ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011
Determining the reasons for medication prescriptions in the EHR using knowledge and natural language processing.
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 21 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Medication-indication knowledge bases: a systematic review and critical appraisal.Journal of the American Medical Informatics Association : JAMIA · 2015Pooled it
- An automated tool for detecting medication overuse based on the electronic health records.Pharmacoepidemiology and drug safety · 2013Trial
- Natural language processing to enhance rheumatoid arthritis care in clinical studies: a scoping review of applications, data, approaches, challenges and future directions.Rheumatology international · 2026Article
- Nighttime Sleep Symptoms and Sleep-Relevant Medication Documentation Among Adults Receiving Buprenorphine for Opioid Use Disorder.Substance abuse and rehabilitation · 2026Article
- Risk Management and Patient Safety in the Artificial Intelligence Era: A Systematic Review.Healthcare (Basel, Switzerland) · 2024Review
- Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review.JMIR medical informatics · 2023Review
- Hierarchical Concept Relations Improve Detection of Off-Label Drug Use in Electronic Health Records Data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review.JAMIA open · 2020Review
- Use of Natural Language Processing Algorithms to Identify Common Data Elements in Operative Notes for Total Hip Arthroplasty.The Journal of bone and joint surgery. American volume · 2019Article
- Developing a Data-driven Medication Indication Knowledge Base using a Large Scale Medical Claims Database.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Extraction and Standardization of Patient Complaints from Electronic Medication Histories for Pharmacovigilance: Natural Language Processing Analysis in Japanese.JMIR medical informatics · 2018Article
- Evaluation of a Novel System to Enhance Clinicians' Recognition of Preadmission Adverse Drug Reactions.Applied clinical informatics · 2018Article
- Derivation and validation of a multivariable model to predict when primary care physicians prescribe antidepressants for indications other than depression.Clinical epidemiology · 2018Article
- Generalized Extraction and Classification of Span-Level Clinical Phrases.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Monitoring prescribing patterns using regression and electronic health records.BMC medical informatics and decision making · 2017Article
- Off-label indications for antidepressants in primary care: descriptive study of prescriptions from an indication based electronic prescribing system.BMJ (Clinical research ed.) · 2017Article
- Automated detection of off-label drug use.PloS one · 2014Article
- Standardizing adverse drug event reporting data.Journal of biomedical semantics · 2014Article
- Analysis of medication and indication occurrences in clinical notes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
- Lessons learned from developing a drug evidence base to support pharmacovigilance.Applied clinical informatics · 2013Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Knowledge of medication indications is significant for automatic applications aimed at improving patient safety, such as computerized physician order entry and clinical decision support systems. The Electronic Health Record (EHR) contains pertinent information related to patient safety such as information related to appropriate prescribing. However, the reasons for medication prescriptions are usually not explicitly documented in the patient record. This paper describes a method that determines the reasons for medication uses based on information occurring in outpatient notes. The method utilizes drug-indication knowledge that we acquired, and natural language processing. Evaluation showed the method obtained a sensitivity of 62.8%, specificity of 93.9%, precision of 90% and F-measure of 73.9%. This pilot study demonstrated that linking external drug indication knowledge to the EHR for determining the reasons for medication use was promising, but also revealed some challenges. Future work will focus on increasing the accuracy and coverage of the indication knowledge and evaluating its performance using a much larger set of drugs frequently used in the outpatient population.
Indexed as
Identifiers
22195134PMC3243251What 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.