Health, Education & Government Life Sciences & Pharma Implantable Devices

Neuromodulation

Regulated development and commercialization journeys where clinical, quality, and market access align.

Medtronic Abbott Boston Scientific Nevro
Inside this journey
  1. Pre-Discovery

    Align the room on outcomes, decision process, and constraints before deeper discovery.

    1. Stakeholder Alignment

      Confirm clinical, administrative, procurement, and payer decision roles, timeline, and measurable success criteria.

      Alignment Questions

      Start: Tell Us About Your Practice

      • Briefly describe your practice—specialty, facility type, and how many neuromodulation implants you perform annually.
      • Which neuromodulation therapies do you routinely implant or manage? Options: Spinal Cord Stimulation (SCS), Dorsal Root Ganglion (DRG) Stimulation, Peripheral Nerve Stimulation (PNS), Deep Brain Stimulation (DBS), Responsive Neurostimulation (RNS), None / I refer out
      • Who typically owns patient selection and eligibility at your center? Options: Pain physician, Functional neurosurgeon, Neurologist, Multidisciplinary committee, Clinic manager, Other
      • How would you describe your center’s appetite for adopting new stimulation technologies or waveforms? Options: Very early adopter, Cautious early adopter, Wait-and-see, Conservative / rarely change
      • What patient characteristics most commonly make you consider device therapy? (give examples or thresholds)

      What’s Actually Blocking Patients From Getting Better?

      • What prevents patients who look like good candidates from reaching a successful implant and meaningful, sustained relief?
      • How often do logistical issues—OR time, scheduling, or device availability—delay or derail treatment? Options: Almost always, Often, Sometimes, Rarely
      • How often do insurance or prior authorization problems force you to change therapy or abandon a plan? Options: Almost always, Often, Sometimes, Rarely
      • Which non-clinical factors most commonly stop a patient from converting from trial to implant? Options: Prior authorization denial, Patient inability to recharge, Lack of caregiver support, Scheduling/OR delays, Cost concerns, Other
      • When those barriers happen, how does it affect the team and the patient emotionally and operationally?

      Who Really Decides — And Who’s Silent?

      • If the purchase and clinical decision were a team sport, who’s carrying the ball—and whose voice is missing when it matters most?
      • Which stakeholders are usually involved in the final device decision at your center? Options: Implanting physician, Neurosurgeon, Hospital procurement, Clinical engineering/biomed, Administrators/finance, Patient/caregiver, Payer representative, Referring physician
      • Which of those stakeholders most often tips the decision and why?
      • What timeline and internal checkpoints (committees, approvals) must be satisfied before an implant is scheduled?
      • Are there informal influencers—nurses, CRNAs, patient advocates—who change the outcome after the formal decision is made? Options: Yes, often, Sometimes, Rarely, No

      When Trials Fail: Tell Us the Real Story

      • When a trial doesn’t convert, what usually happened that nobody fixed in time?
      • What are the top reasons trials fail at your center? Options: Insufficient programming optimization, Lead migration or technical issue, Inadequate patient selection, Patient couldn’t manage recharge, Infection or complication, Payer withdrew coverage, Side effects or intolerability
      • How quickly do you escalate to vendor field clinical engineering when programming is complex during a trial? Options: Immediately (same day), Within 48 hours, Within a week, Rarely involve vendor
      • Which objective metrics do you require to convert a trial to implant (be specific—% pain reduction, functional measure names, opioid reduction thresholds)?
      • Tell us about one trial that failed and what you wish had been done differently—logistics, programming, patient prep, or vendor support.

      What Outcome Would Make You Proud?

      • If you had to present one patient that proves the value of your neuromodulation program, what would that case look like?
      • Which outcome measures matter most to you and your team when judging success? Options: NRS pain reduction, Oswestry Disability Index (ODI), EQ-5D / QoL, Opioid dose reduction, Trial-to-implant conversion rate, Seizure frequency reduction, Tremor amplitude reduction, Patient satisfaction
      • What conversion rate and explant/failure rate would you consider acceptable from a new device in your center (select a range)? Options: Conversion ≥ 80% / Explant ≤ 5%, Conversion 60–79% / Explant 6–10%, Conversion 40–59% / Explant 11–20%, Conversion <40% / Explant >20%
      • How important is battery longevity versus recharge burden for your patient population? Options: Battery longevity is primary, Recharge burden matters more, Both equally important, Depends on patient profile
      • Describe the lifestyle trade-offs your ideal patient is willing to accept to achieve sustained benefit (travel, recharge, device visibility, MRI constraints).

      Where Tech or Support Has Let You Down

      • What has a vendor done—or failed to do—that led you to lose confidence in their technology or team?
      • Which vendor behaviors undermine your trust most? Options: Delayed field support, Inconsistent device availability, Limited programming flexibility, Poor clinician training, Slow software updates, Opaque clinical evidence
      • On a 1–5 scale, how responsive are your current field clinical reps when you need urgent programming help? Options: 1 - Not responsive, 2 - Below average, 3 - Average, 4 - Good, 5 - Exceptional
      • When you need urgent remote programming or troubleshooting, what typically happens and how does it feel for you and the patient?
      • Which training formats have been the most effective for your team? Options: Hands-on OR proctoring, Simulation lab, Virtual live training, On-demand videos, Peer-to-peer mentorship

      Payers, Prior Auth, and the Hidden Delays

      • What’s the single payer-related obstacle that costs your patients the most time, hope, or clinical momentum?
      • How predictable is prior authorization approval for neuromodulation at your center? Options: Very predictable, Somewhat predictable, Unpredictable, We frequently get denials
      • Which payer objections do you see most frequently? Options: Insufficient documentation, Trial-to-implant coverage limits, Device type restrictions (rechargeable vs non), Medical necessity challenges, Coverage only after conservative therapy
      • How much added time do prior auth processes add to a patient’s treatment timeline on average? Options: <1 week, 1–3 weeks, 1–2 months, >2 months
      • What documentation or clinical evidence do payers request that you find most burdensome? Options: Operative notes, Pain diaries, Functional outcome measures, Prior conservative therapy records, Specialist consult notes
      • Have you used third-party prior authorization support or a reimbursement concierge—did it change approval speed or outcomes? Options: Yes, significantly improved, Yes, modest improvement, No change, We have not used

      The Operating Room — Where Plans Meet Reality

      • What usually breaks down between the plan on paper and the OR table during implantation?
      • Which OR constraints cause the most friction for implant procedures? Options: Limited OR time, Inadequate imaging availability, Staffing gaps, Anesthesia scheduling, Sterile processing delays, Lead/device not available
      • How often are procedures delayed or rescheduled due to OR or equipment issues? Options: Very frequently, Often, Occasionally, Rarely
      • Who owns coordination of device inventory, programming hardware, and field rep presence before the OR start? Options: Clinic coordinator, OR manager, Field clinical rep, Implanting physician, Clinical engineering/biomed
      • What would make OR procedures smoother from your perspective—logistics, staffing, device provisioning, or training?

      If We Did Our Job Perfectly, What Next?

