Radiology & Imaging Informatics
Regulated development and commercialization journeys where clinical, quality, and market access align.
Inside this journey
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Pre-Discovery
Align the room on outcomes, decision process, and constraints before deeper discovery.
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Stakeholder Alignment
Confirm decision roles, timelines, budget drivers, and the clinical and IT stakeholders across facilities.
Alignment Questions
Start Here: What’s Top of Mind in Imaging?
- What is the single biggest imaging-related priority for your team right now?
- How many distinct imaging sites or facilities are we talking about?
- Which core systems are currently in place across those sites (pick all that apply)?
- Roughly how many studies does your enterprise handle monthly?
- Who should be in the room as we explore solutions (names and roles are ideal)?
If We Didn’t Fix This, What Would Break Next?
- When you look at your current imaging setup, what’s the one thing you silently worry will fail next?
- How often do those worries materialize into real incidents (downtime, lost access, migration failure, security event)?
- Tell us about a recent incident that felt preventable—what happened and what was the impact?
- How long have you been operating under the risk or limitation you just described?
- What workaround do clinicians or IT use today to avoid that failure, and how does it affect their day?
Who Really Decides (And Who Gets Blamed)?
- If we needed a final signoff for a platform decision today, who would sign it and why?
- Which stakeholders influence budget, clinical adoption, and technical acceptance (select all that apply)?
- Describe any decision-making tensions we should know about—e.g., finance wants lowest TCO while physicians insist on specific visualization tools.
- What budget owner or fund source would pay for consolidation, migration, or advanced visualization?
- Are there procurement timelines, board reviews, or fiscal windows that constrain when a contract can be finalized?
Where the Current Workflow Actually Slows You Down
- When radiologists and technologists talk about daily friction, what three things come up first?
- How much time per study are readers losing due to fragmented systems, slow loaders, or EHR context switching?
- Which workflows are highest priority to optimize—consolidation/readers, EHR access, advanced Viz, AI triage, reporting, or something else?
- Share a short example of a workflow breakdown that directly affected patient care or reporting turnaround.
- How do clinicians describe the emotional impact of current delays or friction—frustration, burnout, liability concern, or something else?
The Hard Numbers: Cost, Waste, and Opportunity
- What is your best estimate of annual spend to maintain current imaging systems (support, storage, licences, and hosting)?
- Beyond hard spend, where do you see hidden costs—overtime, lost productivity, duplicate studies, or penalties?
- If we could quantify one efficiency gain (e.g., 20% faster reads), how would that translate into FTE, patient throughput, or dollars for you?
- How does the cost of migration or consolidation compare in your mind to the ongoing cost of keeping the status quo?
- Who needs a clear ROI model to approve change, and what ROI horizon do they expect (months/years)?
Let’s Talk About Patient Safety and Data Risk
- If a security breach impacted imaging data tomorrow, how exposed do you feel the enterprise would be?
- What are the biggest gaps you’ve identified in data protection, encryption, role-based access, or auditability?
- Do you have recent evidence of risk—penetration reports, audit findings, or security incidents—that we should consider?
- Which compliance frameworks matter most for you (select all that apply)?
- How would a material security improvement change the internal conversation about investing in a new platform?
What Would Success Actually Look Like (Not Just a Headline)?
- If this program is a clear success in 12 months, what three measurable outcomes would you point to?
- Which of these success signals matter most to you (pick up to three)?
- How will clinical leaders and finance validate those outcomes—what dashboards or reports do they expect?
- Who needs to sign the final acceptance that these KPIs are met, and what evidence will satisfy them?
- If we miss one of the success signals, which one would be most tolerable and which would be a deal-breaker?
Integration Reality Check: EHR, AI, and Vendor Ecosystems
- What integration assumptions are you making today that could be dangerously optimistic?
- Which systems must integrate at cutover without exception (select all that apply)?
- What standards and protocols are mandatory for you—DICOM, FHIR, HL7, XDS, SMART on FHIR, or specific vendor APIs?
- Describe any past integration projects that took longer or cost more than expected—what surprised you?
- How important is a single-sign-on and unified workstation experience to radiologist adoption?
Migration Appetite: Fast Cutover or Phased Confidence?
- Would you prefer a big-bang cutover, phased waves by facility/modality, or a hybrid approach—and why?
- What’s the most realistic migration window—weekend cutover, nightly syncs, or multi-week migration windows?
- What rollback, validation, and contingency plans do you require before a cutover is approved?
- Who will own migration tasks, validation, and sign-off on your side? Please name roles and responsibilities.
- What migration risks feel most terrifying to you—lost studies, indexing errors, performance degradation, or clinician disruption?
Adoption and People: Will Clinicians Actually Use It?
