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Terminologies and Ontologies in Health Care

Utilization of standardized terms as a prerequisite for digital health

Charité - Universitätsmedizin Berlin | Berlin Institute of Health (BIH)

Teaching Language: German & English

Workload: 2h presence / 18h online = 20h total1

Target Group: Health professionals and students in the health sector from the fields of medicine, medical informatics, computer science, public health, biometrics, bioinformatics, epidemiology, care, therapy, medical controlling.

Pretty young student studying at home sitting at her dining table with a large binder of notes checking something on the screen of her laptop computer
top view of Medicine doctor hand working with modern computer and smart phone on wooden desk as medical concept-1
Focused classmates studying together and using laptop in library

Consultation & Registration:
If you have any questions, please do not hesitate to contact us: info@highmed-lehre.de

Form of teaching: Online

E-health applications are changing the paradigm of medical documentation and data analysis: Structured documentation should, in the broadest sense, facilitate communication between health care workers and researchers rather than be used for statistical and administrative processes and billing. Data should be incorporated into the overall patient record and its accompanying applications, such as patient registration data, reporting system and external or internal quality assurance. Data must be recorded consistently, clearly, precisely, and in a standardized manner.

Learning Objectives

Participants learn about the purpose, requirements and application scenarios of medical documentation using terminology and ontologies. The importance of structured data collection for scientific and administrative purposes is described. In the Terminology and Ontologies module, they learn about the most important regulatory and documentation systems of the health care sector:

          • Medical classification systems, explanation of terms (classification, terminology, ontology, nomenclature, value sets).
          • Motivation: application areas and short insight into semantic interoperability, current situation
          • Basics of ontology: definition, Semantic Web (OWL, RDF)
          • HL7 (V2, V3, FHIR)

 

Bibliography:

Praxishandbuch IT im Gesundheitswesen

Boone K W.: The CDA TM book - Springer 2011 (ISBN 978-0-857-29335-0)

Staab S, Studer R.: Handbook on Ontologies - Springer 2009 (ISBN 978-3-540-70999-2)

Benson T.: Principles of Health Interoperability - HL7 and SNOMED - London: Springer 2010 (ISBN 978-1-84882-802-5)

 

1The times serve as rough orientation. The real times may differ.

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