      • Imagine every trial converted on schedule and patients maintained meaningful benefit—what would change for your practice in the next 12 months?
      • How would sustained success change referral patterns, OR utilization, or your clinic’s capacity planning?
      • Which vendor-provided services would matter most to sustain that success? Options: Dedicated field clinical engineer, Reliable device inventory, Remote programming platform, Reimbursement concierge, Structured clinician training, Patient education/coaching
      • Would you be open to a time-limited pilot that measures trial-to-implant conversion and patient outcomes side-by-side with your current approach? Options: Yes — interested, Maybe — need more info, No — not interested
      • If yes, what specific success criteria and timeline would you require to commit (metrics, sample size, review cadence)?
    2. Clinical Workflow Mapping

      Document patient selection, trial-to-implant pathways, OR and clinic constraints, and prior authorization failure modes.

      Current State

      Getting Comfortable Together

      • Tell us about your practice setting and team—where do you treat neuromodulation patients? Options: Academic medical center, Community hospital, Ambulatory surgical center (ASC), Private practice, Specialty clinic, Other
      • Roughly how many neuromodulation trials and permanent implants do you perform per year? Options: 0–10, 11–30, 31–75, 76–150, 150+
      • Which specialties are involved in patient selection and implantation at your site? Options: Pain medicine, Functional neurosurgery, Neurology, Anesthesiology, Physical medicine & rehab, Other
      • How is responsibility split between clinic and OR for trial setup, programming, and follow-up?
      • Who on your team usually owns communication with device field clinical engineers and reps? Options: Physician, Advanced practice provider (APP), Nurse coordinator, Clinic manager, Hospital clinical engineering, Other

      Who Actually Decides—and Who’s Silent?

      • If you had to name the single biggest non-clinical barrier to getting a patient from consult to implant, what would it be?
      • List the decision-makers who influence whether a patient proceeds (clinical, administrative, procurement, payer, family). Who tends to push back?
      • Which stakeholder most commonly dictates timeline pressure: clinical team, hospital admin, payer, or patient/family? Options: Clinical team, Hospital administration, Payer, Patient / family, Research protocols
      • Have disagreements between stakeholders ever led to delayed or cancelled implants? Tell us about one recent example and how it felt to the team.
      • Who at your site signs off on acceptance criteria after implant (e.g., physician, multidisciplinary panel, quality department)? Options: Lead physician, Multidisciplinary team, Clinic manager, Hospital quality/safety, Other

      Which Patients Do You Reach For — And Which Do You Keep Waiting?

      • Are there patient profiles you instinctively offer trials to—and profiles you won’t? What’s driving those instincts?
      • What objective criteria do you use to select trial candidates (diagnosis codes, prior treatments, pain scores, diagnostic imaging, psychological screening)? Options: Chronic pain >6 months, Failed conservative therapy, Opioid reduction goal, Specific diagnosis (FBSS, CRPS, etc.), Psychological clearance, Other
      • Which comorbidities or social factors most often push you away from recommending a trial (substance use, cognitive impairment, lack of support, mobility limitations)? Options: Substance use disorder, Active severe psychiatric illness, Cognitive impairment, Lack of caregiver/support, Unstable medical comorbidities, Other
      • Walk us through a recent borderline patient you debated—what tipped the decision and how long did that debate take?
      • Where do your referrals most commonly come from (self-referral, PCP, surgical colleagues, pain networks)? Options: Self-referral, Primary care, Orthopedics, Neurosurgery, Neurology, Other specialists

      From Trial to Implant: Where Does It Break Down?

      • What if most trial failures are not clinical but logistical—how often does a non-clinical issue stop a good candidate from converting? Options: Almost always, Often, Sometimes, Rarely, Never
      • What is your typical trial-to-implant conversion rate, and how stable has that number been over the past 12 months? Options: <30%, 30–50%, 51–70%, 71–90%, >90%
      • For trials that don’t convert, what are the top three reasons (e.g., inadequate pain relief, device intolerance, scheduling/insurance, patient withdrew)? Options: Inadequate pain relief, Intolerance/side effects, Device-related complications, Insurance/prior auth issues, Patient preference/withdrawal, Other
      • Describe the touchpoints you use during a trial to monitor progress (phone check-ins, clinic visits, remote programming)—which tend to be most predictive of success? Options: Phone calls, In-clinic programming visits, Remote programming/telehealth, Patient-reported outcome surveys, Wearable/actigraphy data, Other
      • When a trial looks promising clinically but fails administratively (e.g., prior auth lapse, scheduling delay), what usually prevents remediation?

      The OR and Clinic Rhythm: What Slows You Down?

      • If you could eliminate one recurring OR or clinic bottleneck immediately, what would free up the most capacity?
      • What are your typical constraints around OR time and availability for implants (block scheduling, on-call windows, ASC access)? Options: Dedicated block time, Shared block time, On-call/emergency slots, ASC scheduling only, Variable/unpredictable
      • Which pieces of equipment or supplies most often cause last-minute cancellations or delays (programmers, lead sets, sterile trays, batteries)? Options: Programmer availability, Lead/lead extensions, Sterile implant trays, Batteries/power modules, Imaging/navigation tools, Other
      • How reliable is credentialing and privileging for your implanting clinicians and field engineers—have gaps ever caused cancellations? Options: Very reliable, Mostly reliable, Occasionally problematic, Frequently problematic
      • What typical OR staffing mix do you need for a smooth implant (scrub tech, neurophysiology tech, anesthesia type), and which role is most often missing or overbooked?

      Prior Auths and Payers: The Hidden Surgery

      • What if prior authorizations are the single biggest adversary to a timely implant—how often do they change the clinical plan? Options: Very often, Often, Sometimes, Rarely, Never
      • Which payers do you treat most frequently, and which are the hardest to get approval from? Options: Medicare, Medicaid, Commercial A, Commercial B, Self-pay, Other
      • What percentage of authorizations are approved on first submission, and how long does the average approval take? Options: <25%, 25–50%, 51–75%, 76–90%, >90%
      • When authorizations are denied, what are the most common reasons (medical necessity, missing documentation, coding errors, payer policy)? Options: Medical necessity, Incomplete documentation, Coding/billing errors, Payer policy exclusions, Prior surgery history, Other
      • Who manages appeals and prior auth follow-up at your site, and how much clinical time does that consume weekly? Options: Physician, APP/Nurse, Dedicated prior auth coordinator, Third-party service, Other

      Patient Experience & Lifestyle: Recharge Burden, Expectations, and Regret

      • How often do lifestyle concerns (recharging, MRI limitations, body image) drive patients to decline a particular device option? Options: Very often, Often, Sometimes, Rarely, Never
      • Which device features trigger the most patient questions or hesitation (recharge frequency, longevity, size, MRI-conditionality, remote control)? Options: Recharge frequency, Battery longevity, Device size/visibility, MRI-conditional restrictions, Remote programming requirements, Other
      • Describe how you counsel patients on rechargeable vs non-rechargeable options—what trade-offs do patients find hardest to accept?
      • Have you had patients request explant or conversion due to recharge burden or lifestyle mismatch? Tell us what led to that decision.
      • What tools, educational materials, or demos have helped patients feel confident about the device lifestyle? Which have failed?

