ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015
Validating free-text order entry for a note-centric EHR.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Qualitative and quantitative approach to assess of the potential for automating administrative tasks in general practice.BMJ open · 2020Article
- Clinical Documentation as End-User Programming.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2020Article
- Words prediction based on N-gram model for free-text entry in electronic health records.Health information science and systems · 2019Article
- Ascertainment of Aspirin Exposure Using Structured and Unstructured Large-scale Electronic Health Record Data.Medical care · 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
9 authors.
Funding
Abstract
Electronic Health Records (EHRs) have increased the utility and portability of health information by storing it in structured formats. However, EHRs separate this structured data from the rich, free-text descriptions of clinical notes. The ultimate objective of our research is to develop an interactive progress note that unifies entry, access, and retrieval of structured and unstructured health information. In this study we present the design and subsequent testing with eight clinicians of a core element of this envisioned note: free-text order entry. Clinicians saw this new order-entry paradigm as a way to save time and preserve data quality by reducing double-documentation. However, they wanted the prototype to recognize more diverse types of shorthand and apply default values to fields that remain fairly constant across orders, such as number of refills and pickup location. Future work will test more complex orders, such as cascading orders, with a broader range of clinicians.
Indexed as
Identifiers
26958249PMC4765684What 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.