Health, Education & Government Healthcare Providers Electronic Health Records & Clinical Systems

Medical Imaging & Radiology Systems (PACS/RIS)

Clinical, operational, and financial complexity where patient outcomes, revenue, and compliance all intersect.

Sectra Agfa HealthCare Change Healthcare GE Healthcare
Inside this journey
  1. Radiology Stakeholder Discovery

    Align on desired outcomes, decision roles, current PACS constraints (volume, downtime, archive complexity), and success signals.

    Discovery Questions

    Getting Oriented — a quick snapshot

    • Who are you in the radiology ecosystem today (title and primary responsibility)? Options: Radiology Department Chair, Imaging Informatics Director, Imaging IT Manager/Director, CIO/VP of IT, PACS Administrator, RIS Administrator, Other (please specify)
    • What best describes your organization? Options: Academic medical center, Community hospital system, Independent imaging center, Multi-hospital health system, Outpatient clinic network, Teleradiology provider, Other
    • How many imaging studies do you handle per month (approximate total across sites)? Options: <10k, 10k–50k, 50k–150k, 150k–500k, >500k
    • Quick win: describe in two sentences the single biggest pain point you’d most like resolved about your imaging infrastructure.
    • Who else on your team should be part of this conversation (names and roles), and what will they care about most?

    Are you trading time for risk? — when downtime or slow reads cost more than frustration

    • How often does poor PACS/viewer performance or unplanned downtime materially disrupt clinical care or reporting workflows? Options: Multiple times per week, Weekly, Monthly, Quarterly, Rarely/Never
    • Can you give a recent example of an outage or severe performance event: what happened, how long it lasted, and the practical consequences?
    • When performance problems occur, who feels the pressure most and what are the downstream clinical or operational impacts you worry about? Options: Radiologists delay reads, ED throughput suffers, Referrer dissatisfaction, Billing/reporting delays, Regulatory/compliance risk, Other
    • How do these incidents make your team feel—frustrated, burned out, resigned, or mobilized to change? Please describe.
    • What temporary workarounds do you rely on during outages (e.g., local caches, paper processes, secondary viewers, teleradiology agreements)? Options: Local workstation caches, Secondary cloud viewer, Manual paper-based processes, Delayed reporting, Teleradiology support, Other

    Where is the current PACS actually holding you back?

    • If your PACS could only improve one area immediately, which would create the biggest operational relief: viewer speed, subspecialty routing, archive access, or integration with EHR/ordering? Options: Viewer speed/performance, Subspecialty routing/worklist, Archive retrieval and tiering, EHR and reporting integration, Security/compliance, Other
    • How would you quantify the problem today—average viewer load times, percent of studies needing reloading, backlog hours, or days until archived studies are retrievable?
    • Which imaging modalities and vendors create the most headaches within your environment (e.g., ultrasound, MRI, legacy CT exports, modality-specific DICOM oddities)? Options: CT, MRI, X‑ray/DR, Ultrasound, Nuclear medicine/PET, Mammography, Mixed vendor legacy gear, Other
    • Where do you see friction between radiology and other departments (ED, OR, cardiology, referring clinics) tied to your current imaging systems?
    • Which of these do you worry about most as volumes grow: storage costs, archive complexity, vendor lock‑in, or migration risk? Options: Storage costs, Archive complexity, Vendor lock‑in, Migration risk, All of the above, Other

    Who really decides—and who gets held accountable?

    • Thinking beyond procurement, who are the formal and informal decision makers for imaging platform selection, and what does each care about most?
    • How does success get measured for the team that will own the new system—what KPIs or outcomes will you be judged on? Options: Viewer latency/response time, System uptime, Time-to-report, Cost per study, Referrer satisfaction, Regulatory compliance, Other
    • What is your typical decision timeline for enterprise imaging technology—months, quarters, board cycles? Are there hard deadlines driving this project? Options: Immediate (0–3 months), Short (3–6 months), Medium (6–12 months), Long (>12 months)
    • Who controls the budget for a platform replacement or major migration and what procurement hurdles have tripped you up in the past?
    • What political or change management risks keep you up at night when contemplating replacing or migrating PACS/RIS/Archive?

    What would ‘safe, fast, and seamless’ actually feel like here?