      Programming, Support, and Field Team Dynamics

      • What if timely programming support is the difference between sustained benefit and explant—how quickly do you need field or remote support during a trial or early post-op? Options: Immediate (same day), Within 24 hours, 48–72 hours, Within a week, Longer
      • How satisfied are you with the clinical expertise and availability of field clinical engineers during trials and implants? Options: Very satisfied, Satisfied, Neutral, Dissatisfied, Very dissatisfied
      • Which programming challenges most commonly require escalation to engineering or manufacturer clinical specialists (complex waveforms, lead migration, patient-specific anatomy)? Options: Complex waveform optimization, Lead migration issues, Unexpected side effects, Anatomical programming limitations, Device-software issues, Other
      • Do you use remote programming or tele-stimulation for follow-up? If yes, how often and for which scenarios? Options: Not used, Used occasionally, Used routinely for early follow-up, Used for long-term optimization
      • When a programming issue persists, what internal escalation path do you follow and how long before you involve the manufacturer?

      Data, Metrics, and Acceptance: How Do You Know It's Working?

      • If we measured one thing that would convince your team a therapy is successful, what would that metric be (pain score reduction, opioid reduction, function, quality of life)? Options: Pain score reduction, Opioid dose reduction, Improved function/ADLs, Patient satisfaction/QoL, Reduction in healthcare utilization, Other
      • What standardized outcome measures do you collect during trial and after implant (NRS, ODI, PROMIS, PDQ, seizure frequency)? Options: NRS/VAS, ODI, PROMIS, PDQ, Seizure logs, Other
      • What are your formal acceptance criteria post-implant (minimum % pain reduction, functional improvement, or trial signal), and who signs off?
      • How do you document and track explants, conversions, and long-term device performance across patients? Options: EMR problem list, Registry/database, Spreadsheets, Manufacturer tracking, We don't track systematically
      • What frequency of follow-up visits or remote checks do you find ideal in the first 6 months to catch issues before they lead to explant? Options: Weekly, Bi-weekly, Monthly, Every 3 months, On-demand

      What Would Happen If You Changed This Process?

      • Imagine the trial-to-implant pathway worked seamlessly—what would that free you to do clinically and operationally?
      • What single operational change (scheduling, staffing, payer strategy, device selection) do you believe would lift your conversion rate the most?
      • How much organizational appetite is there for testing a new workflow or device-support model right now? Options: High — ready to pilot, Moderate — open with caveats, Low — need convincing, None — not a priority
      • If we propose a pilot that targets one bottleneck you named, who would need to be involved and who would champion it at your site?
      • What concerns would you have about trying a different approach, and what would you need to see to feel safe moving forward?
  2. Outcome Discovery

    Define target clinical outcomes, acceptable trial conversion rates, patient lifestyle trade-offs, and success signals.

    Discovery Questions

    Start Here: What Outcome Are Patients Really Seeking?

    • When you think about a patient who leaves your clinic truly satisfied, what single clinical outcome comes to mind first?
    • Which measurable outcomes do you routinely use to judge therapy success for these patients? Options: Pain intensity reduction (NRS/VAS), Functional improvement (ODI/PDQ/UPDRS), Medication reduction, Return-to-work or ADL improvements, Seizure frequency reduction, Tremor reduction, Quality of life scores, Other
    • What is the earliest timeframe in which a patient benefit needs to appear for you to consider a trial successful? Options: Within 24–72 hours, Within 1–2 weeks, Within 4–6 weeks, Within 3 months, Longer than 3 months
    • And how does that expected timeline influence whether you convert a trial to a permanent implant?
    • Give an example of a recent patient whose outcomes best represent what you’d call a clear clinical win — what changed and how was it measured?

    Are We Settling for ‘Good Enough’?

    • How often do your patients achieve the level of sustained benefit you intended after implant? Options: Almost always, Most of the time, About half the time, Rarely, Almost never
    • When outcomes degrade over months or years, what causes do you most commonly see? Options: Loss of efficacy/tolerance, Lead migration/technical issues, Suboptimal programming, Disease progression, Patient non-adherence (recharge/usage), Inadequate trial selection, Other
    • Tell me about a case where a patient did well initially but lost benefit later — what do you think shifted, and how did that change your approach?
    • How does experiencing unexpected explants or declining outcomes affect your confidence in a device or vendor? Options: Significantly lowers confidence, Somewhat lowers confidence, Neutral, Can be managed with support, Not affected
    • What emotional and practical consequences do these ‘good enough’ outcomes create for your patients and your practice?

    What Would You Trade For Better Outcomes?

    • If a device produced clearly superior long-term pain control, how much patient-level lifestyle trade-off would you accept (e.g., recharge time, sensation, limitations)? Options: Minimal trade-off only, Some trade-off if benefit is large, Significant trade-off acceptable, Depends entirely on patient preference
    • Which of these patient lifestyle impacts most often determines device acceptance? Options: Recharge frequency/duration, Sensation during stimulation (paresthesia), Restrictions for MRI/travel, Device size/visibility, Battery end-of-life/explant risk, Other
    • What recharge cadence (or non-rechargeable preference) do most of your patients find acceptable before it becomes a meaningful barrier? Options: Daily <10 minutes, Daily 10–30 minutes, Weekly sessions, Monthly, Prefer non-rechargeable
    • How do you typically counsel patients about trade-offs (recharge burden, programming complexity, MRI limits) — and which objection do you hear most?
    • When a patient accepts a trade-off, what reassurance or support makes them feel comfortable moving forward? Options: Clear outcome data, Hands-on training, Fast field support availability, Warranty/return policy, Peer patient testimonials, Other

    Where Trials Break Down (and Why That Matters)

    • If trial conversion could improve 10–20% at your center, how would that change your practice or willingness to adopt new devices? Options: I’d adopt new devices faster, I’d expand trial use, It would have modest impact, No change
    • What is your typical trial-to-implant conversion rate today (approximate)? Options: <50%, 50–69%, 70–84%, 85–94%, 95%+
    • Which failure modes occur most during trials at your center? Options: Inadequate pain relief, Programming complexity or lack of settings, Patient intolerance to sensation, Device or lead technical issues, Insurance/authorization delays, Patient non-adherence with trial protocol, Other
    • What changes in trial setup, programming protocol, or field support have previously helped raise conversion at your site?
    • How important is immediate on-site clinical engineering support during trial setup and early programming to your conversion success? Options: Critical, Very important, Somewhat, Not important

    How Do You Know the Therapy Is Working?

    • What early signals during a trial reliably predict sustained benefit after implant in your experience? Options: Consistent pain score drop across activities, Medication reduction, Improved sleep or mood, Functional gains (walking/daily tasks), Objective sensor data, Patient-reported meaningful change, Other
    • Which objective measures do you require before deciding to convert a trial to implant? Options: >30% pain reduction, >50% pain reduction, Documented functional improvement, Medication decrease, Patient-reported goal met, No strict numeric threshold
    • How frequently do you reassess patients during a trial to capture signal vs noise? Options: Daily, Weekly, At predefined milestones (e.g., 7, 14 days), Only at trial end, Other
    • Do you use wearables, activity monitors, or remote programming logs to augment clinical assessment? If yes, describe which and how they inform decisions. Options: Yes — wearables/activity monitors, Yes — remote programming/usage logs, Yes — both, No
    • When do you escalate to advanced programming strategies or vendor escalation vs concluding the trial is failing?

    What Would It Take to Change Your Device Choice?

