One Healthcare API for payors & providers — without vendor lock-in.
For payors and providers integrating with 9+ EHRs, 4 clearinghouses, and 3,500+ payers — without vendor lock-in.
AI Healthcare API lets health systems, digital health vendors, and payors unify patient, claims, and clinical data across EHRs/PMS/clearinghouses in days (not months), so you ship AI and RCM automation faster, cheaper, and safer.
Launch in days • Cut integration timelines by 80–90% • Reduce denials by up to 30% • Improve DSO by 8–12 days
The Problem
You're stuck with fragmented EHR integrations, slow, brittle HL7/X12 plumbing, and manual swivel-chair ops. It costs months of integration time, 7–12% revenue leakage from eligibility/claims errors, and constant security risk.
The Simple Way
QuickIntell AI Healthcare API abstracts every EHR, PMS, and payor into a single, secure FHIR-first API with smart adapters, so you exchange data in real-time and automate HCC, risk, scribing, and RCM workflows—at scale.
Benefits
Transform your healthcare data integration with an API that delivers measurable results from day one.
Launch in days
So you can cut integration timelines by 80–90% and hit market windows.
Fewer denials, faster cash
So you can reduce eligibility/coding denials by up to 30% and improve DSO by 8–12 days.
Operate securely
So you can pass vendor risk assessments with HIPAA + SOC2 controls and full audit trails.
Purpose-built endpoints for HCC capture and MA submission
Keep the healthcare API route anchored in risk adjustment with model selection, RAF calculation, submission packaging, and recapture workflows.
HCC v22/v24/v28
Choose the CMS-HCC model version by payment year and apply hierarchy, age, sex, and segment rules consistently.
RAPS/EDPS
Generate submission-ready encounter data outputs with traceable patient, diagnosis, reviewer, and source details.
Crosswalk Viewer
Inspect ICD-10 to HCC mappings, compare model versions, and trace why a code captured or dropped.
Recapture Gaps
Surface prior-year HCCs missing this year and prioritize outreach by RAF and revenue impact.
How It Works
Get started with AI Healthcare API in four simple steps
Connect
Point to Epic/Cerner/eCW/Athena/OpenEMR, clearinghouses, and payors; add credentials or OAuth; map orgs/locations.
Configure
Choose data scopes (PHI minimization), set event triggers (admit/encounter/claim), and enable transformations (HL7⇆FHIR, X12⇆JSON).
Run
Stream ADT/ORU/MDM, pull FHIR R4/R5 resources, post X12 270/271, 276/277, 835/837, and push notes/codes back to the source.
Measure
Watch latency, throughput, and error rates; export compliance logs and per-endpoint SLAs to your SIEM.
A fallback ladder for every healthcare data source
QuickIntell keeps the same integration surface as sources move from API-first connections to assisted automation and temporary file exchange.
FHIR + REST
Start with FHIR R4 endpoints and REST credentials when the source system exposes a supported healthcare API.
Custom REST adapter
Normalize proprietary vendor APIs behind the same contracts when FHIR is not available.
Stagehand portal RPA
Automate legacy EHR and payer portals when there is no reliable API path.
Agent Builder
Configure organization-specific portal or lab flows without waiting on a vendor roadmap.
Manual upload
Use CSV, 837, and 835 uploads as the onboarding fallback while a stronger connection is built.
FHIR + REST -> custom REST adapter -> Stagehand portal RPA -> Agent Builder -> manual upload, with no re-implementation when a source graduates to a stronger tier.
Move from observe to approve to automate
The orchestrator governs 20 automation points across scheduling, coding, claims, payment, appeals, and EHR write-back with daily, dollar, and confidence-floor limits.
NOTIFY_ONLY -> SEMI_AUTOMATIC -> AUTOMATIC
NOTIFY_ONLY
Log what the automation would do while teams compare decisions against current workflows.
SEMI_AUTOMATIC
Run the automation, then route high-stakes actions to an approval queue.
AUTOMATIC
Execute trusted workflows without a human gate once approval rates are consistent.
Guardrails
- Daily limits cap execution count per automation point.
