Clinical Decision Support
Clinical, operational, and financial complexity where patient outcomes, revenue, and compliance all intersect.
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 (CPO, CQO, CMIO, patient safety), timeline, budget guardrails, and what ‘good’ looks like for each stakeholder.
Alignment Questions
Getting Comfortable — Who’s in the Room?
- Who will be our primary sponsor and daily contact for this project (name, role, email)?
- Which stakeholders must sign off for a pilot to move to contract (select all that apply)?
- Which of these describes how decisions are typically made here?
- Who do clinicians listen to most when something changes in the EHR—pharmacy leadership, informatics, quality, or clinical chairs?
- If you had to pick one person who will champion this internally, who is it and why?
What if Alert Fatigue Cost a Patient?
- Have you had a sentinel event, near-miss, or regulatory finding in the last 24 months tied to medication safety or missed alerts? Tell us what happened.
- How did that incident change the mood or urgency among leadership and frontline clinicians?
- If nothing changes, how likely is a repeat incident in the next 12 months?
- Which consequence worries you most if alerts keep failing to influence care?
- Who outside your immediate team becomes involved when an adverse event occurs (e.g., legal, media, board)?
Are Your Alerts Helping—or Hiding—Harm?
- What is your current overall alert override rate (all alerts)? Please include timeframe and any known caveats.
- Which alert types drive the most overrides or clinician complaints?
- How confident are you that your content library reflects current guidelines and recent safety communications?
- How often is your clinical content reviewed and updated today (and who owns that process)?
- Tell us about a time when an alert successfully prevented harm—or when an alert failed. What was the context and outcome?
Where Workflow Breaks Down (and Clinicians Voice It)
- When clinicians tell you 'the CDS gets in the way', what do they mean—interruption, timing, wording, or false positives?
- Which EHR(s) and versions are you running, and are there any embedded CDS constraints we should know about?
- Where in the order-entry or documentation workflow do most problem alerts need to run to actually change behavior?
- How tolerant is your IT/ED integration team of external APIs, latency, and scheduled maintenance windows?
- Have clinicians ever bypassed or disabled an alert module because of workflow impact? If so, where and why?
If Success Was Measured in Numbers, Which Ones Matter?
- Which of these metrics will determine pilot success for you?
- What is your current baseline for the top metric you chose (include timeframe and how it's measured)?
- What absolute or relative target would make you say the pilot was successful (e.g., override rate <40%, X% reduction in ADEs)?
- How long do you need to run a pilot to feel confident in the results?
- What evidence will the clinical leadership require to accept the pilot outcomes (statistical analysis, case reviews, clinician surveys)?
- Which service line(s) would be the best pilot candidates and why?
Who Decides 'Good'—and What Are They Comfortable Betting On?
- If you had to name three people who must endorse 'good enough' to move forward, who are they and what will convince each?
- What budget guardrails or spend thresholds exist for pilots and proof-of-value projects?
- How do you weigh clinical benefit versus upfront cost—are you willing to pilot with shared-risk commercial terms tied to outcomes?
- What timeline pressures drive urgency (regulatory deadlines, board reporting, leadership changes)?
- Who in procurement/legal needs to review an agreement for a pilot and how long does that typically take?
What Would Make You Trust Our Alerts Tomorrow?
- How important is rapid content update cadence to you (e.g., 72-hour guideline updates) vs. slower, heavily curated changes?
- Who would own content governance locally (clinical editors, pharmacy, quality committee, or vendor-managed)?
- Which types of evidence or references build the most trust for your clinicians (guideline citations, peer-reviewed studies, internal case reviews)?
- What rollback or kill-switch safeguards would you require before going live in a pilot?
- Who do we need to involve from pharmacy, informatics, and safety to validate clinical logic before deployment?
- Describe one concrete trust-building action (e.g., joint chart review sessions) that would make clinicians more willing to accept new CDS behavior.
If We Ran a Pilot, Could We Prove It in One Quarter?
- Do you have a sandbox or test EHR environment where we can integrate and validate without affecting production?
- What data feeds can you provide for pilot measurement (medication orders, eMAR, ADE reports, override logs)?
- What access or credentials will the integration team need and how long does provisioning usually take?
- Are there institutional data-sharing agreements or DPA templates we must use, and who negotiates them?
- Who will run day-to-day pilot tuning and how many FTE hours per week can they commit?
- Are there specific security or penetration testing requirements before connecting to internal systems?
What Would Stop This Project Dead in Its Tracks?
- Looking at past CDS or integration projects, which failure modes repeat most often here?
- Which internal politics or competing priorities could deprioritize this work mid-pilot?
- If clinicians push back publicly, who supports the change and who could amplify resistance?
- What legal, compliance, or regulatory questions do you expect to arise and who owns responses?
- If we outline a clear mitigation plan for top risks, would that materially increase your willingness to proceed?
