Results 71 to 80 of about 1,444 (142)

Mapping Drug Terms via Integration of a Retrieval-Augmented Generation Algorithm with a Large Language Model [PDF]

Healthcare Informatics Research
Objectives This study evaluated the efficacy of integrating a retrieval-augmented generation (RAG) model and a large language model (LLM) to improve the accuracy of drug name mapping across international vocabularies.
Eizen Kimura, Yukinobu Kawakami, Shingo Inoue, Ai Okajima   +3 more
doaj   +1 more source

Incidence of Potentially Inappropriate Prescribing: Longitudinal Investigation of Outpatient EHR Prescriptions

Journal of the American Geriatrics Society, Volume 73, Issue 3, Page 728-736, March 2025.
ABSTRACT Importance The incidence of potentially inappropriate medication (PIM) prescribing among older adults is not as well studied as its prevalence. Estimates of factors associated with PIM incidence, such as patient age, sex, race‐ethnicity, medication subsidy support, and comorbidity, are also limited.
Steven M. Albert, Xiaotong Li, Sandra L. Gill‐Kane, Jacob Lombardi, Krishi Akenapalli, Richard D. Boyce   +5 more
wiley   +1 more source

Expanding the OMOP Common Data Model to Support Perinatal Research in Network Studies

Pharmacoepidemiology and Drug Safety, Volume 34, Issue 2, February 2025.
ABSTRACT Objectives The Observational Medical Outcomes Partnership common data model (OMOP‐CDM) is a useful tool for large‐scale network analysis but currently lacks a structured approach to pregnancy episodes. We aimed to develop and implement a perinatal expansion for the OMOP‐CDM to facilitate perinatal network research.
Alicia Abellan, Edward Burn, Nhung T. H. Trinh, Theresa Burkard, Alison Callahan, Sergio Fernández‐Bertolín, Eimir Hurley, Clara Rodriguez, Elena Segundo, Daniel R. Morales, Hedvig M. E. Nordeng, Talita Duarte‐Salles   +11 more
wiley   +1 more source

INSIGHT: A Tool for Fit‐for‐Purpose Evaluation and Quality Assessment of Standardized Observational Data Sources for Real World Evidence on Medicine and Vaccine Safety

Pharmacoepidemiology and Drug Safety, Volume 34, Issue 1, January 2025.
ABSTRACT Purpose To describe the development of INSIGHT, a real‐world data quality tool to assess completeness, consistency, and fitness‐for‐purpose of observational health data sources. Methods We designed a three‐level pipeline with data quality assessments (DQAs) to be performed in ConcePTION Common Data Model (CDM) instances.
Vjola Hoxhaj, Constanza L. Andaur Navarro, Judit Riera‐Arnau, Roel J. H. J. Elbers, Ema Alsina, Caitlin Dodd, Miriam C. J. M. Sturkenboom   +6 more
wiley   +1 more source

2354

Journal of Clinical and Translational Science, 2017
OBJECTIVES/SPECIFIC AIMS: Hepatitis C viral (HCV) infections are rising significantly both in young adults and as newly diagnosed cases in “baby boomers.” New HCV therapeutics cure over 95% of cases, and a call has been made for elimination of the ...
Dawn A Fishbein, Ian Brooks, Emanuel Villa Baca, Ozgur Ozmen, Mallikarjun Shankar, Gil Weigand, Kristina Thiagarajan, Randy Estes, Alex Geboy, Hala Deeb, Mamta Jain, Lesley Miller   +11 more
doaj   +1 more source

Development and Validation of Phenotype Classifiers across Multiple Sites in the Observational Health Sciences and Informatics (OHDSI) Network [PDF]

, 2019
ABSTRACTObjectiveAccurate electronic phenotyping is essential to support collaborative observational research. Supervised machine learning methods can be used to train phenotype classifiers in a high-throughput manner using imperfectly labeled data. We developed ten phenotype classifiers using this approach and evaluated performance across multiple ...
Kashyap, Mehr, Seneviratne, Martin, Banda, Juan M, Falconer, Thomas, Ryu, Borim, Yoo, Sooyoung, Hripcsak, George, Shah, Nigam H   +7 more
openaire   +1 more source

Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies

Ophthalmology Science
Objective: To identify and characterize concept coverage gaps of ophthalmology examination data elements within the Cerner Millennium electronic health record (EHR) implementations by the Observational Health Data Sciences and Informatics Observational ...
Justin C. Quon, MD, Christopher P. Long, MD, William Halfpenny, MBBS, MEng, Amy Chuang, MS, Cindy X. Cai, MD, MS, Sally L. Baxter, MD, MSc, Vamsi Daketi, MS, Amanda Schmitz, BS, Neil Bahroos, MS, Benjamin Y. Xu, MD, PhD, Brian C. Toy, MD   +10 more
doaj   +1 more source

352 Dermatology research with the Observational Health Data Sciences and Informatics (OHDSI) network [PDF]

Journal of Investigative Dermatology, 2021
T.E. Sivesind, T. Runion, M. Branda, L. Schilling, R. Dellavalle   +4 more
openaire   +1 more source

A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data

Scientific Reports
The emergence of collaborations, which standardize and combine multiple clinical databases across different regions, provide a wealthy source of data, which is fundamental for clinical prediction models, such as patient-level predictions. With the aid of
Najia Ahmadi, Quang Vu Nguyen, Martin Sedlmayr, Markus Wolfien   +3 more
doaj   +1 more source

Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study

Epidemiology and Psychiatric Sciences
Aims Population-wide restrictions during the COVID-19 pandemic may create barriers to mental health diagnosis. This study aims to examine changes in the number of incident cases and the incidence rates of mental health diagnoses during the COVID-19 ...
Yi Chai, Kenneth K. C. Man, Hao Luo, Carmen Olga Torre, Yun Kwok Wing, Joseph F. Hayes, David P. J. Osborn, Wing Chung Chang, Xiaoyu Lin, Can Yin, Esther W. Chan, Ivan C. H. Lam, Stephen Fortin, David M. Kern, Dong Yun Lee, Rae Woong Park, Jae-Won Jang, Jing Li, Sarah Seager, Wallis C. Y. Lau, Ian C. K. Wong   +20 more
doaj   +1 more source