ArticleJournal of medical systems2013
Health information technology adoption in U.S. acute care hospitals.
Article in Journal of medical systems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 66 citations in OpenAlex.
- How are US hospitals adopting artificial intelligence? Early evidence from 2022.Health affairs scholar · 2024Article
- Pre-pandemic assessment: a decade of progress in electronic health record adoption among U.S. hospitals.Health affairs scholar · 2023Article
- Experimental evidence for structured information-sharing networks reducing medical errors.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Patterns of health information exchange strategies underlying health information technologies capabilities building.Health systems (Basingstoke, England) · 2022Article
- The Effect of Innovation Capabilities of Health Care Organizations on the Quality of Health Information Technology: Model Development With Cross-sectional Data.JMIR medical informatics · 2021Article
- Estimating the Impacts of Hospitals' Organisational and Geographical Characteristics on the Adoption of Health Information Technology in Mongolian Hospitals.Journal of healthcare engineering · 2021Article
- Rethinking the Meaning of Cloud Computing for Health Care: A Taxonomic Perspective and Future Research Directions.Journal of medical Internet research · 2018Article
- The Association between eHealth Capabilities and the Quality and Safety of Health Care in the Netherlands: Comparison of HIMSS Analytics EMRAM data with Elsevier's 'The Best Hospitals' data.Journal of medical systems · 2015Article
- Perspectives on what is needed to implement genomic medicine.Molecular genetics & genomic medicine · 2015Article
- Challenges, alternatives, and paths to sustainability: better public health promotion using social networking pages as key tools.Journal of medical systems · 2015Article
- Reliability and validity of the American Hospital Association's national longitudinal survey of health information technology adoption.Journal of the American Medical Informatics Association : JAMIA · 2014Article
- Cloud-based hospital information system as a service for grassroots healthcare institutions.Journal of medical systems · 2014Article
- A proposed clinical decision support architecture capable of supporting whole genome sequence information.Journal of personalized medicine · 2014Article
- EHR in emergency rooms: exploring the effect of key information components on main complaints.Journal of medical systems · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Previous studies show that the healthcare industry lags behind many other economic sectors in the adoption of information technology. The purpose of this study is to understand differences in structural characteristics between providers that do and that do not adopt Health Information Technology (HIT) applications. Publicly available secondary data were used from three sources: American Hospital Association (AHA) annual survey, Healthcare Information and Management Systems Society (HIMSS) analytics annual survey, and Healthcare Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS) databases. Fifty-two information technologies were grouped into three clusters: clinical, administrative, and strategic decision making ITs. Negative binomial regression was applied with adoption of technology as the dependent variables and eight organizational and contextual factors as the independent variables. Hospitals adopt a relatively larger proportion of administrative information technology as compared to clinical and strategic IT. Large size, urban location and HMO penetration were found to be the most influential hospital characteristics that positively affect information technology adoption. There are still considerable variations in the adoption of information technology across hospitals and in the type of technology adopted. Organizational factors appear to be more influential than market factors when it comes to information technology adoption. The future research may examine whether the Electronic Health Record (EHR) Incentive Program in 2011 would increase the information technology uses in hospitals as it provides financial incentives for HER adoptions and uses among providers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.