    • What evidence threshold would prompt you to switch to a new neuromodulation platform? Options: Randomized controlled trial, Robust real-world registry data, Head-to-head comparative data, Compelling pilot case series in similar patients, Strong field support guarantees
    • How important is programming waveform flexibility (ability to combine waveforms, custom pulses) in your selection decision? Options: Critical, Very important, Nice to have, Not important
    • What minimum battery longevity or lifecycle expectation do you consider acceptable for your patient population? Options: >10 years, 7–10 years, 4–7 years, Rechargeable with long lifespan, Prefer non-rechargeable if lasts long enough
    • How fast must a vendor’s field clinical team respond to complex programming requests for you to consider them reliable? Options: Same day, Within 24–48 hours, Within 3–5 business days, Routine next-week scheduling
    • Would you be open to a limited pilot (5–20 patients) to validate outcomes before wider adoption? If yes, what would success look like? Options: Yes — clear numeric thresholds, Yes — qualitative clinician confidence, Maybe — depends on support, No

    If Everything Went Right — What Then?

    • Imagine a rollout where every pilot patient hit your success criteria — what are the top three operational and clinical outcomes you’d want documented before scaling?
    • Which stakeholders must sign off before you feel comfortable expanding use (clinical leadership, procurement, payers, device committee)? Options: Clinical leadership/department chair, Procurement/finance, Payer/insurance team, Clinical engineering/biomed, Patients/peer advocates, Other
    • What payer evidence or pre-authorization outcomes would reduce rollout friction at your institution? Options: Published clinical outcomes, Cost-effectiveness data, Local pilot success, Coding/coverage guidance, Patient satisfaction data, Other
    • What training, on-site presence, or remote enablement from the vendor would make you feel the pilot is low risk? Options: On-site clinician and CE support, Structured training program with competency checks, Remote programming and monitoring, Dedicated clinical success manager, Registration and reimbursement assistance
    • Realistically, what timeline would you need from pilot start to go/no-go decision for a scaled program? Options: <1 month, 1–3 months, 3–6 months, 6–12 months, Longer than 12 months
  3. Solution Experience

    Walk through outcome-led scenarios showing how device waveforms, programming strategies, and field support deliver sustained patient benefit.

    Experience Meetings

    • Solution Experience Kickoff — Current State, Consequence & Future State
    • Outcome-Led Clinical Scenario Walkthrough — Pain & Movement Disorder Cases
    • Live Programming & Field Support Simulation
    • Validation, Trial Acceptance Criteria & Trial-to-Implant Commitment
    • Both: Schedule post-trial outcomes review meeting to validate metrics against acceptance criteria.
    • Customer: Flag which scenario(s) map to live trial candidates and note any clinical constraints.
    • Field Team: Prepare checklist for on-site vs remote support needs per scenario.
    • Session Setup & Success Criteria
    • Prove that the programming approach reproducibly achieves the defined future-state metrics in a controlled simulation.
    • Confirm the field support workflow and SLAs are sufficient to resolve trial issues without delaying time-to-implant.
    • Ensure clinicians feel confident executing the programming steps or requesting the demonstrated field escalation.
    • Field Clinical Engineer: Share stepwise programming runbook, troubleshooting flowchart, and contact SLAs.
    • Seller: Provide remote-programming access checklist and telemetry dashboard examples.
    • Customer: Identify one upcoming trial patient to use the live support pathway for hands-on validation.
    • Review Validated Outcomes
    • Establish measurable trial acceptance criteria that prove the desired future state.
    • Assign operational responsibilities (device, scheduling, field support, payer submission) with dates and owners.
    • Ensure payer risk is mitigated with an evidence package and contingency plan.
    • Agree on a post-trial review cadence and data to be collected for validation.
    • Seller: Produce a trial runbook including programming presets, acceptance checklist, escalation steps, and data capture template.
    • Customer: Confirm trial patient and provide informed-consent and scheduling windows.
    • Seller/Field Team: Reserve devices and field clinical engineer coverage for planned trial dates.
    • Customer: Submit prior authorization with provided evidence packet; notify seller of any payer pushback.
    • Introductions & Objectives
    • A single, crystal-clear statement of the customer's current state that will drive the experience.
    • A quantified statement of consequence that creates urgency for change.
    • A concise, measurable future-state outcome that the solution experience must prove.
    • Agreement on required pre-work (patient cases, baseline metrics, prior auth history) and delivery dates.
    • Customer: Deliver 3 representative patient cases (de-identified) with baseline pain/function scores, prior auth history, and prior device/trial outcomes.
    • Customer: Share historical trial conversion, explant, and recharge-adherence metrics for similar patient populations.
    • Seller: Prepare scenario templates mapped to each patient case and identify required device logs/evidence to prove outcomes.
    • Seller: Schedule scenario walkthrough and assign field clinical engineer for live demo session.
    • Recap of Agreed Current/Future State
    • Demonstrate a direct, evidence-backed line from waveform/programming choice to the customer's future-state metrics.
    • Obtain clinician validation that the scenarios match real practice and would change their clinical decisions.
    • Identify any scenario gaps or special-case tolerances that require alternative programming or field support.
    • Seller: Deliver scenario-specific programming templates (parameter presets) and concise evidence summaries for each case.
    • Customer Current State (one sentence)
    • Define Trial Acceptance Criteria
    • Live/Simulated Programming Walkthrough
    • Scenario 1 — Chronic Back Pain / FBSS
    • Remote Programming & Telemetry Demo
    • Consequence Quantification
    • Programming Baselines & Escalation Triggers
    • Scenario 2 — Neuropathic / DRG-Favored Pathway
    • Operational Logistics & Roles
    • Define Future State (one sentence)
    • Scenario 3 — Movement Disorder / Essential Tremor or Epilepsy
    • Field Support Role-Play: Non-responder Troubleshooting
    • Scope & Pre-work Agreement
    • Validation Check & SLA Review
    • Payer / Prior Authorization Contingency
    • Operational Metrics Translation
    • Validation & Clinician Confirmation
    • Sign-off & Next Steps
    • Validation Checkpoint & Next Steps
  4. Solution Scope

    Define devices, trial provisioning, battery/recharge options, programming support, training, and payer assistance with acceptance criteria.

    Scope Configuration

    • Provision Trial Neurostimulation Kit
    • On-site Trial Programming Support
    • Intraoperative Implant Programming Support
    • Deliver Wireless Clinician Programmer
    • Remote Programming and Telemetry Sessions
    • Post-Implant Optimization Visit
    • Field Clinical Troubleshooting for Complex Cases
    • Provide MRI Safety and Scan Protocol Package
    • Patient Recharge and Device Care Training
    • Configure Recharge and Power-Saving Profiles
    • Retrieve Device Runtime Logs Post-Explant
    • Deliver Clinician Programming Training Workshop

    Scope Questions

    Provision Trial Neurostimulation Kit

    • Which trial system type do you require? Options: Percutaneous lead trial kit, External wearable trial system, Temporary implantable trial lead, Combination (specify in next question)
    • How many trial kits do you anticipate needing per site for the initial rollout? Options: 1-2, 3-5, 6-10, More than 10
    • What is the typical trial duration you plan to use (days)? Options: 1-3 days, 4-7 days, 8-14 days, Custom
    • Are specific device models, lead types, or waveform-capable kits required for the trial?
    • Do you require single-patient sterile consumables included (e.g., dressings, anchors, connector caps)? Options: Yes, No
    • What are your shipping and inventory preferences for trial kits (on-demand, consignment, scheduled replenishment)? Options: On-demand shipping, Consignment stock at site, Scheduled replenishment, Hospital-managed inventory
    • Who will handle billing/consumption tracking for trial kits at the facility? Options: Manufacturer handles billing, Hospital handles billing, Third-party billing, Undecided — need guidance