    • If a new imaging platform delivered on everything you hoped for, what three outcomes would tell you it was worth the effort?
    • Which measurable targets matter most: viewer load under X seconds, 99.9% uptime, migration completion in Y months, or X% cost reduction in storage? Options: Viewer load times, Uptime/SLA, Migration timeline, Storage cost reduction, Reading throughput, Referrer satisfaction
    • Who needs to be celebrating internally after go‑live for this to be a clear success—radiologists, IT, finance, clinical leadership, or others? Options: Radiologists, Imaging IT/Informaticists, CIO/IT Ops, Finance, Referring clinicians, Hospital leadership, Other
    • How would patient experience or clinical outcomes change in a best‑case scenario? Give concrete examples if possible.
    • Which of these would make you comfortable signing a mutual commit: a time‑boxed pilot with objective gates, contractual SLAs, phased migration, or financial protections? Options: Pilot with gates, Contractual SLAs, Phased migration plan, Financial/penalty clauses, Dedicated migration team, Other

    Migration nightmares vs. a realistic plan — how messy is your archive?

    • How large and complex is your archive today (approximate number of studies, volume in TB, number of vendor archives/silos)? Options: <100k studies / <10TB, 100k–1M / 10–100TB, 1M–5M / 100–500TB, 5M–20M / 500–2000TB, >20M / >2PB
    • Do you have multiple legacy PACS/archives that must interoperate or be consolidated? If yes, how many distinct archive groups or vendor silos? Options: Single archive, 2–3 silos, 4–6 silos, 7+ silos, Unsure
    • Which constraints make migration tricky for you: retention policies, proprietary formats, bandwidth limits, vendor contracts, or clinical scheduling? Options: Retention requirements, Proprietary vendor formats, Limited network bandwidth, Active vendor contract terms, Need for zero-downtime, Clinical scheduling constraints
    • Have you attempted any migrations before? Tell us what went well, what failed, and how long the biggest data carryover took.
    • Which migration approach do you prefer or are most open to: bulk cold transfer, staged/rolling cutover, live proxying, or hybrid? Options: Bulk cold transfer, Staged/rolling cutover, Live proxy/redirect, Hybrid approach, Undecided / want recommendation

    Integration and workflow — will clinicians actually love it?

    • Which EHR(s) and primary reporting systems must integrate tightly with the imaging platform (please list versions if known)? Options: Epic, Cerner/Oracle, Meditech, Allscripts, Custom/EHR integration, Other
    • How critical is single sign‑on, context linking from the EHR, and teo‑click image launch for your referring clinicians? Options: Mission critical, Important, Nice to have, Not necessary
    • Describe your reading workflows today—are radiologists organized by generalists, subspecialty, distributed teleradiology, or mixed? How should routing change? Options: Generalist pool, Subspecialty queues, Distributed teleradiology, Mixed model, Other
    • What integrations beyond the EHR matter: RIS scheduling, voice recognition/reporting, analytics, third‑party viewers, or vendor‑neutral archive (VNA)? Options: RIS, Voice recognition/reporting, Analytics/BI, Third‑party viewing portals, VNA, Other
    • What training, adoption, or governance support will your clinicians need for a smooth transition (super‑user program, on‑site trainers, phased onboarding)? Options: Super‑users/champions, On‑site training, Remote/web training, Phased onboarding, SOP/process redesign, Other

    Risk, SLAs, and what helps you sleep at night

    • If we asked you for a realistic SLA that would make leadership comfortable, what targets would you state for uptime, viewer responsiveness, and recovery time (RTO/RPO)?
    • How important are financial or contractual remedies for missed commitments (credits, termination rights, remediation plans)? Options: Very important, Somewhat important, Nice to have, Not important
    • What internal escalation and governance structure will you use during the project and after go‑live?
    • Which security/compliance standards must be demonstrated: HIPAA, HITRUST, ISO, local data residency requirements, or others? Options: HIPAA, HITRUST, ISO 27001, Local/regional data residency, Other
    • What ongoing operational model do you prefer for support: fully managed, co‑managed, vendor support with internal ops, or third‑party MSP? Options: Fully managed by vendor, Co‑managed, Vendor support with internal ops, Third‑party MSP, Other

    Pilot, phased rollout, or full switch — how would you like to proceed?

