About Us

Mission

To improve the practice and delivery of healthcare by offering researched solutions surrounding the introduction and integration of information and decision technologies into the healthcare system. CHIDS’ research focuses on applications and processes that impact safety, quality, access, efficiency and return on investment.

Overview

The Center for Health Information and Decision Systems (CHIDS) at the Robert H. Smith School of Business, University of Maryland is an academia-led effort with collaboration from industry and government affiliates, designed to research, analyze, and recommend solutions to challenges surrounding the introduction and integration of information and decision technologies into the health care system.

Through mutually beneficial partnerships, CHIDS is structured as a research and development center with the goal of conducting rigorous research, disseminating information, managing knowledge, and coordinating collaborations among concerned stakeholders. In addition, CHIDS serves as a focal point for thought leadership around the topic of health information and decision systems. Since its inception in 2005, CHIDS has been creating intelligence around the design, implementation and use of information and decision technologies in the healthcare domain.

CHIDS draws on the expertise of the Decision, Operations and Information Technologies (DO &IT) department at the Smith School, the University of Maryland Medical System, School of Public Health, Behavioral and Social Sciences, and other assets in the University of Maryland network. CHIDS offers the benefit of a world-class staff with hundreds of published manuscripts related to technology implementation, adoption, assimilation, workflow design, decision sciences, and value of IT. The DO&IT department includes information systems, operations management, and management science disciplines and is staffed with over 30 professors and more than 30 PhD students and research assistants. The pool of talent, knowledge and expertise in D&IT is acknowledged by several publications as a Top-5 performer in research production worldwide. The Information Systems group is ranked in the top-10 worldwide in Business Week and U.S. News and World Report.

CHIDS' core team consists of faculty, fellows and students involved in the day-to-day operations and management of the center. In addition to the core team, CHIDS affiliated faculty, the advisory board, and Smith School staff members play key roles for the center in various activities. The CHIDS student fellows provide support in the research process and also lead independent research projects.

CHIDS Team

Ritu Agarwal

Ritu Agarwal

Distinguished University Professor
Robert H. Smith Dean's Chair of Information Systems
Guodong "Gordon" Gao

Guodong "Gordon" Gao

Professor
Co-Director, CHIDS

Michelle Dugas
Senior Research Scientist | Center for Health Information and Decision Systems (CHIDS)

Michelle Dugas is a senior research scientist at CHIDS where she applies her background as a social psychologist to better understand how technology can be leveraged to help people achieve their health goals, address bias and disparities in care, and reduce burdens on providers and patients.

Barney Corwin
Senior Fellow | Center for Health Information and Decision Systems (CHIDS)
Email: bcorwin@rhsmith.umd.edu

Al Nelson
Senior Fellow | Center for Health Information and Decision Systems (CHIDS)
Email: nelsondalan@gmail.com

Des Ponti
Senior Fellow | Center for Health Information and Decision Systems (CHIDS)
Email: desireeponti@gmail.com

Cupid Chan
Senior Fellow | Center for Health Information and Decision Systems (CHIDS)
Email: cchan@pistevodecision.com

Faye Baker
Program Manager | Center for Health Information and Decision Systems (CHIDS)
Email: fbaker@rhsmith.umd.edu

Faye Baker is responsible for coordinating center office administrative activities. She has extensive experience in coordination roles at the Smith School and elsewhere. Currently, she is responsible for the administrative, communication, and social media portfolio for the center.

Yizhe Chen is a first-year graduate student majoring in business analytics at the Robert H. Smith of Business. He completed his undergraduate study at the University of Iowa with BS degrees in actuarial science and statistics. With his experience of learning several analyzing tools including Python, R, and SAS, he is looking forward to contributing to healthcare analytics as a CHIDS member.

Di Hu is a first-year graduate student in information systems at the Robert H. Smith School of Business. She has a BS in information management and information systems with a focus on medical software engineering. Before joining the Smith school, she had one year of research experience in the robotic lab for rehabilitation and healthcare at the Chinese University of Hong Kong, Shenzhen. Her research interests are healthcare information systems, mobile health, and healthcare data analysis. As a research assistant in CHIDS, she hopes to make contributions to improving efficiency for the healthcare industry.

Maya Mudambi is a third-year PhD student in Information Systems from Philadelphia, PA. She holds bachelor's and master's degrees from the University of Pennsylvania. Her current research interests include digital health and strategies aimed at online misinformation and antisocial behaviors. In her free time, she enjoys reading novels, seeing live music, and running.

Kevin Ryan is a first-year graduate student pursuing a Master of Science in Business Analytics at the Robert H. Smith School of Business. He also attended the University of Maryland for his undergraduate studies, earning a degree in materials science and engineering. During that time, he became interested in data science while interning in a lab that specialized in the research and development of sustainable batteries. He is mainly interested in predictive analytics as well as machine learning and hopes to pursue a career where he can use those tools to make an impact regardless of the field. As a research assistant at CHIDS, he is looking forward to contributing to projects that make a difference in the healthcare industry.