The Next Step That Feels Safe and Decisive
- What is the smallest, lowest-risk next step that would move you toward a pilot (e.g., demo with your cases, chart review workshop, data readiness call)?
- Who else needs to be present for that next meeting (name + role)?
- Realistically, when could you commit to that first next-step meeting?
- What concerns would you want resolved before committing to a pilot kickoff?
- If we proposed a 6–8 week integration plan followed by a 12-week tuning window, what about that timeline feels achievable or not?
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Current State Mapping
Document EHR workflow, alert volumes, override rates, recent sentinel events, content maintenance cadence, and integration constraints.
Current State
Getting Oriented — A quick snapshot of who you are and why we're here
- Who is joining this conversation today? List names, titles, and primary decision area (pharmacy, quality, informatics, patient safety).
- What triggered interest in improving your decision support right now?
- Who will be the final internal decision-owner for a pilot or purchase?
- What timeline are you aiming for from kickoff to pilot launch?
- How would you rank urgency of this initiative right now?
If This Were a Crime Scene — Tell Us About the Last Time Things Really Failed
- Describe the most recent sentinel event, near-miss, or regulatory finding that pushed this project forward—what happened, and who was affected?
- How often do events of that severity occur across your system?
- What root causes were identified (e.g., missing alerts, false negatives, poor clinician workflow fit, delayed content updates)?
- What were the downstream consequences — patient harm, extended LOS, fines, or reputational impact?
- How did clinicians and leadership react emotionally and operationally after the event?
Do Clinicians Trust the Alerts — or Just Click Through?
- What is your current average override rate for medication-related alerts (by service line if available)?
- Which alerts tend to have the highest override rates (e.g., drug–drug, dose checks, renal adjustments, duplicate therapy)?
- Where do you currently capture override data and who reviews it?
- Tell us about specific alerts clinicians complain about—what do they say and how long has that sentiment been building?
- Do you have qualitative clinician feedback channels (e.g., alert feedback button, frontline interviews)? If so, how often is feedback reviewed?
What’s the Actual Workflow in the EHR — Walk Us Through a Real Order
- Map the typical clinician journey for placing a medication order in your EHR—where do decision points and alerts appear?
- Which EHR and modules/versions are you running where the pilot would live?
- Are your alerts presented as interruptive modals, inline suggestions, order set recommendations, or passive banners?
- How many different clinician roles (attendings, residents, RNs, pharmacists, advanced practice) interact with the same alerts for the pilot scope?
- Do order workflows differ significantly across facilities or service lines? If yes, give an example.
What Hidden Tech Limits Are Quietly Slowing You Down?
- What integration methods are available for third-party CDS in your environment (SMART on FHIR, CDS Hooks, HL7 interfaces, custom APIs)?
- How fast must a decision support response be to avoid clinician frustration (acceptable latency in seconds)?
- Do you have isolated test/sandbox environments and who controls access?
- Who owns integrations internally (EHR vendor team, internal IS, third‑party integrator) and who will be our day-to-day technical contact?
- Tell us about any data governance or security constraints that would affect integration—data residency, PHI redaction, or 3rd‑party review timelines.
How Do You Keep Clinical Content Fresh — Is It Working or a Constant Struggle?
- Who currently owns clinical content for alerts (pharmacy, medication safety committee, clinical editors, other)?
- What is your current content review and update cadence for high-risk rules (e.g., interaction lists, dose thresholds)?
- How long does it take, on average, to update or retire an alert once a change is requested?
- Have there been times when outdated content contributed directly to harm or near-miss? Please describe briefly.
- How confident are your clinicians in the accuracy and timeliness of the current content library?
If We Tuned Alerts Perfectly, What Would Change for You?
- What concrete target(s) would define pilot success for you (override rate threshold, ADE reduction %, clinician time saved, acceptance criteria)?
- What specific service line or unit would you prefer for a pilot, and why do you think it’s the best test bed?
- How many orders/alerts per day would need to be observed to feel confident the pilot results are meaningful?
- What acceptance evidence would leadership need to move from pilot to enterprise (metrics, case reviews, clinician testimonials, financial ROI)?
- If this pilot does not meet your targets, what would be the tolerable outcome or acceptable next step?
How Ready Are Your Teams to Move Fast — and What Could Stop Us?
- Who are the essential operational owners who must be engaged for real-time tuning during a pilot (names/roles)?
- What is your procurement and legal timeline for approving third‑party integrations and DSAs?
- Do you have budget guardrails or caps for pilot implementation and content maintenance we should respect?
- What internal change fatigue or competing priorities might pull resources away during the pilot, and how have you handled similar conflicts before?
- If we needed quick clinical validators for rapid cycle tuning, who would be available and at what cadence (daily/weekly/as needed)?
Practical Next Steps — How Would You Like Us to Start?
