Skip to main content
SpringerLink
Log in

Medical practice and health care management

  • Reference work entry
  • First Online:
Encyclopedia of Operations Research and Management Science

  • 28 Accesses

INTRODUCTION

The techniques of operations research have found their way into health care management, not just in the logistical and managerial support of clinical services, but in the central decision processes of disease screening, diagnosis and therapy, and in medical education. Hundreds of citations to operations research and its associated analytical techniques are to be found in the medical literature and are accessible in the U.S. National Library of Medicine's on-line MEDLARS system. The early applications spawned new professional organizations and journals, now thriving in the medical arena. Many operations research applications are indexed to the near synonymous term, “Medical Informatics,” the application of computers and communications technology to the broad field of health care. To understand the position of operations research in the medical literature, a simple rule helps: medical informatics relates to medicine and health care as operations research relates to the...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 532.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Aharanson, D.L., et al. (1996). “Management of Queues in out-patient Departments: the use of Computer Simulation,” Jl. Management Science, 10(6), 50–58.

    Google Scholar 

  2. Alexander, J.A., et al. (1998). “Managed Care and Technical Efficiency in Outpatient Substance Abuse Treatment Units,” Jl. Behavioral Health Services and Research, 25, 377–396.

    Google Scholar 

  3. Arne, R., et al. (1996). “PatSim-simulator for Practicing Anesthesia and Intensive Care,” International Jl. Clinical Monitoring and Computing, 13(3), 147–152.

    Google Scholar 

  4. Bailey, N.T.J. (1967). The Mathematical Approach to Biology and Medicine, John Wiley, London.

    Google Scholar 

  5. Bailey, N.T.J. (1991). “The Use of Operational Modeling of HIV/AIDS in a Systems Approach to Public Health Decision Making,” Mathematical Biosciences, 107, 413–430.

    Google Scholar 

  6. Barnoon, S. and Wolfe, H. (1972). Measuring Effectiveness of Medical Decisions: An Operations Research Approach, Clarke C. Thomas, Springfield, Illinois.

    Google Scholar 

  7. Bates, J.M., et al. (1998). “Assessing Efficiency in General Practice: An Application of Data Envelopment Analysis,” Health Services Management Research, 11(2), 103–108.

    Google Scholar 

  8. Bergeron, B.P. and Greenes, R.A. (1989). “Clinical Skill-building Simulations in Cardiology: Heartlab and Eklab,” Computer Methods and Programs in Biomedicine, 30 (2–3), 111–126.

    Google Scholar 

  9. Borden, J. (1988). “An Assessment of the Impact of Diagnosis-Related-Group (DRG)-based Reimbursement on the Technical Efficiency of New Jersey Hospitals Using Data Envelopment Analysis,” Jl. Accounting and Public Policy, 7, 77–96.

    Google Scholar 

  10. Boylan, R.D. (1991). “A Note on Epidemics in Heterogeneous Populations,” Mathematical Biosciences, 105, 133–137.

    Google Scholar 

  11. Braaten, O. (1996). “Artificial Intelligence in Pediatrics: Important Clinical Signs in Newborn Syndromes,” Comput. Biomed. Research, 29(3), 153–161.

    Google Scholar 

  12. Byrick, R., et al. (1998). “A Crisis Management Program for Residents in Anesthesia,” Academic Medicine, 73, 592.

    Google Scholar 

  13. Carcelen, P.M., et al. (1997). “Preferences of Pregnant Women and Physicians for 2 Strategies for Prevention of Early-onset Group B Streptococcal in Neonates,” Arch. Pediatr. Adolesc. Med, 151, 712–718.

    Google Scholar 

  14. Chan, H.P., et al. (1999). “Improvement of Radiologists' Characterization of Mammographic Masses by Using Computer-Aided Diagnosis: An ROC Study,” Radiology, 212, 817–827.

    Google Scholar 

  15. Charnes, A., Cooper, W.W., and Rhodes, E. (1978). “Measuring the Efficiency of Decision Making Units,” European Jl. Operational Research, 2, 429–444.

    Google Scholar 

  16. Charnes, A., Cooper, W.W., and Rhodes, E. (1981). “Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through,” Management Science, 27, 668–697.

    Google Scholar 

  17. Chilingerian, J.A. and Sherman, H.D. (1990). “Managing Physician Efficiency and Effectiveness in Providing Hospital Services,” Health Services Management Research, 3(1), 3–15.

