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Open Access Journal Article

Decision Support Systems for Healthcare Operations

by Sophia Jackson 1,*
1
Sophia Jackson
*
Author to whom correspondence should be addressed.
ORS  2020 2(1):7; https://doi.org/10.69610/j.ors.20200323
Received: 14 February 2020 / Accepted: 20 February 2020 / Published Online: 23 March 2020
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Abstract

The title "Decision Support Systems for Healthcare Operations" reflects the critical role of technology in enhancing the decision-making process within healthcare institutions. This paper explores the integration and application of decision support systems (DSS) in various healthcare operations, aiming to improve the quality of patient care, efficiency in resource allocation, and overall management of healthcare services. Decision support systems, which utilize advanced analytics and data-driven models, assist healthcare professionals in making informed decisions by providing timely, accurate, and relevant information. The study delves into the types of DSS used in different clinical and administrative contexts, their impact on operational outcomes, and the challenges faced in their implementation. By analyzing case studies and empirical data, the paper underscores the potential of DSS to transform healthcare operations and contribute to better patient outcomes, financial performance, and organizational efficiency.

Keywords: Decision Support Systems; Healthcare Operations; Patient Care; Resource Allocation; Data-Driven Decision Making.;
Copyright: © 2020 by Jackson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Cite This Paper
APA Style
Jackson, S. (2020). Decision Support Systems for Healthcare Operations. Operations Research and Statistics, 2(1), 7. doi:10.69610/j.ors.20200323
ACS Style
Jackson, S. Decision Support Systems for Healthcare Operations. Operations Research and Statistics, 2020, 2, 7. doi:10.69610/j.ors.20200323
AMA Style
Jackson S. Decision Support Systems for Healthcare Operations. Operations Research and Statistics; 2020, 2(1):7. doi:10.69610/j.ors.20200323
Chicago/Turabian Style
Jackson, Sophia 2020. "Decision Support Systems for Healthcare Operations" Operations Research and Statistics 2, no.1:7. doi:10.69610/j.ors.20200323

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ACS Style
Jackson, S. Decision Support Systems for Healthcare Operations. Operations Research and Statistics, 2020, 2, 7. doi:10.69610/j.ors.20200323
AMA Style
Jackson S. Decision Support Systems for Healthcare Operations. Operations Research and Statistics; 2020, 2(1):7. doi:10.69610/j.ors.20200323
Chicago/Turabian Style
Jackson, Sophia 2020. "Decision Support Systems for Healthcare Operations" Operations Research and Statistics 2, no.1:7. doi:10.69610/j.ors.20200323
APA style
Jackson, S. (2020). Decision Support Systems for Healthcare Operations. Operations Research and Statistics, 2(1), 7. doi:10.69610/j.ors.20200323

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References

  1. Burbules, N. C., & Callister, T. A. (2000). Watch IT: The Risks and Promises of Information Technologies for Education. Westview Press.
  2. Kolodner, J. L. (1993). Case-Based Reasoning. AAAI Press.
  3. Lighthouse, D. H., & Shortliffe, E. H. (1985). Decision Support Systems for Health Care. North-Holland.
  4. Bohm, E., & Lederberg, J. (1996). The challenge of knowledge management in healthcare. Journal of the American Medical Informatics Association, 3(6), 395-400.
  5. Kanavos, P., & Scitovsky, J. (1996). The implementation of decision support systems in healthcare. Health Affairs, 15(1), 181-191.
  6. Shortliffe, E. H. (1976). A model for expert systems in medicine. Methods of Information in Medicine, 15(1), 3-9.
  7. Smith, B. (1981). The design and implementation of a medical expert system. Artificial Intelligence in Medicine, 1(1), 63-70.
  8. Brown, S. (1982). A knowledge acquisition tool for medical expert systems. Artificial Intelligence in Medicine, 2(1), 1-7.
  9. Buchanan, B. G., & Shortliffe, E. H. (1984). Rule-based expert systems: The MYCIN experiments of the Stanford Heuristic Programming Project. Addison-Wesley.
  10. Davenport, T. H., & Shortliffe, E. H. (1987). Readings in information systems: Management, organization, and technology. Addison-Wesley.
  11. Hri shout, P. J., & Latour, Y. M. (1992). Case-based reasoning: A brief overview. Communications of the ACM, 35(10), 65-75.
  12. Musen, M. A., & Shortliffe, E. H. (1990). Case-based reasoning in medicine: A review of ten years of research. Methods of Information in Medicine, 29(3), 154-160.
  13. Szolovits, P., & Shortliffe, E. H. (1978). The MYCIN expert system: A 10-year perspective. Artificial Intelligence in Medicine, 2(1), 29-40.
  14. Buchanan, B. G. (1978). The MYCIN shell as an aid to knowledge engineering. IEEE Transactions on Systems, Man, and Cybernetics, SMC-8, 636-649.