Databases and Hypermedia Group, TU/eOther Projects

Remote Patient Management


Remote Patient Management (RPM) systems offer a great potential in reducing hospitalization costs and worsening of symptoms for patients with chronic diseases, e.g., coronary artery disease, heart failure, and diabetes. Existing commercial RPM systems typically provide an end-to-end infrastructure that connects patients at home with medical professionals at their institutions

RPM systems ideally should have both the ability to monitor vital signs and provide a feedback to the patient in terms of appropriate information, education and coaching and to the medical professionals responsible for RPM about the current status and progress. It is important that an RPM system has a feedback loop to the patient that enables the professional to provide appropriate education and counseling (coaching) of the patients.

RPM systems are expected to assist in normalization of patient condition and preventing re-hospitalization.

In our research we study the following issues of RPM:

  • Personalization of RPM (architecture of personalized RPM system, using knowledge discovery process for personalization, patients' acceptance of personalization);
  • Heart failure hospitalization prediction
  • Predictive modeling with data having different availability and reliability
  • RPM technology acceptance model

Some of the preliminary results can be found in recent publications.

This research has been partly supported by MIP KWR project and Philips Research.


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