Developing a Clinical Decision Support Tool to Prospectively Identify Patients at High Risk for Hospital Readmission


Common, costly, and often preventable, readmissions to the hospital continue to be a major problem within our health care system. The ability to identify quickly which patients are at high risk for readmission and then tailor interventions for those patients would enable hospitals to reduce readmissions in a cost-effective manner. This project will develop an electronic clinical decision support tool, using data obtained from electronic health records, to help hospitals predict which patients are at heightened risk of readmission within one month. After validating the tool with seven hospitals in the Dallas-Fort Worth metropolitan area, it will be made freely available to all U.S. hospitals. The model could also be used to risk-adjust hospital payment under new reimbursement approaches.

Grant Details

Grantee Organization:
Parkland Health & Hospital System
Principal Investigator:
Ruben Amarasingham, M.D., M.B.A.
Award Amount:
Approval Date:
July 13, 2010
Related Topics
Health Care Delivery

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