Care Management
Multi-stakeholder benefits decisions where employer groups, brokers, and members must align on coverage and cost.
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 (VP care mgmt., CMO, CIO, finance), timeline, success metrics, and audit readiness constraints.
Alignment Questions
Quick hello — who are we partnering with?
- Who will be our primary day-to-day contact for this initiative (role & name if known)?
- How urgent is this initiative on a scale from “monitoring” to “mission-critical” for your team right now?
- In one sentence, how would your team describe the primary goal we should be solving together?
- When you think about your care managers today, what single frustration do they mention first (e.g., caseload, documentation time, alert noise)?
- Which existing vendors, internal teams, or legacy tools are already involved in care management today?
Who's actually holding the pen on decisions?
- Who must give final approval to purchase and/or deploy a new care management platform — and who could veto it?
- How do those decision-makers typically reach a decision — single approver, executive committee, or consensus across stakeholders?
- For each of the roles you selected, what does success look like to them? Please list role → top outcome or concern.
- Who outside of leadership (e.g., frontline nurses, utilization managers) will need to be convinced, and how do they usually express resistance?
- How do decisions get escalated when a pilot or vendor isn’t meeting expectations (timeline, SLA, outcomes)?
If this doesn’t move the needle, who feels the pressure?
- Whose performance, budget, or contract renewal is most exposed if avoidable ED visits and PMPM don’t improve?
- Which measurable KPIs are non-negotiable for your team to consider this initiative successful within 6–12 months?
- Please provide current baseline values (or best estimates) for the top 3 KPIs you selected above.
- What PMPM reduction target (approximate %) would satisfy finance in a 12‑month window?
- Who will be responsible for validating the financial outcomes (role/team)?
Audit day: could you pass right now?
- If an NCQA or state audit happened this week, which of these artifacts are ready and easily exportable?
- What’s the single biggest compliance or audit concern that keeps leadership up at night?
- Have you had any recent findings, notices, or corrective actions related to care management quality or audits?
- What specific evidence would satisfy auditors that your care management workflows meet contractual and NCQA standards?
- Who owns audit readiness and how many dedicated FTEs or hours per month can they commit to preparing artifacts?
Data flows and integrations — where do projects actually get stuck?
- If our engineers can’t get reliable access to ADT/claims/EHR data in the first 30 days, will the project pause or proceed with a reduced scope?
- Which of these data feeds are live or easily accessible today?
- Which systems/platforms are primary for your providers and payers (check all that apply)?
- Do you have sample files, data dictionaries, or existing API specs we can review during technical kickoff?
- What security, hosting, or legal constraints must we meet before connections are approved (e.g., on‑prem only, SOC2, BAAs)?
- Who owns integrations on your side and what SLA can they meet for development and testing?
Timeline pressure — perfect vs practical.
- If everything lined up today, when do you need measurable improvement to influence contract renewals or audits?
- Is there an RFP or procurement milestone we must align with (date or window)?
- What pilot length and cohort size would your team consider sufficient to make a go/no‑go recommendation?
- Which internal gating milestones most often delay projects of this type?
- How much flexibility does procurement/finance have to approve phased commercial terms (pilot → scale)?
What would make you say yes — the deal clincher?
- What’s the single, non‑negotiable piece of evidence or guarantee you’d need to greenlight this platform?
- Which acceptance criteria must be demonstrably met at pilot completion for you to recommend scale?
- What clinician adoption metric would feel like a success (e.g., % of care managers using the workspace daily)?
- Who needs to be at the final commercial decision meeting?
- What would be the ideal next artifact or step from us to help you move toward a decision (pick all that apply)?
- Before we wrap up, what are you most afraid will go wrong if you pursue this change?
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Current State Mapping
Document existing care management workflows, data sources, caseloads, and failure modes driving avoidable ED use.
Current State
Quick Snapshot: Where Are You Today?
- In one short sentence, how would you describe the single biggest thing keeping your care management team from preventing avoidable ED visits today?
- Which of these pressures feels most urgent to leadership right now?
- What is the typical RN care manager caseload (median or most common range)?
- On an average shift, how would you describe time split between documentation vs member outreach?
- When did your avoidable ED rate begin to rise and what pattern have you seen since (steady, seasonal, cohort-driven)?
If We Keep Quiet About This, What Breaks Next?
- If the current approach continues for the next 6–12 months, what will be the most painful operational or financial consequence?
- Which of these drivers do you believe is the primary upstream cause of the avoidable ED increases?
- Which member cohorts are disproportionately contributing to avoidable ED visits?
- How predictable are spikes in ED use (we can forecast them vs they feel random)?
- How quickly can your team currently deploy an outreach intervention to a flagged high-risk member (from signal to completed outreach)?