- How do your radiologists typically respond to new tools—enthusiastic early adopters, cautious pragmatists, or resistors?
- What training and change management has worked for you in the past—and what failed?
- Which metrics will show us that clinicians are actually using and benefiting from the new platform?
- If a subset of users refuses to adopt, what political or operational consequences should we anticipate?
- Would you consider a pilot with a small group of champions before broad roll-out, and what would success look like for that pilot?
Constraints, Must‑Haves, and Red Lines
- What are the non-negotiable requirements—technical, clinical, legal, or budgetary—that would stop a deal if unmet?
- Are there vendor or technology relationships you cannot replace (e.g., long-term contracts with a modality vendor)?
- Which commercial terms are deal-breakers: data ownership, indemnity, support SLAs, or pricing structure?
- What is your absolute latest go/no-go date to meet regulatory, surgical, or enterprise program deadlines?
- If we can’t meet one constraint, which is most negotiable and which is immutable?
Decision Rhythm: How Quickly Can You Move?
- If we present a recommended scope and price tomorrow, how quickly could your team evaluate and say yes or no?
- What final approvals are required (legal, security, clinical governance, board), and how long do each typically take?
- Which internal stakeholders tend to extend timelines, and what information do they need to move faster?
- What would make you accelerate a decision—clear ROI, pilot success, executive sponsorship, or regulatory pressure?
- Realistically, how committed are you to exploring consolidation and modernization on a scale that impacts the entire enterprise?
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Current State Mapping
Inventory imaging systems, archives, integrations, study volumes, and key failure modes like migration risk and security gaps.
Current State
Quick Snapshot: Your Imaging Footprint
- Which facility types and sites should we include when we talk about your imaging estate?
- Roughly how many studies does your organization generate per year (across the scope above)?
- Which imaging modalities are significant drivers of volume or complexity for you?
- Can you list the core imaging vendors and primary archive/PACS/VNA platforms in use today (vendor + approximate version or deployment year)?
- Which EHR(s) and RIS systems should we expect to integrate with or consider in scope?
Who's Actually Holding the Keys?
- If a single person could block or accelerate an imaging consolidation, who is that person and why?
- Which stakeholders need to sign off on architecture, clinical workflow, and budget respectively?
- Who currently owns operational responsibility for archives vs who owns clinical application decisions (same team, separate, or split by site)?
- How do governance and approval timelines typically unfold—weeks, months, quarters—and what common blockers slow decisions?
- Who else should we include early in discovery to avoid late surprises (names/titles or roles)?
Where the Data Lives — and How Fragile It Is
- How confident are you that you could export and fully restore any imaging study without service-impact today?
- What types of archives/storage are in use (select all that apply)?
- What's your approximate imaging storage footprint and retention policy (TB and years)?
- Do you have studies in proprietary or legacy formats (non-standard DICOM, private tags, burned-in images) that complicate migration?
- Have you experienced data integrity issues, silent corruption, or lost studies in the past 3 years? If yes, describe frequency and impact.
Integration Reality Check: Beyond the EHR Name
- Are images truly accessible inside the EHR for end users, or does access still route them to separate viewers and extra clicks?
- Which integration standards and paths are live today between imaging systems and clinical systems?
- How mature is patient matching across systems (single MPI, probabilistic matching, manual reconciliation)?
- Do clinicians reliably receive prior studies and structured reports in their workflow? Where do gaps show up most often?
- What integrations (EHR, ADT, RIS, AI gateways) are strategic priorities to fix or deepen in the next 12 months?
Migration and Failure Modes — What Keeps You Up at Night?
- If you had to start a full archive migration tomorrow, what single technical or organizational failure would derail it?
- Which migration risks do you consider highest priority to mitigate?
- Have you performed migrations before? Describe one success and one painful lesson (who led it, timeline, outcome).
- What maximum service outage or degraded-function window is clinically acceptable for imaging services during migration?
- Do you have an internal rollback/fallback plan and named owners for migration activities? If so, who are they?
Security & Risk: Where Small Gaps Become Big Problems
- If a malicious actor targeted imaging systems tonight, how quickly could your team detect and limit exposure?
- Which of the following security controls are implemented for imaging systems?
- Do third-party vendors, reading services, or cloud partners have direct access to PHI in imaging systems, and how is that access governed?
- When was the last tabletop or live exercise for imaging-specific incident response (ransomware, data breach)? What did it reveal?
- Are there unresolved compliance or audit findings related to imaging (HIPAA, NIST, local policy)? If yes, summarize.
Workflows & Clinical Experience: Where Tech Meets Care
- Do your radiologists feel the current reading workflow increases productivity—or are they constantly working around system limits?
- Which advanced tools are in active use in reading workflows today (select all that apply)?
