ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008
Content and structure of clinical problem lists: a corpus analysis.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electronic problem lists: a thematic analysis of a systematic literature review to identify aspects critical to success.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review.JMIR medical informatics · 2023Review
- Overview of Physical Activity Counseling in Primary Care.Korean journal of family medicine · 2021Article
- Data gaps in electronic health record (EHR) systems: An audit of problem list completeness during the COVID-19 pandemic.International journal of medical informatics · 2021Article
- Characterizing outpatient problem list completeness and duplications in the electronic health record.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Automating the Transformation of Free-Text Clinical Problems into SNOMED CT Expressions.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Recording problems and diagnoses in clinical care: developing guidance for healthcare professionals and system designers.BMJ health & care informatics · 2019Article
- Efficient Active Learning for Electronic Medical Record De-identification.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Impact of problem-based charting on the utilization and accuracy of the electronic problem list.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Generalized Extraction and Classification of Span-Level Clinical Phrases.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- The Sublanguage of Clinical Problem Lists: A Corpus Analysis.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Automated methods for the summarization of electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2015Review
- De-identification of clinical narratives through writing complexity measures.International journal of medical informatics · 2014Article
- Building an automated SOAP classifier for emergency department reports.Journal of biomedical informatics · 2012Article
- Using SNOMED-CT to encode summary level data - a corpus analysis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2012Article
- Detecting pregnancy use of non-hormonal category X medications in electronic medical records.Journal of the American Medical Informatics Association : JAMIA · 2011Article
- A prototype knowledge base and SMART app to facilitate organization of patient medications by clinical problems.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011Article
- Corpus-Based Problem Selection for EHR Note Summarization.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010Article
- A method and knowledge base for automated inference of patient problems from structured data in an electronic medical record.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
In the interest of designing an automated high-level, longitudinal clinical summary of a patient record, we analyze traditional ways in which medical problems pertaining to the patient are summarized in the electronic health record. The patient problem list has become a commonly used proxy for a summary of patient history and automated methods have been proposed to generate it. However, little research has been conducted on how to structure the problem list in a manner most effective for supporting clinical care. This study analyzes the structure and content of the Past Medical History (PMH) sections of a large corpus of clinical notes, as a proxy for problem lists. Findings show that when listing patients history, physicians convey several semantic types of information, not only problems. Furthermore, they often group related concepts in a single line of the PMH. In contrast, traditional problem lists allow only a simple enumeration of coded terms. Content analysis goes on to reiterate the value of more complex representations as well as provide valuable data and guidelines for automated generation of a clinical summary.
Indexed as
Identifiers
18999284PMC2655994What 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.