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P. Bodesinsky, P. Federico, S. Miksch:
"Visual Analysis of Compliance with Clinical Guidelines";
Talk: 13th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW), Graz; 2013-09-04 - 2013-09-06; in: "Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW)", ACM, (2013), ISBN: 978-1-4503-2300-0.

Clinical guidelines provide recommendations in the form of applicable actions in a specific clinical context. Computer Interpretable Guidelines (CIG) aim to achieve guideline integration into clinical practice to increase health care quality. Analyzing the compliance with a CIG can facilitate the implementation and assist in the design of CIGs, but to help medical experts in the detection of patterns in the wealth of the data is a challenging task. We suggest an approach based on visual analytics, intertwining interactive visualization and automated data analysis i.e. analysis of compliance with a CIG. Our solution covers highlighting and abstraction for time-oriented patient parameters, and aggregation of repeatedly missing actions into intervals; in addition valid, invalid, and missing actions are represented visually. Furthermore, we discuss a case study showing how the applied techniques can assist in the detection of interesting patterns.

visual analytics, information visualization, computer interpretable guidelines, guideline compliance, medical information systems

http://dx.doi.org/10.1145/2494188.2494202

http://publik.tuwien.ac.at/files/PubDat_219705.pdf

Project Head Silvia Miksch:
MobiGuide: Führen von PatientInnen immer & überall