Self-paced course

Digital Health & Research Systems, Data Interoperability

Offered by Prof. Sylvia Thun, Prof. Dr. Fabian Prasser, Dr. Kai Heitmann
Digital Health & Research Systems, Data Interoperability

Interoperability describes the extent to which systems and devices can exchange data, and interpret that shared data. For two systems to be interoperable, they must be able to exchange data and subsequently present that data such that it can be understood by a user.

Self-paced since February 23, 2024
Language: English

Course information

This module defines and explains the role of semantic interoperability in the development of an EHR and derived applications as well as regulatory requirements, registries, notification processes and ePharma. It analyzes predominant standardization in the healthcare field such as ISO IDMP, HL7 V2, CDA, FHIR, SNOMED CT, LOINC, and IHE and examines the challenges to the development and implementation of interoperability standards in healthcare.

Health Systems and Data Interoperability gives an understanding of basic and advanced principles in healthcare system interoperability and infrastructure as well as architectural, business, organizational, juristical, ethical aspects and operational models required to implement and manage a health information exchange. Participants will gain practical experience in the exchange of clinical data in a cloud-based environment.

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Learners

Current
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35
Course End
Feb 23, 2024
33
Course Start
Nov 03, 2023
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