ArticleBMC medical informatics and decision making2012
A study of diverse clinical decision support rule authoring environments and requirements for integration.
Article in BMC medical informatics and decision making, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03911687 (Communicating Narrative Concerns Entered by RNs), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Communicating Narrative Concerns Entered by RNs (CONCERN) Clinical Decision Support (CDS) System
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Requirements for Manual Knowledge Acquisition Tools: Systematic Literature Review and Expert Panel Consensus.Journal of medical systems · 2025Pooled it
- Reusable Generic Clinical Decision Support System Module for Immunization Recommendations in Resource-Constraint Settings.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025Article
- Modelling clinical narrative as computable knowledge: The NICE computable implementation guidance project.Learning health systems · 2023Article
- Ontologies Applied in Clinical Decision Support System Rules: Systematic Review.JMIR medical informatics · 2023Review
- A Computer-Interpretable Guideline for COVID-19: Rapid Development and Dissemination.JMIR medical 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
- Leveraging Knowledge Representation to Maintain Immunization Clinical Decision Support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Leveraging Terminology Services for Extract-Transform-Load Processes: A User-Centered Approach.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Creating Shareable Clinical Decision Support Rules for a Pharmacogenomics Clinical Guideline Using Structured Knowledge Representation.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
- Retrospective checking of compliance with practice guidelines for acute stroke care: a novel experiment using openEHR's Guideline Definition Language.BMC medical informatics and decision making · 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
8 authors.
Funding
Abstract
backgroundEfficient rule authoring tools are critical to allow clinical Knowledge Engineers (KEs), Software Engineers (SEs), and Subject Matter Experts (SMEs) to convert medical knowledge into machine executable clinical decision support rules. The goal of this analysis was to identify the critical success factors and challenges of a fully functioning Rule Authoring Environment (RAE) in order to define requirements for a scalable, comprehensive tool to manage enterprise level rules.
methodsThe authors evaluated RAEs in active use across Partners Healthcare, including enterprise wide, ambulatory only, and system specific tools, with a focus on rule editors for reminder and medication rules. We conducted meetings with users of these RAEs to discuss their general experience and perceived advantages and limitations of these tools.
resultsWhile the overall rule authoring process is similar across the 10 separate RAEs, the system capabilities and architecture vary widely. Most current RAEs limit the ability of the clinical decision support (CDS) interventions to be standardized, sharable, interoperable, and extensible. No existing system meets all requirements defined by knowledge management users.
conclusionsA successful, scalable, integrated rule authoring environment will need to support a number of key requirements and functions in the areas of knowledge representation, metadata, terminology, authoring collaboration, user interface, integration with electronic health record (EHR) systems, testing, and reporting.
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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.