Physical and Cognitive Workload Reduction via Order Set Optimization in Clinical Information Systems
19 Dec 2017 Tuesday, 10:30 AM to 12:00 PM
COM2 Level 4
Executive Classroom, COM2-04-02
Increasing deployment and usage of clinical information systems and the resulting availability of vast amounts of detailed patient data in electronic databases are challenging clinicians' ability to utilize them effectively at the point of decision-making. In particular, addressing clinical and cognitive challenges in assessing and responding to many patients' adverse health risks and related complications are difficult, high-dimensional information processing problems faced by time-constrained clinicians. An important and relevant example is the use of 'Order Sets', a critical component in hospital information systems that is expected to substantially improve patient safety and reduce physicians' physical and cognitive workload associated with order placement. Order sets represent time interval-clustered order items that are administered to patients during their hospital stay, such as medications prescribed at inpatient admission. This talk presents recent research on optimizing such complex order placements using a mathematical programming model and exact and heuristic solution procedures with the objective of minimizing physicians' cognitive and physical workload associated with the ordering process. Using order data on Asthma patients from a major pediatric hospital, we provide structural insights into the problem and computational results that compare the hospital's current solution with the exact and heuristic solutions on a variety of performance metrics. We demonstrate that combining healthcare informatics with large-scale data analytics is a promising approach to deliver substantial cognitively-guided information to clinicians for improving inpatient care delivery and outcomes.
Rema Padman is Professor of Management Science and Healthcare Informatics in the H. John Heinz III College at Carnegie Mellon University in Pittsburgh. She is also Thrust Leader of Healthcare Informatics Research at iLab and Research Area Director for Operations and Informatics at the Center for Health Analytics at the Heinz College, and Adjunct Professor in the Department of Biomedical Informatics at the University of Pittsburgh School of Medicine. She received B.Tech. in Chemical Engineering from the Indian Institute of Technology, Kanpur, India, PhD in Operations Research from the University of Texas at Austin and National Library of Medicine Senior Fellowship in Applied Informatics from The University of Pittsburgh School of Medicine.
Dr. Padman's current research investigates healthcare analytics and operations, data-driven decision support, and process modeling and risk analysis, in the context of clinical (using Electronic Health Records) and consumer-facing information technology interventions in healthcare delivery and management, such as e-health, m-health, chronic and infectious disease management, and workflow analysis. She has developed, applied, and evaluated models and methods drawn from optimization, machine learning, statistics and behavioral science for designing and investigating these IT interventions in the inpatient, ambulatory, and consumer self-health management settings. She has published extensively, served on editorial boards of major academic journals, and has been funded by the US Veterans Administration, National Institutes of Health, Centers for Disease Control and Prevention, and the US-Israel Binational Science Foundation, among others. She has received several Best Paper and Best Poster awards at conferences, the IBM Faculty Award, and CMU Teaching Excellence awards, including the 2017 Martcia Wade Teaching Award at the Heinz College. She has been a visiting professor at universities in the United Kingdom, Germany, Singapore, Israel and India, and a keynote speaker at several conferences, including the First International Association for Computing Machinery (ACM) Conference on Women in Computing in 2010. She was recently recognized as one of the top 110 women in MedTech by Becker's Hospital Review:
Dr. Padman has served on proposal review panels for US and international funding agencies, including the National Institutes of Health, National Science Foundation, Agency for Healthcare Research and Quality and the American Association for Advancement of Science in the US, the Medical Research Council in the UK, and the Swiss National Science Foundation. She has advised healthcare informatics projects for organizations such as IBM Research, Johnson & Johnson, Deloitte Consulting, Central Blood Bank, Veterans Administration Health System, GlaxoSmithKline, Jewish Healthcare Foundation, Ernst & Young, Wounded Warrior Project, and major Pittsburgh hospitals. She is a member of the American Medical Informatics Association, The Institute for Operations Research and Management Science, Association for Computing Machinery, Healthcare Information and Management Systems Society, Association for Information Systems, and American Association for the Advancement of Science.