MACRO/POLICY CLUSTER – PROJECT 6
Technology Trends and Smart Interventions to Mitigating Patient Risk at Critical Transitions for Total Joint Arthroplasty
As part of a larger program to incentivize hospitals to shift from a pay-for-service to a pay-for-health-outcome model, the Center for Medicare and Medicaid Services (CMS) is penalizing hospitals with above average risk-adjusted readmission rates for TJA. Not all readmissions are preventable, but they all occur after a patient is discharged and outside the hospital’s direct control. By identifying patient readmission risk prior to discharge, hospitals can tailor effective intervention strategies to improve patient health outcomes and decrease financial risk. By incorporating past readmissions and EHR data, a predictive model can be built to determine risk stratify patients.
Patient readmission risk will inform care provider decisions on appropriate techniques, technologies and intervention strategies to apply to achieve positive health outcomes. By gaining a better understanding of current trends in perioperative technology development, perioperative physician leaders can be equipped with the knowledge and understanding of the complexities of these technological trends, experiences and future demands and needs. This risk-stratification and technology trend information will allow providers to make cost-effective decisions for resource allocation, predict future readmission rates and penalties and ultimately improve coordination of care.
How is this different from related research?
A multifaceted approach employing both engineering and health services research experts will focus on understanding readmission risk and technology trends from the perspective of the end user (provider) and a general process-improvement emphasis. This differs from past research with focus on one particular risk adjustment technique or technology.
- Build a better understanding of hospital readmissions
- Facilitate improved outcomes by using care coordination personnel and technology
- Provide tools to monitor the outcomes of care coordination