Lisa leads the Inpatient Care Coordinators at Texas Children’s Hospital. This team assists in ensuring timely discharges from the hospital and coordinating all post-acute care discharge needs for patients and their families. Lisa’s leadership experience includes Women’s and Children’s services, Quality and Compliance, Solid Organ Transplant, and Care Coordination. Her hobbies include scuba diving, working in the yard, working on her doctoral nursing degree, and spending time with family and friends.
A good predictive model alone won’t yield real-world outcomes. To achieve results, organizations must pair predictive models with effective interventions and delivery tools. In this session, representatives from Texas Children’s Hospital, the largest pediatric hospital in the U.S., will describe a framework for effective predictive model implementation in clinical practice, featuring the organization’s custom Pediatric Readmissions model. By accurately flagging 20 percent of patients as potential readmissions, Texas Children’s was able to apply early interventions and reduce potential readmissions by 5 percent.
Participants will learn:
- The value predictive models add to clinical decision making.
- The tools and interventions needed to maximize predictive models.
- How to effectively implement predictive models in clinical practice.