Abstract
With the introduction of electronic personal health records and e-health applications spreading, interoperability concerns are of increasing importance to hospitals and care facilities. Interoperability between distributed and complex systems requires, among other things, compatible data formats. The recommended approach is to store data using international terminology standards. For data that is not stored in this way, a conversion process must happen. This can be tedious manual work when multiple input and output formats are to be supported. We present WEGWEIS, a web application for schizophrenia patients that converts questionnaire answers into advice. The system's advice delivery is based on data extracted from the electronic medical records of 1379 patients. In WEGWEIS, we handle the conversion by decoupling input formats from output formats, using an ontology as intermediate layer. We present the algorithm and provide details on its implementation.
Original language | English |
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Title of host publication | MIXHS'11 |
Subtitle of host publication | Proceedings of the 1st International Workshop on Managing Interoperability and Complexity in Health Systems |
Place of Publication | New York, NY |
Publisher | Association for Computing Machinery (ACM) |
Pages | 79-82 |
Number of pages | 4 |
ISBN (Print) | 9781450309547 |
DOIs | |
Publication status | Published - 2011 |
Externally published | Yes |
Event | 1st International Workshop on Managing Interoperability and compleXity in Health Systems, MIXHS'11, Collocated with the 20th ACM International Conference on Information and Knowledge Management, CIKM 2011 - Glasgow, United Kingdom Duration: 28 Oct 2011 → 28 Oct 2011 |
Other
Other | 1st International Workshop on Managing Interoperability and compleXity in Health Systems, MIXHS'11, Collocated with the 20th ACM International Conference on Information and Knowledge Management, CIKM 2011 |
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Country | United Kingdom |
City | Glasgow |
Period | 28/10/11 → 28/10/11 |
Keywords
- case-based reasoning
- ontology
- routine outcome monitoring