JOURNAL ARTICLE
Transforming Leaders and Culture through a Comprehensive Leadership Institute.
Published In: Physician Leadership Journal, 2024, v. 11, n. 5. P. 20 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Cavanaugh, Katelyn J.; DeVeau, Michelle Figliuolo; Schaefer, Catherine C.; Holladay, Courtney L. 3 of 3
Abstract
Recognizing the pressing need for comprehensive leadership development within the ever-evolving healthcare landscape and prompted by a commitment to address challenges to cancer care amid heightened competition and shifting patient expectations, The University of Texas MD Anderson Cancer Center established a Leadership Institute. The Leadership Institute offers a diverse range of programs, including multilevel curricula tracks, coaching, mentoring, and team development initiatives accompanied by change and assessment services. These programs focus on individual skill-building and foster cultural transformation and organizational resilience. The rigorous evaluation employed to measure the impact of the Leadership Institute’s interventions revealed significant benefits such as improved patient experience scores, reduced burnout, increased promotion rates, and lower turnover rates among program participants. Looking forward, the Leadership Institute is committed to embracing agility and leveraging technology to create personalized learning environments that empower leaders to effectively navigate challenges in healthcare. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Physician Leadership Journal. 2024/09, Vol. 11, Issue 5, p20
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2024
- ISSN:2374-4030
- DOI:10.55834/plj.8006872059
- Accession Number:182352733
- Copyright Statement:Copyright of Physician Leadership Journal is the property of American Association for Physician Leadership, 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.)
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