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The relationship between healthcare information system and cost in hospital

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Abstract

This study was purposed to study the relationship between healthcare information system (HIS) and cost in hospital. It also analyzed which organizational factors affect the adoption of information system in hospitals. The study included 577 hospitals in the statistical analysis. The HIS was measured by three indicators, which is based on the number of application systems in three core hospital functions (administration, management, and clinical). American Hospital Association and Dorenfest IHDS were merged to create sample data. Structural equation modeling was applied to estimate the parameters of the model. HIS is negatively associated with the total expense. However, it was not statistically significant. The internal variables of hospitals such as location, size, and system hospital variables were significantly related to the extent of HIS adoption.

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References

  1. Paré G, Sicotte C (2001) Information technology sophistication in health care: an instrument validation study among Canadian hospitals. Int J Med Informatics 63(3):205–233

    Article  Google Scholar 

  2. Flood AB, Zinn JS, Scott WR (2006) Organizational performance: managing for efficiency and effectiveness. In: Shortell SM, Kaluzny AD (eds) Health care management: organization design and behavior, 5th edn. Thomas Delmar Learning, New York, NY, pp 415–457

    Google Scholar 

  3. Kazley AS, Ozcan YA (2008) Do hospitals with electronic medical records (EMRs) provide higher quality care? Medical Care Research and Review 65(4):496–513

    Article  Google Scholar 

  4. Parente ST, Van Horn RL (2006) Valuing hospital investment in information technology: does governance make a difference? Health Care Financing Review 28(2):31–43

    Google Scholar 

  5. Amarasingham R, Plantinga L, Diener-West M, Gaskin DJ, Powe NR (2009) Clinical information technologies and inpatient outcomes: a multiple hospital study. Arch Intern Med 169(2):108–114

    Article  Google Scholar 

  6. Hillestad R, Bigelow J, Bower A, Girosi F, Meili R, Scoville R, Taylor R (2005) Can electronic medical record systems transform health care? Potential health benefits, savings, and costs, Health Affairs 24(5):1103–1117

    Article  Google Scholar 

  7. Taylor R, Bower A, Girosi F, Bigelow J, Fonkych K, Hillestad R (2005) Promoting health information technology: is there a case for more-aggressive government action? Health Aff 24(5):1234–1245

    Article  Google Scholar 

  8. Mekhjian HS, Kumar RR, Kuehn L, Bentley TD, Teater P, Thomas A, Payne B, Ahmad A (2002) Immediate benefits realized following implementation of physician order entry at an academic medical center. J Am Med Inf Assoc 9:529–539

    Article  Google Scholar 

  9. Miller J (1995) Integrated healthcare information systems, Integrated healthcare report, pp 1–11

  10. Cano S (1996) Formalities in integrated health system: fallon healthcare system. American Journal of Health System Pharmacology 53(3):270–273

    Google Scholar 

  11. Zviran M (1990) Defining an application portfolio for an integrated hospital information system: a tutorial. J Med Syst 14:42–53

    Article  Google Scholar 

  12. Zviran M (1990) Design considerations for integrated hospital information systems. Hosp Health Serv Adm 35:377–393

    Google Scholar 

  13. Lee K, Wan TTH (2002) Effects of hospitals’ structural clinical integration on efficiency and patient outcome. Health Serv Manag Res 15:234–244

    Article  Google Scholar 

  14. Teich JM, Merchia PR, Schmiz JL, Kuperman GJ, Spurr CD, Bates DW (2000) Effects of computerized physician order entry on prescribing practices. Arch Intern Med 160(18):2741–2747

    Article  Google Scholar 

  15. Poon EG, Jha AK, Christino M, Honour MM, Fernandopulle R, Middleton B, Newhouse J, Leape L, Bates DW, Blumenthal D, Kaushal R (2006) Assessing the level of healthcare information technology adoption in the United States: a snapshot. BMC Med Inf Decis Mak 6:1–9

    Article  Google Scholar 

  16. Chaudry B, Wang J, Wu S, Maglione M, Mojica W, Roth E, Morton SC, Shekelle PG (2006) Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med 144(10):742–752

    Article  Google Scholar 

  17. Burke DE, Wang BB, Wan TTH, Diana ML (2002) Exploring hospitals’ adoption of information technology. J Med Syst 26(4):349–355

    Article  Google Scholar 

  18. Wang BB, Wan TTH, Burke DE, Bazzoli GJ, Lin BYJ (2005) Factors influencing health information system adoption in American hospitals. Health Care Manage Rev 30(1):44–51

    Article  Google Scholar 

  19. Furukawa MF, Ragu TS, Trent JS, Vinze A (2008) Adoption of health information technology for medication safety in U.S. hospitals, 2006. Health Aff 27(3):865–875

    Article  Google Scholar 

  20. Kovach CR, Morgan S, Noonan PE, Brondino M Using principles of diffusion of innovation to improve nursing home care. J Nurs Care Qual 23(2):132–139

  21. Panzano PC, Roth D (2006) The decision to adopt evidence-based and other innovative mental health practices: risky business? Psychiatr Serv 57:1153–1161

    Article  Google Scholar 

  22. Bamasak O (2011) Exploring consumers acceptance of mobile payments? an empirical study. IJITCC 1(2):173–185

    Article  Google Scholar 

  23. Sarkar P, Saha A (2011) Security enhanced communication in wireless sensor networks using reed-muller codes and partially balanced incomplete block designs. J Converg 2(1):23–30

    Google Scholar 

  24. Huang C, Cheng R, Chen S, Li C (2011) Enhancing network availability by tolerance control in multi-sink wireless sensor networks. J Converg 1(1):15–22

    Google Scholar 

  25. Xie B, Kumar A, Zhao D, Reddy R, He B (2010) On secure communication in integrated heterogeneous wireless networks. IJITCC 1(1):4–23

    Article  Google Scholar 

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Correspondence to Kwangsoo Lee.

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Lee, K., Wan, T.T.H. & Kwon, H. The relationship between healthcare information system and cost in hospital. Pers Ubiquit Comput 17, 1395–1400 (2013). https://doi.org/10.1007/s00779-012-0574-6

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  • DOI: https://doi.org/10.1007/s00779-012-0574-6

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