- Dollar limits gate actions that move money or approve spend.
- Confidence-floor limits route low-confidence AI decisions to humans.
- Circuit breakers pause repeated failures before they cascade.
How we compare
QuickIntell pairs EHR, clearinghouse, and payor connectivity with managed automation controls for teams evaluating healthcare data platforms.
Compare against
Differentiators
- RPA fallback for legacy portals when an API is blocked or incomplete.
- Pipeline Orchestration approval gates before high-stakes automations run.
Trusted by Healthcare Leaders
See how teams are transforming their healthcare data integration
"We unified three EHRs and automated HCC capture in 6 weeks. RAF accuracy increased 11%, denials decreased 23%, and we closed month-end 4 days faster."
VP RCM at multi-state ACO (5,200 MA lives)
Identity withheld at customer request
Ship production-grade EHR + X12 integrations in <30 days with audit-ready logs - guaranteed or month 1 free.
Integrations
Works with the systems you already use—and grows every month
EHRs & PMS
Clearinghouses
Payors
What It Enables
AI Scribe
Pull encounters, write SOAP/H&P, POST notes back to chart.
HCC & Risk
Read problems/meds/labs, surface suspected conditions, write HCCs/RAF.
Care Gaps
Subscribe to ADT/lab events, trigger outreach/voice bots automatically.
Feature Groups
Everything you need to unify and automate your healthcare data workflows
Automate
- Event-driven webhooks & queues (encounter-created, claim-paid, auth-approved) for hands-free workflows.
- On-the-fly transforms (HL7 v2 ↔︎ FHIR, CCD/C-CDA, X12 ↔︎ JSON) with version pinning.
Collaborate
- Shared workspaces for vendors, providers, and payors with scoped API keys.
- Data contracts & schema validation so teams build against stable, testable models.
Control
- Role-based access (RBAC/ABAC), SSO/MFA, IP allowlists, PHI tokenization, object-level ACLs.
- Field-level redaction & consent enforcement (purpose of use, break-glass with audit).
Report
- Latency, success, and throughput dashboards by endpoint/integration.
- Compliance reports (access logs, data lineage, BAAs, HIPAA/SOC2 control evidence exports).
Security & Compliance
Enterprise-grade security built for healthcare data protection
Encryption
- TLS 1.2+ in transit; AES-256 at rest
- FPE/tokenization for sensitive fields
- Optional customer-managed keys
Identity
- SSO (Okta/Azure AD/Google), MFA, SCIM
- Least-privilege RBAC/ABAC
Compliance
- HIPAA (BAA), SOC 2 Type II controls
- Audit trails, immutable logs
- Vendor risk package
Operations
- VPC isolation, WAF, IDS/IPS
- Disaster recovery (RPO 15m, RTO 1h)
Pricing
Choose the plan that fits your organization's needs. All plans include HIPAA & SOC2 compliance.
For single-clinic pilots & startups
- Up to 3 connections, 250k API calls/mo, shared VPC
- Webhooks, transformations, dashboards
- Email support, sandbox & sample data
For multi-site groups & digital health vendors
- Up to 25 connections, 2M API calls/mo, dedicated VPC
- X12 pack (270/271/276/277/835/837), priority scaling
- SSO/MFA, advanced RBAC, audit exports, staging + prod
For payors, ACOs, IDNs, platform builders
- Unlimited connections, volume-tiered API, multi-region HA
- Private networking (VPN/Direct Connect), PHI tokenization, BYOK/KMS
- 99.99% uptime SLA, named TAM, compliance evidence package
Add-ons: SMART on FHIR app hosting, historical data backfill, custom adapter development. All plans HIPAA & SOC2; volume discounts available.
Frequently Asked Questions
Everything you need to know about AI Healthcare API
Typical pilots connect to 1–2 EHRs in 2–4 weeks; many teams ship a first workflow in <10 days using our sandbox.
Ready to unify your healthcare data and automate RCM end-to-end?
Join 120+ teams already using AI Healthcare API to ship faster, reduce denials, and operate securely.