For decades, healthcare systems have relied on structured messaging standards such as HL7 and, more recently, FHIR to keep EMRs up to date. ADT messages signal admissions and discharges. ORU messages deliver results. MDM messages transport documents.

This architecture made sense at a time when systems could only process information if it arrived perfectly structured. 
Fax never fit that model. It carried real-world healthcare information—notes, referrals, discharge summaries, consults—but arrived in an unstructured format. The only way to make it useful was human intervention. 

This blog explores how AI-powered cloud fax can reduce reliance on HL7 and FHIR interfaces for document-driven exchange by interpreting intent directly from fax content. 

Cloud fax + AI: From scanned pages to clinical intent 

When a fax arrives in a cloud fax environment enhanced with AI, it’s no longer treated as an opaque document. Instead, the system can interpret what the document represents and use that meaning to trigger the next step. 

Instead of relying on HL7 message triggers, AI can infer events directly from content. A faxed admission notice does not require an

ADT if the system already understands who the patient is, what happened, and when.

A faxed operative report does not require an MDM if the document is already classified, indexed, and linked to the correct patient record. 

Fax to EMR workflows without heavy HL7/FHIR interfaces 

Once interpreted, the AI layer passes clean, usable information into the EMR using lightweight, system-native methods. Documents are attached to charts, indexed correctly, routed to workflows—and in many cases used to populate structured fields—without the need for inbound HL7 or FHIR interfaces. 

This approach works because it removes the need for coordination between sending and receiving systems. The sending organization simply sends a fax, as it always has. The receiving organization benefits from automation, intelligence, and speed. 

Why interfaces are fragile for document-driven exchange 

Traditional interfaces are fragile. They require monitoring, testing, and constant maintenance. HL7 and FHIR interfaces depend on version alignment, interface engines, and coordination between multiple parties. When one system changes, others are affected. When interfaces fail, workflows stop. 

AI-driven cloud fax integration is resilient because it adapts to the information itself, not to rigid formats. Documents arrive exactly as they always have, but they can be understood before a human ever touches them. 

This represents a quiet but profound shift in healthcare interoperability—from messages to meaning. 

Where OpenText™ Fax Aviator AI fits 

OpenText Fax Aviator AI embodies this shift. It combines the universal reach of cloud fax with advanced AI that automatically interprets and routes documents. Fax Aviator AI reduces manual indexing, lowers interface dependency, and supports continuity of care without forcing healthcare organizations to re-engineer how they communicate.

To see how OpenText supports secure cloud fax for healthcare workflows, explore OpenText™ Core Fax.

Related reading 
For more on why fax persists—and how AI makes inbound faxes actionable—see Artificial intelligence as a driver of cloud fax innovation and system interoperability. This blog explains how cloud fax supports interoperability, while AI enables automation through classification, routing, and extraction. care without forcing the ecosystem into fragile standards-based alignment.

The post Cloud fax, AI, and the end of interface dependency in healthcare appeared first on OpenText Blogs.