ArticleLearning health systems2017
Diverging views on health information exchange organizations.
Article in Learning health systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Development and launch of a regional learning network to improve physical and mental health outcomes.Learning health systems · 2025Article
- Mind the gap: the potential of alternative health information exchange.The American journal of managed care · 2019Article
- The relationship between hospital and ehr vendor market dynamics on health information organization presence and participation.BMC medical informatics and decision making · 2018Article
- The Association Between State-Level Health Information Exchange Laws and Hospital Participation in Community Health Information Organizations.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Diverging views on health information exchange organizations.Learning health systems · 2017Article
- Strategic use of health information exchange and market share, payer mix, and operating margins.Health care management reviewArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
introductionHealth information exchange (HIE) capabilities meet the demands for a more effective, efficient, and safer health care system. However, organizations and individual providers have pursued different strategies to meet their respective needs for HIE capabilities. Because effective information sharing is necessary to a learning health system, this study sought to explore the perceptions of different approaches' effect on key features of an effective health care system.
methodsAn anonymous web-based survey was sent to a convenience sample of the membership of the Healthcare Information and Management Systems Society and the Strategic Health Information Exchange Collaborative with knowledge of HIE (n=68). A series of 7-point Likert-type items measured perceptions of enterprise health information exchanges (eHIEs) and community health information organizations (cHIOs) in the areas of effect on exchange participation, effect on market dynamics, relationship to DIRECT Secure Messaging and vendor-mediated exchange, and effect on quality. Also, respondents were asked to rate 13 qualities and services as "more about eHIE" or "more about cHIO."
resultsRespondents tended to agree on the importance of cHIO and eHIE. Community benefits and support for public health agencies were concepts more often applied to cHIOs. DISCUSSION: This study affirmed much of the conventional wisdom and anecdotal comments about perceptions of cHIOs and eHIEs. Although the respondents viewed cHIOs and eHIEs differently in terms of broader societal benefit and strategic advantage, nonetheless consistent agreement appeared in areas of importance in relationship to other information sharing strategies and overall effect on the quality of care.
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What OpenQuestion holds
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.