    Google Scholar 

  18. Chilingerian, J.A. (1995). “Evaluating Physician Efficiency in Hospitals: A Multivariate Analysis of Best Practice,” European Jl. Operational Research, 80, 548–574.

    Google Scholar 

  19. Chilingerian, J.A. and Sherman, H.D. (1996). “Bench-marking Physician Practice Patterns with DEA: A Multi-stage Approach for Cost Containment,” Annals Operations Research, 67, 83–116.

    Google Scholar 

  20. Dolan, R.D. and Bordley, D.R. (1992). “Should Concern over Gastric Cancer Influence the Choice of Diagnostic Tests in Patients with Acute Upper Gastrointestinal Bleeding?” Proceedings of the Second International Symposium on the Analytic Hierarchy Process, Pittsburgh, Pennsylvania, 391–404.

    Google Scholar 

  21. Dolan, J.G. and Bordley, D.R. (1993). “Involving patients in Complex Decision about Their Care: An Approach Using the Analytic Hierarchy Process,” Jl. General Internal Medicine, 8(4), 204–209.

    Google Scholar 

  22. Dolan, J.G. and Bordley, D.R. (1995). “Are Patients Capable of Using the Analytic Hierarchy Process and Willing to Use it to Help Make Clinical Decisions,” Medical Decision Making, 15(1), 76–80.

    Google Scholar 

  23. Draper, D.A., Solti, I., and Ozcan, Y.A. (1999). “Characteristics of Health Maintenance Organizations and Their Influence on Efficiency,” Health Services Management Research, 12, 1–17.

    Google Scholar 

  24. El-Darzi, E., et al. (1998). “A Simulation Modeling Approach to Evaluating Length of Stay, Occupancy, Emptiness, and Bed Blocking in a Hospital Geriatric Department,” Health Care Management Science, 1, 143–149.

    Google Scholar 

  25. Flagle, C.D. (1967). “A Decision Theoretical Comparison of Three Procedures of Screening for Single Disease,” Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, Berkeley.

    Google Scholar 

  26. Fowler, D.G. (1998). “Development of a Computer Simulation for Laboratory Planning,” Clinical Laboratory Science, 11(5), 280–284.

    Google Scholar 

  27. Grosskopf, S. and Valdmanis, V. (1987). “Measuring Hospital Performance. A Non-parametric Approach,” Jl. Health Economics, 6, 89–107.

    Google Scholar 

  28. Gustafson, D.H., et al. (1993). “Assessing the Needs of Breast Cancer Patients and Their Families,” Quality Management in Health Care, 2(1), 6–17.

    Google Scholar 

  29. Harris, C.M. and Rattner, E. (1997). “Estimating and Projecting Regional HIV/AIDS Cases and Costs, 1990–2000,” Interfaces, 27(5), 38–53.

    Google Scholar 

  30. Harris, C.M., Rattner, E., and Sutton, C. (1992). “Forecasting the Extent of the HIV/AIDS Epidemic,” Socio-Econ. Planning Sci., 26(3), 149–168.

    Google Scholar 

  31. Hashimoto, F., et al. (1987). “A Computer Simulation Program to Facilitate Budgeting and Staffing Decisions in an Intensive Care Unit,” Critical Care Medicine, 15, 256–259.

    Google Scholar 

  32. Hofer, T.P. and Hayward, R.A. (1995). “Can Early Readmission Rates Accurately Detect Poor-quality Hospitals?” Medical Care, 33, 234–245.

    Google Scholar 

  33. Hofer, T.P. and Hayward, R.A. (1996). “Identifying Poor-quality Hospitals. Can Hospital Mortality Rates Detect Quality Problems for Medical Diagnoses?” Medical Care, 34, 737–753.

    Google Scholar 

  34. Hogan, A.J., Chesney, J., Wroblewski, R., and Fleming, S. (1987). The impact of the Medicare prospective payment system on hospital efficiency: A data envelopment analysis. Paper presented to the American Economic Association Annual Meeting, Chicago.

    Google Scholar 

  35. Holzman, R.S., et al. (1995). “Anesthesia Crisis Resource Management: Real-life Simulation Training in Operating Room Crises,” Jl. Clinical Anesthesia, 7, 675–687.

    Google Scholar 

  36. Huang, Y-G.L. (1990). “An Application of Data Envelopment Analysis: Measuring the Relative Performance of Florida General Hospitals,” Jl. Medical Systems, 14(4), 191–196.

