PP09       Title: Utilizing A Pre-Admission Prediction Tool to Improve the Inpatient Discharge Process Date: Thursday, June 19, 2008 Time: 12:00 PM - 04:00 PM Type: POSTER Level: BASIC Track: - Sponsor(s): - Speaker(s): Brenda Caroll Donovan; Pamela Jean Tobichuk Medicare regulation changes for Inpatient Rehabilitation Facilities and Long-term Acute Care hospitals have impacted the Orthopedic Total Joint Replacement Programs across the country. At Massachusetts General Hospital (MGH), The Case Management Department worked with the Orthopedic Clinical Performance Management (CPM) Team and adapted a Risk Assessment and Prediction Tool (RAPT) from Australia.  CPM recognized that the shift from Rehab/LTC options needed a focused approach. The goal of this predictive modeling was to maintain or even improve length of stay (LOS) while managing patient expectation and maximizing patient satisfaction. A Preadmission Case Management Total Joint program for total hip and total knee replacements was developed.  This adapted prediction tool has been utilized by the Case Manager to guide discussion with patients preoperatively to identify their discharge needs and develop a comprehensive discharge plan in which they have the opportunity to take an active role in their preferences for post acute care services. Specifics around developing and utilizing this predictive tool and outcomes measured as well as lessons learned will be shared with interested conference participants. Objectives: Identify the steps developed, incorporating the Risk Assessment and Prediction Tool (RAPT), to align patient preadmission expectation with their predicted discharge outcome; and, therefore, improve the inpatient discharge process for total joint replaceme   Discuss the methods utilized in the preadmission orthopedic case management total joint program for patient education to empower the patient to be able to make informed decisions in their discharge planning.   Demonstrate the effectiveness of a standardized approach that the RAPT can drive: • Impact on hospital length of stay (LOS), compared to a control group. • Desired shift from rehab to snf disposition to meet regulatory changes.