Health Information Technology: A Few Years Of Magical Thinking?: Technology and standards alone will not lead to health IT adoption, let alone transform health care.
Abstract
One of the biggest obstacles to expanding the use of information technology (IT) in health care may be the current narrow focus on how to stimulate its adoption. The challenge of thinking of IT as a tool to improve quality requires serious attention to transforming the U.S. health care system as a whole, rather than simply computerizing the current setup. Proponents of health IT must resist "magical thinking," such as the notion that technology will transform our broken system, absent integrated work on policy or incentives. The alternative route to transforming the system sets all of its sights on the destination.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Equating HIT usage with design success can be misleading and may lead to inappropriate policies to improve use.
“Equating HIT usage with design success can be misleading and may promulgate inappropriate policies to improve ' use ' . 67”
From Health information technology: fallacies and sober realities (2010) · cites this paper as [67]
The citation lists haven’t been fetched yet
References 4 · Cited by 44
- Authors
- Diamond, C. C., & Shirky, C.
- Affiliations
- New York University (US)
- Venue
- Health Affairs
- Publisher
- Health Affairs Publishing, LLC
- Published
- 2008-01
- Volume
- 27
- Issue
- Suppl1
- Pages
- w383-w390
- ISSN
- 0278-2715 (ISSN-L)
- 1544-5208
- OpenAlex
- W2147986455
- Cited by
- 44
- References
- 4
- Citations by year
- 2022: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 3 · 2016: 1 · 2014: 3 · 2013: 3 · 2012: 7
- FWCI
- 16.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Affairs (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- health information technology, health information technology adoption, quality of care, health system transformation, health policy, incentives, technology adoption, health care reform
- MeSH terms
- Medical Informatics, Medical Informatics Applications, United States, Information Management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
