Sharing data and collaborating with regional universities like this is unprecedented.
Sioux Falls, South Dakota (PRWEB)
September 05, 2017
Students and researchers at four universities and Sanford Research have released the findings from their study of real-time patient data.
The data, which is stripped of private information, was made available as part of the Sanford Data Collaborative, which gathered statistics from thousands of patient visits to Sanford facilities and allowed the academic institutions to study it for trends and insights. The study began in February.
“Sharing data and collaborating with regional universities like this is unprecedented,” said Emily Griese, Ph.D., a director at Sanford Research. “But that’s how we’ll move forward as a health care leader – by looking for unique solutions to patient care challenges.”
Sharing de-identified data with other institutions brings broader perspective to issues faced by patients, providers and systems. Sanford Research recognizes that collaboration can bring about solutions while still keeping patient privacy at the forefront.
The projects are:
- University of South Dakota (principal investigator: Carole South-Winter, Ed.D.): The team developed a readmission risk algorithm for patients following heart surgery that determines who is at risk and provides insights for care. Previous risk scores did not suggest possible interventions.
- Dakota State University (principal investigator: Yong Wang, Ph.D.): Researchers looked for patterns in how rural and urban patients use various service platforms, including electronic medical records, to search for ways to decrease emergent and urgent care needs.
- University of North Dakota, (principal investigator: Arielle Seyla, Ph.D.): The team developed an algorithm to predict unplanned medical visits for diabetics, taking into account their current disease management behaviors, such as smoking, and other information, and then providing pathways to care.
- South Dakota State University (principal investigator: Surachat Ngorsuraches, Ph.D.): The team developed a patient engagement score using existing patient data. Patient engagement factors into effective management of chronic conditions, but surveys and other tracking…