Abstract
Medical consultants face increasing challenges in keeping up-to-date with the rapid development of new treatments and medications. Information providers offer evidence-based medical information services, continuously taking into account new publications and medical developments. This article describes a personalised clinical decision support system for cancer care. Data from evidence-based medical knowledge services are semantically linked with electronic health records and presented to consultants at the point-of-care.
Keywords
- Clinical Decision Support Systems (CDSS)
- Electronic Medical Records (EHR)
- User Interaction Concepts
- Breslow Thickness
- Personalised Medicine
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This work was funded by the European Commission, Horizon 2020 Marie Skłodowska-Curie Research and Innovation Staff Exchange, under grant no 644186 as part of the project SAGE-CARE (SemAntically integrating Genomics with Electronic health records for Cancer CARE). Paul Walsh is supported by Science Foundation Ireland Fellowship grant number 16/IFA/4342.
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Humm, B.G., Walsh, P. (2018). Personalised Clinical Decision Support for Cancer Care. In: Hoppe, T., Humm, B., Reibold, A. (eds) Semantic Applications. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55433-3_10
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