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Watch HL7 Transform into Actionable Data
See how meddataflow processes real healthcare messages in real-time. From raw HL7 to English, CSV, JSON, and FHIR — all in milliseconds.
Processing Pipeline
Step 1 of 5
99.9% Success
Step 1
Receive
Message arrives via HL7/MLLP, API, or file upload. Auto-detect encoding and format.
Step 2
Parse & Validate
Extract segments, validate schema against HL7 v2.3-v2.8 standards. Check required fields.
Step 3
AI Translation
Convert clinical codes to human-readable English using our AI engine. Generate summaries.
Step 4
Transform
Map fields to target formats: CSV, JSON, FHIR R4. Apply custom business rules and enrichment.
Step 5
Deliver
Route to configured endpoints: APIs, databases, cloud storage, FHIR servers, or email.
Choose Message Type
Try different healthcare message formats
ADT^A01 - Patient Admission
Source Message
MSH
Header
PID
Patient
PV1
Visit
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
Multi-format conversion
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.
Real-Time Performance Metrics
< 100ms
Processing Speed
99.9%
Success Rate
HIPAA
Compliant
24/7
Monitoring
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