Literature DB >> 19699542

Measuring the cost impact of hospital information systems: 1987-1994.

Ron Borzekowski1.   

Abstract

This study measures the impact of information technology (IT) use on hospital operating costs during the late 1980s and early 1990s. Using a proprietary eight-year panel dataset (1987-1994) that catalogues application-level automation for the complete census of the 3000 U.S. hospitals with more than 100 beds, this study finds that both financial/administrative and clinical IT systems at the most thoroughly automated hospitals are associated with declining costs three and five years after adoption. At the application level, declining costs are associated with the adoption of some of the newest technologies, including systems designed for cost management, the administration of managed care contracts, and for both financial and clinical decision support. The association of cost declines with lagged IT as well as the cost patterns at the less automated hospitals both provide some evidence of learning effects.

Mesh:

Year:  2009        PMID: 19699542     DOI: 10.1016/j.jhealeco.2009.06.004

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  21 in total

1.  The impact of health information technology adoption by outpatient facilities on pregnancy outcomes.

Authors:  Mary E Deily; Tianyan Hu; Sabrina Terrizzi; Shin-Yi Chou; Chad D Meyerhoefer
Journal:  Health Serv Res       Date:  2012-06-28       Impact factor: 3.402

2.  U.S. hospital efficiency and adoption of health information technology.

Authors:  Natalia A Zhivan; Mark L Diana
Journal:  Health Care Manag Sci       Date:  2011-09-16

3.  Investigating the effects of ICT on innovation and performance of European hospitals: an exploratory study.

Authors:  Spyros Arvanitis; Euripidis N Loukis
Journal:  Eur J Health Econ       Date:  2015-03-31

4.  Secure Provider-to-Provider Communication With Electronic Health Record Messaging: An Educational Outreach Study.

Authors:  Kathleen E Walsh; Jessica L Secor; Jon S Matsumura; Margaret L Schwarze; Beth E Potter; Peter Newcomer; Michael K Kim; Christie M Bartels
Journal:  J Healthc Qual       Date:  2018 Sep/Oct       Impact factor: 1.095

5.  A Simple Method for Causal Analysis of Return on IT Investment.

Authors:  Farrokh Alemi; Manaf Zargoush; James L Oakes; Hanan Edrees
Journal:  J Healthc Eng       Date:  2011-04-12       Impact factor: 2.682

6.  The Effect of Access to Electronic Health Records on Throughput Efficiency and Imaging Utilization in the Emergency Department.

Authors:  Matthew M Knepper; Edward M Castillo; Theodore C Chan; David A Guss
Journal:  Health Serv Res       Date:  2017-04-04       Impact factor: 3.402

7.  The combined effect of the electronic health record and hospitalist care on length of stay.

Authors:  Jinhyung Lee; Yong-Fang Kuo; Yu-Li Lin; James S Goodwin
Journal:  Am J Manag Care       Date:  2015-03-01       Impact factor: 2.229

8.  Hospitalization event notifications and reductions in readmissions of Medicare fee-for-service beneficiaries in the Bronx, New York.

Authors:  Mark Aaron Unruh; Hye-Young Jung; Rainu Kaushal; Joshua R Vest
Journal:  J Am Med Inform Assoc       Date:  2017-04-01       Impact factor: 4.497

9.  Measure of clinical information technology adoption.

Authors:  Jinhyung Lee; Young-Taek Park
Journal:  Healthc Inform Res       Date:  2013-03-31

10.  The effect of electronic medical record adoption on outcomes in US hospitals.

Authors:  Jinhyung Lee; Yong-Fang Kuo; James S Goodwin
Journal:  BMC Health Serv Res       Date:  2013-02-01       Impact factor: 2.655

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