Publications by authors named "Senthujan Senkaiahliyan"

Importance: Health systems worldwide are facing several contextual challenges threatening their sustainability, including aging populations with complex health care needs, workforce shortages, and persistent health disparities, which are driving health care costs. Optimizing health systems to respond to contextual challenges and offer quality care for all requires innovative frameworks like value-based health care (VBHC) and high-value health systems (HVHS) frameworks that focus on improving patient outcomes while minimizing costs.

Objective: To examine how value-based initiatives have been introduced in health systems worldwide.

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Artificial intelligence (AI) is poised to become a significant disruptive force in healthcare delivery, setting new standards by automating routine tasks and introducing AI-informed care models that could redefine the roles of physicians. However, this transformation presents significant challenges, including potential overdiagnosis, increased costs to consumers, environmental impacts, and distributional consequences as market power is transferred from current entities (e.g.

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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.

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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.

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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.

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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.

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