Remote Patient Management

About

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.

Collaborators

Mykola Pechenizkiy (TU/e)
Paul De Bra (TU/e)
Ekaterina Vasilyeva (TU/e)
Sicco Verwer (TU/e)
George Fletcher (TU/e)
Evgeny Knutov (TU/e)
Indre Zliobaite (TU/e)
Aleksandra Tesanovic (Philips Research)
Seppo Puuronen (U. Jyväskylä)

Student projects

Goran Manev (TU/e & Philips Research): "Data mining for Patient Modeling and Adaptation of Medical Information Services"

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Publications

Pechenizkiy, M., Vasilyeva, E., Žliobaite, I., Tesanovic, A. & Manev, G. (2010) Heart Failure Hospitalization Prediction in Remote Patient Management Systems, In Proceedings of IEEE Symposium on Computer-Based Medical Systems. [PDF] [BIB]
Puuronen, S., Pechenizkiy, M., Vasilyeva, E. & Tesanovic, A. (2010) A Holistic Framework for Understanding Acceptance of Remote Patient Management (RPM) Systems by Non-Professional Users, In Proceedings of IEEE Symposium on Computer-Based Medical Systems. [PDF] [BIB]
Pechenizkiy, M., Tesanovic, A., Manev, G., Vasilyeva, E., Knutov, E., Verwer, S. & Bra, P.D. (2010) Patient Condition Modeling in Remote Patient Management: Hospitalization Prediction, In Adjunct Proceedings of the 18th International Conference on User Modeling, Adaptation, and Personalization: Posters and Demonstration (UMAP 2010), pp. 34-36. (poster) [PDF] [BIB]
Vasilyeva, E., Pechenizkiy, M., Tesanovic, A., Knutov, E. & De Bra, P. (2010) Towards EDM framework for Personalization of Information Services in RPM Systems, In Proceedings of the 3rd Conference on Educational Data Mining (EDM'2010), pp. 331-332. (poster) [PDF] [BIB]
Tesanovic, A., Manev, G., Pechenizkiy, M. & Vasilyeva, E. (2009) Towards the Second Order Adaptation in the Next Generation Remote Patient Management Systems, In Proceedings of the Workshop on Personalisation for eHealth (Pers4eHealth'09), pp. 34-40. [PDF] [BIB]
Tesanovic, A., Manev, G., Pechenizkiy, M. & Vasilyeva, E. (2009) eHealth Personalization in the Next Gneration RPM Systems (Extended abstract), In Proceedings of 21st Benelux Conference on Artificial Intelligence (BNAIC'09), pp. 445-446. (poster) [PDF] [BIB]
Tesanovic, A., Manev, G., Pechenizkiy, M. & Vasilyeva, E. (2009) eHealth personalization in the next generation RPM systems, In Proceedings of 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS'09), IEEE Computer Society, pp. 1-8. [PDF] [BIB]

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Presentations & posters

Heart Failure Hospitalization Prediction in Remote Patient Management Systems. The 23rd IEEE ACM International Symposium of Computer-Based Medical Systems (IEEE CBMS 2010), Perth, WA, Australia (October 2010).
A Holistic Framework for Understanding Acceptance of Remote Patient Management (RPM) Systems by Non-Professional Users. The 23rd IEEE ACM International Symposium of Computer-Based Medical Systems (IEEE CBMS 2010), Perth, WA, Australia (October 2010).
Patient Condition Modeling in Remote Patient Management: Hospitalization Prediction. 18th International Conference on User Modeling, Adaptation, and Personalization, Hawai, USA (June 2010).
Towards EDM framework for Personalization of Information Services in RPM Systems. 3rd Conference on Educational Data Mining (EDM'2010), Pitssburgh, PA, USA (June, 2010).
eHealth personalization in the next generation RPM systems. 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS'09), Albuqerca, USA (August 2009).

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