The healthcare operating model
One health economy.
Connected decisions.
People, coverage, care, therapy, transactions, evidence, capital, and authority move through different institutions. The operating model has to connect them.
One person and episode, across ten operating stages
- Need
- Coverage
- Access
- Care
- Therapy
- Transaction
- Evidence
- Financing
- Capacity
- Next decision
Identity, consent, clinical state, economic state, workflow position, provenance
Regulation, benefits, contracts, clinical guidance, organizational rules
Route tasks, transactions, therapy access, communications and operating work
Decision rights, permitted AI action, stop conditions, exceptions and escalation
Safety, outcomes, access, equity, burden, drift, economics; expand, change or stop
System architecture / the whole health economy
One care journey. Four kinds of accountability.
I use this model to locate where a strategy depends on an institution that does not share its incentives, capacity or authority. That dependency determines the next choice: fund a capability, change a contract, develop a partner or reduce the scope. The system map is useful only when it changes that allocation.
Person and episode
Need to outcome to next needIdentity, consent, coverage, navigation, care, therapy, recovery, and follow-through remain one longitudinal thread even when organizations and settings change.
Value and risk
Financing to contract to reinvestmentPremiums, public funding, benefits, contracts, reimbursement, product spend, operating burden, and capital allocation determine what the system can sustain.
Context and evidence
Source to action to learningClinical, pharmacy, claims, operational, and patient-generated data must carry provenance, purpose, freshness, and outcome evidence across every handoff.
Authority and accountability
Policy to permission to interventionRegulators, sponsors, payers, clinicians, pharmacists, operators, patients, and AI systems need explicit decision rights, thresholds, escalation, and auditability.
Where handoffs fail
Critical interface
What must transfer
What can go wrong
Coverage to Access
Eligibility, attribution, benefit, and authorization
A covered service is not necessarily an available service.
Access to Care
Navigation, referral, scheduling, capacity, and trust
Demand, geography, network status, and workflow rarely align on their own.
Care to Therapy
Diagnosis, order, formulary, dispensing, monitoring, and adherence
Clinical intent can fail at affordability, supply, authorization, or follow-through.
Care + therapy to Transaction
Documentation, coding, claim, remittance, and reconciliation
Care delivered and evidence accepted for reimbursement are separate events.
Transaction to Evidence
Utilization, outcomes, cost, burden, quality, and equity
Activity can be measured precisely while value remains unresolved.
Evidence to Financing + capacity
Contracting, procurement, investment, network, and workforce decisions
Evidence only matters when it changes an allocation or operating decision.
Next decision to Need
Learning, prevention, outreach, benefit change, and system redesign
A health system is not closed until evidence changes what happens next.
The full architecture: 10 domains, 5 controls
The invariant / one person and episode
Next decision returns to need- 01Need
- 02Coverage
- 03Access
- 04Care
- 05Therapy
- 06Transaction
- 07Evidence
- 08Financing
- 09Capacity
- 10Next decision
Where10 health-system domainsThe terrain in which care, risk, data, and value exist.
How5 control planesThe rules by which context becomes governed action.
Travel6 decision chaptersThe operating path from a signal to a leadership decision.
People and populations
Patients, members, caregivers, communities, public health, and the social conditions that shape need and access.
From isolated encounters to longitudinal health trajectories with consent, continuity, and accountable follow-through.
Coverage, benefit, and risk
Medicare, Medicaid, commercial plans, employers, states, value-based contracts, benefit design, and risk allocation.
From paying for activity to making affordability, access, outcomes, and total cost visible in the same operating model.
Access and network
Eligibility, attribution, directories, navigation, referral, scheduling, authorization, and provider capacity.
From fragmented entry points to demand-and-capacity orchestration across settings, service lines, and populations.
Care delivery
Primary, specialty, acute, behavioral, post-acute, home, virtual, community, and longitudinal care teams.
From episodic handoffs to coordinated pathways with explicit ownership, exceptions, and escalation.
Pharmacy, therapeutics, and diagnostics
Pharma, biotech, devices, labs, imaging, PBMs, pharmacies, formularies, medication access, and adherence.
From a parallel product channel to an integrated medical-pharmacy-therapy loop tied to evidence and patient outcomes.
Transactions and revenue
Coding, claims, prior authorization, remittance, denials, RCM, payment integrity, and program integrity.
From retrospective repair to pre-service intelligence, cleaner transactions, and shared exception resolution.
Data, identity, and interoperability
EHRs, HIEs, FHIR APIs, TEFCA exchange, patient identity, consent, devices, real-world data, and provenance.
Carry the source, freshness, purpose and permissions with the data so receiving teams can determine how to use it.
Intelligence and orchestration
Rules, analytics, models, agents, applications, workflow automation, marketing, RevOps, and operational control planes.
From passive dashboards and copilots to bounded action that can route work, use tools, stop, and escalate.
Governance and human authority
Clinical safety, privacy, security, compliance, quality, equity, decision rights, auditability, and accountability.
From a human-in-the-loop label to designed authority: time to judge, power to intervene, and reversible controls.
Evidence, learning, and capital
Outcomes, real-world performance, evaluation, drift, health economics, procurement, investment, and value realization.
From launch metrics to a learning system that reconciles patient impact, operating burden, financial value, and the next allocation decision.
This is a diagnostic model for the health system. The linked work distinguishes reported operating experience from proposed architecture and broader analysis.