Terminologies and Ontologies in Health Care
Utilization of standardized terms as a prerequisite for digital health
Charité Universitätsmedizin Berlin, Berlin Institute of Health (BIH)
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. Instead, the data should be incorporated into the overall patient record and its accompanying applications, such as the recording of patient registration data, the reporting system or external and internal quality assurance. Data must be recorded consistently, clearly, precisely, and in a standardized manner.
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.
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. Learners understand and apply formal and substantive documentation requirements in health care. This course describes the requirements for modern medical terminology systems, such as the SNOMED CT, LOINC, IDMP, OMICS terminology, ICHI for mapping treatment procedures, and the International Statistical Classification of Diseases and Related Health Problems in the 11th International Revision "ICD-11" for mapping diagnoses in the e-health context. Moreover, they will learn how these terminologies are bound to information models such as HL7 FHIR.
Participants acquire the ability to independently derive a formally correct procedure, using conventional methods of documentation, transmission, and analysis of the structured and annotated data. Students are enabled to adequately deal with the various documentation systems and the terminology lists and ontologies involved. They apply the learned systems in the right context and support the underlying workflows and systems.
Embedding: The educational goal of the Berlin Institute of Health (BIH) is to support a new generation of translationally trained researchers in their scientific and clinical research with an integrative, translational and entrepreneurial approach. It aims to provide research solutions enabling the transformation of medical care into a value-based model from the 21st century.