    Google Scholar 

  37. Huang, X.M. (1998). “Decision Making Support in Re-shaping Hospital Medical Services,” Health Care Management Science, 1, 165–173.

    Google Scholar 

  38. Kaplan, E.H. (1991). “Mean-max Bounds for Worst Case Endemic Mixing Models,” Mathematical Biosciences, 105, 97–109.

    Google Scholar 

  39. Kaplan, E.H. and Brandeau, M.L., eds. (1994). Modeling the AIDS Epidemic: Planning, Policy, and Prediction, Raven Press, New York.

    Google Scholar 

  40. Ledley, R.S. and Lusted, L.B. (1959). “Reasoning Foundation of Medical Diagnosis,” Science, 130, 9–29.

    Google Scholar 

  41. Lehmann, E.D., et al. (1994). “Combining Rule-based Reasoning and Mathematical Modeling in Diabetes Care,” Artificial Intelligence Medicine, 6(2), 137–160.

    Google Scholar 

  42. Lonwe, B. and Heiji, A. (1993). “Computer-assisted Instruction in Emergency Ophthalmological Care,” Acta Ophthalmologica, 71, 289–295.

    Google Scholar 

  43. Lowe, A. and Harrison, M.J. (1999). “Computer-Enhanced Diagnosis of Malignant Hyperpyrexia,” Anaesth. Intensive Care, 27(1), 41–44.

    Google Scholar 

  44. Mangasarian, O.L., et al. (1990). “Pattern Recognition via Linear Programming: Theory and Application to Medical Diagnosis,” In Large-scale Numerical Optimization, T.F. Coleman and Yuying Li, eds., SIAM, Philadelphia, 22–30.

    Google Scholar 

  45. Mangasarian, O.L., Street, W.N., and Wolberg, W.H. (1995). “Breast Cancer Diagnosis and Prognosis via Linear Programming,” Operations Research, 43, 570–577.

    Google Scholar 

  46. McClean, S.I. and Millard, P.H. (1998). “A Three Compartment Model of the Patient Flows in a Geriatric Department: A Decision Support Approach,” Health Care Management Science, 1, 159–163.

    Google Scholar 

  47. McGuire, F. (1997). “Using Simulation to Reduce Length of Stay in Emergency Departments,” Jl. Society for Health Systems, 5(3), 81–90.

    Google Scholar 

  48. Nawano, S., et al. (1999). “Computer-Aided Diagnosis in Full Digital Mammography,” Invest. Radiol., 34(4), 310–316.

    Google Scholar 

  49. Ngo, L., et al. (1997). “Efficient Temporal Probabilistic Reasoning via Context-Sensitive Model Construction,” Comput. Biol. Med., 27, 453–476.

    Google Scholar 

  50. Owens, D.K. and Robert, F.N. (1997). “A Normative Analytic Framework for Development of Practice Guidelines for Specific Clinical Populations,” Medical Decision Making, 17, 409–426.

    Google Scholar 

  51. Ozcan, Y.A. and Lynch, J.R. (1992). Rural Hospital Closures: An Inquiry into Efficiency. In Scheffler, R. M. and Rossiter, L. F., eds., Advances in Health Economics and Health Services Research, 13, 205–224.

    Google Scholar 

  52. Ozcan, Y.A., Luke, R.D., and Haksever, C. (1992). “Ownership and Organizational Performance: A Comparison of Technical Efficiency across Hospital Types,” Medical Care, 30, 781–794.

    Google Scholar 

  53. Ozcan, Y.A. and Luke, R.D. (1993). “A National Study of the Efficiency of Hospitals in Urban Markets,” Health Services Research, 13, 205–224.

    Google Scholar 

  54. Ozcan, Y.A. (1995). “Efficiency of Hospital Service Production in Local Markets: The Balance Sheet of U.S. Medical Armament,” Socio-Econ. Planning Sci., 29, 139–150.

    Google Scholar 

  55. Ozcan, Y.A. (1998). “Physician Benchmarking in Practice Behavior in Treatment of Otitis Media,” Health Care Management Science, 1, 5–17.

    Google Scholar 

  56. Ozcan, Y.A., Wogen, S.E., and Mau, L.W. (1998). “Efficiency Evaluation of Skilled Nursing Facilities,” Jl. Medical Systems, 22(4), 211–224.

