Jaap Suermondt

Jaap Suermondt

Vice President and Director, Analytics Lab

Biography

Jaap Suermondt is Vice President and Director of the Analytics Lab at HP Labs, responsible for the company’s research investments in big data and analytics systems, technologies, and infrastructure as well as applications and visualization. He has been with Hewlett-Packard since 1992. Dr. Suermondt’s research and management career spans data mining, decision support systems, data de-duplication, electronic health records and patient safety, personalization, and operational efficiency. He 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 40 granted patents, and is a fellow of the American College of Medical Informatics.


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


Publications

SELECT PUBLICATIONS:

  • Pageler, N.M., Longhurst, C.A., Wood, M., Cornfield, D.N., Suermondt, J., Sharek, P.J., Franzon, D. (2014). Use of Electronic Medical Record–Enhanced Checklist and Electronic Dashboard to Decrease CLABSIs. Pediatrics, 133(3), e738-e746.
  • Basu, S., Karp, AH, Jun Li, James Pruyne, Jerry Rolia, Sharad Singhal, Jaap Suermondt,,and Ram Swaminathan. Fusion: Managing Healthcare Records at Cloud Scale, IEEE Computer, 45 (11), November 2012, 42-49.
  • Kayis, E., Wang, H., Patel, M., Gonzalez, T., Jain, S., Longhurst, C., Ramamurthi, R.J., Santos, C., Singhal, S., Suermondt, J., and Sylvester, K. (2012). Improved Prediction of Surgery Duration using Operational and Temporal Factors. AMIA 2012: Annual Symposium of the American Medical Informatics Association, Chicago, IL, USA
  • Wang, H., Kayis, E., Patel, M., Santos, C., Gonzalez, T., Jain, S., Singhal, S., Ramamurthi, R.J., Suermondt, J., and Sylvester, K. (2012). An Integrated Next-Day Operating Room Scheduling System. AMIA 2012: Annual Symposium of the American Medical Informatics Association, Chicago, IL, USA
  • Kirshenbaum, E., Suermondt, J., Pageler, N., Longhurst, C., Wayne, J., Godin, M., Shin, A., Franzon, D. (2012). Enabling Clinicians to Directly Deploy Clinical Logic in a Patient Safety Dashboard. AMIA 2012: Annual Symposium of the American Medical Informatics Association, Chicago, IL, USA
  • 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.