- How much time do referring clinicians spend accessing images (embedded in EHR vs separate viewer)? Any known complaints about availability or user experience?
- What are the top three clinician or radiologist complaints today (be specific with examples and frequency)?
- How do you currently measure radiologist productivity and report TAT, and are those metrics shared with clinical leadership?
Cost, Contracts, and Hidden Complexity
- How often do renewal conversations reveal unexpected charges or constraints tied to imaging contracts?
- Which imaging cost categories are material today (select all that apply)?
- What are the typical contract end dates or renewal windows we should be aware of (vendor + timeframe)?
- Are there contractual barriers to moving data (eg, egress fees, proprietary formats, multi-year clauses)? If yes, please specify.
- Who in finance/procurement will need scope details to cost a consolidation effort, and what financial metrics matter most to them?
If Nothing Changes: The Likely Short-Term Outcome
- If you keep the current architecture and processes for the next 12 months, what is the single most likely negative outcome you expect?
- Which consequences worry you most if consolidation or remediation is delayed (select up to three)?
- How soon would you want a technical discovery workshop or deep inventory session to address these risks?
- What artifacts would be most useful for our next session (examples: PACS/VNA inventory, DICOM sample sets, storage metrics, contract summaries)? Please list what you can provide.
- Who are the named owners we should invite to a technical deep-dive (role, name, and best contact)?
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Outcome Discovery
Define measurable success signals (consolidation targets, TAT, cost reduction, AI adoption) and non‑negotiable requirements.
Discovery Questions
What Would Success Actually Feel Like?
- In one sentence, what outcome would make this imaging modernization effort feel like a clear success to you?
- Which outcome areas are most important to you right now (pick all that apply)?
- Which of those items already have a numerical target in your plans? Please list the metric and the target value.
- Who within your organization will be held accountable for these success signals? (select all who will be measured or held to outcomes)
- What timeline do you consider realistic for reaching your initial success signals (e.g., consolidation milestone, TAT improvement)?
If the Numbers Don’t Move, Who Pulls the Plug?
- Which single KPI, if left unimproved after launch, would most likely jeopardize the program?
- How do you currently measure that KPI—automated dashboards, manual audits, periodic reports, or not measured?
- Give a concrete example of a report or dashboard you rely on today for operational decisions (name, frequency, who reads it).
- If leadership sees the KPI trending the wrong way, what are the realistic consequences they might trigger?
- How confident are you in the accuracy of your current baseline measurement for that KPI?
Where Are We Losing Time, Money, or Trust?
- Which operational failures today cost you the most—time, money, clinician trust, or all three?
- For the top one or two items you selected, how often do these issues occur and what is the immediate impact on patients or clinicians?
- Which of these problems have you tried to fix before—and why did those efforts not deliver the result you needed?
- Which issues are addressable by configuration or training versus those requiring vendor or architectural changes?
- When these failures happen, how does it make you feel about the possibility of a new platform—energized, skeptical, or cautious? Tell us why.
What Would You Put on the 'Non‑Negotiable' List?
- If you had to write a short list of absolute deal-breakers for any vendor, what would be on it?
- Which of the following are absolute non-negotiables for you? (select all that apply)
- Which non-negotiables must be codified contractually versus operationally enforced?
- If a vendor proposes a reasonable technical workaround that touches a non-negotiable, how willing are you to consider exceptions under strict guardrails?
- Are there regulatory or board-level requirements that would automatically rule out certain approaches? Please describe.
How Bold Are You Willing To Be With AI?
- If we proposed a first-year AI program, would you want pilots only, selective clinical deployment, or enterprise-level rollouts immediately?
- Which AI use-cases would move the needle most for you in the near term? (select up to 4)
- What validation, governance, and clinical oversight would you require before moving any AI into live reads?
- How would you measure AI success numerically (sensitivity, reduction in TAT, % of cases auto-triaged, radiologist adoption %)? Please list top 2 metrics and thresholds.
- Who must authorize AI use in clinical workflow (roles required for sign-off)?
If We Said 'We Can Migrate Everything,' What Would You Still Worry About?
- Which datasets or systems do you consider highest risk for migration (pick all that worry you)?
- What maximum acceptable data loss or rework threshold would you tolerate during migration (if any)?
- How do you currently validate image integrity after migrations or upgrades? Describe tools, processes, and owners.
- Who are the named owners required to sign off on migration completion at each facility type (ambulatory, community hospital, main campus)?
- What maintenance windows or downtime limits are acceptable per facility during migration/activity?
Who Will Hold the Flag When Things Get Messy?
- Who are the ultimate decision-makers for go/no-go milestones and contract sign-off on your side?
- Which model of acceptance do you prefer for deployment milestones?
- Which commercial or contractual terms would immediately disqualify a vendor (select all that apply)?