    • If you could choose, would you validate with a time‑boxed pilot, a phased departmental rollout, or a single cutover across sites? Options: Time‑boxed pilot, Phased departmental rollout, Single cutover, Hybrid approach, Unsure / need recommendation
    • What would be meaningful, objective gates for a pilot to prove you can scale (e.g., X studies/day, <Y sec viewer load, zero data loss during cutover)?
    • Who must sign off on pilot success and final go/no‑go decisions (roles, not names)?
    • Realistically, what is your preferred project start window and any immovable dates (e.g., contract expiry, fiscal planning, construction/IT refresh)? Options: Immediate (0–3 months), 3–6 months, 6–12 months, After 12 months, Tied to specific contract/expiry
    • What would success look like at 30, 90, and 180 days after go‑live—list one concrete metric or sign for each timeframe.

    Final reflection — what else haven’t we asked that matters?

    • What hidden constraints, political dynamics, or legacy vendor clauses should we be aware of before proposing a scope and migration plan?
    • If you could pick one thing for a vendor to absolutely do during the first 90 days to prove they’re trustworthy, what would it be?
    • Which stakeholders would you like us to engage next (please provide role and preferred method—email, meeting, or workshop)? Options: Email introduction, Short discovery meeting, On-site workshop, Technical deep-dive session, Other
    • Are there any documents, architecture diagrams, contract excerpts, or logs you can share that would speed up our assessment? If so, please list.
    • Finally—on a scale of 1–10, how ready does your organization feel to pursue a platform replacement or major migration right now? Options: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
  2. Solution Experience

    Translate findings into scenario-based experiences showing how the platform achieves fast viewer performance, subspecialty routing, EHR integration, and secure migration.

    Experience Meetings

    • Solution Experience Kickoff — Current State, Consequence & Future State
    • Viewer Performance Experience — Diagnosis, Proof & Validation
    • Workflow & Subspecialty Routing Experience — Real Scenarios
    • EHR Integration & Contextual Access Experience
    • Secure Migration Experience — Dry Run & Acceptance Gates
    • Agree on interface list, test endpoints, and an integration test schedule.
    • Seller: If targets missed, schedule remediation test and list configuration changes to be applied.
    • One‑sentence routing problem recap
    • Validate that routing rules produce the expected assignment and escalation behavior in real clinical scenarios.
    • Confirm throughput and failover behavior meets the operational needs for peak volume and staff absences.
    • Agree the rule-set and pilot configuration for a runway test in production or a sandbox.
    • Customer: Share canonical routing rules, on-call schedules, and escalation definitions for pilot configuration.
    • Seller: Build the routing rule-set in a sandbox and provide a walkthrough document showing expected assignments and audit trails.
    • Both: Schedule a short pilot window to run live routing with defined success metrics and owner for each metric.
    • Confirm EHR use-cases to validate
    • Show that clinicians can access the correct studies/reports from the EHR with preserved context and acceptable latency.
    • Validate report/order flows and identify any data mapping gaps that must be resolved.
    • Introductions & Meeting Objectives
    • Customer: Provide EHR test endpoints, sample ADT/ORM/ORU messages, and expected field mappings.
    • Seller: Deliver an integration checklist and a timeline for connectivity tests including necessary test accounts.
    • Both: Schedule a dedicated EHR integration test window and assign an integration owner from each side.
    • Recap Archive Constraints & Migration Goals
    • Prove the migration method preserves study integrity and metadata for the sample set.
    • Agree on explicit acceptance gates, rollback conditions, and owner responsibilities for the production migration.
    • Define the pilot migration scope and schedule to validate at scale.
    • Customer: Provide archive inventory and confirm sample set selected for dry-run.
    • Seller: Run full verification report (checksums, UID mapping, access tests) and deliver findings within 48 hours.
    • Both: Sign the migration pilot statement of scope, acceptance criteria, and designate migration owners.
    • Achieve signed agreement on a single-sentence current-state describing the pain to be solved.
    • Quantify the business/clinical consequence so scenarios target urgency, not curiosity.
    • Define a measurable future-state outcome for each scenario that will be proven and validated.
    • Agree the scenario list, required customer artifacts, and schedule for the experience sessions.
    • Customer: Provide one-sentence current-state, top 3 consequence metrics, anonymized sample cases, worklists, and network baseline within 3 business days.
    • Seller: Prepare scenario plan and test checklist mapped to each agreed acceptance metric.
    • Both: Confirm secure data exchange method and sign any required NDAs for sample transfer.
    • Recap Agreed Current/Future State & Metrics
    • Produce measured viewer performance data using the customer's sample cases under agreed network conditions.
    • Customer explicitly validates that the measured performance will materially reduce the stated consequence.
    • Identify any configuration or environment changes required to meet acceptance targets.
    • Seller: Deliver a performance test report with timestamps, configurations used, and recommendations within 48 hours.
    • Customer: Confirm if reported performance meets internal SLA targets or provide revised acceptance thresholds.
    • One‑Sentence Current State (Diagnosis)
    • Migration Approach & Risk Controls
    • Live Scenario — Context Launch from EHR
    • Scenario 1 — Urgent Stroke CT Routing
    • Environment Setup & Baseline Capture
    • Scenario 2 — Subspecialty Read & Peer‑Review
    • Live Scenario — Report & Order Flow
    • Live Dry Run — Migrate Sample Studies
    • Baseline vs Platform Tests (Live)
    • Quantify Consequences
    • Rollback, Verification & Acceptance Gates
    • Define One‑Sentence Future State (Outcome)
    • Throughput & Failover Test
    • Show Proof Mechanisms — Streaming, Prefetch & Caching
    • Security, Audit & Identity Mapping
    • Select & Prioritize Scenarios to Validate
    • Tie Results to Consequence
    • Map Back to Consequence & Validate
    • Agree Migration SLA, Owners & Pilot Scope
    • Validation & Interface Scope Agreement
    • Force Validation
    • Pre‑work & Data Exchange Checklist
  3. Solution Scope

