Telehealth Document Automation

Developer-friendly clinical API integrations. Convert scanned clinical intake records, prescriptions, and history files into FHIR JSON in real-time.

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Current Challenges

Virtual care providers start consults without historical patient charts.
Manual ingestion workflows are too slow to support real-time telehealth scheduling.
Developers face high costs building custom OCR systems and terminology mappings.

The MedIngest Solution

REST APIs parse patient history uploads and return structured parameters.
Data extraction takes under 1.5 seconds, supporting instant online bookings.
Developer portal provides ready-to-use SDKs and sandbox environments.

Integration Workflow

Our automated ingestion workflows interface natively with your existing EHR and file networks.

API Document Post

Scanned files are posted directly to our REST API endpoints.

Vision-AI Extraction

AI parses values and maps drug names and codes to RxNorm/LOINC.

Interoperable Output

Valid FHIR JSON resources are returned directly to the application database.

Proven Return on Investment

< 1.5s

Processing Latency

Average duration to parse a document and return FHIR JSON.

90%

Chart Availability

Increase in patient chart availability during telehealth consults.

1 Wk

Dev Integration

Average timeline to integrate the MedIngest API into custom apps.

Customer Outcomes & Success Metrics

Immediate Context

Provides virtual providers with structured patient medical history before the call.

API Integration

Clean JSON formats make database writing and UI rendering simple.

FHIR Interoperability

Direct mapping to standard US Core HL7 FHIR database objects.

Ready to Accelerate Your Workflows?

Schedule a technical demonstration with our healthcare integration architects to evaluate your ingestion setups.

Request a Demo