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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2013.1
- 수록면
- 215 - 221 (7page)
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Objectives: This study investigate the effect of health information technology (IT) expenditure on individual patient-level cost using California Office of Statewide Health Planning and Development (OSHPD) data obtained from 2000 to 2007. Methods: We used a traditional cost function and applied hospital fixed effect and clustered error within hospitals. Results: We found that a quadratic function of IT expenditure best fit the data. The quadratic function in IT expenditure predicts a decrease in cost of up to US$1,550 of IT labor per bed, US$27,909 of IT capital per bed, and US$28,695 of all IT expenditure per bed. Moreover, we found that IT expenditure reduced costs more quickly in medical conditions than surgical diseases. Conclusions: Interest in health IT is increasing more than ever before. Many studies examined the effect of health IT on hospital level cost. However, there have been few studies to examine the relationship between health IT expenditure and individual patient-level cost. We found that IT expenditure was associated with patient cost. In particular, we found a quadratic relationship between IT expenditure and patient-level cost. In other word, patient-level cost is non-linearly (or a polynomial of second-order degree) related to IT expenditure.
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참고문헌 (27)
참고문헌 신청
/ / State of California, Office of Statewide Health Planning and Development
/ 2009 / American Recovery and Reinvestment Act of 2009: Public Law 111-5 / United States Congress
Amarasingham R / 2009 / Clinical information technologies and inpatient outcomes: a multiple hospital study / Arch Intern Med 169 (2) : 108 ~ 114
Borzekowski R / 2009 / Measuring the cost impact of hospital information systems: 1987-1994 / J Health Econ 28 (5) : 938 ~ 949
Chaudhry B / 2006 / Systematic review: impact of health information technology on quality, efficiency, and costs of medical care / Ann Intern Med 144 (10) : 742 ~ 752
/ 2009 / American Recovery and Reinvestment Act of 2009: Public Law 111-5 / United States Congress
Amarasingham R / 2009 / Clinical information technologies and inpatient outcomes: a multiple hospital study / Arch Intern Med 169 (2) : 108 ~ 114
Borzekowski R / 2009 / Measuring the cost impact of hospital information systems: 1987-1994 / J Health Econ 28 (5) : 938 ~ 949
Chaudhry B / 2006 / Systematic review: impact of health information technology on quality, efficiency, and costs of medical care / Ann Intern Med 144 (10) : 742 ~ 752
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