Who Actually Owns the Decisions and the Day-to-Day?
- Who in your organization loses the most sleep when avoidable EDs rise—whose job title changes if this keeps happening?
- Which stakeholders must align to change a clinical workflow (select all who need to sign off)?
- Who is the operational owner for day‑to‑day care manager tooling and who is the executive sponsor for program outcomes?
- How aligned are the VP Care Mgmt, CMO, CIO and Finance on timeline and measurable targets for improvement?
- Who will be our primary point of contact for discovery and for data/integration discussions?
Hidden Data, Missing Signals — Where Things Go Dark
- Tell us about the last time a patient ‘fell through the cracks’ because a feed, alert, or data point failed to arrive—what happened?
- Which of these data sources do you currently receive and how reliable are they?
- Do you have a consistent unique identifier linking claims, ADT and EHR (e.g., member ID matched across systems)?
- How often do you receive ADT alerts today?
- About what percent of your active population has usable SDOH screening data attached to their profile?
A Day in the Life of Your Care Manager (Be Honest)
- If an outsider watched a care manager for a day, what would surprise them most about how work actually gets done?
- Which of these tasks occupy the largest slice of a care manager’s time? (select top 3)
- Which tools/systems do care managers toggle between most frequently?
- How many separate systems does a care manager typically need to touch to complete a single outreach workflow (estimate)?
- What single manual handoff or task creates the most delays in closing care gaps?
Failure Modes That Actually Cost You Money
- Which recurring failure mode would you point to if someone asked: ‘Where are we literally wasting dollars?’
- Which of these failure modes drive avoidable ED use in your population?
- How often do those failures occur for the highest‑risk cohort (approx % of cases)?
- When a failure occurs, how is it typically discovered (claims review, member complaint, clinician chart review, audit)?
- Do you currently run root‑cause analyses and store lessons learned so the same failure doesn’t recur?
Audit Day: Can You Produce the Paper Trail?
- If an auditor requested evidence of timely follow‑up and interventions for a sampled cohort, would you be confident in producing it within 48 hours?
- Which documentation elements are reliably captured today (select all that are consistently stored)?
- What percentage of charts would you estimate meet NCQA care management documentation standards today?
- How long would it take you to run member‑level reports linking interventions to outcomes for an audit (e.g., 12 months of interventions vs ED visits)?
- What specific documentation or systems gaps would most likely cause an audit finding?
What Small Fix Would Feel Like a Miracle?
- If one modest change could reduce avoidable EDs among your highest‑risk 10% by 20%, what change would you pick first?
- Which of these interventions do you already have some evidence for within your organization?
- What quick wins could realistically be tested in a 60–90 day pilot?
- What constraints would most likely prevent a fast pilot (select all that apply)?
- Who internally would need to sign off to greenlight a 60–90 day pilot?
How We'll Measure Progress — Metrics That Matter
- Are your current success metrics set up to be actionable (linked to workflows and roles) or mostly retrospective KPIs?
- Which outcome measures would you prioritize for a first pilot (select up to 3)?
- What attribution window would your finance team accept to link intervention to cost impact?
- What is the minimum measurable percent improvement you would require to consider a pilot commercially viable?
- Who will own ongoing measurement and reporting once a pilot moves to scale?
Next Smart Steps — Commitments, Risks, and Red Flags
- What is the single biggest red flag that would make you stop a deployment in the first 90 days?
- Which of the following must be in place before you consider a pilot (minimum set)?
- Do you have any fixed deadlines (RFP due date, NCQA audit, contract renewal) that would constrain our timeline?
- What would meaningful progress look like at 30 / 90 / 180 days (one line each)?
- Are you open to a focused 6–8 week discovery engagement that produces: prioritized failure modes, data map, pilot design, and a timeline?
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Outcome Discovery
Define target outcomes, measurable success signals (ED visits, PMPM, NCQA readiness), and attribution windows.
Discovery Questions
Starting with What Matters Most
- To get started, which single outcome is the executive team most insistent we deliver in the next 6–12 months?
- How confident are you in the current baseline numbers for that outcome (e.g., current avoidable ED rate, current PMPM)?
- Please share the numeric baseline and the time period it covers (e.g., 'Avoidable ED: 15% increase year-over-year; baseline period Jan–Dec 2025')
- Who in your org will be held accountable if that outcome isn’t achieved (role/title)?
Are We Measuring the Right Things (or Just Measuring Busywork)?
- If the metrics we're tracking today changed but member outcomes didn’t, what would that tell you about your current measurement approach?
- Which of these outcome signals matter most for your stakeholders? Select all that apply.
- For each selected signal, what is the numerical target (e.g., % reduction or $ per member) and the timeframe you consider a success?
