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Strategic Research Areas

The Regenstrief Center for Healthcare Engineering focuses efforts in three key areas: Healthcare Analytics, Healthcare Delivery, and Evidence Generation through a data driven system approach.  While broad in scope, these areas allow for collaboration with various partners and the formation of multi-disciplinary teams to generate lasting impacts that benefit all healthcare-arena players: patients, providers and payers.

Health-Analytics.pngHealth Analytics

Clinical and operational decisions should be based on the best available evidence, although this may depend on patient and context characteristics as well as judgement of the clinician.  As the ability to collect and process large amounts of digital data continues to expand rapidly, it is becoming possible for healthcare organizations to develop an evidence base that links process activities to patient and population outcomes.  RCHE’s data scientists and researchers are addressing this challenge with collaboration and partnerships by developing making data sets readily accessible, visualization tools, sensors, and patient monitoring into a structure that provides actionable information – bridging the gap between data and evidence generation for clinical knowledge translation.

Healthcare-Delivery.pngHealthcare Delivery

Healthcare organizations often “sub-optimize” their delivery by focusing improvement efforts on a particular component of their system without properly considering the complex set of interactions with other system components. Demand on the system is typically highly variable, uncertain, and out of the direct control of the provider. Misaligned incentives can result from ill-designed reimbursement structures for care providers, undue focus on the affordability of medications, and a system focused on treating the sick rather than maintaining health.  As healthcare moves from a fee-for-service to capitated model, controlling costs has become one of the most important drivers in the industry.  RCHE’s researchers are developing approaches to properly match health resources (capacity) with the health need.

Evidence-Generation.pngEvidence Generation

Behavioral and social factors, along with genetic predisposition are major determinants of health and wellness. Moreover, in order to make interventions more coordinated, tailored, timely and sustainable, there will be a shift to more virtual care with less dependence on clinical care solutions. RCHE’s researchers are working to improve the health and wellness in rural communities, including global settings, by identifying opportunities (e.g., “at risk” populations), determining how to best target interventions, characterizing spread of a condition through a community, fostering technology adaption and the appropriate use of eHealth, mHealth, telehealth, and point of care diagnostics focusing on RCHE’s core strength on engineering technologies and data science methods.