A visionary leader pioneering advances in biomedical informatics.
Albert M. Lai, PhD, FACMI, FAMIA
Deputy Director, Institute for Informatics, Data Science and Biostatistics (I2DB)
Chief Research Information Officer, WashU Medicine
Professor of Medicine, Division of General Medicine & Geriatrics
Professor of Computer Science and Engineering, School of Engineering and Applied Science
A pioneer in the field of biomedical informatics, Albert M. Lai, PhD, is the chief research information officer (CRIO) for Washington University School of Medicine in St. Louis, where he is also the deputy director of the Institute for Informatics, Data Science and Biostatistics (I2DB), a professor of medicine in the Division of General Medicine & Geriatrics and a professor of computer science and engineering in the School of Engineering and Applied Science.
He was most recently tapped to become deputy faculty lead for WashU Digital Transformation, a product of WashU’s new university-wide strategic plan, and its new Digital Intelligence and Innovation (DI2) Accelerator. This role has included empowering faculty, staff and students to use cutting-edge generative AI tools both rapidly and responsibly by standing up a secure WashU ChatGPT sandbox for use with sensitive clinical, student and operational data.
In his role as the medical school’s CRIO, he leads School of Medicine data warehousing and informatics core services, which provide data brokerage and other resources that are accelerating the speed of discovery and innovation for researchers across the institution and beyond. Dr. Lai specializes in the development of research informatics infrastructure and is well-recognized in the fields of clinical research informatics and consumer health informatics. His recent research has focused on the use of large language models and natural language processing to extract complex clinical phenotypes.
- Artificial Intelligence and Healthcare – applications of AI and Generative AI in healthcare
- Clinical Research Informatics
- Data Lakes for Healthcare / Clinical Data Warehousing
View publications and research interests on Research Profiles »
- Association Between Socioeconomic Factors, Race, and Use of a Specialty Memory Clinic
Lewis, A., Gupta, A., Oh, I., Schindler, S. E., Ghoshal, N., Abrams, Z., Foraker, R., Snider, B. J., Morris, J. C., Balls-Berry, J., Gupta, M., Payne, P. R. O. & Lai, A. M., Oct 3 2023, In: Neurology. 101, 14, p. E1424-E1433 - Electronic health record data quality assessment and tools: a systematic review
Lewis, A. E., Weiskopf, N., Abrams, Z. B., Foraker, R., Lai, A. M., Payne, P. R. O. & Gupta, A., Sep 25 2023, In: Journal of the American Medical Informatics Association : JAMIA. 30, 10, p. 1730-1740 11 p. - Extraction of clinical phenotypes for Alzheimer’s disease dementia from clinical notes using natural language processing
Oh, I. Y., Schindler, S. E., Ghoshal, N., Lai, A. M., Payne, P. R. O. & Gupta, A., Apr 1 2023, In: JAMIA Open. 6, 1, ooad014. - Assessing COVID-19 testing strategies in K-12 schools in underserved populations: study protocol for a cluster-randomized trial
Hayes, S., Malone, S., Bonty, B., Mueller, N., Reyes, S. M., Reyes, S. A., Evans, C., Wilcher-Roberts, M., Watterson, T., Akuse, S., Shelley, J., Yuan, G., Lackey, I., Prater, J., Montgomery, B., Williams, C., Butler-Barnes, S. T., Caburnay, C., Dougherty, N. L. & Lu, E. & 4 others, , Dec 2022, In: BMC Public Health. 22, 1, 1177. - OpenSep: A generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification
Hofford, M. R., Yu, S. C., Johnson, A. E. W., Lai, A., Payne, P. R. O. & Michelson, A. P., Dec 1 2022, In: JAMIA Open. 5, 4, ooac105. - Respiratory support status from EHR data for adult population: Classification, heuristics, and usage in predictive modeling
Yu, S. C., Hofford, M. R., Lai, A. M., Kollef, M. H., Payne, P. R. O. & Michelson, A. P., May 1 2022, In: Journal of the American Medical Informatics Association. 29, 5, p. 813-821 9 p. - Sepsis Prediction for the General Ward Setting
Yu, S. C., Gupta, A., Betthauser, K. D., Lyons, P. G., Lai, A. M., Kollef, M. H., Payne, P. R. O. & Michelson, A. P., Mar 8 2022, In: Frontiers in Digital Health. 4, 848599. - Addressing cancer survivors’ cardiovascular health using the automated heart health assessment (AH-HA) EHR tool: Initial protocol and modifications to address COVID-19 challenges
Foraker, R. E., Davidson, E. C., Dressler, E. V., Wells, B. J., Lee, S. C., Klepin, H. D., Winkfield, K. M., Hundley, W. G., Payne, P. R. O., Lai, A. M., Lesser, G. J. & Weaver, K. E., Jun 2021, In: Contemporary Clinical Trials Communications. 22, 100808. - A pragmatic machine learning model to predict carbapenem resistance
McGuire, R. J., Yu, S. C., Payne, P. R. O., Lai, A. M., Vazquez-Guillamet, M. C., Kollef, M. H. & Michelson, A. P., Jul 2021, In: Antimicrobial agents and chemotherapy. 65, 7, e00063-21. - Comparison of Sepsis Definitions as Automated Criteria
Yu, S. C., Betthauser, K. D., Gupta, A., Lyons, P. G., Lai, A. M., Kollef, M. H., Payne, P. R. O. & Michelson, A. P., Apr 1 2021, In: Critical care medicine. 49, 4, p. E433-E443