Trial reportAMIA ... Annual Symposium proceedings. AMIA Symposium2006
Improving the sensitivity of the problem list in an intensive care unit by using natural language processing.
Trial report in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit.Intensive care medicine · 2021Pooled it
- Improving completeness of electronic problem lists through clinical decision support: a randomized, controlled trial.Journal of the American Medical Informatics Association : JAMIATrial
- Classification of neurologic outcomes from medical notes using natural language processing.Expert systems with applications · 2023Article
- A Research Agenda for Diagnostic Excellence in Critical Care Medicine.Critical care clinics · 2022Review
- Building a Shared, Scalable, and Sustainable Source for the Problem-Oriented Medical Record: Developmental Study.JMIR medical informatics · 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
- Contextual property detection in Dutch diagnosis descriptions for uncertainty, laterality and temporality.BMC medical informatics and decision making · 2021Article
- Classification of the Disposition of Patients Hospitalized with COVID-19: Reading Discharge Summaries Using Natural Language Processing.JMIR medical informatics · 2021Article
- Evaluation of a Concept Mapping Task Using Named Entity Recognition and Normalization in Unstructured Clinical Text.Journal of healthcare informatics research · 2020Article
- Recording problems and diagnoses in clinical care: developing guidance for healthcare professionals and system designers.BMJ health & care informatics · 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
- Comparison of EHR-based diagnosis documentation locations to a gold standard for risk stratification in patients with multiple chronic conditions.Applied clinical informatics · 2017Article
- Is the problem list in the eye of the beholder? An exploration of consistency across physicians.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Building an automated SOAP classifier for emergency department reports.Journal of biomedical informatics · 2012Article
- Using electronic medical records to enable large-scale studies in psychiatry: treatment resistant depression as a model.Psychological medicine · 2012Article
- Multiple chronic conditions and disabilities: implications for health services research and data demands.Health services research · 2010Article
- Electronic medical records for discovery research in rheumatoid arthritis.Arthritis care & research · 2010Article
- Content and structure of clinical problem lists: a corpus analysis.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To improve the completeness of an electronic problem list, we have developed a system using Natural Language Processing to automatically extract potential medical problems from clinical free-text documents; these problems are then proposed for inclusion in an electronic problem list management application. A prospective randomized controlled evaluation of this system in an intensive care unit is reported here. A total of 105 patients were randomly assigned to a control or an intervention group. In the latter, patients had their documents analyzed by the system and medical problems discovered were proposed for inclusion into their problem list. In this population, our system significantly increased the sensitivity of the problem lists, from 8.9% to 41%, and to 77.4% if problems automatically proposed but not acknowledged by users were also considered.
Indexed as
Identifiers
17238402PMC1839473What 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.