- Which of these would be the most helpful immediate next step to keep momentum?
- What artifacts can you provide up front to accelerate discovery (sample alert logs, override datasets, a recent sentinel event report, EHR workflow screenshots)?
- Who should receive the initial discovery deliverable and what format do they prefer (presentation, executive summary, raw data files)?
- Realistically, when could your team commit to a 60–90 minute kickoff to validate these answers and begin technical planning?
- Is there anything we haven’t asked that you consider critical for us to understand about your current state?
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Outcome Discovery
Define measurable targets (e.g., override rate <40%, ADE reduction, CMS/QAPI improvements), pilot success signals, and required evidence for acceptance.
Discovery Questions
What's Top of Mind Right Now?
- What single outcome would make your executive team say this project was absolutely worth doing?
- Who is the primary decision-maker we should be solving this for?
- Which recent trigger led you to explore a CDS solution?
- How quickly do you feel pressure to show improvement?
- Who absolutely must sign off on pilot acceptance and contract terms?
If Alerts Could Tell the Truth — Would You Believe Them?
- How much do you trust the alerts clinicians currently see to reflect what actually matters?
- What is your current measured clinician override rate (or best estimate)?
- Tell us about a recent case where an alert either failed to prevent harm or created unnecessary burden—what happened and why did it stick with you?
- How often do clinicians raise concerns about irrelevant or distracting alerts?
- Who owns alert tuning today and how regularly is tuning performed?
What Are You Willing to Measure (and Defend)?
- Which outcome metrics matter most to you for a pilot? (select all that apply)
- Of the metrics you selected, which are already captured reliably in your systems?
- For each prioritized metric, what is the minimum improvement your leadership would call a success? Please list metric and target.
- Do you require statistical significance for pilot results, an absolute threshold, or a directional improvement combined with qualitative clinician acceptance?
- How comfortable are you with surrogate endpoints (e.g., reduced overrides) versus hard clinical outcomes (e.g., ADE reduction) for initial acceptance?
Pilot: What Would Make You Declare Victory?
- What exact signal would convince your board this pilot was not just a temporary improvement but a true win?
- Which service line or unit do you prefer for the pilot? (select one or more)
- What pilot duration would you consider meaningful to judge both clinical and workflow impact?
- What minimum patient or order volume do you think is necessary for the pilot to feel credible?
- Which pilot success signals are non-negotiable for acceptance? (choose all that apply)
Evidence: What Counts as Proof in Your World?
- Do clinician anecdotes move the needle for you, or do you need quantitative proof to act?
- Which types of evidence will you accept as part of the pilot deliverables? (select all that apply)
- Would you require independent clinical validation or third-party audit of results?
- What documentation or legal assurances do you need tied to evidence (for example: data-sharing, indemnity, HIPAA-compliant data handling)?
- How quickly do procurement or quality committees expect these evidence packages after pilot completion?
Who Will Push Back — And What Will They Say?
- If this change triggered resistance, where would it come from first and what argument would you expect to hear?
- Which teams or roles are most likely to push back? (select all that apply)
- What are the top three concerns those groups will raise? (e.g., added clicks, liability, workflow mismatch, content trust)
- Which stakeholder currently has the lowest confidence in enterprise CDS efforts?
- From past change initiatives, what persuaded skeptics to come on board? Tell us one tactic that worked.
Data & Logistics: Can We Prove It With Your Systems?
- How confident are you that your EHR and analytics stack can capture the signals we need without significant custom engineering?
- Which data feeds and logs are available for pilot use? (select all that apply)
- Which test environments can we use for integration and scenario validation?
- Who will own analytics and weekly pilot reporting?
- Are there technical constraints we should know about (API rate limits, latency tolerances, staffing for integration)? Please list.
If It Works — How Do We Keep It Working?
- Assuming pilot targets are met, what is the single most likely thing to erode that success within six months if not planned for now?
- What content governance model would you prefer for ongoing updates?
- How often do you expect critical guideline/content updates to be applied?
- Who will budget for ongoing licensing and maintenance?
- What SLAs do you require for emergency content changes (e.g., drug safety alerts, recall guidance)?
Ready to Move — What's the Smallest Step That Proves Progress?
- If we proposed a minimal, low-risk pilot to start next week, what single risk would still keep you from approving it?
- What level of approval do we need to kick off (select one)?
- Ideal kickoff timeline for you
- Who should attend the kickoff meeting from your side? (select all that apply)
- Are there any absolute deal-killers or constraints we should know before preparing a proposal?
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Solution Experience
Run scenario-based sessions using the customer’s cases to show how embedded CDS changes clinician actions, reduces overrides, and fits the EHR workflow.
Experience Meetings
- Pre-Experience Alignment
- Clinical Scenario Preparation Workshop
- Solution Experience — Scenario Run: Medication Interaction & Dose Verification
- Solution Experience — Scenario Run: Imaging Appropriateness & Antimicrobial Stewardship
- Validation & Acceptance Workshop
- Agree on additional tuning items specific to imaging and stewardship modules.
