When it comes to post-acute care, identifying the right setting to transfer individual patients to is critical to lowering readmission rates and reducing other negative consequences. However, this discharge planning (DP) decision is a complex one, typically involving multiple healthcare personnel, many of which may not have all the necessary information or time to make an accurate, informed decision. Furthermore, DP decisions can vary greatly depending on many different factors, showing a lack of standardized model.
Because of these issues, a team lead by Kathryn H. Bowles and including PISC Senior Scholar John H. Holmes has created a clinical decision support (CDS) algorithm to aid medical professionals in discharge planning. The algorithm was successfully built and validated, and further work is underway to test the its effects on patient outcomes in two hospitals.