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Alma Health AI

Reduces specialty referrals 40%, appropriately.

>88% clinician concordance. Guideline-concordant. Audit-tagged.

A guideline-concordant recommendation on every referral. A cited primary clinical guideline on every recommendation. An audit-tagged recommendation record on every call.

The Interface

What your coordinators see.

app.almahealthai.com / referral-review / new
Referral Review · New recommendation

New referral recommendation

Enter the requested specialty and clinical indication. The engine returns a guideline-concordant recommendation in under ten seconds.

Specialty Requested
Cardiology
Indication / Chief Complaint
Uncomplicated HTN, well-controlled on lisinopril 10mg, BP 128/78 at last visit
PCP-LED Management
Manage in primary care — specialist referral not indicated

Well-controlled essential hypertension on monotherapy meets ACC/AHA criteria for primary care management. Consider specialist consultation if BP becomes resistant (≥3 medications) or evidence of secondary causes emerges.

Guideline Source
ACC/AHA 2017 HTN Guideline
Engine Version
v2.0.0 · CBS rev. 1142
Recommendation ID
DC-2026-04-29-7B3F
Three safety layers

Three layers. The tool never acts alone.

01

Hardcoded Safety Escalations

39 non-overridable escalations fire before any other engine logic. Cannot be bypassed by any user — including administrators. Categories: Urgent, Escalate, Emergent, Specialist Required. The boundary comes from clinical society guidelines (ACC/AHA, GOLD, ADA) — not from the tool.

02

Clinician Override

PCP judgment always supersedes the engine. Override available for any result except the 39 hardcoded safety escalations. Every override requires a documented reason. The tool never acts alone.

03

Versioned Audit Trail

Every recommendation timestamped, audit-tagged, and bound to engine version and guideline source. Immutable record per referral. Closes failure-to-diagnose documentation gaps (Studdert et al., NEJM 2006).

39 non-overridable escalations, by category.

Hardcoded. Fire before all other engine logic. Cannot be bypassed by any user.

AU — Urgent
6

Routes to CMO. Outpatient vs. ED decision.

AE — Escalate
9

Routes to CMO. May need inpatient.

ET — Emergent
13

Immediate transfer. No delay.

AAS — Specialist Req.
11

Approved — specialist referral required.

Every fire is timestamped and audit-tagged (AU_URGENT / AE_ESCALATE / ET_EMERGENT / AAS). Immutable record per referral.

Capabilities

What the engine actually does.

Not a black box. Every claim below maps to a verifiable piece of the production system, available for code review under NDA.

01 · Coverage

400+ clinical conditions

Across 40 specialty matrices spanning cardiology, endocrinology, GI, neurology, dermatology, orthopedics, urology, ENT, pulmonology, and twenty more. Each condition has guideline-concordant routing logic and a cited primary source.

400+ verified conditions · 40 specialty matrices
02 · Language

2,250+ aliases & abbreviations

Coordinators type how they think — "diabetis," "atrial fib," "bad back," "fluttering heart," "high BP that won't come down." The engine handles the messy reality of real referral text.

2,250+ aliases
03 · Safety

39 hardcoded safety escalations

Cauda equina, ACS, hypertensive emergency, suspected stroke. These rules fire before any other engine logic and cannot be bypassed by any user — including administrators. Patient safety is hardcoded, not configurable.

39 non-overridable rules · 309 clinical thresholds
04 · Audit

Immutable recommendation records

Every recommendation is logged with engine version, guideline version, cited source, timestamp, and recommendation ID. Append-only via Postgres triggers. Field-level diff tracking. Exportable for plan audits and CMS data validation. The Referral Review Engine is the entry point to closed-loop accountability — every recommendation logged, every CM-qualifying referral routed onward.

Append-only · field-level diffs · exportable
05 · Network

Preferred-network integration

Optional integration with your network configuration. Engine reports both appropriate-referral rate and out-of-network leakage rate. Routing logic respects in-network preferences while preserving guideline concordance.

leakage tracking · network-aware routing
06 · Clinician review

Board-certified review of edge cases

Beyond the 39 hardcoded safety rules, board-certified clinicians review flagged recommendations and edge cases on a structured cadence. The engine surfaces; clinicians decide. The clinical voice in the loop is real, not theoretical.

structured review cadence · edge-case escalation
The cognitive-load problem

The cockpit checklist — not an autopilot.

Surgical checklists reduced mortality 47%. Not by replacing surgeons — by catching what cognitive load causes them to miss. (Haynes et al., NEJM 2009.)

The gap is cognitive load, not negligence. A PCP managing 2,000+ patients cannot hold 10,000 guideline recommendations in memory. ~45% of recommended care goes undelivered. (McGlynn et al., NEJM 2003.)

The engine provides the starting point. Clinical reasoning provides the endpoint. Complementary — not competing.