- Which data sources do you currently trust to measure those signals in near-real time (pick all that you rely on today)?
- Where do you feel the biggest gap is between what you can measure and what you need to prove for an audit or NCQA review?
Where the Bottlenecks Hide — Not the Ones You Tell Vendors About
- If your care teams could snap their fingers and remove one recurring bottleneck that most reliably causes avoidable ED visits, what would it be?
- How do current workflows or tools actively make clinical outreach slower, less precise, or less likely to reach the right members?
- Tell us about a recent case where the workflow failed—what happened, and what was the downstream outcome?
- How predictable is the caseload mix by acuity today (e.g., what % are high-acuity vs. moderate vs. low), and how often does that mix surprise your managers?
- What parts of the clinician experience (alerts, navigation, documentation) cause the most frustration or lead to workarounds?
Who Really Owns Success (and What Will They Accept?)
- If finance asks for a PMPM reduction of X within 12 months, what political, contractual, or program constraints could make that target unrealistic?
- Which stakeholders must sign off on both the clinical approach and the measurement plan before you can proceed?
- What evidence would reassure the CMO that the platform’s protocols are clinically sound (e.g., peer‑reviewed studies, pilot results, clinical advisory letters)?
- How will the CIO evaluate success from an integration perspective (e.g., percent of EHRs integrated, latency targets, data fidelity thresholds)?
- Who will be the operational owner of measurement and reporting once outcomes are being tracked (title/role)?
What Would Success Actually Feel Like — Beyond the Numbers
- Close your eyes and imagine 12 months after a successful deployment: what’s different in a typical care manager’s day?
- How would members' experiences change in ways that matter for retention or contracted performance guarantees?
- Which qualitative indicators would you use to prove to your board or payer that outcomes improved (e.g., fewer escalations, clinician satisfaction, audit readiness anecdotes)?
- What trade-offs would you tolerate to hit the target (for example: slower rollout, higher upfront cost, tighter clinical protocols)?
- What would make your team feel pride about the program—what non-financial win is equally persuasive?
How Do We Know Change Is Attributable — Picking the Right Window
- If we report a reduction in ED visits, what attribution window would your stakeholders consider credible (the period between intervention and measured impact)?
- How do you currently handle attribution when multiple interventions or community partners are involved?
- Are there contractual or regulatory windows (e.g., annual NCQA review cycles, state audits) that force a minimum or maximum attribution period?
- Would you be open to a mixed attribution model (short-term signal + longer-term trend) to balance quick wins and durable impact?
Data Reality Check — Can We Measure What We Promise?
- Which of these feeds are already live and reliable for your care teams today?
- For feeds that are delayed or missing, what is the typical lag or blocker (e.g., vendor contracts, provider footprint, technical mapping)?
- What level of data fidelity do you require to trust an outcome measure (e.g., member-level match rate, completeness threshold)?
- Which privacy, consent, or contract limitations could restrict how we use data for attribution or program measurement?
- Would running a short, focused pilot with a single high-acuity cohort to validate data and attribution be acceptable to your stakeholders?
Risks We Should Name Out Loud
- What are the three risks that keep you up at night about a technology-led care management program aimed at reducing ED use?
- Which of those risks do you feel you have partial control over versus those you cannot control?
- If a key risk materializes (e.g., model misidentifies members), what rapid mitigation would you expect us to execute?
- How important is it for your team to see a risk‑reduction plan (roles, timelines, acceptance criteria) before you commit commercially?
Decision Signals & Next Steps — What Would Make This a ‘Yes’?
- What are the top three decision signals (e.g., specific pilot metrics, stakeholder approvals, security review pass) you need to say yes to a full deployment?
- Which of those signals is the single gating item that, if missing, would stop the project?
- Realistically, what is your target decision date for committing to a pilot or contract?
- What support or artifacts would remove the last bit of hesitation (e.g., a week-long clinical workshop, a sample NCQA mapping, a data extract proof-of-concept)?
- Who else should we involve in the next conversation to move this forward, and what will they need to see?
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Solution Experience
Walk through how the platform delivers the target outcomes using the plan’s real scenarios, dataflows, and clinician workflows.
Experience Meetings
- Solution Experience: Current State & Consequence Alignment
- Solution Experience: Live Scenario Walkthrough (Customer Data)
- Solution Experience: Clinician Workflow Role‑Play & Adoption Validation
- Solution Experience: Dataflows, Integration Points & Security Proof
- Solution Experience: Outcomes Measurement, Acceptance Criteria & Mutual Confirmation
- Provide CIO with the security/compliance evidence required for internal approval.
- Prove the platform can produce the future state outcomes for concrete member scenarios.
- Tie every shown action to a specific consequence reduction agreed earlier.
