JOURNAL ARTICLE

Health information management and physiotherapy faculty collaboration to discover the use of health informatics hiding in plain sight in an entry-level DPT program.

  • Published In: Health Information Management Journal, 2024, v. 53, n. 1. P. 34 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Gibbs, David; Gibbs, Karen; Hewitt, Barbara 3 of 3

Abstract

This article examines how a Doctor of Physical Therapy (DPT) program at a large U.S. public university identified previously unrecognized health informatics (HI) content within its curriculum to better comply with accreditation requirements set by the Commission on Accreditation in Physical Therapy Education (CAPTE). Using a mixed methods action research approach involving faculty questionnaires, interviews, and syllabus reviews, the study found that many faculty members were initially unfamiliar with CAPTE's HI definition, which emphasizes the use of health information technology to support clinical decision making rather than merely electronic record keeping. The collaboration between physical therapy and health information management faculty led to revisions and additions of student learning objectives (SLOs) that more accurately reflect existing HI content across multiple courses, thereby enhancing faculty understanding and supporting future reaccreditation efforts. The study highlights the importance of explicitly recognizing and integrating HI in health professions education to prepare graduates for data-driven clinical environments.

Additional Information

  • Source:Health Information Management Journal. 2024/01, Vol. 53, Issue 1, p34
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:1833-3583
  • DOI:10.1177/18333583231194750
  • Accession Number:174711849
  • Copyright Statement:Copyright of Health Information Management Journal is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.