The Independence Blue Cross Center for Health Care Innovation and Drexel University will collaborate on several research projects, including the use of “machine learning” and curbing hospital readmissions.
Researches from both institutions will work on a number of different areas, among them:
— Identifying Independence members at high risk for hospitalizations and re-hospitalizations, as well as identifying members who would benefit from chronic disease outreach.
With the Rise of AI, What IP Disputes in Healthcare Are Likely to Emerge?
Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.
— Applying machine learning techniques to unstructured data, such as notes from members’ interactions with doctors and other health professionals, to predict future health problems or customer service issues;
— Evaluating health interventions that can reduce the number of avoidable emergency department visits;
— Improving the detection of fraudulent claims, predicting when fraud is likely to occur, and developing strategies to help members protect their medical identity.
“The future of health care is dependent upon finding new ways to use technology and information to predict illness and prevent health problems before they develop,” said Independence President and CEO Daniel J. Hilferty.
Independence and Drexel also teamed up in 2012 to create a business analytics certificate program for Independence associates through the Krall Center for Corporate and Executive Education in the University’s LeBow College of Business. All patient data Independence provides for the research will comply with HIPAA regulations.