    On-site Trial Programming Support

    • Do you require an on-site field clinical specialist during trial initiation? Options: Always, For first 1-2 cases only, Only for complex cases, No
    • What level of programming complexity do you expect for trials? Options: Basic (standard presets), Intermediate (custom waveforms), Advanced (multi-frequency/closed-loop), Unsure — request assessment
    • How many hours of on-site support should be planned per trial case? Options: 1-2 hours, 3-4 hours, Full day (6-8 hours), Per-case basis — please specify
    • Are there credentialing or hospital onboarding steps required for field staff before on-site support? Options: Yes, No, Unknown — advise
    • Please list preferred programming goals or target parameters for trial (e.g., paresthesia coverage, burst settings, frequency ranges).
    • Do you want the on-site specialist to provide an immediate trial success checklist and recommended conversion criteria? Options: Yes, No
    • Will the clinic supply an internal clinical engineer or tech to assist the field specialist during programming? Options: Yes, No, Sometimes — depends on case

    Intraoperative Implant Programming Support

    • Do you require a field clinical engineer in the OR for implant programming? Options: Yes — for all implants, Yes — first implants only, Only for complex anatomies, No
    • What is the preferred timing for programming support in the OR (e.g., intraop testing, immediate post-closure)? Options: During lead placement/testing, Before wound closure, Immediately post-op in PACU, Other (specify)
    • Are intraoperative neurophysiology or EMG monitoring teams present and do they need coordination? Options: Yes — coordinate timing, No, Sometimes — depends on case
    • Which programming objectives should be prioritized intraop (e.g., paresthesia mapping, threshold testing, amplitude limits)?
    • Do you require documentation of final implant settings and a device interrogation report to be delivered to the EMR? Options: Yes — PDF + EMR upload, Yes — PDF only, No
    • Will the implant procedure include battery selection discussion (rechargeable vs non-rechargeable) during OR planning? Options: Yes — decide at implant, Decided pre-op, Not applicable
    • Are there OR access or sterility requirements for external programming hardware (e.g., sterile covers)? Options: Yes — provide covers, No, Unsure — need guidance

    Deliver Wireless Clinician Programmer

    • Do you want a loaner programmer or a permanent device delivered to the clinic? Options: Loaner (short-term), Permanent unit, Both (loaner + permanent)
    • Which programmer model or software version is required/preferred?
    • Do you require an IT/security review for wireless clinician programmers (e.g., hospital whitelist, encryption)? Options: Yes, No, Unsure — please advise
    • Should the programmer be pre-configured with hospital profiles, default templates, and clinician accounts? Options: Yes — pre-configured, No — configure on delivery, Partial — templates only
    • What accessories are required with the programmer (e.g., charging dock, sterile covers, spare batteries)?
    • What is the desired delivery timeline and logistics point-of-contact for receiving the programmer?
    • Do you require a device handover checklist and acceptance sign-off upon delivery? Options: Yes, No

    Remote Programming and Telemetry Sessions

    • Do you intend to use remote programming as a standard follow-up option? Options: Yes — for most patients, Yes — only for select patients, No
    • How many remote sessions per patient do you anticipate in the first 12 months? Options: 1-2, 3-5, 6-10, More than 10
    • Does your facility have network/firewall constraints that could block remote programmer connections? Options: Yes — restrictions exist, No — open, Unsure — need IT review
    • Do patients have the necessary home technology for telemetry sessions (smartphone/tablet, internet)? Options: Most do, Some do — variable, Few/no patients do
    • Are there required consent or legal workflows for remote programming and data collection at your institution? Options: Yes, No, Unsure — need guidance
    • What security/compliance requirements must remote sessions meet (e.g., HIPAA, local regulations)?
    • Preferred scheduling cadence and time windows for remote sessions (e.g., business hours, evenings, weekends)? Options: Business hours, Evenings, Weekends, Flexible — patient dependent

    Post-Implant Optimization Visit

    • When should the first post-implant optimization visit occur? Options: 1 week, 2 weeks, 4-6 weeks, Other (specify)
    • Who will perform the optimization visit? Options: Implanting physician, Clinic nurse/PA, Field clinical specialist, Combination (specify)
    • What are the primary objectives of the visit (e.g., pain score improvement, programming baseline, recharge education)?
    • Do you require formal outcome measures to be collected during optimization (e.g., NRS, ODI, PD-specific scales)? Options: Yes — standard set, Yes — custom set, No
    • Should optimization visits include hands-on patient recharge training and caregiver education? Options: Yes — always, Yes — if patient chooses rechargeable device, No
    • Do you want the optimization visit to include programmed remote-follow-up triggers based on telemetry (e.g., battery alerts)? Options: Yes, No, Maybe — discuss options
    • Preferred visit format? Options: In-person, Remote video, Hybrid (initial in-person, follow-ups remote)

    Field Clinical Troubleshooting for Complex Cases

    • How do you define a 'complex case' that requires field troubleshooting (e.g., failed trial conversion, unusual pain distribution, hardware issues)?
    • What response SLA do you expect for troubleshooting requests? Options: 4 hours, 24 hours, 48 hours, Next business day
    • Do you require on-site dispatch of a clinical engineer for escalations or will remote troubleshooting suffice? Options: On-site required for escalations, Remote first, then on-site if needed, Remote only
    • Should troubleshooting include access to backup trial devices or loaner implants? Options: Yes — backup devices available, No — clinic provides backups, Case-by-case
    • Do troubleshooting cases require a formal RCA (root cause analysis) and follow-up report? Options: Yes — RCA and report, No — resolution only, Only for device failures
    • Are specific hospital approvals or credentialing required for field staff to perform escalated troubleshooting onsite? Options: Yes, No, Varies by site
    • Please provide examples of recent complex cases or failure modes you want the field team to be prepared for.

    Provide MRI Safety and Scan Protocol Package

    • Do you require MRI-conditional labeling and site-specific scan protocols for implanted devices? Options: Yes — full package, Yes — summary only, No
    • Which MRI types are anticipated (head, spine, cardiac, full-body)? Options: Head, Spine, Cardiac, Full-body, Other
    • Do you need a pre-scan clearance workflow and a template checklist for radiology teams? Options: Yes, No, Maybe — discuss
    • Would you like patient wallet cards, implant ID sheets, and EMR-friendly protocol attachments delivered? Options: Yes — all materials, Only electronic copies, No
    • Should the MRI package include recommended scanner settings (SAR limits, coil recommendations) and contraindications per model? Options: Yes, No
    • Do your radiology teams require on-call technical support during MRI scans for implanted patients? Options: Yes — 24/7, Business hours only, No
    • Are there institutional policy constraints we should be aware of (e.g., creation of local SOPs, legal review)?

    Patient Recharge and Device Care Training

    • Which training formats do you prefer for patients and caregivers? Options: In-person demonstration, Video tutorials, Printed quick guides, All of the above
    • Who should receive training (patient only, patient + caregiver, clinic staff)? Options: Patient only, Patient + caregiver, Clinic staff only, All relevant parties
    • How many training sessions do you expect before patient is independent with recharging? Options: 1 session, 2-3 sessions, More than 3, Depends on patient
    • Do you require multi-language training materials or accessibility accommodations? Options: Yes — specify languages, No
  5. Mutual Commit

    Finalize commercial terms, service commitments, trial-to-implant logistics, and responsibilities for clinical engineering support.