Mingwei Sun is a third-year PhD student in information systems at Robert H. Smith School of Business. He holds a master’s degree in quantitative finance from Rutgers University. His research interests center around machine learning and data science. Specifically, he is interested in how to apply machine learning techniques to solve healthcare and business problems.

Lijun Yang graduated with a Master of Science in Information Systems from the Robert H. Smith School of Business. His research interests are the application of natural language processing and machine learning models in the healthcare industry.

Xiang Yang is a first-year graduate student in business analytics at the Robert H. Smith School of Business. With her experience as a GIS data engineer before, she wishes to contribute to the healthcare field by working with CHIDS.

Chuchu Zhang is a first-year Master of Science in Business Analytics student at the Robert H. Smith School of  Business and holds a bachelor's degree in accounting and finance. She is a graduate assistant in CHIDS and wishes to improve and expand her knowledge of using different analytical tools and contribute to the healthcare industry. 

Ellen Zhang is a first-year graduate student studying information systems at Robert H. Smith School of Business. She graduated from UMD with an undergraduate degree in accounting and information systems. Throughout her education at Maryland, she realized the importance of connecting technology to strategy to help organizations achieve competitive advantage and synergy by constant innovation. With different healthcare analytics projects at CHIDS, she is excited to explore ways to create actual impact and continue to discover opportunities for improvement in the healthcare industry.

Li Zhonghao is a business analytics graduate student at the Robert H. Smith School of Business. Before his studies at the University of Maryland, he worked for one and half years in the information technology industry, where he saw the potential of data to improve a company’s efficiency and gain potential profit, the sense of achievement and contribution, along with a passion for computer science, is what drives him to dive into various cutting-edged techniques and models in data science. He is proficient in Python, C, SQL, and Bash. He is adept at mainstream deep learning frameworks like Tensorflow and Pytorch and statistics related methods. Currently, he is working for CHIDS, looking to make an impact in the medical field.

The Center for Health Information and Decision Systems brings together distinguished faculty from the Department of Decision, Operations and Information Technology, other departments at the Robert H. Smith School of Business, and other academic units within the University of Maryland system with special expertise to conduct healthcare-related research. The faculty offers a diverse, multifaceted perspective on health care research issues and challenges.

Corey M. Angst is an assistant professor in the management department at Mendoza College of Business, Notre Dame, Indiana. He was the associate director and co-founder of CHIDS and has contributed significantly to CHIDS' research activities. His major areas of research interest are the transformational effect of IT on the healthcare industry, privacy and other barriers to the adoption of health information technology and technology usage in the healthcare sector.

John S. Baras holds a permanent joint appointment as professor in the department of electrical and computer engineering is the Lockheed Martin Chair in Systems Engineering. Baras' health research IT interests span a range of applied engineering techniques, mathematical models and methods that improve the performance, resiliency and intelligence of systems.

Sean L. Barnes is an assistant professor of operations management in the Robert H. Smith School of Business at the University of Maryland. His current research interests are modeling the transmission of infectious diseases, healthcare operations management, simulation, and complex systems.

Margrét Vilborg Bjarnadóttir, is an assistant professor of management science and statistics in the decision, operations & information technologies department. Bjarnadóttir specializes in operations research methods using large scale data. Her work spans applications ranging from analyzing nationwide cross-ownership patterns and systemic risk in finance to drug surveillance and practice patterns in health care. She has consulted with both health care start-ups on risk modeling using health care data as well as governmental agencies such as a central bank on data-driven fraud detection algorithms.

Timothy B. Gilbert, M.D., is a professor of anesthesiology and associate vice chair for clinical research in the anesthesiology department at the University of Maryland Medical Center. He has special interests in computer applications, respiratory physiology, adult cardiac critical care, echocardiography, and transplant anesthesia.

Bruce Golden is a professor and the France-Merrick chaired professor in management science at the Smith School. His research interests in the healthcare domain are focused on methods for the optimization of different facets of hospital operations.

Kislaya Prasad is a research professor at Smith School and a guest scholar at the Brookings Institution. His current projects and research interests related to healthcare include medical treatment variations and diffusion of technologies in medicine, and physician social networks and medical practice.

Louiqa Raschid is a professor in the decision, operations & information technologies department and at UMIACS of the University of Maryland. She has interests in bioinformatics, data delivery platforms for healthcare, and health data representation and management.

Mei-Ling Ting Lee is a professor in the Department of Epidemiology and Biostatistics and director of the Biostatistics and Risk Assessment Center (BRAC) at the University of Maryland, College Park. With over 35 years of experience, Lee has a broad background in statistical and applied probability modeling with applications to aging studies, cancer, childbirth, epidemiology, microbiology, genomics, and other biomedical areas.

Bo Xie is an associate professor at the University of Texas at Austin. Her research interests include health informatics, older adults' learning and use of computers and the Internet, computer literacy, lifelong learning, civic engagement, volunteering, social relationships, social support, online communities, and health and well-being.

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