Clinical decision-support systems

Biomedical Informatics: Computer Applications in Health Care and Biomedicine: Fourth Edition

Volumn , Issue , 2014, Pages 643-674

  Musen, Mark A ^a   Middleton, Blackford ^b   Greenes, Robert A ^c,d  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

^d MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

CLINICAL DECISION SUPPORT SYSTEMS;

DECISION SUPPORT SYSTEMS;

EID: 84974655258     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4471-4474-8_22     Document Type: Chapter

References (5)

1. Bright, T. J., Wong, A., Dhurjati, R., Bristow, E., Bastian, L., Coeytaux, R. R., Samsa, G., Hasselblad, V., Williams, J. W., Musty, M. D., Wing, L., Kendrick, A. S., Sanders, G. D., & Lobach, D. (2012). Effect of clinical decision-support systems: A systematic review. Annals of Internal Medicine, 157 (1), 29-43. This thorough analysis of studies of CDS systems demonstrates that there is good evidence that CDS technology can alter clinician behavior in positive ways, but that evidence that CDS systems can improve long-term patient outcomes is still inconclusive. The paper is also useful for its comprehensive bibliography.
2. Greenes, R. A. (Ed.). (2006). Clinical decision support: The road ahead. New York: Academic. This book offers a comprehensive discussion of the nature of medical knowledge and of information technology to assist with medical decision making. It provides detailed discussions of the computational, organizational, and strategic challenges in the design, development, and deployment of CDS systems.
3. Institute of Medicine. (2011). Digital infrastructure for the learning health system: The foundation for continuous improvement in health and healthcare. Workshop series summary. Washington, DC: The National Academies Press. This monograph summarizes the vision for a national Learning Health System and offers the perspective of a wide range of thought leaders on the work required to achieve that vision.
4. Ledley, R., & Lusted, L. (1959). Reasoning foundations of medical diagnosis. Science, 130, 9-21. This is the paper that started it all. This classic article provided the first influential description of how computers might be used to assist with the process of diagnosis. The flurry of activity applying Bayesian methods to computer-assisted diagnosis in the 1960s was largely inspired by this provocative paper.
5. Sittig, D. F., Wright, A., Osheroff, J. A., Middelton, B., Teich, J. M., Ash, J. A., Campbell, E., & Bates, D. W. (2008). Grand challenges in clinical decision support. Journal of Biomedical Informatics, 41 (2), 387-392. A rank-ordered list of some of the principal challenges for CDS technology development and implementation, intended "to educate and inspire researchers, developers, funders, and policy makers".