Webinar: Developing a Trusted Framework to Improve Population Health Management and Patient Engagement

May 18, 12:00pm, EDT - 1:00pm, EDT

Virtual Event


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Date/Time: May 18, 2021, 12 p.m. to 1:00 pm (Eastern)

Webinar: Developing a Trusted Framework to Improve Population Health Management and Patient Engagement

Registration: Click here to register.

Speaker: Guy C. Hembroff, PhD, Associate Professor, College of Computing, Director, Health Informatics Graduate Program, Michigan Technological University


In this webinar, Dr. Hembroff will discuss his work in developing a trusted framework architecture designed to improve population health management and patient engagement. He demonstrates how his team’s work in the development of accurate geo-tagged pandemic prediction algorithms used to help coordinate medical supply chains to care for patients most vulnerable to COVID-19, can extend to help improve general population health management.  The framework consists of a holistic and secure mHealth community model for residents to overcome significant barriers of care and provide healthcare agencies improved coordinated population management through the aggregation of longitudinal patient health data, including patient generated health data (PGHD) and social determinants of health (SDOH). The architecture’s security includes the development of touchless biometrics, capable of large-scale identity management through the establishment of unique health identifiers (UHIDs).  Machine learning algorithms can strategically connect residents to community resources and provide customized health education aimed at increasing the health literacy, empowerment, and self-management of patients. Users are able to securely share their health data with others (e.g., physicians, caregivers), while clinicians can better track patients, offering improved preventative measures and care management.

Speaker Biography

Dr. Guy Hembroff is an associate professor at Michigan Technological University in Houghton, Michigan. He is the director of the Health Informatics graduate program (https://www.mtu.edu/health-informatics) and the ICC Cybersecurity Center (https://www.mtu.edu/icc/centers/cybersecurity) within the College of Computing. Dr. Hembroff holds a PhD in Computational Science and Engineering (CS&E) with expertise in network engineering, machine learning, deep learning, biometric development, intelligent medical devices, and cybersecurity.