Real World Solutions

Data can help healthcare providers make informed, personalized care decisions, but with new data constantly being created, it quickly becomes time-consuming and overwhelming. The goal of decision support is to sort through mass amounts of data and identify the key pieces needed by the provider. Regenstrief Institute is working on a variety of decision support tools, such as risk prediction algorithms, apps to retrieve information from the health information exchange and tools to alert providers about the need for preventive care, drug interactions and other clinical monitoring. The goal is to increase the quality, efficiency, outcomes and cost-effectiveness of care. Read more about the solutions being used in real-world settings.

Sorting through data is an overwhelming and time-consuming task. Regenstrief Institute research teams have created data mining tools that enable researchers to dig deeper into information, making it easier to extract information to create cohorts, patient registries and answer other research queries.

Following the vision of Sam and Myrtie Regenstrief, research scientists are working to make healthcare more efficient and equitable. By developing, testing and implementing novel care models, research teams have been able to improve patient care while also addressing the needs of families and caregivers and saving the healthcare system money.