Abstract
Electronic medical record (EMR) systems have been proposed as technology to improve the quality of patient care, decrease medical errors, control and reduce medical expenditure, however the financial effects have not yet been as well documented in China. We presented a net financial cost-benefit analysis of implementing electronic medical record systems in general hospital in China. The data, which were obtained from studies of the general hospital and the published literature, collected from 15 consecutive fiscal months from May 1, 2009 to August 30, 2010. We performed a perspective cost-benefit study to analyze the financial effects of EMR system implementing. The reference strategy for comparisons was the traditional paper-based medical record. The net financial benefits or costs for a 6-year period were calculated. All data were adjusted for inflation. The totally assessed net benefit from implementing an EMR system for a 6-year period was $559,025 in the general hospital. Benefits accrue primarily from savings in new medical record creation, decreased full-time-equivalent (FTE) employees, saving of adverse drug events (ADEs) and dose errors, improved charge capture and decreased billing errors. In this model, the time of return on investment is 3.00 years. In one-way sensitivity analysis, the model was most sensitive in new medical record creation; the net benefit varied from $398,057 to $719,992. The five-way sensitivity analysis with the most pessimistic and optimistic assumptions showed results ranging from a $76,970 net cost to a $1,062,122 net benefit; the pessimistic time of return on investment is 5.38 years. An EMR system cost-benefit analysis can rapidly demonstrate a positive return on investment when implemented in hospitals. The magnitude of the return is sensitive to several key factors.
Similar content being viewed by others
References
Ministry of Public Health of the Peoples Republic of China and State Administration of Traditional Chinese Medicine. Basic framework and data standards of electronic medical records (tentative standard). Dec;4, 2009.
Shekelle, P. G., Morton, S. C., and Keeler, E. B., Costs and benefits of health information technology. Evid. Rep. Tech. Assess. (Full Rep) 132:1–71, 2006.
Blumenthal, D., DesRoches, C., Donelan, K., Ferris, T. G., Jha, A. K., Kaushal, R., Rao, S. R., Rosenbaum, S., and Shields, A., Health information technology in the United States: the information base for progress. Robert Wood Johnson Foundation, Princeton, 2006.
Chaudhry, B., Wang, J., Wu, S., et al., Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann. Intern. Med. 144:742–752, 2006.
Thakkar, M., and Davis, D. C., Risks, barriers, and benefits of EHR systems: a comparative study based on size of hospital. Perspect. Health Inf. Manag. 3:5, 2006.
Grieger, D. L., Cohen, S. H., and Krusch, D. A., A pilot study to document the return on investment for implementing an ambulatory electronic health record at an academic medical center. J. Am. Coll. Surg. 205(1):89–96, 2007.
Bates, D. W., Cohen, M., Leape, L. L., Overhage, J. M., Shabot, M. M., and Sheridan, T., Reducing the frequency of errors in medicine using information technology. J. Am. Med. Informat. Assoc. 8:299–308, 2001.
Overhage, J. M., Tierney, W. M., Zhou, X. A., and McDonald, C. J., A randomized trial of corollary orders to prevent errors of omission. J. Am. Med. Informat. Assoc. 4:364–375, 1997.
Bates, D. W., Evans, R. S., Murff, H., Stetson, P. D., Pizziferri, L., and Hripcsak, G., Detecting adverse events using information technology. J. Am. Med. Informat. Assoc. 10:115–128, 2003.
Balas, E. A., Weingarten, S., Garb, C. T., et al., Improving preventive care by prompting physicians. Arch. Intern. Med. 160:301–308, 2000.
Bates, D. W., and Gawande, A. A., Patient safety: improving safety with information technology. N. Engl. J. Med. 348:2526–2534, 2003.
Bates, D. W., Using information technology to reduce rates of medication errors in hospitals. BMJ 320:788–791, 2000.
Bates, D. W., Physicians and ambulatory electronic health records. Health Aff. 24:1180–1189, 2005.
Bates, D. W., Kuperman, G. J., Rittenberg, E., et al., A randomized trial of a computer-based intervention to reduce utilization of redundant laboratory tests. Am. J. Med. 106:144–150, 1999.
Hillstead, R., Bigelow, J., Bower, A., et al., Can electronic medical record systems transform health care? potential health benefits, savings and costs. Health Aff. 24:1103–1117, 2005.
Wang, S. J., Middleton, B., Prosser, L. S., et al., A cost-benefit analysis of electronic medical records in primary care. Am. J. Med. 114:397–402, 2003.
Evans, R. S., Pestotnik, S. L., Classen, D. C., et al., A computer-assisted management program for antibiotics and other anti-infective agents. N. Engl. J. Med. 338:232–238, 1998.
Kian, L. A., Stewart, M. W., Bagby, C., and Robertson, J., Justifying the cost of a computer-based patient record. Healthc. Financ. Manag. 49: 58–60, 62, 64–67, 1995.
Elson, R. B., and Connelly, D. P., Computerized patient records in primary care. Their role in mediating guideline-driven physician behavior change. Arch Fam Med. 4:698–705, 1995.
