ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017
Extracting Actionable Recommendations for Modifying Enterprise Order Set Templates from CPOE Utilization Patterns.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- When order sets do not align with clinician workflow: assessing practice patterns in the electronic health record.BMJ quality & safety · 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As part of an enterprise-wide rollout of a new EHR, Intermountain Healthcare is investing significant effort in building a central library of best-practice order sets. As part of this effort, we have built analytics tools that can capture and determine actionable opportunities for change to order set templates, as reflected by aggregate user data. In order to determine the acceptability of this system and set meaningful thresholds for actual use, we extracted recommendations for additions, removals, and change in initial order selection status for a series of thirteen order sets. We asked local clinical experts to review the changes and classify them as acceptable or not. In total, the system identified 362 potential changes in the order set templates and 186 were deemed acceptable. While further enhancement will co sharpen the efficacy of the intervention, we expect that this type of utility will provide useful insight for content owners.
Indexed as
Identifiers
29854162PMC5977614What 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.