- What timeline milestones are truly immovable for you (e.g., fiscal year close, regulatory deadlines, executive reviews)? Please list dates or triggers.
- How would you like to structure governance after go‑live to keep performance on track (committee, monthly reports, executive reviews)?
Let’s Put Numbers On It — Targets, Baselines, and Timeframes
- If a vendor promised a 10–30% uplift in radiologist throughput within 12 months, would that be sufficient to change your evaluation of a platform?
- Which of these metrics would you like to establish baselines and targets for in our agreement? (select all you want numeric targets for)
- For each selected metric above, please provide the current baseline and a target with timeframe (format: Metric — Baseline — Target — Target Date).
- Who on your team will own the ongoing measurement and reporting of these targets?
- If we agree on targets, what should the escalation path look like if milestones are missed (e.g., 30/60/90 day reviews, remediation plans)?
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Solution Experience
Translate the customer’s context into a shared vision by walking through workflows for consolidation, EHR access, AI integration, and radiologist productivity.
Experience Meetings
- Current State & Consequence Alignment
- Future State Vision Workshop
- Consolidation & Migration Workflow Walkthrough
- EHR Access & Clinician Workflow Experience
- AI Integration & Radiologist Productivity Session
- Schedule a technical session with the EHR vendor and customer's integration owner.
- Validate a concrete migration wave plan that directly reduces the customer's migration risk.
- Agree on acceptance criteria and checkpoints that prove the future state for that wave.
- Assign named owners for the wave and confirm resource commitments.
- Produce the detailed migration wave playbook (steps, owners, timelines, rollback plan).
- List and schedule the acceptance tests for the wave.
- Confirm and record named owners and their responsibilities for execution.
- Confirm Clinician Use‑Case & Pain Points
- Confirm an agreed EHR access workflow that eliminates the current clinician pain points.
- Agree measurable performance and security acceptance criteria for EHR integration.
- Identify any EHR vendor sessions or API prerequisites needed to implement the workflow.
- Draft the EHR integration specification including APIs, SSO, and acceptance tests.
- Introductions & Meeting Objective
- Create the performance SLA checklist to validate during pilot and cutover.
- Map Radiologist Workflow & Pain Points
- Agree on an AI integration architecture that directly maps to radiologist pain points.
- Define a measurable pilot with KPIs that, if met, prove the productivity improvements.
- Assign governance owners for model QA, clinical validation, and monitoring.
- Produce the AI integration diagram and technical requirements tied to the selected algorithms.
- Create a pilot plan with cohort, timelines, KPIs, and data collection needs.
- Document governance roles and monitoring requirements for model lifecycle management.
- Produce and have customer sign off on a one‑sentence current state.
- Create a quantified consequence summary (cost/time/risk) that drives urgency.
- Confirm named stakeholders, decision roles, and timelines tied to the consequences.
- Document and circulate the agreed one‑sentence current state.
- Prepare a consequence metrics summary (cost, TAT delays, security gaps) for the Solution Experience.
- Produce stakeholder RACI and approval timeline to inform next sessions.
- Recap Current State & Consequences
- Agree on a one‑sentence future‑state that represents operational improvement.
- Prioritize 3–5 measurable success signals with baseline and target values.
- Document non‑negotiable requirements that will constrain solution design.
- Finalize and publish the one‑sentence future‑state and prioritized KPIs.
- Capture non‑negotiables into the solution requirements tracker.
- Prepare targeted scenarios for the Solution Experience that prove the future state against the top KPIs.
- Scenario Setup: Selected Facility/Wave
- EHR Access Flow Walkthrough
- Step‑by‑Step Migration Flow
- Draft Future‑State Statement
- One‑Sentence Current State Draft
- AI Integration Architecture Tailored to Customer
- Performance & SLA Targets
- Data Review: Systems, Volumes, Failure Modes
- Data Integrity, Rollback & Risk Controls
- Define Measurable Success Signals
- Productivity Proof Points
- Security, Audit, and Access Controls
- Governance, QA, and Model Lifecycle
- Capture Non‑Negotiables & Constraints
- Operational Impact & Cutover Timeline
- Quantify Consequences
- Validation & Acceptance Criteria
- Validate Future‑State Against Consequences
- Validation: Live or Recorded Case
- Pilot Scope & Acceptance Criteria
- Stakeholder & Decision Role Confirmation
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Solution Scope
Define modules (archive, advanced Viz, reporting, AI), migration waves, integrations, training, responsibilities, and acceptance criteria.