- Schedule dry-run rehearsal with facilitator, scribe, technical lead, and at least one clinician before public runs.
- Frame the Run
- Demonstrate, with logged evidence, that CDS altered clinician action consistent with the future state for the medication scenarios.
- Capture clinician validation statements validating that the intervention fits the EHR workflow and is actionable.
- Generate a prioritized list of tuning and content edits required before pilot deployment.
- Collect the required evidence package for scenario acceptance (logs, statements, metrics).
- Seller to export and timestamp logs, screenshots, and clinician validation notes for the run and deliver to the customer.
- Customer to review and confirm clinician validation statements and annotate whether the observed action meets acceptance criteria.
- Seller to create a tuning backlog entry with severity, proposed rule change, and owner for each identified tuning item.
- Schedule a short follow-up to apply tuning and re-run any scenarios that did not meet acceptance.
- Context Recap
- Prove that CDS reduces unnecessary imaging orders and inappropriate antibiotics in the tested cases with captured evidence.
- Obtain clinician validation that interventions are practical and fit the ordering workflow with acceptable time impact.
- Document any cross-scenario risks that need mitigation prior to pilot rollout.
- Introductions & Objective
- Seller to compile a combined evidence dossier for imaging and stewardship runs (logs, decision timestamps, clinician statements).
- Customer clinical leads to review and formally accept or request re-run for each scenario within agreed SLAs.
- Both teams to log any alert overlap or latency issues and assign technical owners to investigate mitigation.
- Plan and schedule any required additional scenario runs after tuning is applied.
- Executive Recap (Current State → Consequence → Future State)
- Agree whether the Solution Experience evidence meets the success signals for pilot acceptance.
- Capture a prioritized set of tuning tasks to complete before pilot and assign owners and deadlines.
- Document risks, rollback plan, and confirm signatories for pilot go/no-go decisions.
- Finalize pilot start date and the integration/tuning timeline with responsible parties assigned.
- Customer to provide formal sign-off or conditional acceptance and list any mandatory changes required pre-pilot.
- Seller to deliver a final tuning plan, implementation schedule, and updated integration timeline reflecting agreed items.
- Both teams to publish a succinct evidence pack and acceptance memo that will be attached to commercial/mutual commit items.
- Schedule Deployment Readiness checkpoint to verify EHR access, governance owners, and rollback readiness prior to pilot kickoff.
- A single clear current‑state sentence capturing where the process breaks and who is impacted.
- Documented, quantified consequences (cost, safety, regulatory exposure) tied to the current state.
- A one-sentence future state describing the operational outcome the pilot must prove.
- A confirmed list of customer cases, required data extracts, and deadlines for delivery.
- Clear roles, access to a test environment, and scheduled scenario session dates.
- Customer to deliver de-identified EHR extracts, alert logs, override records, and sentinel event summaries for agreed cases.
- Seller to validate sandbox EHR access and ingest sample cases into the simulation environment.
- Seller and customer to co-author and sign off on the one-sentence current state, consequence summary, and future state.
- Assign clinical and technical point people for each scenario and schedule scenario run dates.
- Recap Preconditions
- A prioritized set of executable scenario scripts mapped to the current workflow and decision points.
- Explicit, measurable success signals and the exact evidence that will prove acceptance for each scenario.
- Technical checklist completed ensuring the scenario can run in the sandbox with logging enabled.
- Assigned clinical observers and a scribe to capture clinician feedback and validation statements during runs.
- Customer clinicians to annotate each selected case with current decision triggers and desired outcome per script.
- Seller to convert annotated cases into scenario scripts and configure them in the test environment.
- Both teams to finalize metric capture plan (override tracking, timestamps, clinician responses) for each scenario.
- Scenario 1 Walkthrough
- Select & Prioritize Cases
- Evidence Summary
- Imaging Scenario Run
- One‑Sentence Current State
- Stewardship Scenario Run
- Map Current Workflow Step‑by‑Step
- Quantify the Consequence
- Gap Analysis vs. Success Signals
- Capture Objective Metrics
- Define CDS Touchpoints & Expected Clinician Actions
- Tying Back to Consequence
- Define One‑Sentence Future State
- Measure Time & Cognitive Impact
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Solution Scope
Define modules (interaction checks, dose verification, imaging appropriateness, antimicrobial stewardship), pilot service line, tuning plan, data needs, and success metrics.