- Collect customer validation or corrections in real time to refine configuration.
- List integration/data gaps requiring follow‑up with owners and timelines.
- Vendor: Produce a walkthrough summary mapping each scenario step to the agreed acceptance criteria.
- Customer IT: Confirm availability of live ADT and claims feeds for sandbox testing within timeline.
- Clinical Lead: Provide feedback on workflow suggestions and any protocol edits within 5 business days.
- Introductions & Adoption Objective
- Confirm workflows are intuitive for frontline clinicians and reduce documented time compared to current tools.
- Obtain explicit yes/no adoption signals and list required UX/configuration changes.
- Agree frontline‑led mitigations for adoption risks and initial training cadence.
- Vendor UX: Implement top 3 clinician requests in sandbox and deliver updated build for validation.
- Customer: Identify 2 pilot nurse super‑users and schedule their train‑the‑trainer session.
- Clinical Ops: Provide baseline documentation time metrics to measure post‑deployment improvement.
- Integration Overview & Objectives
- Agree an executable data integration plan with owners, timelines, and measurable integration tests.
- Welcome & Objectives
- Identify and assign mitigation actions for all identified data breakpoints.
- CIO: Provide sample SFTP/HL7/CSV endpoints, schemas, and test credentials to vendor.
- Vendor: Deliver an integration test plan with pass/fail criteria and schedule the first end‑to‑end run.
- Security Officer: Share required compliance artifacts and timeline for SOC/HIPAA review.
- Recap Proven Future State Elements
- Agree a measurable outcomes plan with baselines, metrics, attribution windows, and sign‑off owners.
- Set explicit numeric acceptance criteria that will govern deployment validation and commercial milestones.
- Receive stakeholder confirmation to move into Solution Scope and Mutual Commit stages or list required conditions.
- Vendor & Analytics Lead: Produce the outcomes measurement workbook with baselines and calculation methodology.
- Finance: Confirm PMPM targets and any shared‑savings considerations to include in commercial negotiations.
- Program Sponsor: Schedule the Solution Scope kickoff once acceptance criteria are signed.
- Have a single, signed‑off current state statement everyone agrees is accurate.
- Agree quantified consequences (PMPM, ED visits, audit exposure) tied to the problem.
- Define a one‑sentence operational future state that will guide the solution proof points.
- Confirm required sample data and records for the live solution walkthrough.
- Customer: Deliver ED utilization extract, 3 anonymized member records, and caseload sample within 3 business days.
- Vendor: Draft one‑sentence future state and circulate for stakeholder sign‑off.
- Project Lead: Schedule the Scenario Walkthrough meeting and invite operational users.
- Recap Objectives & Validation Criteria
- Readback: One‑Sentence Current State
- Role‑Play: Intake & Prioritization Flow
- Walkthrough: Member Scenario A (High‑Risk ED Use)
- Define Measurement Plan & Attribution Windows
- Map Dataflows with Customer Systems
- Consequence Quantification
- Demonstrate Data Matching & Attribution
- Set Acceptance Criteria & Gates
- Measure Time & Steps (Proof)
- Tie Steps Back to Consequence
- Identify Integration Breakpoints & Mitigations
- Validation Checkpoint
- Role‑Play: Care Plan Update and Documentation
- Define One‑Sentence Future State (Success Outcome)
- Risk Adjustment & Statistical Considerations
- Security & Compliance Walkthrough
- Feedback & Rapid Iteration
- Gap Mapping (Diagnosis)
- Decision & Next Commercial Steps
- Walkthrough: Member Scenario B (Care Transition Failure Mode)
- Validation & Confirmation
- Adoption Risks & Mitigations
- Integration Acceptance Tests
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Solution Scope
Define modules, configuration needs, integrations, clinical protocols, and measurable acceptance criteria.
Scope Configuration
- Ingest real-time ADT alerts
- Integrate claims feed and normalize data
- Connect provider EHRs via HL7/CCDA interfaces
- Deploy predictive risk stratification model
- Configure care manager workspace views and task lists
- Activate automated member outreach (IVR/SMS/secure message)
- Deploy SDOH screening forms and referral integration
- Implement transition-of-care task bundles and workflows
- Set up medication reconciliation data exchange
- Configure utilization management rules engine
- Deploy disease- and condition-specific care plan templates
- Provision mobile care manager app and user access
- Launch utilization and PMPM cost analytics dashboards
- Deliver role-based care manager training sessions
Scope Questions
Ingest real-time ADT alerts
- Do you currently receive ADT feeds from your provider network?
- Which ADT interface formats are available from your partners?
- How many distinct hospital or facility sources will send ADT events?
- What is the expected daily ADT event volume (approx.)?
- Which ADT event types do you need ingested and surfaced (select all that apply)?