    Agreement Modules

    • Statement of Work (SOW)
    • Master Commercial Terms
    • Trial-to-Implant Logistics Agreement
    • Clinical Engineering Support Agreement
    • Service Level Agreement (SLA)
    • Prior Authorization & Reimbursement Support Plan
    • Training & Competency Agreement
    • Device Availability & Inventory Commitment
    • Warranty, Repair & Returns Policy
    • Data Use & Remote Monitoring Agreement
    • Payment Terms & Invoicing Schedule
    • Regulatory & Compliance Acknowledgment
    • Acceptance Criteria & Success Metrics
    • Change Order & Scope Modification Procedure
    • Termination & Exit Plan
    • Executive & Stakeholder Sign-Off
  6. Deployment

    Operationalize rollout with readiness checks, enablement, and outcome validation.

    1. Pre-Deployment Readiness

      Confirm device availability, OR scheduling, credentialing, patient education, and prior authorization are cleared for execution.

      Readiness Questions

      Quick Check — Where Are We Right Now?

      • Roughly how many neuromodulation procedures (trial + permanent) did your center perform in the last 6 months? Options: 0, 1-5, 6-15, 16-30, 31+
      • How would you describe your current confidence that all items for an upcoming trial/implant can be verified within two business days? Options: Very confident, Somewhat confident, Not confident, We don’t have a process
      • What typically takes the longest to confirm before a scheduled case? Options: Device inventory/availability, Prior authorization, OR slot confirmation, Surgeon credentialing, Patient education/consent, Other
      • If you had to name one invisible bottleneck that only surfaces on the day of surgery, what is it?
      • Which internal team owns day‑of readiness checks at your center? Options: Surgery scheduling/OR coordinator, Clinical engineering/biomed, Nursing manager, Field clinical rep/industry, Multidisciplinary shared ownership, Other

      What’s Behind Schedule Slips?

      • If we’re honest, which recurring issue most often derails scheduled neuromodulation cases? Options: Device or kit not available, Prior auth denial or delay, Staffing or OR overrun, Missing credentialing, Patient not prepared/late, Other
      • How long does a typical slip caused by that issue add to your timeline? Options: Same day cancellation, 1–3 days, 1–2 weeks, 3–6 weeks, Longer than 6 weeks
      • Walk me through the last time this happened—what stopped the case from moving forward and how did it feel for your team and the patient?
      • When these slips happen, what's the most common workaround your team uses? Options: Reschedule the case, Use alternative device/loaner, Escalate to vendor field team, Proceed without key equipment, Cancel and refer elsewhere, Other
      • Who usually owns the communication back to the patient when a scheduled case is delayed or canceled? Options: Scheduling/OR staff, Surgeon or clinic nurse, Field clinical rep, Centralized patient navigator, No one consistently

      Who Really Decides — And What Makes Them Hesitate?

      • Who holds the final 'go/no‑go' for a trial or permanent implant in your organization—and who actually makes the day‑to‑day decisions? Options: Lead surgeon/neurosurgeon, Pain clinic medical director, Hospital procurement/contracting, Insurance/payer, Multidisciplinary committee, Other
      • What specific concerns or metrics cause decision‑makers to pause approval for a case (e.g., evidence level, reimbursement, staffing)?
      • How often does procurement/contracting availability drive the implant timeline rather than clinical readiness? Options: Almost always, Often, Sometimes, Rarely, Never
      • When decision‑makers ask for more data, what evidence moves them fastest (clinical outcomes, trial conversion rates, cost per implanted patient, patient satisfaction)? Options: Clinical trial data, Local center outcomes, Economic/cost model, Patient testimonials, Device longevity/reliability, Other
      • Who should we loop in earlier to reduce approval hesitation, from your perspective?

      When Devices Don’t Show Up — Stories and Impact

      • Tell us about the most impactful time a device, kit, or trial system wasn’t there as expected—what were the downstream effects?
      • How often do you encounter device shortages or missing kits for planned cases? Options: Weekly, Monthly, A few times a year, Rarely, Never
      • What are the most common root causes when equipment is unavailable (supply chain, inventory tracking, shipping, internal stock policies)? Options: Supply chain/manufacturer stock, Internal inventory miscount, Shipping delays, Contracting limits, Loaner policy gaps, Other
      • When shortages happen, how do you measure the cost—financial, reputational, or clinical—to your program?
      • Would standardized pre‑case device checklists or vendor‑managed consignment reduce these incidents for you? Options: Yes — substantially, Yes — somewhat, Maybe, No

      What Would a Flawless Launch Free You To Do?

      • Imagine your next trial‑to‑implant pathway was flawless—what would that change for your patients, your clinic, and your sense of risk?
      • Which measurable outcome would signal success for you after deployment (trial conversion rate, time to optimization, patient satisfaction, revenue neutrality)? Options: Trial conversion rate, Time to optimal programming, Patient-reported outcome improvement, Reduced explant rate, Financial breakeven, Other
      • What emotional shift would your team feel if deployments were predictable and on schedule? Options: Relief/less burnout, Renewed clinical confidence, More willingness to adopt new tech, No change, Other
      • What’s the one metric you’d like us to help you improve most in the first 6 months post‑deployment? Options: Trial conversion percentage, Time from trial to implant, Patient adherence to recharge, Number of programming visits, Reimbursement approval time, Other
      • If we could remove one logistic burden from your team on launch day, what should we take off your plate?

      The Hard Truth About Prior Authorization

      • How frequently does prior authorization feel like an avoidable bottleneck rather than a standard administrative step? Options: Almost always, Often, Sometimes, Rarely, Never
      • What are the top three reasons payers deny or delay authorization for your neuromodulation patients? Options: Incomplete documentation, Lack of prior conservative therapy, Coding errors, Medical necessity debates, Patient eligibility issues, Other
      • Who in your organization handles appeals and tracking of authorizations, and how long does a typical appeal take? Options: Dedicated prior auth team, Clinic nurse/coordinator, Physician signs appeal, Vendor support handles it, No consistent owner
      • What prior authorization support would change the game for you—dedicated appeals support, templated clinical documentation, payer escalation, or something else? Options: Dedicated appeals support, Templated documentation, Payer escalation assistance, Real‑time eligibility checks, Other
      • Describe an authorization win—what did the team do differently and how could we help replicate that process?

      Patient Readiness — More Than Consent

      • How confident are you that patients fully understand life with the device they’re signing up for (charging, follow‑ups, MRI limits, lifestyle effects)? Options: Completely confident, Mostly confident, Sometimes confident, Not confident
      • Which patient concerns most frequently cause them to reconsider or cancel (recharge burden, infection risk, loss of efficacy, lifestyle impact)? Options: Recharge burden, Surgical risks/infection, Efficacy concerns, MRI/scan restrictions, Impact on daily life/work, Other
      • What patient education tools do you currently use before a trial/implant? Options: Printed brochures, Video walk‑throughs, Peer/patient testimonials, In‑clinic demo of device, Online portal/resources, None
      • How often do patients fail to adhere to recharge or follow‑up plans after implant, and what are the usual reasons? Options: Very often, Sometimes, Rarely, Never
      • What would make your patients feel more prepared and confident the week before surgery?

