Jaap Suermondt

Biography

Jaap Suermondt is Director of Healthcare Research at HP Labs, HP’s central research organization. His research spans analytics, electronic health records, personalization, data mining, information management, decision support systems, patient safety, and operational efficiency.

From 2008 through 2010, he started up and directed the Business Optimization Lab at HP Labs, leading a group of researchers and managers in analytics with expertise in data mining and the decision sciences, operations research, algorithms, statistics, personalization, marketing science and economics, as well as a large extended team of developers, students, contractors and international academic partners. His team received the 2009 Franz Edelman Award for achievement in operations research, awarded to Hewlett-Packard Company by the Institute for Operations Research and Management Science (INFORMS), honoring the best application of operations research in the world. 

Dr Suermondt has a B.Sc. in mathematical and computational science from Stanford University and a Ph.D. in Medical Information Sciences from Stanford University School of Medicine. He is an inventor on over 30 patents, and is a Fellow of the American College of Medical Informatics.

 

Research interests

Systems to improve patient safety, operational efficiency, and patient and staff experiences;
Situational awareness in healthcare, ranging from non-intrusive monitoring to new collaboration and communication methods;
Analytics, including personalization, data mining & machine learning, information management, and reasoning under uncertainty;
Clinical informatics, electronic health records, and decision support systems
  

Awards

Elected Fellow, American College of Medical Informatics

Martin Epstein Award for best student paper in Medical Informatics, Sixteenth Symposium on Computer Applications in Medical Care, American Medical Informatics Association

Phi Beta Kappa, Stanford University

Publications

SELECT PUBLICATIONS:

Kogelnik, A. M., Sharek, P. J., Longhurst, C., Suermondt, J., & Butte, A. J. (2009). Automated Risk Assessment for Prediction of Pediatric Adverse Events. AMIA 2009: Annual Symposium of the American Medical Informatics Association, November 14-18, 2009, San Francisco, California, USA

Forman GH, Eshghi K, and Suermondt J. Efficient Detection of Large Scale Redundancy in Enterprise File Systems. ACM SIGOPS Operating Systems Review, 43 (1), 2009, 84-91.

Suermondt, J, Ohno-Machado, L, Evans, RS (Eds.), AMIA 2008 Annual Symposium Proceedings, Biomedical and Health Informatics: From Foundations to Applications to Policy, Washington DC: American Medical Informatics Association, 2008.

Teich, JM, Suermondt, J, Hripcsak, G (Eds.) AMIA 2007 Annual Symposium Proceedings, Biomedical and Health Informatics: From Foundations to Applications to Policy, Chicago, IL: American Medical Informatics Association, 2007.

Forman, GH, Kirshenbaum, ER, and Suermondt, HJ.  Pragmatic Text Mining: Minimizing Human Effort to Quantify Many Issues in Call Logs.  Proceedings KDD'06. Philadelphia: ACM, 2006.

Wilkes, John, Mogul, Jeff, and Suermondt, Jaap. Utilification. Proc. 11th ACM SIGOPS European WS. Leuven, Belgium: ACM, 2004.

Kirshenbaum, Evan, and Suermondt, HJ. Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function. In Deb, K. et al, Eds., Proc. Genetic and Evolutionary Computation Conference GECCO 2004. Seattle, WA: Springer, 2004, pp. 543-556.

Mohr DN, Carpenter PC, Claus PC, Fisk T, Goodnature DJ, Hagen P, Halloran MJ, Higgins MC, Suermondt HJ, VanScoy R, Young CY. The development of a modular, component-based, electronic medical record system. Proc HIMSS '97. San Diego, CA: HIMSS, 1997, 1:33-43.

Elkin, PL, Mohr, DN, Tuttle, MS, Cole, WG, Atkin, GE, Keck, K, Fisk, TB, Kaihoi, BH, Lee, KE, Higgins, MC, Suermondt, HJ, Olson, N, Claus, PL, Carpenter, PC, Chute, CG. Standardized problem list generation, utilizing the Mayo canonical vocabulary embedded within the Unified Medical Language System. In Masys, DR, Ed., Proceedings of the 1997 AMIA Annual Fall Symposium, 1997, 500-504.

Henrion, M, Suermondt, HJ, and Heckerman, D. Probabilistic and Bayesian Representations of Uncertainty in Information Systems: A Pragmatic Introduction. In Motro, A, and Smets, P, Eds., Uncertainty Management in Information Systems. Boston: Kluwer, 1997, 255-284.

Suermondt, HJ. Decision Support Systems. In Van Bemmel, J, McCray, A, Eds., Yearbook of Medical Informatics 96. Berlin: Schattauer, 1996, pp 367-370.

Rotman, BL, Sullivan, AN, McDonald, TW, Brown, BW, DeSmedt, P, Goodnature, D, Higgins, MC, Suermondt, HJ, Young, C, and Owens, DK. A randomized controlled trial of a computer-based physician workstation in an outpatient setting: implementation barriers to outcome evaluation. Journal of the American Medical Informatics Association, 3 (1996) 340-348

Rotman BL, Sullivan AN, McDonald T, De Smedt P, Goodnature D, Higgins MC, Suermondt HJ, Young C, Owens DK. A randomized evaluation of a computer-based physician's workstation: Design considerations and baseline results. In Gardner, RM, Ed., 19th Annual Symposium on Computer Applications in Medical Care, New Orleans. Hanley and Belfus, 1995, pp. 693-697.

