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Alma Health AI
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The Platform

Six modules. One closed loop. Built for your stack or ours.

A complete platform for healthcare plans and risk-bearing provider groups under value-based contracts, organized end-to-end from front-door triage through downstream analytics. AI surfaces; clinicians decide. Every recommendation logs source, version, and timestamp.

Each module deploys independently and adds immediate value. Connect to your existing tech stack — or adopt all six modules to close the loop end-to-end. Identification flows to documented action; nothing falls through the cracks.

Enrollment Front-door triage One-Click Clinical documentation Patient Engagement Post-visit follow-up Care Management TCM / CCM operations Referral Review Decision support Analytics / HCC Executive reporting
Enrollment
Front-door triage
One-Click
Clinical documentation
Patient Engagement
Post-visit follow-up
Care Management
TCM / CCM operations
Referral Review
Decision support
Analytics / HCC
Executive reporting
The six modules

From front door to downstream analytics.

Numbered by their position in the patient flow. Each module operates independently and integrates with existing infrastructure or Alma's other modules. Adopted together, they close the loop on identification, action, and documentation.

01
Enrollment
Front-door patient triage. 11-question structured intake with 10-factor risk stratification. Captures clinical, operational, and marketing data on every new patient. Stack: Next.js 15 + Prisma + PostgreSQL + Clerk auth. SyncOutbox table for EHR integration. HIPAA-conscious design.
02
One-Click
AI-assisted clinical documentation. Platform handles ambient listening, transcription, chart scrubbing, and clinical reasoning with Alma's Diagnostic Accuracy & Completeness — HCC suggestion, HEDIS suggestion, documentation auditor, audit risk mitigation.
03
Patient Engagement
Auto-triggered post-visit. SMS within 5 minutes of note closure. Multilingual LLM Q&A (100+ languages design goal). Visit summary, appointment + refill requests, risk scoring (30-day hospitalization, fall, nutrition). Identifies high-risk patients for Care Management enrollment.
04
Referral Review
AI-assisted referral decision support. Two inputs, a guideline-concordant recommendation in under ten seconds. 400+ conditions, 39 hardcoded patient-safety escalations, immutable audit record on every recommendation. Validated production data shows 40%+ reduction in total referrals, appropriately.
05
Care Management
TCM/CCM enrollment with cumulative-time billing capture. Work queue for high-risk patients identified across the platform — high-risk follow-ups from Patient Engagement, CM-qualifying referrals from Referral Review, and CM-eligible new patients from Enrollment. EHR-documented follow-through that One-Click is required to list at the next encounter.
06
Analytics / HCC
Downstream reporting across six measurement categories: patient acquisition, financial performance, utilization impact, coding accuracy, risk adjustment, and network management. Planned white-label partnership with Ensure Data Solutions (EDS); optionality preserved.
Shared intelligence layer

Three suggestion engines plus one decision engine.

Suggestion engines surface candidates for clinician review. The decision engine returns a guideline-concordant recommendation. The distinction matters at audit, in clinical workflow, and at the patient.

Suggestion engine
HCC
Suspects → close. Inside Diagnostic Accuracy & Completeness.
Suggestion engine
HEDIS
Gaps → close. Inside Diagnostic Accuracy & Completeness.
Suggestion engine
CM
Care Management workflows. Inside Care Management Platform.
Decision engine
RR
The only decision engine. Returns one of three recommendations: specialist-required, PCP-LED management, safety escalation.

See the platform in action.

A 30-minute walkthrough — Referral Review demo, Care Management workflow, and a discussion of how the closed-loop architecture fits your practice or plan.

Request a demo →