Scope Configuration
- Integrate CDS with EHR Order Entry
- Deploy Drug–Drug Interaction Engine
- Activate Dose‑Range Checking Module
- Deploy Diagnostic Decision Trees
- Enable Imaging Appropriateness Rules
- Implement Antimicrobial Stewardship Rulesets
- Configure Contextual Order Appropriateness Checks
- Tune Alert Logic and Suppression Thresholds
- Apply Role‑Based Alert Routing
- Push Clinical Content Updates within 72 Hours
- Deploy Real‑Time Override and Outcome Analytics
- Enable Safety Hard Stops for High‑Risk Orders
- Deliver Clinician CDS Workflow Training
- Maintain Content Versioning and Audit Trails
Scope Questions
Integrate CDS with EHR Order Entry
- What is your primary EHR vendor and major version?
- Which integration method(s) are available/preferred at your organization?
- Which order entry workflows should CDS be embedded into?
- Which environments can we use for integration and testing?
- What fields and data elements must be mapped for order entry (e.g., patient weight, renal function, order code systems)?
- Are there EHR performance or latency SLAs we must meet for in‑workflow CDS?
Deploy Drug–Drug Interaction Engine
- What is your current approach to drug–drug interaction (DDI) checking?
- Which severity tiers do you want surfaced and how (e.g., block high, warn moderate)?
- Do you require formulary or equivalency mapping to be applied to DDI logic?
- Should custom institution‑specific DDI rules be created (e.g., local therapeutic substitutions)?
- What is your baseline daily medication order volume (orders/day) for the pilot service line?
- Please provide sample cases or a short list of high‑priority DDI scenarios you expect the engine to address.
Activate Dose‑Range Checking Module
- Do you require weight‑based dosing (kg) support for adults, pediatrics, or both?
- Which patient populations must be supported (e.g., neonatal, renal impairment, ICU)?
- How should unit and formulation conventions be handled (e.g., mg/kg, units, concentrations)?
- Which tolerance thresholds do you prefer for dose alerts (conservative = more alerts, permissive = fewer alerts)?
- For which medication classes do you require dose hard stops vs soft warnings?
- Is integration with the pharmacy information system (PIS) required for verification and overrides?
Deploy Diagnostic Decision Trees
- Which diagnostic use cases are highest priority (select all that apply)?
- Where should decision trees appear in workflow (triage, clinician note, order entry, CDS sidebar)?
- Do you require localization or institution‑specific pathways embedded into the trees?
- What structured data inputs are reliably available to seed the trees (labs, vitals, problem list, meds)?
- What success signals should we track for diagnostic trees (time‑to‑diagnosis, imaging reduction, accuracy)?
- Are there regulatory or specialty constraints (e.g., stroke metrics, sepsis bundles) the trees must support?
Enable Imaging Appropriateness Rules
- Do you currently use a standards‑based appropriateness reference (e.g., ACR Appropriateness Criteria)?
- Which imaging modalities should be in initial scope?
- Should rules be advisory (recommendation) or enforceable (block/pre‑auth)?
- Do you need integration with radiology scheduling / pre‑auth workflows?
- What target reduction in unnecessary imaging (percent) would justify pilot success?
- Is access to prior imaging and reports available to inform appropriateness checks?
Implement Antimicrobial Stewardship Rulesets
- Is there an active Antimicrobial Stewardship Program (ASP) team available to partner on rules?
- Which stewardship targets are priorities (empiric therapy, duration, IV→PO conversion, de‑escalation)?
- Is real‑time microbiology and susceptibilities data available to feed rules?
- Should alerts route directly to an ASP pharmacist or to the ordering clinician first?
- Do you require antibiogram integration or local resistance patterns to influence rules?
- What outcome measures will determine stewardship success (DDD, broad‑spectrum days, C. diff rates)?
Configure Contextual Order Appropriateness Checks
- Which contextual data elements must be considered (diagnosis codes, labs, allergies, renal function)?
- Should rules evaluate time‑sensitive thresholds (e.g., last lab within 24 hours)?
- Do you want order tailoring by service line (e.g., oncology vs med‑surg)?
- How tolerant should checks be to incomplete data (suppress if insufficient context)?
- Are local code systems / terminologies used that require mapping (SNOMED, ICD, local drug codes)?
- Provide examples of order/context combinations you want the checks to catch.
Tune Alert Logic and Suppression Thresholds
- What are your current baseline alert volume and override rates (organization or pilot service)?
- What is your target override rate and clinician burden after tuning?
- Do you want tuning applied globally or by service/clinician role?
- Should suppression be automated based on frequency / low yield alerts?
- How frequently should tuning reviews run (and who attends)?
- Who will own ongoing tuning decisions (pharmacy, clinical governance, informatics)?
Apply Role‑Based Alert Routing
- Which roles should receive routed alerts (select all that apply)?
- What routing channels are acceptable (in‑EHR inbox, task, email, pager)?
- Are escalation paths required if alerts are not acknowledged within a timeframe?
- Do you require role‑based permissions for dismissing or overriding specific alerts?
- What is the expected average number of users per routed role for pilot sizing?
