ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012
Data-driven order set generation and evaluation in the pediatric environment.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases.Journal of the American Medical Informatics Association : JAMIA · 2020Trial
- Physician Usage and Acceptance of a Machine Learning Recommender System for Simulated Clinical Order Entry.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Neural Networks for Clinical Order Decision Support.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Exploring Different Approaches in Measuring EHR-based Adherence to Best Practice - A Case Study with Order Sets and Associated Outcomes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Creation and Use of an Electronic Health Record Reporting Database to Improve a Laboratory Test Utilization Program.Applied clinical informatics · 2018Article
- Extracting Actionable Recommendations for Modifying Enterprise Order Set Templates from CPOE Utilization Patterns.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Visualization of Order Set Creation and Usage Patterns in Early Implementation Phases of an Electronic Health Record.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Paving the COWpath: data-driven design of pediatric order sets.Journal of the American Medical Informatics Association : JAMIA · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Order sets as part of the Computerized Provider Order Entry (CPOE) system can improve care delivery through allowing faster and easier physician order entry guided by known best practices. This study examines current utilization patterns of order sets and "a la carte" orders in a pediatric environment with a preliminary investigation of methods to automate the creation and modification of order sets using historical ordering data. We examine the current usage of order sets associated with Asthma Minor and Appendectomy Minor patients to understand how physicians are utilizing order sets, and how order set usage is associated with the time of ordering and characteristics of order sets. K-means clustering was applied to orders to generate evidence-based order sets that are learned from historical hospital data. We demonstrate that coverage rate of order sets and ordering efficiency can be increased through modifications of existing sets and creation of new sets.
Indexed as
Identifiers
23304427PMC3540526What 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.