Remote Patient Management Systems (RPM), besides monitoring the health conditions of patients, provide them with different information services that currently are predefined and follow a one-size-fits-all paradigm to a large extent. In this work we focus on the problem of knowledge discovery and patient modeling by mining educational data, motivational and instructional feedback provided to patients within RPM system.
1. Figure 1. The role of EDM in RPM (top) and motivating examples (bottom). The preliminary results of our exploration study suggest that there is potential for EDM to facilitate data-driven patient modeling and motivate the shift from the one-size-fits-all approach currently employed in the development of RPM systems to personalization in providing educational materials, motivational support and informational content to their users. Our further work includes the many-sided analysis of the RPM usage database with the focus on the educational content and usage data. The particular focuses include subgroup discovery and identification of signatures describing well-doing home- monitored patients and those who require more assistance of the medical staff. Acknowledgments. This research is partly supported by KWR MIP, FP7 EU HeartCycle and NWO GAF projects.
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