- Are there existing messaging / ticketing integrations (e.g., Epic In Basket, Cerner In Basket) we must use?
Push Clinical Content Updates within 72 Hours
- What is your required SLA for emergency content updates?
- Who must review and approve content updates (roles or committee)?
- Do you require an emergency/expedited approval flow for critical guideline changes?
- Which distribution channels should updates use (automated sync, manual package import, email notification)?
- Do you require pre‑ and post‑deployment validation steps for each content push?
- Provide examples of recent guideline changes you needed updated rapidly.
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Mutual Commit
Finalize commercial terms, data-sharing agreements, timeline (6–8 week integration, 1-quarter tuning), and contract-level acceptance tied to metrics.
Agreement Modules
- Master Services Agreement (MSA)
- Statement of Work (SOW)
- Pricing & Commercial Terms
- Business Associate Agreement (BAA)
- Data Processing Agreement (DPA)
- Security & Technical Addendum
- Integration & Implementation Timeline
- Pilot Scope & Success Criteria
- Metrics-Based Acceptance & KPI Tie-In
- Service Level Agreement (SLA) & Support
- Change Order & Scope Management
- Data Sharing & Analytics Rights
- Intellectual Property & Licensing
- Termination, Transition & Rollback Plan
- Liability, Indemnification & Insurance
- Execution & Signatures
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Deployment
Operationalize rollout with readiness checks, enablement, and outcome validation.
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Pre-Deployment Readiness
Confirm EHR access, test environments, data feeds, content governance owners, rollback plans, and clinical validation participants.
Readiness Questions
Set the Scene: Who's Driving This?
- Which roles will be the active sponsors and decision-makers for this pilot?
- Who is the single executive ultimately accountable for a go/no‑go decision at pilot close?
- What is the target timeline from integration kickoff to pilot launch?
- What level of budget or guardrails have you allocated for integration, tuning, and evaluation?
- Briefly describe the one immediate pain or event that made you start this conversation now (sentinel event, regulatory pressure, quality metric, other).
If Our Integration Struggled, What Breaks First?
- If the EHR integration introduced even intermittent lag or mismapped alerts, which stakeholder’s trust would erode fastest?
- Which EHR vendor and version will we be integrating with for this pilot?
- Do we already have API/integ credentials and test accounts for the EHR (ADM/INT environments)? If yes, who holds them?
- What latency threshold would you consider unacceptable for clinician workflow (e.g., response > X seconds)?
- Describe any recent EHR projects or integrations that succeeded or failed and why—what should we learn from them?
Are Your Test Environments Real Enough to Tell the Truth?
- Does your test (non‑prod) environment mirror production data models and workflows closely enough to validate clinician experience?
- How often is test data refreshed from production and who owns that refresh process?
- Can we provision clinician test accounts in the environment that replicate typical order-entry workflows (including pharmacy roles)?
- Are protected health information (PHI) de-identified in the test environment, and is a data use protocol required?
- If we need to simulate high alert volume or a sentinel-event scenario in test, how easy is it to inject or replay cases?
If Data Stops, Does the Pilot Stop?
- Which clinical data feeds can we access for the pilot (select all that will be available)?
- What integration standards are supported on your side (HL7 v2, FHIR R4, custom APIs, other)?
- How frequently do feeds need to refresh to meet clinician expectations (near real‑time, every minute, batch hourly)?
- Who are the technical owners for each feed (names/emails) and how responsive have they been historically?
- Are there security controls, IP whitelists, or VPN requirements that will affect our ability to receive feeds quickly?
Who Decides What ‘Correct’ Looks Like Clinically?
- Who will own content governance and approvals for alert logic, severity, and suppression rules?
- Which clinicians will participate in clinical validation sessions and how many per specialty/service line?
- What evidence will satisfy clinicians that an alert is actionable (e.g., literature reference, internal guideline, case example)?
- How fast do you expect content updates to be approved and published during pilot tuning?
- If clinical validators disagree with an alert decision, what escalation path and timeline should we follow?
If Clinicians Push Back, Do You Have a Safe Exit?
- Do you have an approved rollback plan that can remove or suppress our module without degrading EHR performance or data integrity?
- What operational steps and owner assignments are required for an emergency rollback (who phones whom, within what timeframe)?
- Are there legal, compliance, or regulator notifications that must occur if we change live CDS behavior during the pilot?
- How will clinician feedback be captured in real time during rollout (in‑EHR feedback, hotline, daily huddles)?
- What monitoring and alerting will you want from us to detect adverse workflow impact immediately?
What Would Make This Pilot a Clear Win—or a Stop?
- Which pilot success metrics matter most to you (rank up to three in the next field)?
- What absolute thresholds would prompt you to pause or cancel the pilot (e.g., override rate > X%, latency > Y seconds)?
- Who must sign the pilot acceptance (names/roles) and what evidence package do they require at handoff?
