The goal of this training program is to bring systems engineering students and faculty into the healthcare field through the discipline of clinical informatics, which we believe is a natural fit, and to break down the barriers between systems engineering and healthcare research through close collaboration over common research goals. The National Academy of Engineering (NAE) and Institute of Medicine (IOM) 2005 report entitled "Building a Better Delivery System: A New Engineering/Health Care Partnership" identified system failures in current healthcare delivery and recommended an interdisciplinary approach to solving these problems based on information technology and systems engineering (SE). It identified key barriers to this strategy, including differences between the healthcare and engineering disciplines in "methods, metrics, values and mind-sets." We propose a new strategy for research training in clinical informatics responding directly to the problems identified in the report. This strategy builds on existing successful collaborations between the Department of Systems and Information Engineering in the School of Engineering and Applied Science at the University of Virginia (UVa) and several units in UVa's School of Medicine, including the Division of Clinical Informatics in the Department of Public Health Sciences. Our program creates PhD and postdoctoral training opportunities designed to attract students and established researchers from other fields to address challenging clinical informatics questions. The program inherits a framework from the existing substantial SE graduate program, with unique curricular and research components. The core curriculum includes formal introductions to clinical informatics, SE, and the structure and operation of healthcare delivery systems. Subsequent alternative tracks for training include human-automation interaction, computational statistics and simulation, risk and decision analysis, systems integration, and optimization and control. Research projects are collaborative, with trainees having both healthcare and engineering mentors as they conduct research using systems engineering and medical informatics approaches applicable to improved healthcare delivery and training. We anticipate that this collaborative approach to training will lead to fundamental advances in clinical informatics with a trained set of researchers who will continue to develop the field, thereby addressing the needs articulated by the NAE and IOM.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Continuing Education Training Grants (T15)
Project #
3T15LM009462-05S1
Application #
8475980
Study Section
Special Emphasis Panel (ZLM1-AP-T (O1))
Program Officer
Florance, Valerie
Project Start
2007-07-01
Project End
2013-06-30
Budget Start
2011-07-01
Budget End
2013-06-30
Support Year
5
Fiscal Year
2012
Total Cost
$83,803
Indirect Cost
$5,685
Name
University of Virginia
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
065391526
City
Charlottesville
State
VA
Country
United States
Zip Code
22904
Baumgart, Leigh A; Bass, Ellen J; Voss, John D et al. (2015) Effect of pooled comparative information on judgments of quality. IEEE Trans Hum Mach Syst 45:773-781
Hugine, Akilah L; Guerlain, Stephanie A; Turrentine, Florence E (2014) Visualizing surgical quality data with treemaps. J Surg Res 191:74-83
Hughes-Karvetski, Colleen; Patek, Stephen D; Breton, Marc D et al. (2013) Historical data enhances safety supervision system performance in T1DM insulin therapy risk management. Comput Methods Programs Biomed 109:220-5
Bass, Ellen J; DeVoge, Justin Michael; Waggoner-Fountain, Linda A et al. (2013) Resident physicians as human information systems: sources yet seekers. J Am Med Inform Assoc 20:736-42
Meth, Sharon; Bass, Ellen J; Hoke, George (2013) Considering Factors of and Knowledge About Patients in Handover Assessment. IEEE Trans Hum Mach Syst 43:494-498
Bass, Ellen J; Baumgart, Leigh A; Shepley, Kathryn Klein (2013) The Effect of Information Analysis Automation Display Content on Human Judgment Performance in Noisy Environments. J Cogn Eng Decis Mak 7:49-65
Kim, Elmer K; Wellnitz, Scott A; Bourdon, Sarah M et al. (2012) Force sensor in simulated skin and neural model mimic tactile SAI afferent spiking response to ramp and hold stimuli. J Neuroeng Rehabil 9:45
Patek, S D; Magni, L; Dassau, E et al. (2012) Modular closed-loop control of diabetes. IEEE Trans Biomed Eng 59:2986-99
Colligan, Lacey; Guerlain, Stephanie; Steck, Susan E et al. (2012) Designing for distractions: a human factors approach to decreasing interruptions at a centralised medication station. BMJ Qual Saf 21:939-47
Bolton, Matthew L; Bass, Ellen J; Siminiceanu, Radu I (2012) Generating Phenotypical Erroneous Human Behavior to Evaluate Human-automation Interaction Using Model Checking. Int J Hum Comput Stud 70:888-906

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