    Define modules (PACS, RIS, VNA), migration scope and approach, integrations, SLAs, responsibilities, and measurable acceptance criteria.

    Scope Configuration

    • Modality DICOM Connectivity
    • DICOM Routing and Study Distribution
    • Vendor-Neutral Archive Provisioning
    • Legacy PACS Bulk Study Migration
    • Enterprise Zero-Footprint Viewer Deployment
    • Worklist Engine and Reading Pools
    • Structured Reporting and Voice Integration
    • EHR Integration (HL7/FHIR) for Results
    • High-Availability and Failover Setup
    • Lifecycle Management and Tiered Storage
    • Audit Logging and Audit Trail Enablement
    • Disaster Recovery Replication and Restore
    • Role-Based Access Control Provisioning
    • Peer Review and Quality Tracking Module

    Scope Questions

    Modality DICOM Connectivity

    • How many unique modalities and modality types (CT, MR, XR, US, NM, etc.) need DICOM connectivity? Options: 1-10, 11-25, 26-50, 51-100, 100+
    • Which modality vendors and models require configuration (list vendor/model pairs or upload list)?
    • Are modalities on the same network segment as the PACS or behind separate VLANs/firewalls? Options: Same VLAN, Separate VLANs, Across multiple sites/VPN, Cloud-based modality gateway required
    • Do you require DICOM TLS or certificate-based authentication for modalities? Options: Yes, TLS required, Optional, No
    • Will modalities send via Push (C-STORE) only or do you also need modality query/retrieve and modality worklist (MWL)? Options: Push (C-STORE) only, MWL required, Query/Retrieve required, Combination
    • Are there bandwidth constraints or expected peak studies/hour per modality that should influence connectivity planning? Please provide numbers if known.

    DICOM Routing and Study Distribution

    • Do you require per-modality or per-study routing rules (e.g., by modality type, accession, body part, or DICOM tag)? Options: Per-modality rules, Per-study/attribute rules, Both, Not sure
    • List target destinations for routed studies (e.g., local PACS, external reading centers, vendor archive, cloud endpoints).
    • Should routing include transformations (anonymization, tag normalization, SOP Class conversion)? Options: Yes - anonymization, Yes - tag normalization, Yes - SOP conversion, No transformations
    • Do you need conditional routing (e.g., route to subspecialty reader for certain body parts or accession numbers)? Options: Yes, No, Unsure - need consulting
    • Are duplicate copies to multiple endpoints required for redundancy or DR purposes? Options: Yes - duplicates required, No - single destination, Only for select modalities
    • What SLAs or performance expectations exist for distribution (e.g., <30s delivery, <2 min for large CT/MR)?