- How frequently do you want interim readouts during tuning (daily, weekly, fortnightly) and which stakeholders should receive them?
- If early signals look positive but not definitive, what minimum extension or scale would you approve to reach confidence?
Practical Commitments: Who Does What, When?
- Please list the technical and clinical owners (name, role, email) who will be available for daily standups during integration and tuning.
- Which days/times are best for technical cutovers or validation sessions to minimize clinician disruption?
- Are there scheduled organizational events (governance meetings, accreditation deadlines, EHR upgrades) during the pilot period we should avoid?
- What internal reporting format do you prefer at pilot close (slide deck, analytics workbook, executive 1‑pager)?
- What are the next three actions you can commit to now to get us to a validated test environment and named clinical validators?
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Deployment Enablement
Schedule and execute the rollout with Gantt sequencing, technical and clinical owners, integration tasks, and clinician enablement sessions.
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Validation Checklist
Run acceptance tests for latency, alert suppression accuracy, override tracking, clinician time impact, and analytics correctness.
Validation Questions
Quick Check-In: Who's in the Room?
- Who from your team will be directly involved in running and signing the validation tests (select all that apply)?
- Which service line(s) is the pilot focusing on?
- What is your target go-live window for starting the validation tests?
- Which single metric would you consider most important for passing validation?
- In one sentence, what is the single biggest worry you have about running acceptance tests in your EHR environment?
If 'Accepted' Means 'We're Safe' — Are We Sure?
- If the system meets the numeric thresholds but clinicians continue to ignore high-severity alerts, would you call the pilot successful?
- What specific acceptance thresholds do you require for the following: override rate, latency, and suppression accuracy? (Please list thresholds and current baselines if available)
- What minimum observation window (continuous days or weeks) do you require before signing off on results?
- What statistical or sample-size criteria do you expect (e.g., minimum encounters, confidence interval) to feel the results are reliable?
- Who has final veto authority even if acceptance metrics are technically met? (roles or names)
Data Truths: Can We Trust What We'll Measure?
- If your analytics feed missed 10% of events during the pilot, would you still consider the validation meaningful?
- Which data sources will we rely on for each metric (select all that apply)?
- What is the expected update frequency and lag for each feed (real-time, minute-level, hourly, daily)?
- Are there known mapping, normalization, or data-quality gaps we should plan to reconcile before tests start?
- Who owns the ground-truth for adverse events, override reasons, and denominators for rates?
- Would you permit a blinded manual chart-review sample to validate automated analytics if discrepancies appear?
Clinician Experience Under the Microscope
- If dashboards look good but clinicians report increased cognitive burden, would that be acceptable?
- How should we measure clinician time impact (choose all methods you're open to)?
- Which clinician cohorts should we prioritize for observation and feedback during validation?
- Do you have baseline measures for order-entry time, override rates, or reason codes we can compare against?
- Are clinicians permitted to opt out or bypass the pilot workflow, and if so, how will those exceptions be tracked and reported?
- Would you be willing to support short qualitative interviews or focus groups after initial runs to capture emotional responses and trust levels?
Technical Performance: What's Invisible but Critical?
- Would you accept a slight increase in end-to-end latency if it materially reduces low-value alerts?
- What maximum end-to-end latency (ms) would be a deal-breaker for clinician workflow?
- What peak concurrent transaction volume should validation design target (pick closest)?
- Which metric best represents alert suppression accuracy for your team (choose one)?
- Which environment(s) should we run tests in (select all that apply)?
- Who will triage integration or logging errors during test runs (customer IT, vendor, or joint response)?
Analytics and Acceptance: Who Signs Off and When?
- If results vary across service lines, who decides whether the overall pilot is accepted or requires rework?
- How would you like to weight acceptance criteria across metrics (for example: override reduction 40%, latency 30%, clinician impact 30%)?
- Do you require independent verification of analytics (third-party audit or internal peer review)?
- What is your preferred cadence for interim validation reviews and who should attend each update?
- Who will sign the final acceptance document and what artifacts do you expect attached (final report, logs, RCA, clinician feedback)?
Safety Nets and Rollback: What If Things Go Wrong?
- If a suppression error is implicated in an adverse event during the pilot, should testing stop immediately?
- Which real-time triggers should automatically halt or rollback the deployment (select all that apply)?
- How quickly must a rollback be executable (choose one)?
- Who is authorized to approve a rollback during business hours and after hours? (roles or names)
- What notification and escalation path should be used to inform clinicians, leadership, and regulators if an incident occurs?
- Do you have an existing incident review and RCA cadence and who leads it?
Pilot to Scale: What Counts as Learning vs. Failure?
- If tuning reduces total alerts but also lowers detection of rare severe events, would you consider that a successful trade-off?
- What minimum evidence (quantitative and qualitative) would justify moving from pilot to wider rollout?