    Google Scholar 

  57. Ozminkowski, R.J., et al. (1998). “What if Socioeconomic Made No Difference? Access to a Cadaver Kidney Transplant as an Example,” Medical Care, 36, 1398–1406.

    Google Scholar 

  58. Reiser, S.J. (1993). “The Era of the Patients.” JAMA, 269, 1012–1017.

    Google Scholar 

  59. Roa, L. and Gomez-Cia, T. (1994). “A Burn patient Resuscitation Therapy Designed by Computer Simulation,” Yearbook of Medical Informatics, Schattauer Verlagsgesellchaft, Stuttgart.

    Google Scholar 

  60. Rosenman, R., Siddharthan, K., and Ahern, M. (1997). “Output Efficiency of Health Maintenance Organizations in Florida,” Health Economics, 6(3), 295–302.

    Google Scholar 

  61. Rosko, M.D., et al. (1995). “The Effects of Ownership, Operating Environment, and Strategic Choices on Nursing Home Efficiency,” Medical Care, 33, 1001–1021.

    Google Scholar 

  62. Saaty, T.L. (1981). “The Analytic Hierarchy Process and Health Care Problems,” Proceedings of International Conference on Systems Science in Health Care, Montreal.

    Google Scholar 

  63. Samsa, G.P., et al. (1999). “Performing Cost-effectiveness Analysis by Integrating Randomized Trial Data with a Comprehensive Decision Model: Application to Treatment of Acute Ischemic Stroke,” Jl. Clinical Epidemiology, 52(3), 259–271.

    Google Scholar 

  64. Sexton, T.R. (1986). “The Methodology of Data Envelopment Analysis.” In Measuring Efficiency: An Analysis of Data Envelopment Analysis, Silkman, R.H., ed., Jossey-Bass, San Francisco.

    Google Scholar 

  65. Sexton, T., et al. (1989). “Evaluating Managerial Efficiency of Veterans Administration Medical Center Using Data Envelopment Analysis,” Medical Care, 27, 1175–1189.

    Google Scholar 

  66. Shortliffe, E.H. (1976). Computer-Based Medical Consultations MYCIN, American Elsevier, New York.

    Google Scholar 

  67. Sica, G.T., et al. (1999). “Computerized Realistic Simulation: A Teaching Module for Crisis Management in Radiology,” American Jl. Radiology, 17, 301–304.

    Google Scholar 

  68. Szolovits, P. and Pauker, S.C. (1978). “Categorical and Probabilistic Reasoning in Medical Diagnosis,” Artificial Intelligence, 11, 115–144.

    Google Scholar 

  69. Tanner, T.B. and Gitlow, S. (1991). “A Computer Simulation of Cardiac Emergencies,” Proceedings Annual Symposium on Computer Applications in Medical Care.

    Google Scholar 

  70. Valdmanis, B.G. (1990). “Ownership and Technical Efficiency of Hospitals,” Medical Care, 28, 552–561.

    Google Scholar 

  71. Wang, S., et al. (1998). “TACHY: An Expert System for the Management of Supra Ventricular Tachycardia in the Elderly,” American Heart Jl., 1359(1), 82–87.

    Google Scholar 

  72. Weed, L.L. (1986). “Knowledge Coupling Medical Education and Patient Care,” Crit. Ref. Med. Infomatics, 1, 55–79.

    Google Scholar 

  73. Wolberg, W.H. and Mangasarian, O.L. (1993). “Computer-designed Expert Systems for Breast Cytology Diagnosis,” Analytical and Quantitative Cytology and Histology, 15, 67–74.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Virginia Commonwealth University, Richmond, USA

    Yasar A. Ozcan & Hacer Ozgen

  2. The Johns Hopkins University, Baltimore, Maryland, USA

    Charles D. Flagle

Authors
  1. Yasar A. Ozcan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hacer Ozgen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Charles D. Flagle
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Robert H. Smith School of Business, University of Maryland, College Part, Maryland, USA

    Saul I. Gass

  2. School of Information Technology & Engineering, George Mason University, Fairfax, Virginia, USA

    Carl M. Harris

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Kluwer Academic Publishers

About this entry

Cite this entry

Ozcan, Y.A., Ozgen, H., Flagle, C.D. (2001). Medical practice and health care management . In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_609

Download citation

  • DOI: https://doi.org/10.1007/1-4020-0611-X_609

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-7923-7827-3

  • Online ISBN: 978-1-4020-0611-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation