A three-hospital Integrated Delivery Network in the Southeast has expanded the application of Jvion’s Cognitive Clinical Success Machine from one vector focused on all-cause readmission to a fully integrated AI asset. Their journey is one of transformation.
Starting with the tactical use of the machine to address capacity challenges, the provider has expanded cognitive machine application to broader strategic initiatives including MSPB and MSSP objectives. The ROI realized from the Cognitive Machine goes beyond payor programs to the core mission of helping patients and improving health. The results are more than a line item in a balance sheet; they represent a competitive advantage in care quality and commitment to the patient community.
|Organizational Goals||Aligned Vectors|
|Create additional capacity to meet demand||All Cause Readmission in 30 days|
|Reduce MSPB to meet MSSP Objectives||CHF Readmission in 30 days|
|High performance on Medicare CHF Bundle||CHF Readmission in 90 days|
Cognitive Machine Adoption Milestones
- Initial Vector Selection and Application
- The provider initially deployed the all-cause readmission vector to a set of three community case managers with the goal of improving efficiency in and the effectiveness of post-discharge calls.
- Initial Vector Performance
- Using the Cognitive Clinical Success Machine, the community case managers were able to better identify and intervene on high-risk patients. This resulted in an 18% drop in readmissions.
- Expanded System Adoption
- A campaign was launched by system leadership to broaden the adoption of the all-cause readmission vector and identify additional areas for cognitive machine adoption.
- New Vector Selection
- Based on leadership input, the provider activated the CHF readmission vector to help optimize length of stay and MSPB/MSSP objectives. The decision was made at this time to fully integrate Jvion’s Cognitive Machine outputs directly into the system’s Cerner EHR including all risk factors and interventions.
Current Machine Performance
With interventions fully integrated into the clinical workflow, the provider has achieved remarkable results. In those facilities with the highest levels of adoption and application of the machine’s recommended actions, readmission rates for target events have dropped as low as 0%. This drop has translated into a decrease in LOS from 5.4 to 4.8.
Across the system, the provider has exceeded their overall goal for all readmissions by 107%. And for CHF, the system has realized up to a 70% decrease in readmissions within the first two months of cognitive machine adoption.