Kai Zheng, Ph.D., is jointly appointed as Associate Professor of Health Management and Policy in the School of Public Health and Associate Professor of Information in the School of Information at the University of Michigan. He is also affiliated with the University of Michigan's School of Nursing, Michigan Institute for Clinical and Health Research, Medical School Department of Computational Medicine and Bioinformatics, and Center for Entrepreneurship. He co-directs the Bio-Repository and Biomedical Informatics Core of the University of Michigan Health System and Peking University Health Science Center Joint Institute for Translational and Clinical Research.
Zheng's research draws upon techniques from the fields of information systems and human–computer interaction to study the use of information, communication, and decision technologies in patient care delivery and management. His recent work has focused on topics related to interaction design, workflow and sociotechnical integration, and diffusion and evaluation of health information technologies. His publications appear in venues including the Journal of the American Medical Informatics Association, the Association for Computing Machinery Conference on Human Factors in Computing Systems, and the Association for Computing Machinery Conference on Computer Supported Cooperative Work.
Zheng received his Ph.D. degree from Carnegie Mellon University where his dissertation entitled ``Design, Implementation, User Acceptance, and Evaluation of a Clinical Decision Support System for Evidence-Based Medicine Practice'' won the University's 2007 William W. Cooper Doctoral Dissertation Award in Management or Management Science. He is a member of the American Medical Informatics Association, the Association for Information Systems, and the Association for Computing Machinery, and a founding member of the China Health Policy and Management Society. He is the recipient of the 2011 American Medical Informatics Association New Investigator Award that recognizes early informatics contributions and significant scholarly contributions on the basis of scientific merit and research excellence.
HMP605: Health Information Technology
HMP648: Empirical Methods for Health informatics
HMP669: Database Systems and Internet Applications in Health Care
HMP696: Concepts in Health Informatics
Ph.D., Information Systems, Carnegie Mellon University, 2006
B.E., Electrical Engineering, Shanghai Jiaotong University, 1999
Research Interests & Projects
Using Health IT in Practice Redesign: Impact of Health IT on Workflow. This project will use a mixed methods approach to develop a comprehensive understanding of the impacts of health IT on healthcare workers' workflow processes. AHRQ, PI.
Developing an Intelligent and Socially Oriented Search Query Recommendation Service for Facilitating Information Retrieval in Electronic Health Records. The project proposes to develop an intelligent search query recommendation service to facilitate information retrieval among clinical narratives stored in electronic health records. NIH/NLM, PI.
Assessing the Effect of a Handheld Decision-Support Device for Reducing Medication Errors. This project aims to deploy and evaluate a handheld device for reducing dosing errors in administering intravenous and other liquid medications at the bedside. DoD/TATRC, PI.
Developing a Comprehensive National Kidney Registry for the Department of Veterans Affairs. This project will develop a dynamic, integrated and comprehensive kidney disease registry in response to the Department of Veterans Affairs Innovation Initiative (VAi2) primarily to improve access to care, performance, quality and reduce costs related to kidney disease. Veterans Affairs, Co-Investigator.
Clinical Workflow Analysis Tool (CWAT). The CWAT tool integrates a set of new analytical methods consisting of workflow fragmentation assessments, pattern recognition, data visualization, and a Markov-chain model to uncover hidden regularities embedded in clinical workflow. Website: http://zen.sph.umich.edu/cwat/.
The Clinical Reminder System (CRS). CRS is an evidence-adaptive clinical decision-support system (CDSS) that aims to improve the quality of patient care by providing clinicians just-in-time alerts and advisories based on best known scientific medical evidence and individual patients' health descriptors and treatment conditions. Website: http://zen.sph.umich.edu/crs/. Demo instructions: http://zen.sph.umich.edu/crs/manual.pdf.
Search PubMed for publications by Kai Zheng >>
Hanauer DA, Zheng K, Singer DC, Gebremariam A, Davis MM. Public awareness, perception, and use of online physician rating sites. JAMA. 2014;311(7):734–5.
Hilligoss B, Zheng K. Chart Biopsy: An emerging medical practice enabled by electronic health records and its impacts on emergency department–inpatient admission handoffs. Journal of the American Medical Informatics Association. 2013;20(2):260–7.
Mamykina L, Vawdrey D, Stetson P, Zheng K, Hripcsak G. Clinical documentation: Composition or synthesis? Journal of the American Medical Informatics Association. 2012;19(6):1025–31.
Zheng K, Fear K, Chaffee BW, Zimmerman CR, Karls EM, Gatwood JD, Stevenson JG, Pearlman MD. Development and validation of a survey instrument for assessing prescribers' perception of computerized drug–drug interaction alerts. Journal of the American Medical Informatics Association. 2011;18(Suppl 1):i51–61.
Zheng K, Hanauer DA, Padman R, Johnson MP, Hussain AA, Ye W, Zhou X, Diamond HS. Handling anticipated exceptions in clinical care: Investigating the benefits and consequences of providing 'exit strategies' in an electronic health records system. Journal of the American Medical Informatics Association. 2011;18(6):883–9.
Zheng K, Guo M, Hanauer DA. Using the time and motion method to study clinical work processes and workflow: Methodological inconsistencies and a call for standardized research. Journal of the American Medical Informatics Association. 2011;18(5):704–10.
Zheng K, Mei Q, Hanauer DA. Collaborative search in electronic health records. Journal of the American Medical Informatics Association. 2011;18(3):282–91. [poster, link to study website]
Zheng K, Haftel HM, Hirschl RB, O'Reilly M, Hanauer DA. Quantifying the impact of health IT implementations on clinical workflow: A new methodological perspective. Journal of the American Medical Informatics Association. 2010;17(4):454–61. [poster, link to study website]
Zheng K, Padman R, Krackhardt D, Johnson MP, Diamond HS. Social networks and physician adoption of electronic health records: Insights from an empirical study. Journal of the American Medical Informatics Association. 2010;17(3):328–36.
Zheng K, Padman R, Johnson MP, Diamond HS. An interface-driven analysis of user interactions with an electronic health records system. Journal of the American Medical Informatics Association. 2009;16(2):228–37.
American Medical Informatics Association (AMIA)
Association for Computing Machinery (ACM)
China Health Policy and Management Society (CHPAMS, founding member)