- What are your latency requirements for ADT events to appear in the care manager workspace?
Integrate claims feed and normalize data
- Are claims feeds available as batch files, near‑real‑time streams, or both?
- Which claim formats do you support or expect (select all that apply)?
- Which claim-based fields must be normalized and available (e.g., paid amount, service dates, procedure codes)?
- What is the acceptable data lag for claims used in risk stratification and PMPM analytics?
- Who will own mapping/ETL for claims field normalization (plan IT, vendor, third-party integrator)?
- What acceptance criteria do you require for normalized claims (e.g., match rate threshold, field-level completeness)?
Connect provider EHRs via HL7/CCDA interfaces
- Which EHR vendors/systems must be connected?
- Which interface types are available or required from providers?
- How many distinct provider organizations/sites require integration?
- Which clinical documents or data elements must be ingested (e.g., progress notes, problem list, med list, lab results)?
- Do you have signed data sharing agreements or HIE participation that permits EHR ingestion?
- What testing and validation support will provider IT teams provide (test endpoints, sandbox data)?
Deploy predictive risk stratification model
- What outcome horizon should the model predict (select primary)?
- Which data sources should feed the model?
- What minimum model performance thresholds do you require (e.g., AUC, precision @ top decile)?
- How often should the model be retrained or recalibrated?
- Do you require explainability or feature-level reasoning for high-risk flags (for clinician review/audit)?
- What acceptance criteria must be met before model-driven tasks are enabled (e.g., pilot with N members, validation against known cohort)?
Configure care manager workspace views and task lists
- Which user roles must have tailored workspace views (select all that apply)?
- How should task lists be prioritized or grouped (risk score, ADT events, due date, custom tags)?
- What typical caseload size per user should workspace defaults support (for filtering and paging)?
- What specific data elements or widgets must be visible on the primary member card (e.g., meds, recent ADT, outstanding tasks)?
- Do you require role-based dashboards, audit logging, or supervisor escalation views?
- What acceptance criteria indicate the workspace is configured successfully (e.g., task completion rates, user satisfaction score)?
Activate automated member outreach (IVR/SMS/secure message)
- Which outreach channels do you want to enable initially?
- Do members need to opt-in for digital channels (SMS/secure message) and are opt-in lists available?
- Which languages must outreach support?
- Do you have existing templates/consent language and content for outreach, or require vendor-provided templates?
- Are there regulatory/consent requirements to consider (e.g., TCPA for SMS, state Medicaid restrictions)?
- What escalation rules should apply after automated outreach (e.g., escalation to RN within 24 hrs if no response)?
Deploy SDOH screening forms and referral integration
- Which SDOH screening tool(s) do you plan to use (select all that apply)?
- Where should completed screenings be stored or referenced (EHR, care platform, separate SDOH system)?
- Do you require closed‑loop referrals to community partners and status tracking?
- What referral partners and data exchange methods are available (API, secure email, vendor portal)?
- What KPIs should SDOH workflows drive or report (screening completion rate, referral closure rate)?
- What acceptance threshold do you expect for SDOH screening adoption in the pilot (e.g., 70% completion among targeted contacts)?
Implement transition-of-care task bundles and workflows
- Which transition scenarios must be covered by task bundles (select all that apply)?
- What core tasks should each bundle include (med reconciliation, 72-hr follow-up call, appointment scheduling)?
- What SLA/timing requirements apply (e.g., follow-up call within 24/48/72 hours)?
- Who owns each transition task (RN, social worker, care coordinator, delegated vendor)?
- Do you require auto‑triggering of bundles from ADT events or manual assignment?
- What success metrics will validate transition workflows (reduced readmission, completed reconciliations, appointment kept)?
Set up medication reconciliation data exchange
- Which medication sources must be reconciled (EHR med list, pharmacy claims, PDMP, patient-reported)?
- How frequently should reconciliation occur or be refreshed for a member?
- What matching or deduplication logic do you require (rule-based, fuzzy matching, provider review)?
- What workflow is expected when discrepancies are found (auto-update, flag to clinician, contact pharmacy)?
- What acceptance criteria indicate medication reconciliation is functioning (e.g., % reconciled within 72 hours)?
Configure utilization management rules engine
- What types of UM rules do you need to implement initially (prior authorization, concurrent review, retrospective review)?
- What data triggers should evaluate rules (claims, ADT events, clinical thresholds, lab values)?
- Who will author and approve business rules (plan medical director, UM team, vendor)?
- Do rules require multi-step approvals or automatic auto-approvals for low-risk actions?
- What audit and reporting capabilities are required for UM decisions (e.g., justification text, time stamps)?
- What acceptance testing will validate the rules engine before go-live (sample scenarios, pass/fail criteria)?
