| Autor: |
North, Sara E., Kosior, Ken, Altenburger, Peter, Binder-Macleod, Stuart, Brechter, Jacklyn, Deoghare, Harsha, Topp, Kimberly |
| Předmět: |
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| Zdroj: |
Journal of Physical Therapy Education (Lippincott Williams & Wilkins); 2023 Supplement, Vol. 37, p1-9, 9p |
| Abstrakt: |
Background and Purpose. Data analytics are increasingly important in health professions education to identify trends and inform organizational change in rapidly evolving environments. Unfortunately, limitations exist in data currently available to determine physical therapy (PT) academic excellence. It is imperative that the American Council of Academic Physical Therapy (ACAPT) be able to demonstrate datainformed progress in addressing the common challenges faced by Doctor of Physical Therapy programs. Position and Rationale. The Task Force to Explore Data and Technology to Evaluate Program Outcomes was convened by ACAPTto explore current and desired data and the needs, technology, and costs that would be required for ACAPT to assess program outcomes relative to excellence criteria. The Task Force performed a gap analysis of measures of excellence, provided evidence-based recommendations for advancing the use of data and technology systems in academic PT, and generated a comprehensive Assessment ExcellenceMap that subsequently led to a new streamlined Excellence Framework in the launch of the ACAPT Center for Excellence. Discussion and Conclusion. The vision of universal excellence in PT education necessitates clear alignment and centralization of common data to support efficient processes to assess excellence. The transformative nature of data is untapped in PT academic endeavors, and nascent work to establish and sustain a culture of centralized data sharing and assessment will help to drive program-level and professionlevel excellence in PT education. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
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