Towards Precise Descriptions of Medical Free/Libre and Open Source Software

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DOI: 10.3233/SHTI200203

Projects: Health IT Ontology (HITO)

Publication type: Journal article

Journal: Digital Personalized Health and Medicine

Human Diseases: No Human Disease specified

Citation: Digital Personalized Health and Medicine,IOS Press

Date Published: 2020

Registered Mode: imported from a bibtex file

Authors: Franziska Jahn, Michelle Bindel, Konrad Hoeffner, Maryam Ghalandari, Birgit Schneider, Sebastian Staeubert, Verena Dornauer, Thomas Karopka, Elske Ammenwerth, Alfred Winter

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Jahn Franziska, Bindel Michelle, Höffner Konrad, Ghalandari Maryam, Schneider Birgit, Stäubert Sebastian, Dornauer Verena, Karopka Thomas, Ammenwerth Elske, & Winter Alfred. (2020). Towards Precise Descriptions of Medical Free/Libre and Open Source Software. In Studies in Health Technology and Informatics. IOS Press. https://doi.org/10.3233/shti200203
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Health IT Ontology (HITO)

There is a variety of libre/free and open-source software (LIFOSS) products for medicine and health care. The Health Information Technology Ontology (HITO) allows describing those products, as well as studies evaluating them, systematically with a defined set of classes and their relationships. With the help of linked or integrated catalogues for languages, programming languages, licenses, features, and enterprise functions, the functionalities of LIFOSS can be precisely described and compared. ...

Programme: Management von Gesundheitsinformationssystemen (MaGIS)

Public web page: https://hitontology.eu/

Konrad Höffner project_administrator

Projects: Semantisches Netz des integrierten Informationsmanagements im Krankenhaus (SNIK), Health IT Ontology (HITO)

Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Universität Leipzig: Institut für Medizinische Informatik, Statistik und Epidemiologie

https://orcid.org/0000-0001-7358-3217
Franziska Jahn

Projects: Semantisches Netz des integrierten Informationsmanagements im Krankenhaus (SNIK), Health IT Ontology (HITO)

Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)

https://orcid.org/0000-0002-7687-8544
Sebastian Stäubert adminasset_gatekeeper

Projects: NLP4CR - Natural Language Processing for Clinical Research, SMITH - Smart Medical Information Technology for Healthcare, 3LGM² Enterprise Architecture Modeling, MI-Lab, Semantisches Netz des integrierten Informationsmanagements im Krankenhaus (SNIK), Health IT Ontology (HITO)

Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)

https://orcid.org/0000-0002-7221-7415
Alfred Winter project_administratorasset_housekeeperprogramme_administrator

Projects: NLP4CR - Natural Language Processing for Clinical Research, Management of health information systems, 3LGM² Enterprise Architecture Modeling, Inclusion Health Informatics, Semantisches Netz des integrierten Informationsmanagements im Krankenhaus (SNIK), Health IT Ontology (HITO)

Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)

https://orcid.org/0000-0003-0179-954X

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The Health Atlas - Local Data Hub/Leipzig is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

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