Tang PC; Annevelink J; Suermondt HJ; Young CY. Semantic integration of information in a physician's workstation. International Journal of Bio-Medical Computing, 1994 Feb, 35(1):47-60.

Rotman BL, McDonald TW, Suermondt HJ, De Smedt P, Strong PC, Young CY, Owens DK. Computer-based detection of drug interactions in an ambulatory care practice. Medical Decision Making 14 (1994): 440

Druzdzel, MJ, and Suermondt, HJ. Relevance in Probabilistic Models: 'Backyards' in a 'Small World'. In Greiner, R. and Subramanian, D., Eds., Proc. AAAI Fall Symposium on Relevance. New Orleans: American Association for Artificial Intelligence, 1994, 60-63.

Pham, TQ, Young, CY, Tang, PC, Suermondt, HJ, Annevelink, J. Implementing a Physician's Workstation using Client/Server Technology and the Distributed Computing Environment. In Ozbolt, JG, Ed., 18th Symposium on Computer Applications in Medical Care. Hanley and Belfus, 1994, 626-630.

Suermondt, HJ, Tang, PC, Strong, PC, Young, CY and Annevelink, J, Automated Identification of Relevant Patient Information in a Physician's Workstation, In: Safran, C., Ed., Proceedings of the Seventeenth Symposium on Computer Applications in Medical Care 1993, 229-232.

Suermondt HJ and Cooper GF. An evaluation of explanations of probabilistic inference. Computers and Biomedical Research, 26: 242-254, 1993.

Suermondt, HJ, Howard, SK, Gaba, DM, Cooper GF. The role of explanation on the effects of decision support on diagnostic accuracy. Anesthesiology 76: A560, 1992.

Suermondt, HJ, Cooper GF, and Heckerman DE. A combination of cutset conditioning with clique-tree propagation in the Pathfinder system. In Bonissone PP, Henrion M, Kanal LN, Lemmer JF, eds., Uncertainty in Artificial Intelligence 6. Elsevier, 1991, pp 245-253.

Suermondt HJ and Cooper GF. A combination of exact algorithms for inference on Bayesian belief networks. International Journal of Approximate Reasoning 5: 521-542, 1991.

Suermondt HJ and Cooper GF. Probabilistic Inference in Multiply Connected Brief Networks Using Loop Cutsets. International Journal of Approximate Reasoning 4: 283-306, 1990.

Suermondt HJ and Cooper GF. Initialization for the method of conditioning in Bayesian belief networks. Artificial Intelligence 50: 83-94, 1989.

Horvitz, EJ, Suermondt, HJ, Cooper GF. Bounded conditioning: Flexible Inference for Decisions under Scarce Resources. Fifth Workshop on Uncertainty in Artificial Intelligence, Windsor, Ontario: 182-193. 1989.

Suermondt, HJ and Amylon, MD. Probabilistic Prediction of the Outcome of Bone-Marrow Transplantation. Thirteenth Annual Symposium on Computer Applications in Medical Care, Washington, DC: 208-212. 1989.

Beinlich IA, Suermondt HJ, Chavez RM, and Cooper GF. The ALARM Monitoring System: A Case Study with Two Probablistic Inference Techniques for Belief Networks. Second European Conference on Artificial Intelligence in Medicine, London: 38:247-256. 1989.

Suermondt, HJ and Cooper, GF. Updating probabilities in multiply connected belief networks. In: Fourth Workshop on Uncertainty in Artificial Intelligence, Minneapolis, 1988, 335-343.

Patents

33

Professional activities

Editorial Board, JAMIA, 2010-present

Program Chair, 2008 AMIA Annual Symposium, American Medical Informatics Association (Washington DC);

Vice Chair (Foundations), 2007 AMIA Annual Symposium (Chicago, IL); 

American Medical Informatics Association (AMIA): Chair, Clinical Informatics Taskforce, 2011-present; Member, Audit Committee, 2010-present; Chair, AMIA Representation Taskforce, 2010;  Chair, Working Group Steering Committee, 2004-2008 (oversight over 20 working groups for 3,000+ members); Chair, Membership Committee, 1999-2003; Member, Global Trial Bank Steering Committee, 2005-2006; Working Group Steering Committee, 2000-present; Membership Committee, 1994-2008; Scientific Program Committee, AMIA Fall Symposium, 2008, 2007, 2003, 2002, 2001; Co-sponsorships and Endorsements Committee, 2001-2004; Symposium Taskforce, 2002; Publications Committee, 1994-1999; Member of working groups in Knowledge Discovery & Data Mining, Natural Language Processing, Prevention and Public Health, and Clinical Information Systems.

Program Committee, Conference on Uncertainty in Artificial Intelligence (UAI), 1996-2001, 2003-2006.

Editor, 1996 Yearbook of Medical Informatics, section on Decision Support Systems

Reviewer for multiple professional journals and conferences, including Journal of Biomedical Informatics, Artificial Intelligence, International Journal of Approximate Reasoning, HP TechCon, IEEE Expert, IJCAI, Journal of the American Medical Informatics Association, Conference on Uncertainty in Artificial Intelligence, Symposium on Computer Applications in Medical Care, AMIA Fall Symposium; IMIA Yearbook of Informatics