About
Jiahui Mo received a Ph.D. in Management Science from the University of Texas at Dallas. She is an Assistant Professor in the Department of Management at the Wilbur O. and Ann Powers College of Business, Clemson University. In 2025, she received the Junior Researcher Award of Wilbur O. and Ann Powers College of Business. She has published four papers in top-tier MIS journals, all of which are included in the UTD 25 and FT 50 journal lists. Her studies integrate applied econometrics, experimental methods, machine learning, large language models, text mining, and image analysis. Recently, she has expanded her expertise in machine learning and business analytics to the healthcare domain. Her research in this area primarily examines how emerging technologies, such as AI, and digital platforms, such as online health communities, influence department operations, physician performance, and patients’ behaviors. For example, in one project, she investigates whether and how AI-generated patient admission summaries enhance doctors’ efficiency in diagnosing conditions and improving patient interactions. In collaboration with a hospital in Asia, she examines the impact of online health community adoption by individual physicians on inpatient admissions at the departmental level. Another study explores how supports from other members in online health communities affects patient adherence to medication, particularly when remote communication with doctors is limited. Overall, her research provides valuable insights for hospitals and healthcare providers on improving operational efficiency, expanding patient access to care, and addressing resource shortages while improving service quality.
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How their research is transforming health care
Recently, she has expanded her expertise in machine learning and business analytics to the healthcare domain. Her research in this area primarily examines how emerging technologies, such as AI, and digital platforms, such as online health communities, influence department operations, physician performance, and patients’ behaviors. With the emergence of new IT technologies and digital platforms, healthcare industries are undergoing significant transformation. Her research aims to help various healthcare stakeholders better understand the impact of digital transformation on the industry and identify strategies to improve operational processes in response to these changes. For example, in one working-in-progress project, she investigates whether and how AI-generated patient admission summaries enhance doctors’ efficiency in diagnosing conditions and improving patient interactions. In collaboration with a hospital in Asia, she examines the impact of online health community adoption by individual physicians on inpatient admissions at the departmental level. Another study explores how supports from other members in online health communities affects patient adherence to medication, particularly when remote communication with doctors is limited. Overall, her research provides valuable insights for hospitals and healthcare providers on improving operational efficiency, expanding patient access to care, and addressing resource shortages while improving service quality.
Health Research Expertise Keywords
Health IT, Healthcare operations, Online healthcare communities, Healthcare analytics, Digital transformation in healthcare, Artificial intelligence in healthcare, Patient-doctor communication, Operation Efficiency, Provider performance, Patient satisfaction