    Vendor-Neutral Archive Provisioning

    • What is the current and projected archive size (TB) and study count to be supported initially and at 3 years?
    • What retention policies are required (e.g., clinical retention 7 years, oncology 20 years, pediatrics lifetime)? Options: 1-3 years, 4-7 years, 8-15 years, Custom/varies by cohort
    • Are de-duplication, compression, or multi-instance storage requirements desired for storage optimization? Options: De-duplication, Lossless compression, Multi-instance / pointer-based storage, No optimization required
    • Do you require encryption at rest and key management (managed keys vs customer-managed keys)? Options: Encryption at rest required, Customer-managed keys (BYOK), Encryption not required
    • Do you need archive indexing/search SLA targets (e.g., retrieve study in <30s for recent studies, <2 min for deep archive)? Options: Yes - specific SLA, No specific SLA, Unsure
    • Is replication across sites or geographic regions required for compliance or resiliency? Options: Local only, Cross-site replication, Cross-region replication, Cloud replication

    Legacy PACS Bulk Study Migration

    • Approximately how many studies and total TB need to be migrated from legacy PACS? Options: <100k studies, 100k-500k, 500k-1M, 1M+
    • Do you require full-fidelity migration (images + all tags + reports) or a subset (images only, images + key tags)? Options: Full-fidelity (images + tags + reports), Images + minimal tags, Images only, Other / custom
    • What migration approach do you prefer or require: bulk offline export/import, streaming migration with cutover, or staged/rolling migration? Options: Bulk offline, Streaming with cutover, Staged rolling migration, Undecided - need recommendation
    • Will migrations be performed during a maintenance window with read-only mode or must reads continue during migration? Options: Maintenance window - read-only, Live migration - reads continue, Combination by site
    • What verification and acceptance criteria should be used to validate migrated studies (sample checks, checksum, count reconciliation)?
    • Are there contractual or regulatory requirements for data retention or chain-of-custody during migration? Options: Yes - specify, No, Unsure

    Enterprise Zero-Footprint Viewer Deployment

    • How many concurrent users (typical and peak) need access to the zero-footprint viewer? Options: <50, 50-200, 200-500, 500+
    • Which user types need diagnostic-grade access vs clinical review (radiologists, referring MDs, technologists)? Options: Radiologists - diagnostic, Referring MDs - clinical review, Technologists, Teleradiology partners
    • Is EHR-context launch or single sign-on integration required for the viewer (e.g., CCOW, SMART on FHIR, SSO)? Options: EHR context launch required, SSO required, Both, No
    • What performance acceptance criteria are required (e.g., first image <2s on WAN, full study load <8s for 50-series CT)?
    • Which browsers, devices (desktop/tablet), and network conditions must be supported? Options: Chrome, Edge, Safari, Firefox, Tablets/Mobile
    • Do you require integrations with measurement/calculation toolsets, hanging protocols, priors comparison, or advanced 3D tools? Options: Hanging protocols, Priors comparison, 3D/advanced tools, Measurement tools only, None

    Worklist Engine and Reading Pools

    • How many reading pools or subspecialty groups do you plan to create (e.g., neuro, MSK, body, emergency)? Options: 1-3, 4-6, 7-10, 10+
    • Do you require rules-based routing into reading pools (by modality, accession, ICD code, or priority)? Options: Yes - by modality/body part, Yes - by priority/acuity, No - manual routing, Combination
    • What SLA targets exist for study turnaround time or time-to-first-report by pool?
    • Do you need shift-based scheduling, vacation overrides, and automatic redistribution for unread volumes? Options: Yes - all features, Basic scheduling only, No
    • Should the worklist integrate with voice recognition/RIS statuses and support progress/state transitions (e.g., preliminary, final)? Options: Yes - full integration, Partial integration, No
    • Are there rules for prioritization (e.g., STAT, inpatient, ED) that must be encoded in the engine? Options: Yes - multiple priority levels, Only STAT vs routine, No

