Jitendra Singh1, Jin Ye Yeo2
1School of Nursing & Healthcare Leadership, Minnesota State University Moorhead, Minnesota, USA; 2JMAI Editorial Office, AME Publishing Company
Correspondence to: Jin Ye Yeo. JMAI Editorial Office, AME Publishing Company. Email: jmai@amegroups.com
This interview can be cited as: Singh J, Yeo JY. Readers’ Choice: Author Interview with Prof. Jitendra Singh. J Med Artif Intell. 2025. Available from: https://jmai.amegroups.org/post/view/readers-rsquo-choice-author-interview-with-prof-jitendra-singh.
Expert introduction
Prof. Jitendra Singh (Figure 1) is a Professor and Chair of Healthcare Management & Leadership programs at Minnesota State University Moorhead (MSUM). He holds a Doctorate in Health Sciences and a Master’s in Health Administration. He also holds a clinical degree in dentistry. In addition to this, he has a certificate in Bioinformatics, Lean healthcare, and online teaching and learning. In his current position, he has secured accreditation for the Health Administration program, launched completely online programs, and has completed several leadership projects at MSUM. He has presented his work on interprofessional learning and education, Lean healthcare, active learning strategies, and team-based learning activities in an online format and teaching and learning at international and national conferences. He has utilized qualitative, quantitative, and mixed-method approaches in his research projects. He also serves on the editorial board of several peer-reviewed journals and national/international healthcare conferences. He has earned numerous accolades, including MSUM’s University Scholars Award, the USDLA’s Outstanding Leadership and High-Quality Research Award, and the Award for Excellence in E-Education, recognizing his significant contributions to healthcare leadership and education.
Prof. Singh’s article, “Artificial intelligence, chatbots and ChatGPT in healthcare—narrative review of historical evolution, current application, and change management approach to increase adoption”, published in our journal, has received an outstanding readership and entered the journal’s Most Read Article List.
Figure 1 Prof. Jitendra Singh
Interview
JMAI: What inspired your transition from clinical dentistry to health services administration and academia?
Prof. Singh: I have always been intrigued by the role of managers and leaders in healthcare organizations. During my graduate studies in Health Sciences and Health Administration, my interest deepened, particularly in research areas such as quality and patient safety, telehealth, process improvement, and the use of artificial intelligence (AI) in healthcare. When I transitioned into a faculty and research role in healthcare management, I became committed to preparing the next generation of healthcare professionals to tackle the challenges of an ever-evolving healthcare landscape.
JMAI: How do you see online learning evolving in healthcare education?
Prof. Singh: There is a pressing need for more comprehensive online healthcare programs that address the workforce shortages, particularly in rural facilities and long-term care organizations. Currently, there are limited opportunities to bring healthcare professionals from various disciplines together in meaningful ways to improve patient care, enhance communication, foster collaboration, and build strong teamwork. High-quality online programs that incorporate interdisciplinary learning are essential to bridging this gap. These programs can equip future leaders with the knowledge and skills needed to make a lasting impact on healthcare systems.
JMAI: Your article on the use of AI, chatbots, and ChatGPT in healthcare (1) has received outstanding readership. What inspired you to explore this topic?
Prof. Singh: With a background in clinical, administrative, and research roles, particularly in healthcare leadership, I continue to explore and examine the latest advancements that can significantly impact healthcare delivery. AI stands out as one of the most transformative technological innovations, with the potential to revolutionize the healthcare sector. Through my close work with clinicians and administrators, I recognize AI's capacity to influence both clinical and administrative practices, offering opportunities to enhance efficiency and care delivery across healthcare systems globally. I firmly believe that integrating AI into daily healthcare operations can improve service delivery, support better decision-making, and ultimately enhance patient outcomes.
JMAI: In your article, you discuss change management strategies for increasing AI adoption in healthcare. What are the biggest barriers to AI adoption, and how can they be addressed?
Prof. Singh: Through our research, we have found that many healthcare leaders, especially those working in senior support services, require guidance and frameworks to effectively integrate AI into their daily operations. Both clinical and non-clinical staff need to understand how AI will benefit them in the long term. Building support for this change may involve creating a sense of urgency, celebrating small wins, and taking a strategic management approach to foster buy-in from employees at all levels.
JMAI: What future research directions do you see in the intersection of AI, healthcare administration, and patient care?
Prof. Singh: I believe there is a need for further work in the areas of AI regulations, developing education programs to support AI implementation, and establishing the necessary structures and support mechanisms to facilitate AI adoption. As AI and Health IT continue to evolve, the urgency for regulations to protect sensitive information and ensure patient privacy grows, especially in healthcare. In a recent research project where we interviewed healthcare leaders and administrators, participants highlighted that while AI has the potential to significantly transform healthcare, its implementation presents challenges, particularly in smaller, understaffed clinics and rural facilities. These areas would benefit the most from AI, but the demanding schedules of workers make it difficult to allocate time for training on how to use these tools effectively. Additionally, healthcare leaders often lack the guidance and frameworks required to successfully integrate AI into their operations. For both clinical and non-clinical staff to understand the long-term benefits of AI, it is essential to build support for this change. This can be achieved by creating a sense of urgency, celebrating small wins, and adopting a strategic management approach to secure buy-in from employees at all levels.
Reference
- Singh J, Sillerud B, Singh A. Artificial intelligence, chatbots and ChatGPT in healthcare—narrative review of historical evolution, current application, and change management approach to increase adoption. J Med Artif Intell 2023;6:30.