ArticleBMC medical informatics and decision making2011
Comparison of clinical knowledge management capabilities of commercially-available and leading internally-developed electronic health records.
Article in BMC medical informatics and decision making, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Knowledge Management Implementation and the Tools Utilized in Healthcare for Evidence-Based Decision Making: A Systematic Review.Ethiopian journal of health sciences · 2017Pooled it
- Ontologies Applied in Clinical Decision Support System Rules: Systematic Review.JMIR medical informatics · 2023Review
- Standards-Based Clinical Decision Support Platform to Manage Patients Who Meet Guideline-Based Criteria for Genetic Evaluation of Familial Cancer.JCO clinical cancer informatics · 2020Article
- Availability and usage of clinical decision support systems (CDSSs) in office-based primary care settings in the USA.BMJ health & care informatics · 2019Article
- Best practices for preventing malfunctions in rule-based clinical decision support alerts and reminders: Results of a Delphi study.International journal of medical informatics · 2018Article
- Clinical decision support alert malfunctions: analysis and empirically derived taxonomy.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Implementation of Knowledge Management in Chinese Hospitals.Current medical science · 2018Article
- Comparison of Overridden Medication-related Clinical Decision Support in the Intensive Care Unit between a Commercial System and a Legacy System.Applied clinical informatics · 2017Article
- Analysis of clinical decision support system malfunctions: a case series and survey.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision.Yearbook of medical informatics · 2016Review
- Cross-vendor evaluation of key user-defined clinical decision support capabilities: a scenario-based assessment of certified electronic health records with guidelines for future development.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Comparative outcome studies of clinical decision support software: limitations to the practice of evidence-based system acquisition.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Understanding critical barriers to implementing a clinical information system in a nursing home through the lens of a socio-technical perspective.Journal of medical systems · 2014Article
- Measuring agreement between decision support reminders: the cloud vs. the local expert.BMC medical informatics and decision making · 2014Article
- Opportunities for genomic clinical decision support interventions.Genetics in medicine : official journal of the American College of Medical Genetics · 2013Article
- Clinical decision support for colon and rectal surgery: an overview.Clinics in colon and rectal surgery · 2013Review
- Key principles for a national clinical decision support knowledge sharing framework: synthesis of insights from leading subject matter experts.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Lessons learned for collaborative clinical content development.Applied clinical informatics · 2013Article
- Context-based electronic health record: toward patient specific healthcare.IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society · 2012Article
- Transitioning from a legacy EHR to a commercial, vendor-supplied, EHR: one academic health system's experience.Applied clinical informatics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundWe have carried out an extensive qualitative research program focused on the barriers and facilitators to successful adoption and use of various features of advanced, state-of-the-art electronic health records (EHRs) within large, academic, teaching facilities with long-standing EHR research and development programs. We have recently begun investigating smaller, community hospitals and out-patient clinics that rely on commercially-available EHRs. We sought to assess whether the current generation of commercially-available EHRs are capable of providing the clinical knowledge management features, functions, tools, and techniques required to deliver and maintain the clinical decision support (CDS) interventions required to support the recently defined "meaningful use" criteria.
methodsWe developed and fielded a 17-question survey to representatives from nine commercially available EHR vendors and four leading internally developed EHRs. The first part of the survey asked basic questions about the vendor's EHR. The second part asked specifically about the CDS-related system tools and capabilities that each vendor provides. The final section asked about clinical content.
resultsAll of the vendors and institutions have multiple modules capable of providing clinical decision support interventions to clinicians. The majority of the systems were capable of performing almost all of the key knowledge management functions we identified.
conclusionIf these well-designed commercially-available systems are coupled with the other key socio-technical concepts required for safe and effective EHR implementation and use, and organizations have access to implementable clinical knowledge, we expect that the transformation of the healthcare enterprise that so many have predicted, is achievable using commercially-available, state-of-the-art EHRs.
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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.