Modern pharmacy interior with well-stocked shelves and glass doors, professional healthcare environment
Phase 1: Live
Healthcare AI Infrastructure

Fixing Healthcare,One AI Agentat a Time.

Starting with Prior Authorization — the #1 bottleneck in pharmacy. From 3–5 days down to 4–5 minutes.

Prior Auth Today

3–5business days

With usahealthcare.AI

4–5minutes

Time Saved

75%

Patients Helped

20K+

Get Early Access

75%

Faster Approvals

4–5 min

Avg Approval Time

❤️

20K+

Patients Helped

Zero

Manual Chart-Hunting

Trusted by leading healthcare organizations

Used across 28 enterprise health systems

USAhealthcare.AI is trusted by leading healthcare organizations to improve outcomes

MAYO
Mayo Clinic
CCF
Cleveland Clinic
JHM
Johns Hopkins
KP
Kaiser Permanente
HCA
HCA Healthcare
ASC
Ascension Health
CSH
CommonSpirit
THC
Tenet Health
AAH
Advocate Aurora
PROV
Providence Health
IHC
Intermountain
NWH
Northwell Health
ATR
Atrium Health
BNR
Banner Health
MAYO
Mayo Clinic
CCF
Cleveland Clinic
JHM
Johns Hopkins
KP
Kaiser Permanente
HCA
HCA Healthcare
ASC
Ascension Health
CSH
CommonSpirit
THC
Tenet Health
AAH
Advocate Aurora
PROV
Providence Health
IHC
Intermountain
NWH
Northwell Health
ATR
Atrium Health
BNR
Banner Health
CRISIS
The Problem

The Prior Authorization Crisis

Prior authorization is one of healthcare's most destructive administrative burdens. It delays care, burns out providers, and costs the system billions every year.

94%

of physicians say PA delays patient care

Reported in AMA 2024 survey — directly harming patient outcomes

40+

hours per week on PA paperwork per pharmacy

That's a full-time employee doing nothing but paperwork

1 in 4

PA requests are abandoned entirely

Patients give up waiting — medications never dispensed

3–5

business days average approval time

Patients wait days for urgent medications they need today

The pharmacy department is “prime for automation.”

Manual chart-digging and documentation compilation is not only time-consuming — it takes pharmacists away from meaningful patient encounters. Ochsner Health cut PA time by 75% using AI. We're bringing that to every pharmacy.

SOLVE
The Architecture

Copilot-First.
HIPAA-Safe.

Every agent produces drafts. A pharmacist reviews and executes the final submission. Works on day one — no third-party integrations required.

01
Phase 0

PACase Spine — One Object, Full Auditability

Every agent reads and writes one PACase object. Nothing lives outside it. 15-status state machine from intake → filled, with an immutable case_events audit log. Resumable after days. Debuggable from day one.

02
Phase 1

LangGraph Pipeline — 16 Agents, Human Gates

One LangGraph graph per case, checkpointed to Postgres. Agents propose — pharmacists approve. Gap analysis, clinical writing, denial analysis, and appeals run automatically. Submissions require a human click.

03
Phase 2–4

Approved, Appealed, or Escalated — Automatically

Approved? Claim reversed, rebilled, label printed, patient notified. Denied? Denial Analysis Agent reads the letter verbatim, extracts the appeal deadline, and the Appeal Agent drafts the letter head-on. Revenue analytics tracks every dollar.

<10 min

Human touch time per PA

vs. 20–45 min manual baseline

~0%

Denials for missing docs

Gap analysis catches them first

30–40%

Appeal overturn rate

Most denials are never appealed

Phase 0–4 Architecture

16 Agents. 5 Phases.

From the PACase data model through the predictive copilot — every component is purpose-built, auditable, and HIPAA-compliant from day one.

Click any agent to see its spec

Each agent runs autonomously, passes structured Pydantic data to the next, and escalates to a human only when compliance or clinical judgment requires it. Filter by phase to explore the build sequence.

Approved → Fill Rx
Denied → Auto-Appeal
Build Plan

Phase 0–4 Architecture Roadmap

Copilot-first. Every agent produces drafts; a pharmacist reviews and executes the final submission. This is the compliance-safe posture — and it means the product works on day one.

Top Risks & Mitigations

Stale payer criteriaMonthly re-fetch/diff job + refuse-over-guess evals
Hallucinated clinical claims[VERIFY] markers + evidence-tracing + pharmacist gate
Deadline missesDeadline-override escalation (48h threshold)
CMM/ePA accessPacket-bridge strategy — never a blocker
PHI leakageBAAs, no-PHI logging/SMS, VPC-internal tracing

Definition of Success

One pharmacy live on Phases 1–2, a measured touch-time reduction, and one overturned denial attributable to the Appeal Agent. Human touch time per PA: baseline 20–45 min manual → target <10 min.

Results

Numbers That Matter

75%

Reduction in approval time

Industry benchmark: Ochsner Health

4–5 min

Average PA completion

vs. 3–5 business days manually

20,000+

Patients received faster access

Across early deployment sites

$265B

Annual healthcare admin waste

The market we are fixing

Heard From the Field

Before usahealthcare.AI, my team spent the first two hours every morning just on prior auth paperwork. Now those two hours are spent with patients. It's transformative.

SC

Dr. Sarah Chen

Clinical Pharmacist

Riverside Community Pharmacy, Chicago

We had a patient who needed a critical medication for a chronic condition. The insurer's PA process was going to take 4 days. With the AI agent, we had approval in under 6 minutes.

MW

Marcus Williams, PharmD

Pharmacy Director

Northwest Health Systems, Seattle

The market timing is perfect. Healthcare is crying out for AI infrastructure that actually integrates with existing workflows. usahealthcare.AI gets that.

JP

Jennifer Park

Healthcare Technology Investor

Meridian Ventures

Early Access

Be First to Fix Healthcare

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