ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011
A prototype knowledge base and SMART app to facilitate organization of patient medications by clinical problems.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Development of a clinician reputation metric to identify appropriate problem-medication pairs in a crowdsourced knowledge base.Journal of biomedical informatics · 2014Article
- Clinical decision support alert appropriateness: a review and proposal for improvement.Ochsner journal · 2014Review
- Health care transformation through collaboration on open-source informatics projects: integrating a medical applications platform, research data repository, and patient summarization.Interactive journal of medical research · 2013Article
- Clinical Summarization Capabilities of Commercially-available and Internally-developed Electronic Health Records.Applied clinical informatics · 2012Article
- Development and evaluation of a crowdsourcing methodology for knowledge base construction: identifying relationships between clinical problems and medications.Journal of the American Medical Informatics Association : JAMIAArticle
- Use of a support vector machine for categorizing free-text notes: assessment of accuracy across two institutions.Journal of the American Medical Informatics Association : JAMIAArticle
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
Abstract
Increasing use of electronic health records requires comprehensive patient-centered views of clinical data. We describe a prototype knowledge base and SMART app that facilitates organization of patient medications by clinical problems, comprising a preliminary step in building such patient-centered views. The knowledge base includes 7,164,444 distinct problem-medication links, generated from RxNorm, SNOMED CT, and NDF-RT within the UMLS Metathesaurus. In an evaluation of the knowledge base applied to 5000 de-identified patient records, 22.4% of medications linked to an entry in the patient's active problem list, compared to 32.6% of medications manually linked by providers; 46.5% of total links were unique to the knowledge base, not added by providers. Expert review of a random patient subset estimated a sensitivity of 37.1% and specificity of 98.9%. The SMART API successfully utilized the knowledge base to generate problem-medication links for test patients. Future work is necessary to improve knowledge base sensitivity and efficiency.
Indexed as
Identifiers
22195147PMC3243226What 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.