Deploy disease- and condition-specific care plan templates
- Which conditions should be prioritized for template deployment (select top 3)?
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Mutual Commit
Finalize commercial terms, confirm responsibilities, data access commitments, and audit/NCQA readiness milestones.
Agreement Modules
- Statement of Work (SOW)
- Master Services Agreement (MSA)
- Commercial Terms & Pricing Schedule
- Payment Schedule & Billing Terms
- Data Use & Access Agreement (DUA/DPA)
- Security & Compliance Attestation
- Audit & NCQA Readiness Commitment
- Integration & Data Feed Commitments
- Roles, Responsibilities & RACI
- Implementation Timeline & Go‑Live Plan
- Acceptance Criteria & Outcome Measurement Plan
- Training & Change Management Commitment
- Service Level Agreement (SLA)
- Change Order & Scope Adjustment Process
- Governance, Escalation & Steering Committee Charter
- Termination, Transition & Continuity Plan
- Legal & Procurement Final Sign‑offs
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Deployment
Operationalize rollout with readiness checks, enablement, and outcome validation.
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Pre-Deployment Readiness
Verify data feeds, integrations, hosting, security, and clinician adoption risks are addressed before execution.
Readiness Questions
Start with Your Story
- Tell us your role and the one-sentence reason you invited us to this conversation.
- How long have you been accountable for care management at this plan?
- Who are the key stakeholders we should be speaking with on this initiative (please list titles and their primary concern)?
- What single event or metric change most clearly triggered urgency right now (e.g., ED visits up 15%, upcoming NCQA audit, contract renewal)?
- If you could capture how this situation feels to you in three words, what would they be?
Are We Comfortable With 'Good Enough'?
- If nothing changes, what does 'good enough' look like for your care management program in 12 months—and who will bear the consequences?
- How has the 15% increase in avoidable ED visits translated into financial or contractual pressure for your team (examples, dollar estimates, or penalties)?
- Which quality or contractual thresholds are you most worried about missing if performance doesn’t improve?
- Who inside finance, legal, or executive leadership is actively asking about care management performance—how vocal are they and how often do they request updates?
- What would an unacceptable outcome look like to you—both operationally and politically—if we fail to reverse current trends?
Where the Day Really Goes
- Which single task consumes the most clinical time but produces the least measurable impact?
- On an average day, how many members does a nurse care manager actively manage (typical caseload)?
- What percentage of a care manager’s time is spent on direct member outreach versus documentation and coordination?
- Which workflows currently require manual cross-checking across multiple systems (give 1–3 concrete examples)?
- Can you describe a recent member case where the current workflow failed to prevent an avoidable ED visit—what happened and why?
What Keeps Your Clinicians Awake at Night?
- If a new platform doesn’t make your clinicians’ lives measurably easier within 30 days, would leadership consider stopping the rollout?
- What are the three most common frustrations nurses or care coordinators voice about your current tools or processes?
- Tell us about prior technology rollouts—what worked, what failed, and what you learned about clinician adoption?
- Which adoption levers have the most influence in your organization (e.g., incentives, protected time, clinical champions, mandatory training)?
- How do you measure clinician burden or burnout today (surveys, turnover, time-motion studies, other)?
What Success Actually Looks Like (Show Me the Money and the Metrics)
- If finance asked for one number to justify this investment in 12 months, what single metric would close the deal for you?
- What is your target for that metric (specific percentage or dollar amount) and what is today’s baseline?
- What attribution window do you consider fair for measuring impact (e.g., 30, 60, 90, 180 days) for avoidable ED and PMPM improvements?
- Beyond the headline metric, what operational indicators will tell you a rollout is on track (examples: outreach completion rate, risk stratification precision, closed-loop referrals)?
- How confident are you in your current data and analytics to measure those outcomes reliably?
Data & Integration: Nightmare or Launchpad?
- Which integration, if delayed or inaccurate, is most likely to derail deployment?
- Which data standards and transfer methods are your systems currently able to support out-of-the-box (select all that apply)?
- Describe any legal, firewall, or vendor restrictions that typically slow down data sharing with third parties.
- Do you have sample datasets or a sandbox environment we can use for end-to-end testing, and if so, what’s the process to request access?
- What are your minimum acceptable data latency and completeness thresholds for real‑time alerts and claims ingestion?
Audit, Compliance, and NCQA — What’s at Stake?
- If an auditor requested evidence of care management impact today, what could you produce immediately?
- Have you had recent audit findings related to care management or documentation—if yes, what were the gaps called out?
- What artifacts does leadership expect us to deliver to support NCQA readiness (examples: protocol adherence logs, staff training records, closed-loop referrals)?
