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Membership Continuing Education
Prescriptive Analytics: Using Data to Progress Functional Goals in Real Time

Publication Date: 7/10/2026


Length: 67 minutes

Content Level: 1 General CE

This course is Approved by the National Association of Social Workers (Approval # 886621095-4084) for 1 continuing education contact hour.

Abstract
In rehabilitation, a lack of sensitive and objective outcomes measures makes it difficult to predict how and where patients will achieve the best, fastest outcomes. As a result, the true value of various levels of post-acute care is unclear. It is imperative that patients receive the best, most appropriate and most efficient level of care, but determining a course of action is not cut and dry. Existing assessment tools in rehabilitation serve as the foundation for determining access to, quality of, and reimbursement for medical rehabilitation services. Yet these very tools represent a minimum data set of patient progress. Long overdue is a quantitative, objective, standardized assessment tool that will reliably measure and even predict patient progress across the full range of rehabilitation and recovery, at all levels. For this reason, we have invested years of development and millions of dollars to develop the Ability Quotient™ (AQ), a novel outcomes assessment system.

Learning Objectives
1. Identify the benefits of having a central data supply to analyze outcomes.
2. Describe how data can be used to measure patient outcomes.
3. Discuss how a novel tool was created to analyze data in real time to improve patient outcomes.

Speakers:
James Sliwa, DO, MHA, RN, CMAC, ACM-RN | Chief Medical Officer and Chief Quality / Safety Officer | Shirley Ryan AbilityLab

Through his medical expertise and leadership, James Sliwa, DO, is focused on driving the highest level of performance for patient care, safety and outcomes. As Chief Medical Officer and Chief Quality and Safety Officer, he is responsible for overseeing patient quality and safety throughout the Shirley Ryan AbilityLab system of care. Dr. Sliwa has been a practicing physician for Shirley Ryan AbilityLab since 1984, specializing in serving a medically complex population. He has also led development of the Ability Quotient™ (AQ) and its implementation into clinical care. He earned his BA from Indiana University and his DO from the Chicago College of Osteopathic Medicine. He completed his residency in Physical Medicine and Rehabilitation at Northwestern University/Shirley Ryan AbilityLab (then the Rehabilitation Institute of Chicago).

Keywords: rehabilitation, assessment tool, case management, implementation, clinical care

Prescriptive Analytics: Using Data to Progress Functional Goals in Real Time

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