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Potential Savings from Using Information Technology Applications in Health Care in the United States

Published online by Cambridge University Press:  10 March 2009

Peter J. Neumann ,
Stephen T. Parente  and
L. Clark Paramore
Peter J. Neumann
Affiliation:
Harvard School of Public Health
Stephen T. Parente
Affiliation:
Project HOPE Center for Health Affairs
L. Clark Paramore
Affiliation:
Project HOPE Center for Health Affairs
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Abstract

We reviewed economic evaluations of information technology (IT) applications in health care in the United States. National estimates suggest that fully automating administrative functions would save the system $5 to $8 billion per year. Hospital-specific estimates suggest that individual facilities could save $0.5 to $3 million annually from various clinical IT applications.

Type
General Essays
Information
International Journal of Technology Assessment in Health Care , Volume 12 , Issue 3 , Summer 1996 , pp. 425 - 435
Copyright
Copyright © Cambridge University Press 1996

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References

REFERENCES

1.Austin, C. J.Information systems for health services administration. Ann Arbor, MI: AUPHA/Health Administration Press, 1992.Google Scholar
2.Churgin, P. G.Introduction of an automated medical record at an HMO clinic. MD Computing, 1994, 11, 293–300.Google ScholarPubMed
3.Clayton, P. D., Anderson, R. K., Hill, C., & McCormack, M. An initial assessment of the cost and utilization of the Integrated Academic Information System (IAIMS) at Columbia Presbyterian Medical Center. In Clayton, P. D. (ed.), Fifteenth Annual Symposium on Computer Applications in Medical Care (SCAMC). Washington, DC: McGraw-Hill, Inc., 1991, 109–13.Google Scholar
4.Clayton, P. D., & Nobel, J. J. Costs and cost justification for integrated information systems in medicine. Hospital information systems: Scope-Design-Architecture. North Holland: Elsevier Science Publishers B. V., 1992, 133–40.Google Scholar
5.Enterline, J. P., et al. OCIS: 15 years' experience with patient-centered computing. MD Computing, 1994, 11, 83–91.Google ScholarPubMed
6.Gardner, E.Bedside system accepted after passing cost justification tests. Modern Healthcare, 1990, 20, 44, 48.Google Scholar
7.Hammond, K. W., Prather, R. J., Date, V. V., & King, C. A.A provider-interactive medical record system can favorably influence costs and quality of medical care. Computers in Biology and Medicine, 1990, 20, 267–79.CrossRefGoogle ScholarPubMed
8.Health Care Financing Administration. White paper on financial implications of information technology. Washington, DC: U.S. Government Printing Office, 1992.Google Scholar
9.Kahl, K., Ivancin, L., & Fuhrmann, M.Identifying the savings potential of bedside terminals. Nursing Economics, 1991, 6, 391–400.Google Scholar
10.Project HOPE Center for Health Affairs. Estimating the cost-effectiveness of selected information technology applications: Report to the Office of Technology Assessment, 05 1995.Google Scholar
11.Reducing administrative costs in a pluralistic delivery system: A report by Lewin- VHI for the Healthcare Financial Management Association. 04 30, 1993.Google Scholar
12.Schoenbaum, S. C., & Barnett, G. O.Automated ambulatory medical records systems: An orphan technology. International Journal of Technology Assessment in Health Care, 1992, 8, 598–609.CrossRefGoogle ScholarPubMed
13.Shea, S., et al. Computer-generated informational messages directed to physicians: Effect on length of hospital stay. Journal of the American Medical Informatics Association, 1995, 2, 57–64.CrossRefGoogle ScholarPubMed
14.Telecommunications: Can it help solve america's health care problems? Cambridge, MA: Arthur D. Little, Inc. Publication no. 91810–98, 07 1992.Google Scholar
15.Tiber Group Cost Study. In The WEDI Report: The Travelers Insurance Company and Blue Cross and Blue Shield of America, 10 1993, 725–736.Google Scholar
16.Tierney, W. M., Miller, M. E., Overhage, J. M., & McDonald, C. J.Physician inpatient order writing on microcomputer workstations: Effects on resource utilization. Journal of American Medical Association, 1993, 269, 379–83.CrossRefGoogle ScholarPubMed
17.Woolhandler, S., & Himmelstein, D. U.The deteriorating administrative efficiency of the U.S. health care system. New England Journal of Medicine 1991, 324; 1253–58.CrossRefGoogle ScholarPubMed
18.Workgroup for Electronic Data Interchange. The WEDI Report: The Travelers Insurance Company and Blue Cross and Blue Shield of America, 10, 1993.Google Scholar
19.Yarnall, K. S. H., Michener, J. L., & Hammond, W. E.The medical record: A comprehensive computer system for the family physician. Journal of the American Board of Family Practice, 1994, 7; 324–34.Google Scholar