ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012
Characterizing the use and contents of free-text family history comments in the Electronic Health Record.
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 12 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
12 citing papers in PubMed.
- Advancements in Electronic Medical Records for Clinical Trials: Enhancing Data Management and Research Efficiency.Cancers · 2025Review
- Characterizing Autism Spectrum Disorder and Predicting Suicide Risk for Pediatric Psychiatric Emergency Services Encounters.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Identifying Patients Who Meet Criteria for Genetic Testing of Hereditary Cancers Based on Structured and Unstructured Family Health History Data in the Electronic Health Record: Natural Language Processing Approach.JMIR medical informatics · 2022Article
- Coding Free-Text Chief Complaints from a Health Information Exchange: A Preliminary Study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Determining Onset for Familial Breast and Colorectal Cancer from Family History Comments in the Electronic Health Record.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Generalized Extraction and Classification of Span-Level Clinical Phrases.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Systematic Analysis of Free-Text Family History in Electronic Health Record.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017Article
- Electronic Health Records: Then, Now, and in the Future.Yearbook of medical informatics · 2016Review
- Multi-source development of an integrated model for family health history.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- An analysis of free-text alcohol use documentation in the electronic health record: early findings and implications.Applied clinical informatics · 2014Article
- Automated extraction of family history information from clinical notes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
- Mining and Visualizing Family History Associations in the Electronic Health Record: A Case Study for Pediatric Asthma.AMIA ... Annual Symposium proceedings. AMIA SymposiumArticle
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
The detailed collection of family history information is becoming increasingly important for patient care and biomedical research. Recent reports have highlighted the need for efforts to better understand collection and use of this information in resources such as the Electronic Health Record (EHR). This two-part study involved characterizing the use and contents of free-text comments within the family history section of an EHR. Based on a manual review of a subset of 11,456 cancer-related family history entries, 20 "reasons for use" were identified and the distribution across these reasons determined. A semi-automated analysis of the 3,358 unique comments associated with these entries was then performed to identify and quantify key categories of information. Implications of this study include guiding efforts for the improved use, collection, and subsequent analysis of family history information in the EHR.
Indexed as
Identifiers
23304276PMC3540518What 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.