ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2013
Ontological approach to reduce complexity in polypharmacy.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Using clinical reasoning ontologies to make smarter clinical decision support systems: a systematic review and data synthesis.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- An Ontology-Based Approach to Improving Medication Appropriateness in Older Patients: Algorithm Development and Validation Study.JMIR medical informatics · 2023Article
- OntoPharma: ontology based clinical decision support system to reduce medication prescribing errors.BMC medical informatics and decision making · 2022Article
- Comparing the representation of medicinal products in RxNorm and SNOMED CT - Consequences on interoperability.CEUR workshop proceedings · 2019Article
- The impracticality of biomedical rejuvenation therapies: translational and pharmacological barriers.Rejuvenation research · 2014Article
- MedMinify: An Advice-giving System for Simplifying the Schedules of Daily Home Medication Regimens Used to Treat Chronic Conditions.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients that are on many medications are often non-compliant due to the complexity of the medication regimen; consequently, a patient that is non-compliant can have poor medical outcomes. Providers are not always aware of the complexity of their patient's prescriptions. Methods have been developed to calculate the complexity for a patient's regimen but there are no widely available automated tools that will do this for a provider. Given that ontologies are known to provide well-principled, sharable, setting-independent and machine-interpretable declarative specification frameworks for modeling and reasoning on biomedical problems, we have explored their use in the context of reducing medication complexity. Previously we proposed an Ontology for modeling drug-related knowledge and a repository for complexity scoring. Here we tested the Ontology with patient data from the University of California San Diego Epic database, and we built a decision aide that computes the complexity and recommends changes to reduce the complexity, if needed.
Indexed as
Identifiers
24551346PMC3900187What 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.