    Structured Reporting and Voice Integration

    • Do you currently use a speech recognition vendor (Nuance, M*Modal, etc.) or need a recommendation? Options: Nuance/DX, M*Modal, Other, None/Need recommendation
    • Do you require structured templates (CLINRAD, RSNA, custom) and discrete data capture for specific exam types? Options: RSNA/standard templates, Custom templates, Both, No templates required
    • Should reporting integration include post-processing (structured results into EHR) via HL7 ORU or FHIR DiagnosticReport? Options: HL7 ORU, FHIR DiagnosticReport, Both, No EHR push required
    • Are voice macros, auto-text, or AI-assisted draft generation needed as part of the workflow? Options: Voice macros, Auto-text, AI-assisted drafts, None
    • What acceptance criteria should be used for report transmission and finalization (e.g., <30s from sign-off to EHR visibility)?
    • Do you require audit and QA workflows for report edits, peer review flags, or discrepancy tracking? Options: Yes - QA workflows needed, No

    EHR Integration (HL7/FHIR) for Results

    • Which EHR(s) must be integrated (vendor and version)?
    • Do you prefer push (results pushed to EHR) or pull (EHR launches viewer with context) integration patterns, or both? Options: Push results to EHR, Context launch / pull, Both, Undecided
    • How should patient matching be handled (exact MRN, probabilistic matching, use of enterprise MPI)? Options: Exact MRN, MPI/probabilistic, Hybrid, Undecided
    • Are there specific FHIR resources or HL7 messages required (e.g., DiagnosticReport, ImagingStudy, ORU^R01)? Options: DiagnosticReport (FHIR), ImagingStudy (FHIR), HL7 ORU^R01, Other/Custom
    • What acceptance criteria or SLAs should be used for EHR visibility (e.g., results within 1 minute of sign-off)?

    High-Availability and Failover Setup

    • What are your RTO (recovery time objective) and RPO (recovery point objective) targets for imaging services? Options: RTO <15 minutes, RTO <1 hour, RTO <4 hours, Custom
    • Do you require active-active, active-passive, or warm-standby architecture for core imaging services? Options: Active-active, Active-passive, Warm-standby, Unsure - need recommendation
    • Which components must be HA (viewer, archive, routing, RIS interfaces)? Options: Viewer, Archive, Routing, RIS/EHR interfaces, All components
    • What maintenance windows and acceptable outage windows exist for failover testing? Options: Weekday business hours allowed, After-hours only, Weekend windows, No downtime allowed
    • Do you require automated failover testing and periodic DR exercises included in scope? Options: Yes - automated & periodic, Manual testing only, No testing required
    • Are there monitoring/alerting integrations required (SNMP, Prometheus, PagerDuty, ServiceNow)? Options: SNMP, Prometheus, PagerDuty, ServiceNow, Other

    Lifecycle Management and Tiered Storage

    • What automated lifecycle policies do you require (move-to-cold after X days, archive-only after Y years)?
    • Which storage tiers will you use or prefer (SSD/hot, HDD/warm, cloud-cold, tape)? Options: SSD/hot, HDD/warm, Cloud-cold, Tape
    • Are cost-per-GB constraints or budget limits that should guide tiering decisions? Options: Yes - strict limit, Flexible, No constraint
    • Do you need automated lifecycle actions based on access patterns (auto-move/prioritized retrieval)? Options: Yes, No, Partial
    • What retention deletion and legal hold workflows are required (e.g., legal hold cancel deletion for X studies)? Options: Legal hold support required, Standard retention only, Custom retention rules
    • Should lifecycle decisions be auditable and reportable for compliance reviews? Options: Yes, No

    Audit Logging and Audit Trail Enablement

    • What events must be logged (view/access, export, delete, modify, authentication, configuration changes)? Options: View/access, Export, Delete, Modify, Authentication, Config changes
  4. Mutual Commit

    Finalize commercial terms, SLA commitments, migration milestones, acceptance gates, and governance for go/no‑go decisions.

    Agreement Modules

    • Non-Disclosure Agreement (NDA)
    • Master Services Agreement (MSA)
    • Statement of Work (SOW)
    • Service Level Agreement (SLA)
    • Commercial Terms & Pricing Schedule
    • Migration & Cutover Plan
    • Acceptance Criteria & Go/No-Go Gates
    • Governance & Steering Committee Charter
    • Change Order & Scope Management
    • Data Protection & Security Addendum (DPA)
    • Integration & Interface Acceptance
    • Support, Warranty & Maintenance
    • Training & Knowledge Transfer Agreement
    • Escrow & Intellectual Property Protection
    • Termination, Exit & Archive Handover
  5. Deployment

    Coordinate archive migration, modality connectivity, workflow configuration, cutover sequencing, and go‑live support with clear owners and timeline.