- Which operational prerequisites must be in place before scaling (select all that apply)?
- How long should the post-deployment tuning window be before committing to scale?
- How would you like us to capture lessons learned and prioritize a shared backlog (tooling, meetings, owners)?
Ready to Run the Tests?
- If an item on this checklist is incomplete at handoff, would you allow testing to proceed under a risk-mitigated plan?
- Please confirm we have the following accesses and artifacts (select all that we already have):
- Who will own scheduling the acceptance test runs and who must be present for each run (roles/names)?
- Please provide target dates for: test start, interim review, test end, and final report delivery.
- Is there anything else you want us to measure, observe, or include in the acceptance report that we haven't covered?
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Success
Review pilot outcomes vs. success signals, capture learnings, and maintain a shared backlog for issues and enhancements.
Success Reviews
- Pilot Outcomes Review — Data Validation & Consequence
- Clinician Feedback & Root Cause Analysis
- Backlog Prioritization & Roadmap Planning
- Validation Checklist & Acceptance Decision
- Handoff & Continuous Improvement Rhythm
Issues & Enhancements
- Publish the acceptance report with evidence and circulate to executive sponsors and procurement/legal.
- Agree on measurable acceptance criteria for each prioritized backlog item.
- Set a concrete 90-day roadmap and resource commitments for tuning and content updates.
- Define the process for ongoing backlog intake and triage post-pilot.
- Import prioritized backlog into shared tracking tool and notify owners with initial deadlines.
- Publish the 90-day roadmap and circulate to governance and IT teams for resource confirmation.
- Document acceptance criteria templates and attach them to each backlog item.
- Review Validation Checklist Items
- Make a documented acceptance decision tied explicitly to checklist metrics.
- If remediation is required, produce a timebound remediation plan with owners and measurable gates.
- Obtain formal signoff or recorded agreement and next steps for contract/SOW updates or rollout.
- Opening & Current State (one sentence)
- If applicable, open remediation tickets with deadlines that map to acceptance gates.
- Update the project timeline and notify implementation teams of the decision and next milestones.
- Governance & Roles
- Agree on governance, cadence, and owner responsibilities for ongoing tuning and backlog management.
- Establish reporting access, frequency, and SLAs for monitoring KPI health and responding to regressions.
- Document operational processes (change windows, rollback, escalation) to minimize clinical disruption during future changes.
- Schedule the first three cadence meetings and ensure tool access for all owners.
- Publish governance charter, meeting cadences, and attendee list to the shared workspace.
- Grant dashboard access and schedule automated KPI reports to stakeholders.
- Create runbooks for rollback and emergency escalation and distribute to on-call technical and clinical owners.
- Produce a validated, single-source summary of pilot outcomes mapped to each success signal.
- Make explicit the operational and regulatory consequences of the pilot results.
- Secure stakeholder confirmation on which signals are met, which need remediation, and any data gaps.
- Identify immediate data validation tasks required to close outstanding metric questions.
- Reconcile any analytics discrepancies by delivering raw extracts and methodology verification within 3 business days.
- Document the case roster of proof scenarios and store in shared folder for audit and follow-up.
- Draft a one-page consequences summary (clinical, financial, regulatory) for executive stakeholders.
- Session Framing & Evidence Recap
- Create a clear list of root causes for top failures with proposed, evidence-linked remediations.
- Gain clinical alignment on acceptable tuning or content changes and their clinical rationale.
- Assign owners and validation approaches so fixes can be implemented and measured during the tuning period.
- Commit to targeted follow-up observation or user sessions for unresolved behavior gaps.
- Schedule 2 targeted clinician observation sessions and capture workflow video/snippets for each failure mode.
- Create and submit tuning change requests with clinical rationale and expected metric impact.
- Update the content entry flagged as confusing and circulate for clinician sign-off before redeployment.
- Backlog Review & Categorization
- Produce a prioritized backlog aligned to KPIs with owners and sprint/release targets.
- Present Test Results vs. Thresholds
- Map Backlog Items to Success Signals/KPIs
- Recurring Cadence & Meeting Types
- Clinician Feedback Summary
- Recap of Success Signals & Acceptance Criteria
- Prioritization Exercise (RICE/MoSCoW)
- Analytics Review & Data Validation
- Data Sharing, Dashboards & Reporting Schedule
- Root Cause Analysis (Top 3 Failure Modes)
- Live Acceptance Sampling
- SLAs, Change Windows & Rollback Plans
- Draft 90-Day Roadmap & Release Windows
- Decision & Remediation Plan
- Define Remediation Options & Clinical Rationale
- Consequence Analysis
- Continuous Improvement Process & Tooling
- Owner Assignment & Verification Plan
- Define Acceptance Criteria for Backlog Deliverables
- Scenario-Based Proofs
- Signoff & Next Commercial/Operational Steps
- Validation & Agreement