Scope Configuration
- Deploy Vendor-Neutral Archive (VNA) and Unified Storage
- Bulk Migrate Studies from Legacy PACS to VNA
- Configure EHR Image Viewer and Single-Sign-On
- Deploy Advanced 3D Visualization Workstations
- Activate Structured and Voice-Enabled Reporting
- Integrate AI Algorithms into Reading Workflows
- Implement Radiologist Productivity Analytics
- Enable Dose Tracking and Regulatory Reporting
- Enable Image Streaming and Edge Rendering
- Configure Multi-site Image Consolidation and Routing
- Deploy Role-Based Access Controls and Audit Logging
- Implement DICOM Encryption and Secure Access
Scope Questions
Deploy Vendor-Neutral Archive (VNA) and Unified Storage
- Do you currently have a central archive or multiple vendor-specific archives?
- What is the current imaging dataset size to migrate/bring under unified storage (TB or approximate study count)?
- Which retention/replication policies must the VNA support?
- Which storage tiers are required at launch (e.g., hot, warm, cold)?
- Are there any regulatory or long-term retention mandates for imaging data we must accommodate?
- Who will own storage capacity planning and cost center billing for archive growth?
- Do you require vendor-neutral metadata normalization or custom mapping for study/series/patient identifiers?
Bulk Migrate Studies from Legacy PACS to VNA
- Approximately how many studies and what date range need to be migrated in bulk?
- What is your preferred migration strategy?
- Which legacy PACS vendors and versions are target sources for migration?
- What are the acceptance criteria for a migrated study (image count/series completeness, header accuracy, clinical sign-off)?
- What is your tolerance for cutover downtime or read-only windows during migration?
- Who are the named owners and approvers for migration validation and sign-off?
- Do you require reconciliation reports and automatic re-ingest for failed or incomplete studies?
Configure EHR Image Viewer and Single-Sign-On
- Which EHR(s) and versions need image viewer integration?
- How should users access images from the EHR?
- Which SSO/identity provider and protocol do you use?
- Which user groups require EHR image access (e.g., referring MDs, ED, clinicians)?
- Are there specific viewer features required in the EHR (cine, measurement, hanging protocols, comparison tools)?
- Do you require audit logging for image access initiated from the EHR?
- What SLAs or performance requirements should the EHR viewer meet (max load time, concurrent users)?
Deploy Advanced 3D Visualization Workstations
- How many advanced visualization workstations are required, and which locations will they be deployed to?
- Do you prefer fat-client (desktop) workstations, thin-client/remote rendering, or a mix?
- Which clinical specialties or modalities need advanced 3D tools (e.g., cardiac, neuro, vascular)?
- Are there vendor-specific integrations or modules required (third-party post-processing tools)?
- What licensing model do you prefer for advanced visualization (per-seat, concurrent, site-wide)?
- Do workstations need to access the VNA directly or via PACS/VPN, and are there firewall/network constraints?
- What training and competency verification are required for radiologists and techs on the 3D tools?
Activate Structured and Voice-Enabled Reporting
- Which specialties and report templates must be enabled at go-live?
- Do you already use a speech recognition vendor or require integration with a new SR solution?
- Should reporting be structured (discrete fields) for analytics and downstream systems?
- Do you require integration with RIS/HIS for report routing, billing codes, and signatures?
- What turnaround time (TAT) targets do you expect and should those be monitored?
- Do you need templates, macros, or decision-support structured fields created or migrated?
- Who will own report content governance and sign-off for templates and voice macros?
Integrate AI Algorithms into Reading Workflows
- Which AI algorithms or vendors do you plan to integrate at launch?
- Do you prefer on-prem inference, cloud inference, or a hybrid deployment for AI?
- How should AI outputs be presented to radiologists (inline flagging, separate worklist, pre-populated measurements)?
- Are there data governance or PHI consent rules for sending studies to AI vendors?
- What acceptance criteria and validation cohort size are required before AI results are used clinically?
- Who will own algorithm lifecycle management (updates, performance monitoring, drift detection)?
- Do you require integration with decision support or alerts into the radiology workflow or EHR?
Implement Radiologist Productivity Analytics
- Which KPIs do you want tracked for radiologist productivity?
- Which user groups should have access to dashboards (radiologists, managers, executives)?
- What data sources will feed analytics (VNA, PACS, RIS, voice recognition logs)?
- What reporting cadence and alerting thresholds are required (real-time, daily, weekly)?
- Do you require benchmarking against peer or historical performance and how should anonymization be handled?
- Are there privacy or union considerations for per-user productivity reporting?
- Who will approve access levels and KPI definitions for performance dashboards?
Enable Dose Tracking and Regulatory Reporting
- Which modalities and scanners must be included in dose tracking at go-live?
- Do your scanners generate DICOM Dose SR or do they require gateway translation?
- Which registries or external reporting endpoints must be supported (e.g., ACR Dose Index Registry)?
