HITO - Eine Health IT Ontologie für die systematische Beschreibung von Anwendungssystemen und Softwareprodukten in der Gesundheits-IT
Zusammenfassung der Projektergebnisse
Managing health information systems, health IT professionals have a strong need to describe, to share and to compare information about software products for health care, available evidence of their use and related competencies of IT professionals. However, medical informatics suffers from a missing common terminology and health IT descriptions are not easily comparable. In this project, we identified characteristics that are useful for describing software products used in healthcare and systematically captured them in the health IT ontology (HITO). HITO was developed iteratively collecting requirements of five use cases in which precise description of software products or related competencies are advantageous. HITO consists of both classes which describe general characteristics of software products such as supported languages or operating systems and classes which describe healthcare-specific characteristics, such as application system types, supported functions, features, potential user groups and organizational units where the software can be used. To facilitate both tagging and retrieving of healthcare-specific characteristics, we integrated or linked existing terms for the description of software products from two different perspectives. On the one hand, we integrated a folksonomy for health IT. In the HITO context, we interpret folksonomy as the tags developers, vendors or users of software products use to describe the functionalities of these software products. We extracted such tags from software descriptions, manuals, websites, health IT journals and research articles. On the other hand, we analyzed existing systems of concepts such as the HL7 EHR-S Functional Model, SNOMED, the WHO Classification of Digital Health Interventions and linked open data resources that are potentially useful to describe software products. Selected systems of concepts were integrated into HITO as “catalogues”, that is, lists of terms that can be used as instances for the healthcare-specific classes. We cross-linked the instances of these catalogues where possible to improve comparability of software descriptions. As a proof-of-concept, we described 25 libre/free open source software products and single commercial software products with the help of HITO and the integrated catalogues. HITO and its knowledge base are published as Linked Open Data what allows barrier-free access and use. We used several semantic web tools to provide different views and search options for the ontology. For exploring, an online tool based on RickView or the ontology download can be used. Querying the knowledge base is supported by SPARQL and a faceted search. The HITO JobAdBuilder supports the convenient creation of job profiles for health IT application managers, software developers and other health IT experts. The HITO project pointed out the terminology problem of health informatics, again. Establishing a uniform terminology for software products used in health care is currently hardly achievable due to several co-existing terminologies both from research and practice. Linking the terms from different terminologies by similarity relationships is a first step towards more transparency, but also for the identification of misunderstandings that may be caused by synonyms, homonyms or conceptual overlaps.
Projektbezogene Publikationen (Auswahl)
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Towards a taxonomy for describing health IT interventions. Poster auf dem Kick-off Meeting des Life & Health Science Cluster Tirol, 3.-4.12.2018, Innsbruck
Dornauer V., Ghalandari M., Jahn F., de Keizer N., Winter A. & Ammenwerth E.
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An Ontology for Describing Health IT Interventions: Methodological Considerations. Studies in Health Technology and Informatics. IOS Press.
Ammenwerth, Elske; Dornauer, Verena; Ghalandari, Maryam; Jahn, Franziska; de Keizer, Nicolet & Winter, Alfred
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An ontology for precise descriptions of medical free/libre open source software. Presentation at Orthanc Con 2019, 13.-15.12.19, Liège, Belgium
Jahn F., Karopka T., Höffner K., Ghalandari M., Schneider B., Dornauer V., Ammenwerth E. & Winter A.
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Challenges and solutions while developing HITO–a Health IT Ontology. ICIMTH 2019, Athens. Best Poster Award at ICIMTH 2019.
Dornauer V., Ghalandari M., Höffner K., Jahn F., Schneider B., Winter A. & Ammenwerth E.
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Developing and implementing a health IT ontology for facilitating retrieval of health IT evaluation studies. 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
Dornauer V., Ghalandari M., Höffner K., Jahn F., Winter A. & Ammenwerth E.
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Open and Linkable Knowledge About Management of Health Information Systems. In: Ohno-Machado L, Séroussi B (eds.): Proceedings of Medinfo 2019, the 17th World Congress on Medical and Health Informatics, 25.- 30.8.2019, Lyon. Amsterdam: IOS Press. pp. 1678-9
Höffner K., Jahn F., Lörke A., Pause T., Schneider B., Ammenwerth E. & Winter A.
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Towards Precise Descriptions of Medical Free/Libre and Open Source Software. Studies in Health Technology and Informatics. IOS Press.
Jahn, Franziska; Bindel, Michelle; Höffner, Konrad; Ghalandari, Maryam; Schneider, Birgit; Stäubert, Sebastian; Dornauer, Verena; Karopka, Thomas; Ammenwerth, Elske & Winter, Alfred
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Use of Natural Language Processing for Precise Retrieval of Key Elements of Health IT Evaluation Studies. Studies in Health Technology and Informatics. IOS Press.
Dornauer, Verena; Jahn, Franziska; Hoeffner, Konrad; Winter, Alfred & Ammenwerth, Elske
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HITO – a Health IT Ontology: Using Linked Open Data to describe Libre/Free and Open Source Software (Preprint). JMIR Publications Inc..
Jahn, Franziska; Ammenwerth, Elske; Dornauer, Verena; Höffner, Konrad; Bindel, Michelle; Karopka, Thomas & Winter, Alfred
