Remote Health Monitoring Outcome Success Prediction Using Baseline and First Month Intervention Data

IEEE Journal of Biomedical and Health Informatics
Nabil AlshurafaJo-Ann Eastwood

Abstract

Remote health monitoring (RHM) systems are becoming more widely adopted by clinicians and hospitals to remotely monitor and communicate with patients while optimizing clinician time, decreasing hospital costs, and improving quality of care. In the Women's heart health study (WHHS), we developed Wanda-cardiovascular disease (CVD), where participants received healthy lifestyle education followed by six months of technology support and reinforcement. Wanda-CVD is a smartphone-based RHM system designed to assist participants in reducing identified CVD risk factors through wireless coaching using feedback and prompts as social support. Many participants benefitted from this RHM system. In response to the variance in participants' success, we developed a framework to identify classification schemes that predicted successful and unsuccessful participants. We analyzed both contextual baseline features and data from the first month of intervention such as activity, blood pressure, and questionnaire responses transmitted through the smartphone. A prediction tool can aid clinicians and scientists in identifying participants who may optimally benefit from the RHM system. Targeting therapies could potentially save healthcare costs, clinicia...Continue Reading

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Citations

Mar 13, 2018·Technology and Health Care : Official Journal of the European Society for Engineering and Medicine·J Pandia Rajan, S Edward Rajan
Feb 11, 2020·The Journal of Cardiovascular Nursing·Sabianca DelvaHae-Ra Han
Feb 9, 2021·Journal of Healthcare Informatics Research·N HernandezW Ben Mortenson

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