Leadership for AI Transformation in Health Care Organization: Scoping Review.

BACKGROUND: The leaders of health care organizations are grappling with rising expenses and surging demands for health services. In response, they are increasingly embracing artificial intelligence (AI) technologies to improve patient care delivery, alleviate operational burdens, and efficiently improve health care safety and quality. OBJECTIVE: In this paper, we map the current literature and synthesize insights on the role of leadership in driving AI transformation within health care organizations. METHODS: We conducted a comprehensive search across several databases, including MEDLINE (via Ovid), PsycINFO (via Ovid), CINAHL (via EBSCO), Business Source Premier (via EBSCO), and Canadian Business & Current Affairs (via ProQuest), spanning articles published from 2015 to June 2023 discussing AI transformation within the health care sector. Specifically, we focused on empirical studies with a particular emphasis on leadership. We used an inductive, thematic analysis approach to qualitatively map the evidence. The findings were reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews) guidelines. RESULTS: A comprehensive review of 2813 unique abstracts led to the retrieval of 97 full-text articles, with 22 included for detailed assessment. Our literature mapping reveals that successful AI integration within healthcare organizations requires leadership engagement across technological, strategic, operational, and organizational domains. Leaders must demonstrate a blend of technical expertise, adaptive strategies, and strong interpersonal skills to navigate the dynamic healthcare landscape shaped by complex regulatory, technological, and organizational factors. CONCLUSIONS: In conclusion, leading AI transformation in healthcare requires a multidimensional approach, with leadership across technological, strategic, operational, and organizational domains. Organizations should implement a comprehensive leadership development strategy, including targeted training and cross-functional collaboration, to equip leaders with the skills needed for AI integration. Additionally, when upskilling or recruiting AI talent, priority should be given to individuals with a strong mix of technical expertise, adaptive capacity, and interpersonal acumen, enabling them to navigate the unique complexities of the healthcare environment.

A Primer on Artificial Intelligence for Healthcare Administrators.

Healthcare administrators steer their organizations' strategic direction with an emphasis on quality, value and efficiency, aiming to improve patient outcomes and ensure operational sustainability. Artificial intelligence (AI) has become a transformative force in healthcare in the past decade, with Canadian health systems and research institutions investing in AI solutions to address critical healthcare challenges. This primer delivers a fundamental guide to essential AI concepts in healthcare and provides practical guidance to prepare organizations for AI readiness.

Addressing the health human resources crisis: Strategies for retaining women health care professionals in organizations.

Globally, healthcare systems are contending with a pronounced health human resource crisis marked by elevated rates of burnout, heightened job transitions, and an escalating demand for the limited supply of the existing health workforce. This crisis detrimentally affects the quality of patient care, contributing to long wait times, decreased patient satisfaction, and a heightened frequency of patient safety incidents and medical errors. In response to the heightened demand, healthcare organizations are proactively exploring solutions to retain their workforce. With women comprising over 70% of health human resources, this study seeks to gain insight into the unique experiences of women health professionals on the frontlines of healthcare and develop a conceptual framework aimed at facilitating organizations in effectively supporting the retention and advancement of women in healthcare frontline roles. We used grounded theory in this qualitative study. From January 2023 to May 2023, we conducted individual semi-structured interviews with 27 frontline HCWs working in Canada and representing diverse backgrounds. The data underwent thematic analysis, which involved identifying and comprehending recurring patterns across the information to elucidate emerging themes. Our analysis found that organizational, professional, and personal factors shape women's intentions to leave the frontline workforce. Reevaluating organizational strategies related to workforce, fostering a positive work culture, and building the capacity of management to create supportive work environment can collectively transform the work environment. By creating conditions that enable women to perform effectively and find satisfaction in their professional roles, organizations can enhance their ability to retain valuable talent.

Addressing Burnout among Healthcare Technology Management Professionals.

This article suggests ways in which healthcare delivery organizations (HDOs) may address and mitigate burnout among healthcare technology management (HTM) professionals. Burnout is defined as a state of emotional and physical exhaustion resulting from workplace stressors. Although not intended to be a fully comprehensive empirical analysis of causes of burnout, this article discusses four likely causes for burnout that are particularly relevant to HTM professionals in HDOs: (1) gaps in developing a trained and sustainable workforce, (2) growing demand for HTM expertise across knowledge domains, (3) increasing occupational stressors related to patient safety, and (4) perceived lack of understanding of employee needs. Next, based on existing literature, the article proposes four possible solutions in response to each of these issues: (1) developing human resource planning and mentoring to ensure adequate transfer of skills and knowledge, (2) implementing ways to accomplish knowledge filtering, (3) integrating HTM workers in quality improvement initiatives, and (4) implementing employee voice practices. The article concludes by discussing the possible benefits that may be derived from implementing these solutions.