ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2016
Prioritization and Refinement of Clinical Data Elements within EHR Systems.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Amplifying Domain Expertise in Clinical Data Pipelines.JMIR medical informatics · 2020Article
- Gap Analysis and Refinement Recommendations of Skin Alteration and Pressure Ulcer Enterprise Reference Models against Nursing Flowsheet Data Elements.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Evolution of an Implementation-Ready Interprofessional Pain Assessment Reference Model.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Standardization of clinical data element (CDE) definitions is foundational to track, interpret, and analyze patient states, populations, and costs across providers, settings and time - critical activities to achieve the Triple Aim: improving the experience of care, improving the health of populations, and reducing per capita healthcare costs. We defined and implemented two analytical methods to prioritize and refine CDE definitions within electronic health records (EHRs), taking into account resource restrictions to carry out the analysis and configuration changes: 1) analysis of downstream data needs to identify high priority clinical topics, and 2) gap analysis of EHR CDEs when compared to reference models for the same clinical topics. We present use cases for six clinical topics. Pain Assessment and Skin Alteration Assessment were topics with the highest regulatory and non-regulatory downstream data needs and with significant gaps across documention artifacts in our system, confirming that these topics should be refined first.
Indexed as
Identifiers
28269837PMC5333277What 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.