Presented By: U-M Industrial & Operations Engineering
Interventions for Patients with Complex Medical and Social Needs: Staffing Models and Open Challenges
Presented by Dr. Hari Balasubramanian from the University of Massachusetts
Abstract:
Healthcare spending in the United States is disproportionately skewed: Just 5% of the population accounts for one-half of annual spending, while 1% accounts for almost a quarter of annual spending. Many patients among these highest cost segments have multiple chronic conditions -- also known as multimorbidity -- as well as unmet social needs. Complex care interventions are one strategy for addressing the challenges facing such patients. A complex care intervention refers to a concerted effort, often by a multidisciplinary team consisting of nurses, community health workers and social workers, to help improve the health and wellbeing of such patients. Care teams strive to improve health outcomes by working closely with each of their patients, visiting them on a regular basis, reconciling medications, arranging primary and specialty care visits, and addressing social needs such as housing instability, rehabilitation from substance abuse, unemployment etc.
While such interventions have been adopted by a range of organizations including payers, primary care providers, and hospitals, operational questions that are vital to successful interventions have not yet been investigated. In this talk, we describe a complex care intervention developed by the Camden Coalition of Healthcare Providers (CCHP), an organization with significant experience, rich data and national renown. Using a granular dataset involving longitudinal patient-care team encounters, we quantify key features of intervention progression and how they vary among patients. We then describe an algorithm that samples patient-care team encounter histories to estimate staffing levels for a multidisciplinary care team. Finally, we survey other themes and open challenges in multimorbidity research.
Bio:
Dr. Hari Balasubramanian is an Associate Professor of Industrial Engineering at the University of Massachusetts, Amherst. He received his doctoral degree at Arizona State University in 2006. After graduation, Dr. Balasubramanian spent two years as a Research Associate at Mayo Clinic in Rochester, Minnesota before joining the University of Massachusetts in 2008. His research interests are in operations research applied to healthcare. Specific applications have included capacity planning and scheduling in outpatient, inpatient and emergency room settings. Dr. Balasubramanian received a National Science Foundation CAREER award (2013-2019) focused on improving primary care delivery. His papers have been published in both operations research as well as clinical journals. His recent work is on detecting population level patterns in the prevalence of multiple chronic conditions.
Healthcare spending in the United States is disproportionately skewed: Just 5% of the population accounts for one-half of annual spending, while 1% accounts for almost a quarter of annual spending. Many patients among these highest cost segments have multiple chronic conditions -- also known as multimorbidity -- as well as unmet social needs. Complex care interventions are one strategy for addressing the challenges facing such patients. A complex care intervention refers to a concerted effort, often by a multidisciplinary team consisting of nurses, community health workers and social workers, to help improve the health and wellbeing of such patients. Care teams strive to improve health outcomes by working closely with each of their patients, visiting them on a regular basis, reconciling medications, arranging primary and specialty care visits, and addressing social needs such as housing instability, rehabilitation from substance abuse, unemployment etc.
While such interventions have been adopted by a range of organizations including payers, primary care providers, and hospitals, operational questions that are vital to successful interventions have not yet been investigated. In this talk, we describe a complex care intervention developed by the Camden Coalition of Healthcare Providers (CCHP), an organization with significant experience, rich data and national renown. Using a granular dataset involving longitudinal patient-care team encounters, we quantify key features of intervention progression and how they vary among patients. We then describe an algorithm that samples patient-care team encounter histories to estimate staffing levels for a multidisciplinary care team. Finally, we survey other themes and open challenges in multimorbidity research.
Bio:
Dr. Hari Balasubramanian is an Associate Professor of Industrial Engineering at the University of Massachusetts, Amherst. He received his doctoral degree at Arizona State University in 2006. After graduation, Dr. Balasubramanian spent two years as a Research Associate at Mayo Clinic in Rochester, Minnesota before joining the University of Massachusetts in 2008. His research interests are in operations research applied to healthcare. Specific applications have included capacity planning and scheduling in outpatient, inpatient and emergency room settings. Dr. Balasubramanian received a National Science Foundation CAREER award (2013-2019) focused on improving primary care delivery. His papers have been published in both operations research as well as clinical journals. His recent work is on detecting population level patterns in the prevalence of multiple chronic conditions.
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