VIReC Innovations in Healthcare Informatics
Delivering Health Coaching Interventions to the Home: Computational Models and Inference of Patient State
Holly Jimison, PhD
Seminar date: 7/13/2015
Description: With escalating health care costs and an aging demographic in most countries, it is important to focus on new models of care that are both scalable and sustainable. The success of these new approaches is predicated on advances and innovations in technology, as well as on the availability of data and new analysis techniques. Recent developments in sensors, mobile apps and wireless devices have provided us with opportunities to track health behaviors in the home and environment, offering many new opportunities for the early detection of health issues and for tailoring interventions in the home. In this presentation I will describe examples of multidisciplinary approaches – combining medical informatics, computer science, cognitive science and clinical practice – to addressing the big data challenges with interpreting streaming sensor data from multiple sources. I will describe our software platform for delivering remote health coaching interventions. We use data from unobtrusive sensors in the homes of independent older adults to monitor activity, computer interactions, medication adherence, sleep quality, etc. This data is used to update each individual’s dynamic user model and generate automated tailored coaching messages, designed to facilitate a single health coach in managing tailored health interventions for a large client base. This approach offers promise for both reducing the cost of care and improving the quality of health behavior change interventions.
• Sensors: Seminar participants will be able to recognize relevant sensors for self-management interventions.
• Data Science: Seminar participants will be able to understand the major issues with data acquisition, sampling, filtering, cleaning, inference, and modeling.
• Technology for Health Behavior Change: Seminar participants will be able to recognize the important software components and features required for technology platforms to be effective in facilitating health behavior change interventions.
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