      Coordination & OR Logistics — Where It Breaks

      • Which part of OR coordination gets low priority until it becomes a crisis? Options: Implant kit availability, Field clinical rep presence, Anesthesia planning, Sterile processing/turnaround, Surgery length estimation, Other
      • Are your surgeons and nursing teams credentialed for all device lines you use, and how often does missing credentialing block a case? Options: All credentialed — never a problem, Mostly credentialed — occasional issue, Frequently an issue, Credentialing gaps exist and block cases
      • Do you require a field clinical representative in the room for trials/implants? If yes, how reliably is that requirement met? Options: Yes — reliably present, Yes — sometimes present, No — not required, No — but would find it helpful
      • How do you manage sterile trays and implant kit turnover—centralized supply, vendor consignment, or ad hoc? Options: Centralized hospital supply, Vendor consignment/stock, Ad hoc from clinic, Hybrid model
      • What OR scheduling friction would you eliminate first if you could wave a wand?

      Accepting Responsibility — Who Does What When It Goes Wrong?

      • If deployment day stalls, who do people call first—and does that person have the authority to resolve the issue? Options: OR coordinator, Surgeon, Field clinical rep, Clinical engineering/biomed, Vendor operations, Other
      • Do you have a documented escalation path and on‑call contacts for vendor/device issues on procedure days? Options: Yes — documented and tested, Yes — documented but untested, Informal verbal process, No formal escalation path
      • How would you rate the current responsiveness of vendor field clinical teams when problems arise in the OR? Options: Excellent, Good, Fair, Poor, No experience
      • What service level agreement (SLA) would be meaningful to you for day‑of support (response time, onsite arrival window, remote programming availability)? Options: < 30 minutes response, < 1 hour onsite, < 4 hours onsite, Remote programming within 30 minutes, Other
      • Who should be included in a shared day‑of escalation contact list for your site (names/roles/phones)?

      Action Plan — Clear Steps to Go Live

      • What single change would remove the most friction from your next trial or implant launch? Options: Guaranteed device availability, Prior auth handled externally, Dedicated OR block, Onsite vendor CE/rep coverage, Improved patient education, Other
      • Which of the following readiness items do you want us to validate for your next scheduled case? Options: Device & kits availability, Prior authorization confirmation, OR slot & staffing, Surgeon credentialing, Patient education completed, Field rep scheduled, Other
      • What timeline do you feel is realistic to get to a 'green' readiness state for a single case (from today)? Options: 48 hours, 1 week, 2–4 weeks, 1–2 months, Longer
      • Who on your team will make the final sign‑off that everything is ready to proceed (name/role)?
      • What would success look like on day +30 after implant—please list 3 measurable or observable outcomes you want us to support you in achieving.
    2. Deployment Enablement

      Coordinate field clinical teams, schedule trials and implants, execute clinician and patient training, and enable remote programming.

    3. Validation Checklist

      Verify trial conversion metrics, programming baselines, patient recharge plan, MRI considerations, and formal acceptance after implant.

      Validation Questions

      Getting Comfortable — Tell Us About Your Practice

      • Briefly describe your clinic or hospital setting and the patient populations you treat with neuromodulation.
      • Which procedures do you perform regularly today? Options: Spinal cord stimulation (SCS), Dorsal root ganglion (DRG) stimulation, Peripheral nerve stimulation (PNS), Deep brain stimulation (DBS), Vagus nerve stimulation (VNS), I don't implant but refer
      • Roughly how many trials and permanent implants does your team complete per month? Options: 0–2, 3–5, 6–10, 11–20, 20+
      • Who typically owns device selection and trial/implant decisions in your institution? Options: Attending physician, Surgical service line lead, Multidisciplinary committee, Administration/procurement, Other
      • What matters most to you when choosing a neuromodulation partner—rank or describe top 3 (clinical evidence, programming, battery, field support, payer assistance, MRI, other). Options: Clinical evidence, Programming flexibility, Battery longevity / recharge burden, Field clinical engineering support, Payer/prior authorization assistance, MRI compatibility, Other
      • What have been the most positive experiences you’ve had with device vendors during trials or implants?

      Why Do We Keep Accepting Suboptimal Trials?

      • When a trial fails to convert, what do you most often blame—patient selection, device programming, surgical technique, or follow-up? Why? Options: Patient selection, Device programming, Surgical technique, Inadequate follow-up, Insurance/authorization delays, Other
      • How often do you feel a trial's programming was truly optimized before declaring failure? Options: Almost always, Often, Sometimes, Rarely, Never
      • Walk me through a recent trial that didn't convert—what happened step by step, and what decisions felt irreversible in hindsight?
      • Which signals do you use to decide whether to persist with programming versus stopping the trial? Options: Pain reduction %, Functional improvement, Patient-reported quality of life, Medication reduction, Adverse events/intolerance, Other
      • How does a failed trial feel for you and your team—frustrating, wasted resources, erodes confidence with patients, or something else? Options: Frustrating, Resource-intensive, Erodes patient trust, Clinically informative, Other

      Where the Workflow Really Breaks Down

      • If I asked your OR or clinic staff what the single biggest recurring bottleneck is for trial-to-implant flow, what would they say?
      • How consistent is patient selection criteria across referring physicians and surgeons at your center? Options: Very consistent, Mostly consistent, Some variation, Wide variation
      • Describe the most common administrative or operational failure — scheduling, device availability, insurance denials, or credentialing — and how long it typically delays care. Options: Scheduling delays, Device availability issues, Insurance denials, Credentialing/privileges, Patient education gaps
      • When you encounter delays (e.g., prior auth or device shipping), how do patients react and how often does that change their willingness to proceed? Options: Rarely change mind, Sometimes delay or cancel, Often cancel, Usually transfer care
      • Who on your team usually handles programming during trials and early post-implant visits, and what training gaps exist for them? Options: Physician, Fellow/Resident, Nurse practitioner/PA, Field clinical specialist, Other

      What Outcomes Would Make You Proud

      • If a therapy consistently achieved the outcomes you most want for patients, what would that look like in measurable terms?
      • Which three outcome metrics do you track or wish you tracked most closely? Options: Pain score reduction (NRS/VAS), Functional improvement (ODI/6MWT), Medication reduction (opioid dose), Trial-to-implant conversion rate, Explant rate, Patient satisfaction/PROs, Other
      • How important is battery/recharge burden to your patients' long-term adherence and satisfaction? Options: Primary concern, Important but not primary, Occasionally raised, Not a major concern
      • Tell me about a patient outcome from a neuromodulation case that reinforced your confidence in the therapy—what changed for them, and how did it feel?
      • What would you consider an unacceptable trade-off between pain relief and lifestyle impact (e.g., frequency of recharging, programming complexity, MRI limitations)?

      Choices That Shape Patient Lives

      • Do you default to rechargeable or non-rechargeable devices, and why might you deviate from that default? Options: Rechargeable (default), Non-rechargeable (default), Case-by-case
      • How do you decide whether MRI-conditional features are required up-front versus deferred as a consideration? Options: Always require MRI-conditional, Assess per patient, Rarely required, Unsure
      • Describe a time a device feature (waveform, contact count, remote programming) directly changed a patient’s outcome—what was the feature and result?
      • How involved would you like the field clinical team to be during programming and follow-up—hands-off, on-call, co-programming in-clinic, or embedded on site? Options: Hands-off, On-call support, Co-programming in-clinic, Embedded/onsite
      • What concerns do you have about patient self-management (recharging, remote adjustments), and how do you currently educate or monitor them?

