Profiling remotely monitored patients with adherence parameters

Anna-Leena Orsama, Hannu Kaijanranta, Juha Leppänen, Leila Partanen, Tiina Heliö, Jaakko Lähteenmäki

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Remote patient monitoring systems provide plenty of structured information about the monitored health variables. We propose a set of parameters that exploits the remotely monitored data to describe patient's monitoring adherence from different viewpoints. The parameters were applied in self-monitored weight and blood pressure data sets of 30 heart failure patients inherited from a clinical trial setting. With the help of the extracted adherence parameters the thirty heart failure patients were clustered into two subgroups with different monitoring profiles: a group of well-performing subjects (n=22) and a group of low-performing subjects (n=8). Beneficial effects of active monitoring were reflected as positive changes in clinical health outcomes and lowered burdening of health care providers among the group of well-performing subjects.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIADIS International Conference e-Health 2012
EditorsMário Macedo
Pages231-235
Publication statusPublished - 2012
MoE publication typeA4 Article in a conference publication
EventIADIS International Conference e-Health 2012 - Lissabon, Portugal
Duration: 17 Jul 201219 Jul 2012

Conference

ConferenceIADIS International Conference e-Health 2012
CountryPortugal
CityLissabon
Period17/07/1219/07/12

Fingerprint

Physiologic Monitoring
Patient Compliance
Heart Failure
Health
Health Personnel
Clinical Trials
Blood Pressure
Weights and Measures
Datasets

Keywords

  • remote patient monitoring
  • telehealth
  • adherence
  • clustering

Cite this

Orsama, A-L., Kaijanranta, H., Leppänen, J., Partanen, L., Heliö, T., & Lähteenmäki, J. (2012). Profiling remotely monitored patients with adherence parameters. In M. Macedo (Ed.), Proceedings: IADIS International Conference e-Health 2012 (pp. 231-235)
Orsama, Anna-Leena ; Kaijanranta, Hannu ; Leppänen, Juha ; Partanen, Leila ; Heliö, Tiina ; Lähteenmäki, Jaakko. / Profiling remotely monitored patients with adherence parameters. Proceedings: IADIS International Conference e-Health 2012. editor / Mário Macedo. 2012. pp. 231-235
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Orsama, A-L, Kaijanranta, H, Leppänen, J, Partanen, L, Heliö, T & Lähteenmäki, J 2012, Profiling remotely monitored patients with adherence parameters. in M Macedo (ed.), Proceedings: IADIS International Conference e-Health 2012. pp. 231-235, IADIS International Conference e-Health 2012, Lissabon, Portugal, 17/07/12.

Profiling remotely monitored patients with adherence parameters. / Orsama, Anna-Leena; Kaijanranta, Hannu; Leppänen, Juha; Partanen, Leila; Heliö, Tiina; Lähteenmäki, Jaakko.

Proceedings: IADIS International Conference e-Health 2012. ed. / Mário Macedo. 2012. p. 231-235.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Orsama, Anna-Leena

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AU - Heliö, Tiina

AU - Lähteenmäki, Jaakko

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AB - Remote patient monitoring systems provide plenty of structured information about the monitored health variables. We propose a set of parameters that exploits the remotely monitored data to describe patient's monitoring adherence from different viewpoints. The parameters were applied in self-monitored weight and blood pressure data sets of 30 heart failure patients inherited from a clinical trial setting. With the help of the extracted adherence parameters the thirty heart failure patients were clustered into two subgroups with different monitoring profiles: a group of well-performing subjects (n=22) and a group of low-performing subjects (n=8). Beneficial effects of active monitoring were reflected as positive changes in clinical health outcomes and lowered burdening of health care providers among the group of well-performing subjects.

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Orsama A-L, Kaijanranta H, Leppänen J, Partanen L, Heliö T, Lähteenmäki J. Profiling remotely monitored patients with adherence parameters. In Macedo M, editor, Proceedings: IADIS International Conference e-Health 2012. 2012. p. 231-235