- Who in your organization is responsible for audit responses and NCQA evidence assembly (title/role)?
- What timeline do you have to demonstrate audit/NCQA readiness (e.g., next 3 months, 6 months, by contract renewal)?
What Would Make Us an Irreplaceable Partner?
- What would make you say, at the end of this project, 'this vendor saved our renewal'?
- What commercial or contractual flexibilities would be most important to you (pilot pricing, milestone payments, SLAs, risk-sharing)?
- What operational responsibilities must your team retain versus what you expect the vendor to own during deployment?
- Who are the decision-makers and approvers for contract sign-off and funding, and what cadence do they require for updates?
- If we proposed a phased pilot for a high‑acuity cohort, what success criteria would make you ready to scale?
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Deployment Enablement
Schedule tasks, train care teams, sequence phased rollout for high‑acuity cohorts, and assign operational owners.
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Validation Checklist
Verify acceptance criteria, run end‑to‑end tests with live data, and confirm outcome measurement baselines.
Validation Questions
Start: Who You Are and What Keeps You Up at Night
- Which best describes your role and primary responsibility for care management?
- What is your top strategic priority for your care management program this 12-month cycle?
- Which range best describes an average nurse care manager caseload today?
- How many members are covered under the care management program we’d be discussing?
- Which systems or tools are your care teams actively using today? (select all that apply)
- Describe one recent day-in-the-life moment that best captures the friction your care team faces (brief story)
Are You Losing Ground Without Realizing It?
- When you saw a 15% rise in avoidable ED visits, what did you most fear was silently failing in your program?
- Over what time period did this increase emerge, and how consistent is the trend across lines of business?
- Which member cohorts show the largest increase in avoidable ED use?
- Who internally first raised the alarm about the trend and what did they say was happening? (capture the narrative)
- How long have you tolerated these outcomes before treating it as an emergency?
What's Burning for Your Care Teams Right Now?
- If a nurse could wipe one task from their day, what would it be—and how would that extra time be used to prevent avoidable ED visits?
- Approximately how many minutes per day does a care manager spend on documentation vs. direct member outreach?
- Which manual tasks cause the most context-switching or missed follow-ups? (select up to 3)
- Tell us about a recent patient case where care team workload or tooling directly led to a missed intervention (what happened, impact)
- How do care managers describe their level of burnout or frustration on a typical day?
How Do You Define Success — And Where Might We Be Blind?
- If finance demands measurable PMPM savings within 12 months, what reduction feels realistic to you and why might that expectation miss the true value?
- Which success signals are most persuasive for your executive team? (select top 2)
- What baselines do you currently have for those signals, and how confident are you in their accuracy?
- What attribution window would you consider credible for showing impact on ED visits or PMPM (and why)?
- Who must sign off on success before you consider a pilot 'validated' (list roles and one requirement each)?
Where Does Data Break Down (And Who Owns the Fix)?
- Which single data gap causes the most missed interventions today?
- Which data sources are you able to ingest reliably today? (select all that apply)
- How often do data delays or mismatches create a demonstrable missed outreach opportunity?
- Who in your organization is responsible for resolving integration failures or data mapping issues?
- Describe a specific incident where a data gap led to an avoidable ED visit or audit exposure (what data, what went wrong)
If We Could Fix One Workflow Today, Which Would Move the Needle?
- Which single workflow change would free the most nursing time and reduce avoidable ED visits?
- For the workflow you chose, who is the primary owner today and who will own it after improvement?
- Outline the typical steps in that workflow and where failures most commonly occur (brief)
- Which patient cohort would you pilot this workflow on first?
- What immediate, measurable acceptance criteria would convince you the workflow is working?
Partnership Rules: What Would Truly De‑Risk This Rollout?
- What specific data access commitments would you need from a vendor to feel comfortable starting a pilot?
- Which legal or compliance constraints are immediate blockers (e.g., state PHI rules, data residency, consent)?
- What SLAs or uptime commitments would be non‑negotiable for critical feeds (ADT/claims)?
- How would you prefer governance to be structured during pilot and scale (roles, cadences)?
- What resources (FTE hours, technical support, clinical time) can you commit during the first 90 days?
What's the Real Roadblock to Change?
- When procurement conversations start, what single objection typically kills momentum?
- Who are the decisive stakeholders in an RFP or procurement vote, and what is each most worried about?
- What is your typical procurement timeline from RFP to contract signature?
- What internal change management or training capacity do you have to drive clinician adoption?
- Share an example where a technically viable solution failed because clinicians wouldn't change behavior—what happened and why?
How Will We Validate — What Counts as Proof?
- If the platform reduced ED visits by 10% for your pilot cohort, who needs to see which data to believe it's real?