  6. Success

    Validate acceptance criteria and performance targets, capture lessons learned, and maintain a shared channel for issues and enhancements.

    Success Reviews

    • Acceptance Criteria Validation Workshop
    • Performance & SLA Review
    • Lessons Learned & Continuous Improvement Retrospective
    • Issue Triage & Enhancement Roadmap Sync
    • Operational Handover: Support, Governance & Escalation Paths

    Issues & Enhancements

    • Align on release windows, expected impact, and communication plans.
    • Document SLA outcomes and any agreed credits or contractual modifications.
    • Project Timeline Recap
    • Produce a documented lessons learned report mapping problems to root causes and preventive actions.
    • Create a prioritized improvement backlog with owners and acceptance criteria.
    • Establish a recurring cadence for retrospective follow-ups and process improvement tracking.
    • Publish the lessons learned report and improvement backlog to the shared channel.
    • Assign owners and target dates for top 5 improvement items and add to project tracker.
    • Schedule the next retrospective/check-in meeting and invite cross-functional stakeholders.
    • Open Issues Review
    • Produce a prioritized and actionable issue/enhancement backlog visible to both customer and provider.
    • Agree explicit acceptance criteria for top-priority enhancements to avoid scope ambiguity.
    • Introductions & Objectives
    • Create prioritized roadmap entries with detailed acceptance criteria and assigned PM/owner.
    • Move agreed remediation items into the schedule with target release versions.
    • Publish release and communication plan to the shared channel and notify affected user groups.
    • Support Model Overview
    • Complete handover of operational responsibilities with clear support contacts and SLAs.
    • Establish a governance cadence and escalation matrix that both parties accept.
    • Ensure operations team has access to runbooks and knows how to promote issues into the improvement backlog.
    • Publish the finalized support contact list, escalation matrix, and governance calendar to the shared channel.
    • Grant access to runbooks and confirm knowledge-transfer completion for primary support staff.
    • Schedule the first operational governance meeting and include the improvement backlog review.
    • Demonstrably validate each acceptance criterion with mapped evidence or live test results.
    • Secure formal sign-off or documented remediation plan with owners and dates.
    • Ensure all stakeholders share a single, unambiguous status for go/no‑go decisions.
    • Publish acceptance validation report with artifacts and live test logs to the shared channel.
    • Create remediation tickets for any unmet criteria with owners, completion dates, and verification steps.
    • Schedule follow-up validation session for remediated items within agreed SLA timeframe.
    • Monitoring Dashboard Walkthrough
    • Verify whether performance targets and SLAs were met during the acceptance period.
    • Agree on corrective actions and owners for any performance shortfalls.
    • Confirm monitoring ownership, alert thresholds, and escalation paths to prevent recurrence.
    • Adjust monitoring thresholds and create/assign alerts to agreed owners.
    • Open remediation/change requests for capacity or performance fixes with target dates.
    • Recap Acceptance Criteria
    • Enhancement Requests & Prioritization
    • What Went Well
    • SLA Compliance Assessment
    • Escalation Matrix & SLA Response Steps
    • Governance Cadence & Stakeholder Meetings
    • What Didn't Go Well
    • Define Acceptance Criteria for Enhancements
    • Incident & Performance Root Causes
    • Evidence Presentation
    • Live Validation Scenarios
    • Release Cadence & Deployment Windows
    • Capacity and Scalability Validation
    • Knowledge Base, Runbooks & Access
    • Root Cause Analysis
    • Prioritized Improvement Backlog
    • Feedback Loop & Continuous Improvement Mechanism
    • Gap Review & Remediation Plan
    • Remediation, SLA Credits & Monitoring Ownership
    • Communication & User Impact Plan
    • Sign-off Decision & Next Steps
    • Recognition & Next Steps
First-Party AI

1-2 minutes please — Your AI agent is working

First-Party AI™ can make mistakes. Always check important information.