Interactive Demo
Live Demo: HL7 to Outcomes
See how meddataflow turns raw HL7 into readable insights and ready‑to‑deliver data.
Live Demo Controls
Step 1 of 4
Step 1
Ingest & Parse
Receive an HL7 feed and extract key fields for use in workflows.
Step 2
Translate to English
Make the message understandable for analysts and clinicians.
Step 3
Transform to CSV
Create a custom CSV row using mapped fields (e.g., PID, MSH).
Step 4
Deliver to Destination
Route to cloud storage, analytics destination, APIs, or secure email.
Choose Message Type
ADT^A01 - Patient Admission
MSH|^~&|EPIC|HOSPITAL|RECEIVING_APP|RECEIVING_FACILITY|20241201120000||ADT^A01|MSG123456|P|2.5 EVN||202412011200|||^SMITH^JANE||| PID|1||PAT123456^^^MR||DOE^JOHN^MICHAEL||19850615|M||C|123 MAIN ST^^ANYTOWN^NY^12345||(555)123-4567|||S||PAT123456|||||||| NK1|1|DOE^JANE|SPO|123 MAIN ST^^ANYTOWN^NY^12345|(555)123-4567 PV1|1|I|ICU^101^A|||^ATTENDING^DOCTOR|||MED|||A||PAT123456|^ATTENDING^DOCTOR||1|19
Transformed Output
- Patient John Michael Doe (DOE^JOHN^MICHAEL) was admitted to the ICU.
- Patient ID: PAT123456, DOB: 06/15/1985, Gender: Male.
- Address: 123 Main St, Anytown, NY 12345, Phone: (555) 123-4567.
- Emergency contact: Jane Doe (Spouse) at same address and phone.
- Attending physician assigned, admission processed at 12:00 PM.
Processing Pipeline
- 1Parse & Validate HL7Extract segments (MSH, PID, PV1) and validate message structureProcessing ADT^A01 - Patient Admission...
- 2Translate to EnglishConvert clinical codes to human-readable descriptions
- 3Transform Data FormatMap fields to target format (CSV, JSON, FHIR)
- 4Deliver to DestinationRoute to APIs, cloud storage, or analytics platforms
Processing Speed
< 100ms
Security
HIPAA Compliant
Reliability
99.9% Uptime
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