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Title:
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PROFILING REMOTELY MONITORED PATIENTS WITH ADHERENCE PARAMETERS |
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Author(s):
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Anna-Leena Orsama, Hannu Kaijanranta, Juha Leppänen, Jaakko Lähteenmäki, Leila Partanen, Tiina Heliö |
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ISBN:
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978-972-8939-70-0 |
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Editors:
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Mário Macedo |
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Year:
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2012 |
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Edition:
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Single |
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Keywords:
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Remote patient monitoring, telehealth, adherence, clustering |
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Type:
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Short Paper |
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First Page:
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231 |
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Last Page:
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236 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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 patients 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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