- What formal end‑to‑end tests with live data do you require before accepting a pilot result?
- What sample size and time window would you consider statistically and operationally persuasive for pilot outcomes?
- Which dashboards or reports must be available at pilot close to support stakeholder sign‑off?
- What would be your minimum acceptance criteria for moving from pilot to phased rollout?
Commitment & Next Steps — Are You Ready to Try Something Different?
- Reflecting on this conversation, how ready is your organization to commit to a 90-day pilot focused on one high-acuity cohort?
- Who are the three people we should include in the pilot kickoff to avoid surprises, and what is each person's must-have outcome?
- Which patient cohort would you prefer to target for an initial pilot (name and approximate size)?
- What communication channel and cadence do you prefer for pilot updates?
- What is your single biggest remaining concern about starting a pilot with our platform?
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Success
Review outcomes vs. success signals, document learnings, and maintain a shared channel for issues and enhancements.
Success Reviews
- Outcome Validation Review
- Data Attribution & Forensics
- Clinical Effectiveness Retrospective
- Lessons Learned, Backlog Prioritization & Experiment Roadmap
- Governance, Shared Channel & Escalation Handoff
Issues & Enhancements
- Create prioritized backlog entries with acceptance criteria and estimated effort in the agreed tracker.
- Agree on a re-run schedule and acceptance criteria for corrected measurements.
- Provide ETL logs and a table-level completeness report for the review team within 48 hours.
- Implement agreed ETL or mapping fixes and reprocess affected windows, then deliver updated results.
- Document and version-control the final cohort definitions and measurement SQL/logic for audit readiness.
- One-Sentence Future State Reminder
- Surface top clinician-identified barriers and confirm which are platform vs operational (staffing/training) issues.
- Identify specific protocol or workflow changes likely to improve outcomes and pilot plans.
- Agree on a focused re-training plan or job-aid distribution for care teams.
- Document top 5 clinician pain points with supporting examples and proposed mitigation steps.
- Create and schedule targeted re-training sessions and job-aids for identified workflow changes.
- Set up a small pilot for any protocol adjustments and define success criteria and duration.
- Synthesis of Findings
- Produce a prioritized backlog of enhancements and experiments directly tied to outcome improvements.
- Define clear experiment plans with success criteria and owners for top-priority items.
- Agree on a cadence for status reporting and experiment evaluation.
- Welcome & Objective Alignment
- Assign experiment owners and schedule pilot start dates with measurement plans.
- Publish the improvement roadmap and circulate to stakeholders for transparency.
- Agree Shared Channel & Access Controls
- Create and provision a shared communication channel with clear access and channel taxonomy.
- Agree on SLA targets, severity levels, and escalation paths for issues impacting outcomes.
- Establish a recurring governance cadence and reporting pack for ongoing oversight.
- Create the shared channel, invite required stakeholders, and post the governance doc and channel usage guidelines.
- Publish the SLA definitions, severity matrix, and contact list for on-call rotations.
- Schedule recurring governance meetings (weekly ops, monthly exec) and attach the first reporting deliverable.
- Confirm whether each success signal is met, partially met, or unmet.
- Ensure stakeholders accept the measurement methodology and attribution logic or request a forensic review.
- Agree on a decision: sign-off, re-baseline, or initiate corrective action plan with owners and timelines.
- Document the immediate business consequences of outcome gaps for finance and compliance stakeholders.
- Produce and circulate a validated outcome report with charts, cohort definitions, and raw datasets for audit.
- If metrics are disputed, schedule a Data Attribution & Forensics meeting within 5 business days.
- Assign owners to corrective actions or re-baselining tasks with due dates and reporting expectations.
- Pre-work Review & Evidence Checklist
- Confirm integrity and completeness of each data feed used in outcome measurement.
- Validate or correct attribution windows and cohort logic to ensure fair measurement.
- Produce a remediation plan with owners and timelines for any identified data issues.
- Define Roles, Responsibilities & RACI
- Capture Improvement Opportunities
- Current State (One Sentence)
- Adoption & Usage Metrics
- Data Feed & ETL Verification
- Clinician Feedback & Pain Points
- Attribution Window & Cohort Logic
- SLA & Response Times
- Impact vs Effort Prioritization
- Outcome Dashboard Review
- Reporting Cadence & Dashboards
- Consequence & Business Impact
- Case Studies: Wins & Misses
- Define Experiments & Acceptance Criteria
- Reconciliation of Discrepancies
- Protocol Adherence & Adjustment Discussion
- Discrepancies & Hypotheses
- Statistical Significance & Baseline Stability
- Roadmap & Owner Assignment
- Change Request & Prioritization Process
- Training / Change Management Actions
- Final Sign-off & Communication Plan
- Remediation Plan for Data Issues