ArticleJMIR medical informatics2016
Putting Meaning into Meaningful Use: A Roadmap to Successful Integration of Evidence at the Point of Care.
Article in JMIR medical informatics, 2016. 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.
- External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection.PloS one · 2019Pooled it
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- Managing Resource Utilization Cost of Laboratory Tests for Patients on Chemotherapy in Johns Hopkins Aramco Healthcare.Global journal on quality and safety in healthcare · 2023Article
- Integrating Clinical Decision Support Into Electronic Health Record Systems Using a Novel Platform (EvidencePoint): Developmental Study.JMIR formative research · 2023Article
- Universal EHRs Clinical Decision Support for Thromboprophylaxis in Medical Inpatients: A Cluster Randomized Trial.JACC. Advances · 2023Article
- Article
- Automated model versus treating physician for predicting survival time of patients with metastatic cancer.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Integrating Option Grid Patient Decision Aids in the Epic Electronic Health Record: Case Study at 5 Health Systems.Journal of medical Internet research · 2021Article
- A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study.JMIR medical informatics · 2021Article
- Article
- Covering patient's perspective in case-based critical review articles to improve shared decision making in complex cases.Health expectations : an international journal of public participation in health care and health policy · 2020Review
- Economic impact of clinical decision support interventions based on electronic health records.BMC health services research · 2020Review
- Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care.The oncologist · 2019Article
- Personalized medicine for patients with COPD: where are we?International journal of chronic obstructive pulmonary disease · 2019Review
- Translating clinical trial results into personalized recommendations by considering multiple outcomes and subjective views.NPJ digital medicine · 2019Article
- Methodological standards for the development and evaluation of clinical prediction rules: a review of the literature.Diagnostic and prognostic research · 2019Review
- THE HIGH COST OF LOW VALUE CARE.Transactions of the American Clinical and Climatological Association · 2019Article
- Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse.Journal of medical Internet research · 2018Article
- Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs.JMIR medical informatics · 2018Article
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
Pressures to contain health care costs, personalize patient care, use big data, and to enhance health care quality have highlighted the need for integration of evidence at the point of care. The application of evidence-based medicine (EBM) has great promise in the era of electronic health records (EHRs) and health technology. The most successful integration of evidence into EHRs has been complex decision tools that trigger at a critical point of the clinical visit and include patient specific recommendations. The objective of this viewpoint paper is to investigate why the incorporation of complex CDS tools into the EMR is equally complex and continues to challenge health service researchers and implementation scientists. Poor adoption and sustainability of EBM guidelines and CDS tools at the point of care have persisted and continue to document low rates of usage. The barriers cited by physicians include efficiency, perception of usefulness, information content, user interface, and over-triggering. Building on the traditional EHR implementation frameworks, we review keys strategies for successful CDSs: (1) the quality of the evidence, (2) the potential to reduce unnecessary care, (3) ease of integrating evidence at the point of care, (4) the evidence's consistency with clinician perceptions and preferences, (5) incorporating bundled sets or automated documentation, and (6) shared decision making tools. As EHRs become commonplace and insurers demand higher quality and evidence-based care, better methods for integrating evidence into everyday care are warranted. We have outlined basic criteria that should be considered before attempting to integrate evidenced-based decision support tools into the EHR.
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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.