      The Hidden Barriers — Prior Auth, Scheduling, & Supply

      • Why do prior authorizations and payer interactions still feel like a gating factor in your practice? Options: Documentation burden, Clinical criteria mismatch, Delays in approval, Frequent denials, Other
      • How long does the average prior authorization take from submission to approval for neuromodulation in your center? Options: <1 week, 1–2 weeks, 2–4 weeks, >4 weeks, Varies widely
      • When a case is denied, what are the most common reasons given by payers and how do you appeal?
      • How often do device shortages, backorders, or delivery timing force you to reschedule or change device choice? Options: Never, Rarely, Occasionally, Often
      • If a vendor offered managed prior authorization support or inventory guarantees, what value would that create for your team and patients?

      If We Could Prove Value Today

      • Imagine a vendor could guarantee a measurable improvement—what single metric would most convince you to change your device choice or process? Options: Higher trial-to-implant conversion, Lower explant rate, Longer battery life, Faster time-to-treatment, Better patient-reported outcomes
      • What evidence or proof points do you require—randomized data, real-world registries, single-center results, or peer testimonials? Options: Randomized controlled trials, Real-world registry data, Single-center outcomes, Peer-to-peer testimonials, Economic/ROI analyses, Other
      • If we proposed a 90-day proof pilot in your center to validate improved programming workflows, what would success look like operationally and clinically?
      • What logistical or political obstacles within your institution would make running a pilot difficult, and how long would it take to clear them? Options: Contracting, IRB/ethics, Scheduling/OR access, Procurement, None
      • How would you want outcomes from a pilot reported back—format, cadence, and which stakeholders need to see it? Options: Executive summary, Detailed clinical report, Dashboard with KPIs, Quarterly presentation, Other

      Commitments, Measures, and Red Lines

      • What are the non-negotiables for you when agreeing to a commercial partnership (warranty, training, service SLAs, supply guarantees, clear escalation path)? Options: Warranty/repair policy, Comprehensive training, Service-level agreements (SLAs), Inventory/supply guarantees, Escalation path for clinical issues, Other
      • Which post-implant support activities do you expect from a vendor and at what frequency (remote programming, on-site visits, scheduled check-ins)? Options: Remote programming/on-call, On-site clinical specialist visits, Scheduled follow-ups at 2/6/12 weeks, Patient education refreshers, Ad-hoc troubleshooting
      • What would constitute an unacceptable clinical outcome or safety signal that would prompt you to pause implants or re-evaluate the program? Options: High explant rate, Unexpected adverse device events, Significant infection cluster, Rapid battery failures, High rate of non-conversion
      • Realistically, what timeline would you expect from pilot agreement to measurable clinical readouts that inform a long-term decision? Options: 30 days, 60–90 days, 3–6 months, 6–12 months
      • Who else needs to be involved or convinced internally for us to move forward—names, roles, and what would win them over?
  7. Success

    Review clinical outcomes, device performance, explant/conversion data, and maintain a shared channel for issues and enhancements.

    Success Reviews

    • Quarterly Clinical Outcomes Review
    • Device Performance & Reliability Review
    • Trial-to-Implant Conversion & Explant Case Review
    • Shared Channel & Continuous Improvement Forum

    Issues & Enhancements

    • Schedule recurring weekly triage and monthly governance meetings and attach the reporting template.
    • Agree on immediate mitigations and an evidence-backed pilot to test effectiveness.
    • Establish cross-functional owners for engineering, clinical guidance updates, and field execution.
    • Ensure any reportable safety signals are escalated per regulatory timelines.
    • Open engineering investigations for the top 2 hardware failure modes and provide expected timelines.
    • Draft and distribute interim programming guidance to field clinical reps to mitigate identified issues.
    • Schedule bench testing of returned explants and deliver preliminary results within 4 weeks.
    • Stand up a small pilot (3–5 sites) to validate mitigation measures and define monitoring metrics.
    • Current State Summary
    • Pinpoint operational drivers of low conversion or high explant rates that are feasible to change in 60–90 days.
    • Agree on specific trial protocol or patient-education pilots to increase conversion and document owners.
    • Identify payer or scheduling interventions to reduce time-to-implant as a lever for better outcomes.
    • Validate that proposed changes address the documented consequences from failed cases.
    • Update trial protocol checklist (programming baseline, patient recharge counseling, documentation) and distribute to pilot sites.
    • Create a prior-authorization 'fast-path' template for selected payers and test at two sites.
    • Design a small patient education package highlighting recharge expectations and enroll two sites in the pilot.
    • Track conversion metrics weekly for pilot sites and report at the next monthly forum.
    • Purpose & Current Communication State
    • Establish a single shared channel with clear roles, access, and a documented triage workflow.
    • Define SLAs and an escalation path that balance clinical urgency and engineering response capacity.
    • Agree on a prioritization framework so enhancements and bug fixes are transparently scored and scheduled.
    • Validate the process through a realistic example to ensure the channel is usable from Day 1.
    • Create the CustomerNode shared channel and provision access for nominated clinical, field, engineering, and payer contacts.
    • Publish the issue-submission template and triage workflow in the channel including mandatory data fields.
    • Define and publish SLAs and escalation contacts; circulate to all participants.
    • One-sentence Current State Snapshot
    • Ensure all stakeholders share the same concise current-state summary and understand the most critical outcome gaps.
    • Identify top 2–3 high-impact failure modes driving explants or poor outcomes and assign hypotheses for validation.
    • Agree on measurable improvement targets and owners for next quarter.
    • Capture required data pulls and case reviews to validate root-cause hypotheses.
    • Deliver de-identified registry export of outcome metrics and explant timelines for the last 12 months.
    • Assign clinical lead(s) to investigate top 3 explant cases and provide a documented hypothesis within 2 weeks.
    • Set three measurable targets (conversion %, median pain reduction, explant rate) and publish to the shared channel.
    • Schedule focused follow-up session to validate root-cause data within 30 days.
    • Current State One-sentence
    • Identify top device-level failure modes impacting clinical outcomes and quantify their prevalence.
    • Cohort Outcome Metrics
    • Channel Selection and Access
    • Field Performance Metrics
    • Conversion Rate Benchmarking
    • Issue Triage Workflow & Data Requirements
    • Prior Authorization & Scheduling Impact
    • Patient-level Case Highlights
    • Explanted Device Findings
    • SLA & Escalation Path
    • Explant & Conversion Trend Analysis
    • Patient Lifestyle & Recharge Burden Analysis
    • Programming Patterns & Effectiveness
    • Detailed Failed-trial / Explant Case Reviews
    • Consequence & Impact Assessment
    • Regulatory/Complaint Trends & Risk
    • Enhancement Prioritization Framework
    • Reporting Cadence & Templates
    • Operational Opportunities & Protocol Adjustments
    • Root-cause Hypotheses and Data Gaps
    • Mitigation Plan: Engineering, Clinical, Field
    • Validation & Field Pilot
    • Define Future-State Clinical Targets
    • Validation Exercise
    • Decision & Pilot Definition
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