What this replaces

Replaces seven screens with one.

A clinician matching the engine's logic by hand needs UpToDate, Lexicomp, five society guideline databases (ACC/AHA, ATS/CHEST, ACR, ADA, USPSTF), and the EHR — across three applications and seven screens. The engine collapses that into a single recommendation surface with the guideline cited inline.

Step
Without Alma
With Alma
Guideline lookup
UpToDate · ~5 min
Select condition · 30 sec
Cross-reference society guidelines
Second source · ~3 min
Guideline + drug class + labs on screen
Drug dose lookup
Lexicomp / formulary · ~2 min
Labs needed: rendered as checklist
EHR check on prior workup
Toggle · ~3 min
Safety alerts: built into the recommendation
Referral note
From memory · ~2 min
Action sheet · 1 click
Total per referral
12–15 min — if done at all
3–4 min — every time, every PCP

The engine isn't an added step. It replaces the steps clinicians already do — badly, inconsistently, or not at all. ~45% of recommended care doesn't get delivered when clinicians work from memory alone (McGlynn et al., NEJM 2003). The "cumbersome" tool prevents the errors that happen when clinicians wing it.

The cost of memory-based routing

What happens when clinicians skip the lookup.

~45%

of recommended care not delivered to patients

McGlynn et al., NEJM 2003
~50%

of referrals lack adequate clinical information

Mehrotra et al., Milbank Q 2011
56%

of non-adherence from lack of awareness

Cabana et al., JAMA 1999
46%

of guideline failures from access barriers

Lugtenberg et al., BMC HSR 2009

The "cumbersome" tool prevents the errors that happen when clinicians wing it.

Operational analytics

Five KPIs — engine-native, audit-ready.

Every recommendation the engine produces feeds five operational metrics, available per PCP, per coordinator, per site, per specialty. Surfaces clinical and operational outliers — variance across PCPs, coordinator training gaps, specialty utilization anomalies, and aggregated community-health signals.

01 — Recommendation Mix

Approved / PCP-LED / Inappropriate / Safety-escalated

Recommendation mix per PCP, per site, per specialty. Identifies high-leakage specialties and PCPs whose patterns differ materially from peers.

02 — Total Referrals Reduced, Appropriately

Pre-submission, by specialty and condition

Captured before the referral leaves the building. Drives the cost-avoidance line in the financial case.

03 — PCP Override Rate

With documented reason · variance across PCPs

Override exceeds 15% on any condition → pathway is revised. The system adapts to clinicians, not the other way around. >88% clinician concordance.

04 — Safety Escalations Fired

39 hardcoded pathways · non-overridable

Zero missed safety escalations observed in production to date. Independent review of the safety-rule layer is the cleanest item to validate first.

05 — Modeled Cost Avoided

Engine output × literature-anchored $ / episode

40% total-avoided rate (validated production data) × $1,200 (all-in) per specialist episode (peer-reviewed eConsult anchor) yields ~$19,200 per PCP per month modeled. The full decomposed methodology — including imaging and ancillary categories — is on the For Plans & Providers page.

Aggregated to a community-health signal

Aggregated referral patterns indicate which conditions and specialties are most utilized in a given geography — a community-health signal usable by public health departments and county health systems to identify specialty-access gaps and emerging condition burden.

Regulatory framing

Same regulatory category as UpToDate.

A clinical reference tool. Recommends. Does not prescribe, order, or refer.

The PCP's independent clinical judgment remains the standard of care.

The audit trail documents the recommendation and the clinician's decision — creating a defensible record.

Guideline-concordant documentation strengthens legal defensibility (Studdert et al., NEJM 2006).

We recommend general counsel review as part of pilot planning. Every client has.

EHR integration
eClinicalWorks athenahealth NextGen Allscripts Greenway Veradigm Epic Cerner / Oracle Health Meditech
Drop-in integration for ambulatory EHRs.
Technical specifications

The numbers behind the engine.

Clinical conditions covered
400+ verified entries
Specialty matrices
40 specialties with distinct routing logic
Workup-verification gates
312 conditions with structured workup verification — required labs, imaging, or evaluations checked before the engine returns a recommendation
Searchable terms
2,250+ aliases plus canonical forms
Safety escalations
39 hardcoded · non-overridable · audited per recommendation
Clinical thresholds
309 numeric and categorical decision points
Decision latency
Sub-10-second response in production batch mode
Integration
FHIR R4 · CSV · REST API · drop-in for eClinicalWorks, Athena, NextGen
Audit log
Append-only · Postgres triggers · field-level diffs · exportable
Infrastructure
SOC 2 Type II–attested via Supabase + Vercel

See the engine on a sample of your data.

A 30-minute demo. We'll walk through the recommendation flow, the audit trail, the override workflow, and the safety escalations — using a sample of your referral pipeline.

Request a demo →