ArticleJournal of the American Medical Informatics Association : JAMIA
Electronic health record meets digital library: a new environment for achieving an old goal.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Electronic Health Records: Then, Now, and in the Future.Yearbook of medical informatics · 2016Review
- Evaluating the ability of hospital information systems to establish evidence-based medicine in Iran.Journal of medical systems · 2013Article
- Impact and user satisfaction of a clinical information portal embedded in an electronic health record.Perspectives in health information managemen · 2011Article
- Clinical Digital Libraries Project: design approach and exploratory assessment of timely use in clinical environments.Journal of the Medical Library Association : JMLA · 2006Article
- A current perspective on medical informatics and health sciences librarianship.Journal of the Medical Library Association : JMLA · 2005Review
- Foundations of a healthcare knowledge management application system.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2005Article
- The population health record: concepts, definition, design, and implementation.Journal of the American Medical Informatics Association : JAMIAArticle
- An informatics infrastructure is essential for evidence-based practice.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Linking the electronic health record to the digital library is a Web-era reformulation of the long-standing informatics goal of seamless integration of automated clinical data and relevant knowledge-based information to support informed decisions. The spread of the Internet, the development of the World Wide Web, and converging format standards for electronic health data and digital publications make effective linking increasingly feasible. Some existing systems link electronic health data and knowledge-based information in limited settings or limited ways. Yet many challenging informatics research problems remain to be solved before flexible and seamless linking becomes a reality and before systems become capable of delivering the specific piece of information needed at the time and place a decision must be made. Connecting the electronic health record to the digital library also requires positive resolution of important policy issues, including health data privacy, government encouragement of high-speed communications, electronic intellectual property rights, and standards for health data and for digital libraries. Both the research problems and the policy issues should be important priorities for the field of medical informatics.
Indexed as
Identifiers
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.