ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2013
Patient encounters and care transitions in one community supported by automated query-based health information exchange.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Health Care Worker Usage of Large-Scale Health Information Exchanges in Japan: User-Level Audit Log Analysis Study.JMIR medical informatics · 2024Article
- Review
- Article
- Health Information Exchange Use (1990-2015): A Systematic Review.EGEMS (Washington, DC) · 2017Article
- Health information exchange associated with improved emergency department care through faster accessing of patient information from outside organizations.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- The implications and impact of 3 approaches to health information exchange: community, enterprise, and vendor-mediated health information exchange.Learning health systems · 2017Article
- Patient crossover and potentially avoidable repeat computed tomography exams across a health information exchange.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- When Should ED Physicians Use an HIE? Predicting Presence of Patient Data in an HIE.Southern medical journal · 2016Article
- Health Information Exchange Readiness for Demonstrating Return on Investment and Quality of Care.Perspectives in health information managemen · 2015Article
- Adoption of clinical data exchange in community settings: a comparison of two approaches.AMIA ... Annual Symposium proceedings. AMIA Symposium · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Care transitions from one facility to another threaten patient safety due to the potential loss of critical clinical information. Electronic clinical data exchange may address the problem. Approaches to exchange range from manual directed exchange, or sending point-to-point messages, to automated query-based health information exchange (HIE), or aggregating data from multiple sources. In this study, we measured the extent to which automated query-based HIE supported patient encounters and care transitions in one community. During the 23-month study period, 41% (n=33,219) of affirmatively consented patients had at least one encounter supported by automated query-based HIE. Of these patients, 41% (n=13,685) visited two or more facilities and accounted for 68% of total encounters. Of total encounters, 28% (n=40,828) were care transitions from one facility to another. Findings suggest that automated query-based HIE may support care transitions with efficient information sharing and assist United States providers in achieving stage two of meaningful use.
Indexed as
Identifiers
24551330PMC3900171What 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.