Shea, S., DuMouchel, W., and Bahamonde, L., A meta-analysis of 16 randomized controlled trials to evaluate computer-based clinical reminder systems for preventive care in the ambulatory setting. J. Am. Med. Informat. Assoc. 3:399–409, 1996.
Hunt, D. L., Haynes, R. B., Hanna, S. E., et al., Effects of computer-based clinical decision support systems on physician performance and patient outcomes (a systematic review). JAMA 280:1339–1346, 1998.
Bates, D. W., Medication errors. How common are they and what can be done to prevent them? Drug Saf. 15:303–310, 1996.
Hing, E., Hall, M. J., and Ashman, J. J., Use of electronic medical records by ambulatory care providers: United States, 2006. Natl. Health Stat. Rep. 22:1–21, 2010.
Jha, A. K., Ferris, T. G., Donelan, K., et al., How common are electronic health records in the United States? A summary of the evidence. Health Aff. (Millwood) 25:496–507, 2006.
Fonkych, K., and Taylor, R., The state and pattern of health information technology adoption. Pub. no. MG-409-HLTH (Santa Monica, Calif.: RAND, 2005).
Hammond, K. W., Prather, R. J., Date, V. V., and King, C. A., A provider-interactive medical record system can favorably influence costs and quality of medical care. Comput. Biol. Med. 20:267–279, 1990.
Rawitz, J. G., Cowan, W. Y., and Paige, B. M., Justifying costs of computer software purchases. Healthc. Financ. Manag. 44:46–51, 1990.
Davis, M. W., Reaping the benefits of electronic medical record systems. Healthc. Financ. Manag. 47:60–62, 1993.
Renner, K., Electronic medical records in the outpatient setting (part 1). Med. Group Manag. J. 43:52–57, 1996.
Renner, K., Electronic medical records in the outpatient setting (part 2). Med. Group Manag. J. 43:60–65, 1996.
Pliskin, N., Glezerman, M., Modai, I., and Weiler, D., Spreadsheet evaluation of computerized medical records (the impact on quality, time, and money). J .Med. Syst. 20:85–100, 1996.
Khoury, A., Finding value in EMRs (electronic medical records). Health Manag. Tech. 18:34–36, 1997.
Mohr, D. N., Benefits of an electronic clinical information system. Healthc. Inf. Manag. 11:49–57, 1997.
Nelson, R., Computerized patient records improve practice efficiency and patient care. Healthc. Financ. Manag. 52:86–88, 1998.
Sandrick, K., Calculating ROI for CPRs. Health Manag. Tech. 19:16–20, 1998.
Pifer, E. A., Smith, S., and Keever, G. W., EMR to the rescue. An ambulatory care pilot project shows that data sharing equals cost shaving. Healthc. Inform. 18:111–114, 2001.
Mildon, J., and Cohen, T., Drivers in the electronic medical records market. Health Manag. Tech. 22:14–16, 2001.
Snyder-Halpern, R., Thompson, C. B., and Schaffer, J., Comparison of mailed vs. Internet applications of the Delphi technique in clinical informatics research. Proc. AMIA Symp.: 809–13, 2000.
National Development and Reform Commission Ministry of Construction of People’s Republic of China. Methodology and parameters of economic evaluation on construction projects (third edition). Aug;83,224, 2006.
Renner, K., Cost-justifying electronic medical records. Healthc. Financ. Manag. 50:63–64, 1996.
Bingham, A., Computerized patient records benefit physician offices. Healthc. Financ. Manag. 51:68–70, 1997.
Zdon, L., and Middleton, B., Ambulatory electronic medical records implementation cost benefit (An enterprise case study). Healthc. Inform. Manag. Syst. Soc. 4:97–117, 1999.
Ury, A., The Business Case for an Electronic Medical Record System. Group Pract. J. 49:1–6, 2000.
Chen, B. L., Li, E. D., Yamawuchi, K., Kato, K., Naganawa, S., and Miao, W. J., Impact of adjustment measures on reducing outpatient waiting time in a community hospital: application of a computer simulation. Chin. Med. J. (Engl) 123:574–580, 2010.
Essex, D., Skip the song & dance. Healthc. Inform. 16: 49–52,54,56, 1999.
Bates, D. W., Teich, J. M., Lee, J., et al., The impact of computerized physician order entry on medication error prevention. J. Am. Med. Informat. Assoc. 6:313–321, 1999.
McDonald, C. J., Hui, S. L., Smith, D. M., et al., Reminders to physicians from an introspective computer medical record. A two-year randomized trial. Ann. Intern. Med. 100:130–138, 1984.
Wang, K., Li, P., Chen, L., Kato, K., Kobayashi, M., and Yamauchi, K., Impact of the Japanese diagnosis procedure combination-based payment system in Japan. J. Med. Syst.: 95–100, 2010.
McDonald, C. J., Overhage, J. M., Tierney, W. M., et al., The regenstrief medical record system (a quarter century experience). Intern. J. Med. Inf. 54:225–253, 1999.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Li, K., Naganawa, S., Wang, K. et al. Study of the Cost-Benefit Analysis of Electronic Medical Record Systems in General Hospital in China. J Med Syst 36, 3283–3291 (2012). https://doi.org/10.1007/s10916-011-9819-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10916-011-9819-6