The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
The effects of health information technology on the costs and quality of medical care
Open accessAbstract
Information technology has been linked to productivity growth in a wide variety of sectors, and health information technology (HIT) is a leading example of an innovation with the potential to transform industry-wide productivity. This paper analyzes the impact of health information technology (HIT) on the quality and intensity of medical care. Using Medicare claims data from 1998-2005, I estimate the effects of early investment in HIT by exploiting variation in hospitals’ adoption statuses over time, analyzing 2.5 million inpatient admissions across 3900 hospitals. HIT is associated with a 1.3 percent increase in billed charges (p-value: 5.6%), and there is no evidence of cost savings even five years after adoption. Additionally, HIT adoption appears to have little impact on the quality of care, measured by patient mortality, adverse drug events, and readmission rates.
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Use of Electronic Health Records in U.S. Hospitals
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The Impact of Computerized Physician Order Entry on Medication Error Prevention
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Cited by
Challenges to Mismeasurement Explanations for the US Productivity Slowdown
Syverson, C. (2017) · Journal of Economic Perspectives · doi:10.1257/jep.31.2.165 · Cited by 302
Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act
Lin, Y.-K., Lin, M., & Chen, H. (2019) · Information Systems Research · doi:10.1287/isre.2018.0813 · Cited by 101
Metadata
- Authors
- Agha, L.
- Venue
- Journal of Health Economics
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 34
- Pages
- 19-30
- ISSN
- 0167-6296 (ISSN-L)
- OpenAlex
- W2066997117
- Cited by
- 262
- References
- 36
- FWCI
- 42.38
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