- What alerting thresholds or escalation paths are required for dose events?
- How often should dose reports be generated and who receives them?
- Do you need historical dose backfill and normalization across scanner models?
- Who owns QA validation and sign-off for dose-tracking accuracy?
Enable Image Streaming and Edge Rendering
- Which sites or user groups need low-latency streaming (remote readers, ED, OR)?
- What are the network constraints between sites (bandwidth, latency, packet loss)?
- Do you prefer client-side rendering, server-side edge rendering, or a hybrid for streamed sessions?
- What fallback behavior is acceptable if streaming degrades (lower resolution, fail to cached image, pause)?
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Mutual Commit
Finalize commercial terms, contract modules, data ownership, timelines, and go/no‑go criteria.
Agreement Modules
- Non-Disclosure Agreement (NDA)
- Master Services Agreement (MSA)
- Statement of Work (SOW)
- Pricing & Commercial Terms
- Payment Schedule & Invoicing
- Data Processing Agreement (DPA)
- Data Ownership & Access Addendum
- Security & Compliance Annex
- Service Level Agreement (SLA)
- Implementation Timeline & Go/No‑Go Criteria
- Acceptance & Validation Checklist
- Migration & Cutover Plan
- Change Order Agreement
- Training & Enablement Agreement
- Third‑Party & OEM Integration Addendum
- Liability, Indemnity & Insurance Terms
- Escrow & Continuity Arrangements
- Renewal, Termination & Transition Terms
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Deployment
Operationalize rollout with readiness checks, enablement, and outcome validation.
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Pre-Deployment Readiness
Confirm data mapping, access, security controls, test environments, and named owners for migration and integrations.
Readiness Questions
Quick Pulse: Where We Really Are Right Now
- Which phrase best describes your team's current deployment readiness?
- Tell us briefly about the last imaging migration your team ran and one thing that surprised you about it.
- Which systems and archives currently store production imaging that must be consolidated (select all that apply)?
- What is your typical monthly inbound DICOM study volume (approx)?
- Who on your side will be the primary contact for scheduling and day‑of cutover decisions? (Name and role)
Are You Comfortable Leaving Data Mapping to Chance?
- Do you currently have a canonical data model or mapping specification that standardizes study metadata across sites?
- Which metadata fields do you consider non-negotiable to preserve exactly during migration?
- How heterogeneous are the DICOM tag implementations across your sites, and how long have you been managing that variability?
- Describe a specific edge case (an exam type, modality, or vendor behavior) that you worry could break during mapping.
- Would you be open to a lightweight sample mapping run (small data set) to validate assumptions before full waves?
Who Really Has the Keys — Access, Accounts, and Security Controls
- If we gave a list of required service accounts and admin privileges today, would you be confident we could provision them within the proposed timeline?
- Which authentication and access models are in use for imaging tools at your sites?
- How do you feel about the current level of visibility into privileged access (admins, service accounts) for imaging systems?
- Which encryption and network controls must be maintained or implemented for migration traffic?
- Who is the security or compliance owner we should loop into migration planning (name and role)?
If Tests Fail, How Fast Can You Recover?
- Do you have a dedicated test environment that mirrors production for imaging systems and integrations?
- When you run validation tests today, which of these do you execute routinely?
- What are your acceptable Recovery Time Objective (RTO) and Recovery Point Objective (RPO) for the migration window?
- Describe your rollback decision process and who can call a stop or rollback during cutover.
- Have you performed a dry run of a cutover (end‑to‑end) in your environment before? If yes, what failed and what we learned.
Who’s Actually Going To Own This — Naming Clear Accountability
- Which of the following roles will be accountable for migration and go‑live decisions on your side (select all that apply)?
- For each role you selected, please list the named person and their preferred contact method.
- Do you have an established RACI or governance board for deployment decisions?
- How do you prefer escalations be handled during migration windows (phone call, war room, ticketing priority, other)?
- What authority does your vendor partner have to make emergency config changes if critical issues arise during cutover?
Does Integration Truly Work in Your EHR Workflow?
- How are clinicians expected to access images from the EHR after migration (select all that apply)?
- Do you require single sign‑on between EHR and imaging (SAML/OAuth) for all clinician groups?
- Which integration standards must be supported in your environment?
- Share an example where imaging in the EHR caused a clinical workflow slowdown or patient care delay — what happened and why it mattered.
- What is the maximum acceptable time from clicking a study in the EHR to images rendering for clinicians?
What Would Success Look Like on Day One?
- Which of these acceptance criteria are mandatory for you on cutover day (select all that apply)?
- How will your team measure image integrity post-migration (pixel comparison, checksums, spot-check sampling, other)?
- Who needs to sign off on day‑one acceptance and what is the minimum set of signatories?
