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The Three Clocks Model:
Trajectory-Based Care Across a Lifetime

A four-layer architecture for reorganizing American healthcare around longitudinal health trajectories, enabled by AI co-intelligence, remote monitoring, and asynchronous care — viewed through the lens of a single patient's life.
Clock 1 · Identity
Clock 2 · Stability
Clock 3 · Action
Layer 4 · Learning
AI
Care Team
Patient
Foundation
0 — 25 years
Genetics, early life, family history, social determinants establish baseline trajectory
Active Health
25 — 50 years
Prevention, risk detection, lifestyle choices, behavioral patterns shape long-term trajectory
Chronic Onset
50 — 65 years
Chronic conditions emerge, trajectory management intensifies, care coordination grows
Medicare Transition
65 — 80 years
Multi-condition management, goal alignment, functional preservation, caregiver integration
End-of-Life Trajectory
80+ years
Quality-focused care, goal realignment, comfort, dignity, progressive de-escalation
Injury DM2 Dx Hospitalization CHF Dx Goal Reset Comfort Focus PATIENT TRAJECTORY ── optimal ── actual
YEARS → LIFETIME
Clock 1
Longitudinal Health Identity — who this person is, where they're headed, what matters to them
Maintained as the Trajectory Record
Genetics & epigenetics
Family history encoding
ACEs & early life factors
Demographics, SDOH baseline
Initial risk envelope
AI Synthesizes
Behavioral patterns form
Preventive care status
Wearable & consumer data
Patient life goals captured
Risk trajectory calibrates
AI Maintains Patient Shapes
Multi-domain trajectory active
Disease staging encoded
Treatment response history
Episode residue integrated
Constraint model deepens
AI Models Clinician Authors
Goal realignment cycles
Functional trajectory trending
Advance directives active
Caregiver context encoded
End-of-life domain initiates
Clinician + Patient AI Projects
Comfort-focused goals primary
POLST / directives govern
Quality-of-life optimization
Legacy & dignity priorities
Trajectory completion context
Patient + Family Team Aligns
Information Flows
↓ Baselines, thresholds, goal context, risk weights
↑ Episode residue, treatment response, social destabilization, trajectory updates
DAYS → MONTHS
Clock 2
Destabilization Management — chronic care, extended episodes, coordination, drift detection
Maintained as the Coordination Record
Pediatric well-child protocols
Vaccination schedules
Developmental monitoring
Low intensity — mostly preventive
Team Leads
Screening & early detection
Behavioral drift monitoring
Pregnancy / surgical episodes
RPM for emerging risk
AI Monitors Team Acts
Chronic condition mgmt active
Protocol-driven DM2, HTN care
Hospitalization shepherding
Multi-provider coordination
Patient off coordination duty
AI + Protocols Clinician Exceptions
Multi-condition orchestration
Transition management (hospital → home)
Caregiver support & training
Objective shifts: function > numbers
De-escalation protocols engage
AI Orchestrates Team + Caregiver
Palliative trajectory mgmt
Symptom-focused protocols
Hospice coordination
Family support systems
Aggressive Tx de-escalated
Team + Family Patient Goals Govern
Information Flows
↓ Escalation signals, urgency context, pre-positioned information
↑ Discharge triggers, new diagnoses, care gaps, coordination needs
MINUTES → DAYS
Clock 3
Acute & Episodic Care — immediate needs, triage, clinical decisions, reactive coordination
Acute illness (ear infections, etc.)
Injury management
Immunization reactions
Episodic, visit-driven
Clinician Decides
Urgent care, sick visits
Async e-visits for low-acuity
Triage & channel routing
Context from Clock 1 begins
AI Triages Clinician Treats
Context-rich acute care
Clock 1 informs every encounter
Multi-channel delivery active
ED visits with trajectory context
AI Prepares Clinician Judges
Goal-informed acute decisions
Directives shape ED disposition
Specialist consults with context
Falls, decompensation episodes
Clinician + Goals AI Synthesizes
Comfort-aligned acute care
Goals prevent unwanted Tx
Symptom crisis management
Dignity-preserving response
Team Honors Goals Patient Autonomy
CONTINUOUS
Layer 4
Learning & Governance — outcomes measurement, algorithm calibration, equity, AI governance
Population baseline data
Cohort trajectory patterns
Equity baseline metrics
Prevention effectiveness
Risk model calibration
Early detection accuracy
Full learning loop active
Trajectory outcomes by cohort
Algorithm performance monitoring
Equity-disaggregated metrics
AI Learns Governance Oversees
End-of-life quality metrics
Goal-concordance measurement
Spending-per-trajectory analysis
Comfort care outcomes
Family experience metrics
System-wide learning export
Actor Roles Across the Model
🤖
AI Co-Intelligence
Clock 1: Synthesizes & maintains trajectory
Clock 2: Monitors, detects drift, routes
Clock 3: Prepares context, triages
Layer 4: Learns from outcomes continuously
👨‍⚕️
Care Team
Clock 1: Authors trajectory via clinical judgment
Clock 2: Handles exceptions beyond protocol
Clock 3: Diagnoses, treats, decides under uncertainty
Layer 4: Governs, calibrates, improves
🧑
Patient + Family
Clock 1: Owns goals, contributes life context
Clock 2: Freed from coordination burden
Clock 3: Seeks care; system routes appropriately
Engagement: Graduated tiers — proxy & passive supported
End-of-Life as Trajectory Gradient
Active Mgmt
Disease control, prevention, full intervention
Goal Alignment
Function > numbers, proactive conversations
De-escalation
Reduce Tx burden, quality of life primary
Comfort Focus
Symptom mgmt, dignity, family support
Key insight: Not a switch from "curative" to "palliative" — a continuous gradient governed by patient goals, functional trajectory, and disease burden. Clock 2's objective function shifts progressively. ~25% of Medicare spend occurs in last year of life — but most reflects chronic disease management, not futile intervention. The opportunity is better trajectory management over the last years, not the last weeks.
The Two Records
Trajectory Record · clock one. Who this person is, where their health is headed, what matters to them. Clinical state, goals, treatment response, social context, projected path. Slow, interpretive, genuinely hard — ontology, projection, goals modeling. Updated after episodes and goal conversations.

Coordination Record · clock two. What is open right now, who owns it, what turn it is on, what is overdue — across every service line and channel. Fast, operational, far more tractable. It is work-tracking that crosses organizational boundaries.

Conflating them is a reliable way to build the wrong thing. Most of the burden handed to families comes from the absence of the second. The outcome measure for both is completion: whether care was obtained, and whether the plan survived after the visit.
Competitive Landscape & Strategic Window
⚡
External Disruptors (RPM & tech-enabled chronic care entrants)
Building Clock 2 fragments — condition-specific RPM + intervention. Lack longitudinal context (Clock 1) and delivery system control. Fast but narrow.
🏢
Retail Health (CVS/Oak Street, Amazon, ChenMed)
High-touch MA primary care. Prove the economics but through human intensity, not AI-mediated trajectory management. Taking highest-value populations.
🏥
Integrated Delivery Systems
Have all raw ingredients: longitudinal data, delivery system, payment flexibility, organizational authority. Must overcome institutional knowledge debt. Window is narrowing.
📋
CMS ACCESS Model (2026)
10-year outcome-aligned payment for tech-enabled chronic care. Creates payment pathway for non-traditional entrants. Accelerates competitive clock for incumbents.
What Health Becomes
Ben Wilson · Trajectory-Based Care · The Three Clocks Model