HL7v3 identity interfaces are typically used when two systems both maintain patient identities, and they are trying to establish whether a patient in one system matches a patient in the other. This exchange might occur, for example, between two clinics in the same community, or between two hospitals across the country. Unlike HL7v2 interfaces, HL7v3 interfaces are XML-based and messages are exchanged via Web services.
Outgoing interfaces refer to interfaces in which the EMR sends the message. Incoming interfaces refer to interfaces in which the EMR receives the message.
Incoming Patient Discovery
In this scenario, an external system has a patient that it is attempting to match in an Epic system. The external system sends a subset of patient demographics and if the EMR can find a unique high-confidence match, it will return the matching patient. Epic software implements all transactions required in the IHE Technical Framework to support the IHE Cross-Community Patient Discovery Profile as a Responding Gateway.
Outgoing Patient Discovery
In this scenario, a patient presents to an Epic system, and a user needs to match the patient in an external system. The EMR will send a subset of patient demographics to the external system, which will respond with the patient(s) who match the query. The EMR will confirm the match, usually through the user, and then report back the user's actions. Epic implements all transactions required in the IHE Technical Framework to support the IHE Cross-Community Patient Discovery Profile as an Initiating Gateway.
Research Study Management and Enrollment
read the spec
To support external Clinical Trial Management Systems, Epic supports all transactions in the IHE Retrieve Protocol for Execution and Clinical Research Process Content profiles as a ProtocolExecutor and Content Consumer, respectively. These interfaces include the ability for a CTMS to create research study records in the EMR, associate patients to a study, update the patient's enrollment status in the study, and populate billing grid data.
Current integrations include...
- Click Commerce eResearch Portal
- DDOTS (Data Doctors Office Technology Systems) CREDIT
- Forte Research Systems OnCore
- heartbase ADT Interface
- IBM Watson CTM
- MDLogix CRMS
- National Cancer Institute C3PR
- UAMS AERS, UAMS Clara
- Velos eResearch