- If one acceptance criterion fails, what is your preferred remediation path (pause cutover, continue with exceptions, rollback, hybrid approach)?
- What monitoring or alerting must be in place immediately after cutover to feel confident the environment is stable?
Signals of Risk You Might Be Ignoring
- Which potential risks keep you up at night about migration and why?
- Do you have legacy devices or modalities that are unsupported or end‑of‑life that must be handled specially?
- Are there contractual, regulatory, or data‑residency constraints we need to consider when moving or storing images?
- How would you rank your top three migration risks from this list?
- For each risk you selected, what mitigation or contingency is already in place?
Next Steps: Commitment, Timelines, and Small Bets
- Thinking realistically, when do you want the first migration wave to occur?
- Which of these preparatory steps would you prioritize in the next 30 days?
- What would make you say 'we’re ready' in writing — a single-sentence criteria that commits your team?
- Who else on your executive or clinical team should we brief before we schedule a dry run?
- Would you like us to prepare a one‑page readiness checklist and a proposed timeline based on your answers?
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Deployment Enablement
Schedule cutovers, migration waves, integration tasks, training, and operational handoffs with clear owners and timelines.
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Validation Checklist
Execute acceptance tests for image integrity, EHR access, AI calls, reporting workflows, and security, then capture sign‑offs.
Validation Questions
Setting the Table: Quick Context
- Which role are you answering these questions as?
- How many facilities and distinct imaging sites does your organization operate today?
- What is your approximate monthly imaging study volume across all sites?
- Which imaging modalities and clinical applications are core to your operations right now?
- Who is the primary budget owner for imaging infrastructure in your organization?
- If you had to name one immediate priority for imaging this year, what is it?
If This Were a Fire Alarm, Where Would It Ring First?
- What single failure or outcome would cause you to escalate this program to executive leadership right now?
- Tell us about a recent incident that felt like a near miss or real failure—what happened and who felt the consequences most?
- How often do such incidents or near misses occur today?
- When those problems occur, what are the typical downstream effects on patient care, report turnaround, or revenue?
- Which stakeholders do you find are most vocal or most impacted when things break (pick all that apply)?
Are You Tolerating Complexity or Managing It?
- If you had to describe your current imaging estate in one sentence, what would it be?
- How many distinct PACS/archives/vendors are actively storing and serving studies today?
- Which of the following best represents your integration landscape?
- What are the top three technical failure modes you worry about (e.g., migration loss, vendor lock-in, HL7/DICOM mismatch, performance)?
- How long have you been operating with the current level of complexity?
- Who on your team currently owns day‑to‑day archive hygiene, integrations, and vendor escalations?
What Would Winning Actually Feel Like for Your Team?
- If you woke up a year from now and this program had been a clear success, what would be different in the daily life of a radiologist?
- Which measurable outcomes matter most to you for a successful program (choose up to 4)?
- For the KPIs you selected, what are your current baselines (if known) and realistic target improvements?
- Which of these would be non‑negotiable for you to consider moving forward?
- How would success be perceived differently by clinical leadership versus IT/finance in your organization?
What Would Block You From Saying Yes?
- What are the deal‑killers you cannot tolerate in a vendor or solution?
- Have you had prior vendor engagements that failed to deliver—what were the root causes and lessons learned?
- Which contractual or procurement constraints might slow or block a decision here?
- How do you weigh technical capability versus commercial terms when choosing a partner?
- What are your expectations around data ownership, portability, and exit terms?
Imagine the Integration: Who, What, When?
- If this program starts tomorrow, who on your side would be the named owner of migration, integrations, and clinical adoption?
- What does your ideal timeline look like from vendor selection to first cutover (choose the nearest range)?
- Which of these deployment models aligns best with how you want to run the project?
- What internal resources can you commit to the project (select all that apply)?
- What would need to change in your organization to hit the timeline you just selected?
Where Does Patient Safety and Security Keep You Up at Night?
- If a single security or compliance gap were exposed tomorrow, which one would cause the most concern?
- Which of the following controls do you currently enforce across your imaging estate?
- Have you had any regulatory findings or security incidents related to imaging systems in the past 3 years?
- How do you expect a vendor to demonstrate compliance and prove safe handling of AI calls and third‑party integrations?
- Who on your security/compliance team must sign off before any migrations or integrations proceed?
How Much Risk Are You Willing To Accept On Cutover Day?
- What is the maximum acceptable downtime window for clinical users during any cutover?
- What level of data re‑synchronization or replay would be acceptable if an issue occurs during migration?
- Which rollback or contingency expectations do you have if a wave experiences unexpected issues?
- What kinds of tests and gates must pass before you authorize a go/no‑go (select all that apply)?
- Who must be present and who must sign off for a final go/no‑go decision?
Proof in the Pudding: How Will You Validate Success?
- Which acceptance tests will be required to consider the migration and integration complete?
- How will you sample studies for validation (e.g., percent, modality focus, random, targeted edge cases)?
- What specific pass/fail criteria do you expect for image integrity and metadata fidelity?
- Who signs the final acceptance and who owns the post‑go live backlog of issues?
- After go‑live, which KPIs do you want monitored and for how long before we call the program stable?
Next Steps: What Would Make Us Earn Your Trust?
- What would a credible pilot look like to you (scope, duration, success criteria)?
- Which stakeholders should we invite to the next conversation to make progress?
- What are your preferred decision checkpoints and when is your next procurement window?
- What evidence or deliverables would help you feel comfortable progressing to a commercial discussion?
- Is there anything else we should know that would change how we approach a proposal for you?
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Success
Review KPIs against success signals, document lessons learned, and maintain a shared backlog for issues and enhancements.
Success Reviews
- Executive KPI Review
- Operational Performance Review
- Lessons Learned Retrospective
- Backlog Prioritization & Enhancement Planning
- Governance & Continuous Improvement Cadence
Issues & Enhancements
- Create prioritized backlog entries with acceptance criteria, estimates, and assigned owners in the shared tool.
- Identify root causes for operational KPI gaps and agree on a prioritized remediation plan with clear owners and timelines.
- Agree on verification criteria and evidence required to mark each remediation as complete.
- Establish a short-term cadence for progress updates until KPIs return to target.
- Create remediation tickets in the shared backlog for each agreed action with owner, priority, and acceptance criteria.
- Prepare a verification checklist and data extracts required to validate each remediation action.
- Schedule weekly ops syncs until the top 3 KPI issues are closed.
- Retrospective Framing & Rules
- Capture a prioritized set of lessons learned that lead to concrete updates in runbooks, training, and deployment playbooks.
- Assign owners and deadlines to each playbook/training update to institutionalize improvements.
- Agree on a communication plan to distribute lessons to impacted stakeholders and teams.
- Publish the lessons learned document in the shared project wiki and notify stakeholders.
- Update the deployment and cutover playbooks with the prioritized changes and assign owners.
- Schedule a training session to socialize new runbook steps with operational staff.
- Backlog Health Snapshot
- Produce a prioritized, time-boxed backlog for the next 90 days aligned to success signals and resource availability.
- Assign owners and rough estimates for prioritized items to enable sprint planning and vendor engagement.
- Agree on stakeholder communication for upcoming changes and expected impacts.
- Opening & Objectives
- Coordinate with vendor/product teams to confirm estimates and resource commitments for high-priority items.
- Publish the 90-day roadmap and stakeholder communication plan.
- Governance Charter & Roles
- Ratify a governance model that ensures sustained KPI monitoring, timely remediation, and clear ownership.
- Agree on reporting templates and cadence that provide transparent, action-oriented insights to stakeholders.
- Implement escalation and backlog workflows to ensure issues are resolved within agreed SLAs.
- Publish the governance charter, meeting cadence, and attendee roster to the shared collaboration space.
- Enable access to KPI dashboards for all governance members and set up scheduled reports.
- Create escalation templates and integrate SLA tracking into the shared backlog tool.
- Validate whether project KPIs meet executive-level success signals and obtain explicit guidance on any required escalations.
- Approve or reallocate budget/timeline adjustments tied to KPI remediation where necessary.
- Confirm ownership and decision cadence for unresolved high-impact items.
- Assign executive sponsor to approved remediation items and confirm funding source and amount.
- Publish a one-page executive decision memo capturing approvals and unresolved escalations.
- Schedule the next executive KPI checkpoint (date and required pre-reads).
- Pre-work Review & Data Pack Confirmation
- One-sentence Current State
- One-sentence Current State (Operational)
- KPI Cadence & Reporting Templates
- Triage Criteria & Scoring
- Timeline Walkthrough
- Prioritize Top Items (Top 10)
- Metric Deep-dive: Productivity & TAT
- SLA Definitions & Escalation Paths
- KPI Summary vs Success Signals
- What Went Well (Keep)
- What Didn't Work (Stop) & Root Causes
- Define Releases & Waves
- Backlog & Change Management Workflow
- Metric Deep-dive: Data Integrity & Migration
- Financial & Risk Consequences
- Metric Deep-dive: EHR & AI Integrations
- Opportunities (Start/Improve)
- Decision Items & Escalations
- Communications & Stakeholder Notifications
- Meeting Cadence & Roster
- Agree Next Steps & Owners
- Prioritize Lessons & Assign Owners
- Root Cause Analysis for Top Issues
- Close & Next Steps
- Remediation Plan & Quick Wins