Using electronic health records for clinical pharmacology research: Challenges and considerations
Electronic health records (EHRs) contain a vast array of phenotypic data on large numbers
of individuals, often collected over decades. Due to the wealth of information, EHR data …
of individuals, often collected over decades. Due to the wealth of information, EHR data …
A general framework for developing computable clinical phenotype algorithms
DS Carrell, JS Floyd, S Gruber… - Journal of the …, 2024 - academic.oup.com
Objective Present a general framework providing high-level guidance to developers of
computable algorithms for identifying patients with specific clinical conditions (phenotypes) …
computable algorithms for identifying patients with specific clinical conditions (phenotypes) …
Demographics, Trends, and Clinical Characteristics of HIV Pre-Exposure Prophylaxis Recipients and People Newly Diagnosed with HIV from Large Electronic Health …
Florida is one of the HIV epicenters with high incidence and marked sociodemographic
disparities. We analyzed a decade of statewide electronic health record/claims data …
disparities. We analyzed a decade of statewide electronic health record/claims data …
Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data
INTRODUCTION Alzheimer's disease (AD) is often misclassified in electronic health records
(EHRs) when relying solely on diagnosis codes. This study aimed to develop a more …
(EHRs) when relying solely on diagnosis codes. This study aimed to develop a more …
[HTML][HTML] Validation of human immunodeficiency virus diagnosis codes among women enrollees of a US health plan
G Pocobelli, M Oliver, L Albertson-Junkans… - BMC Health Services …, 2024 - Springer
Background Efficiently identifying patients with human immunodeficiency virus (HIV) using
administrative health care data (eg, claims) can facilitate research on their quality of care …
administrative health care data (eg, claims) can facilitate research on their quality of care …
The impact of electronic health records (EHR) data continuity on prediction model fairness and racial-ethnic disparities
Electronic health records (EHR) data have considerable variability in data completeness
across sites and patients. Lack of" EHR data-continuity" or" EHR data-discontinuity", defined …
across sites and patients. Lack of" EHR data-continuity" or" EHR data-discontinuity", defined …
Developing a computable phenotype for glioblastoma
Background Glioblastoma is the most common malignant brain tumor, and thus it is
important to be able to identify patients with this diagnosis for population studies. However …
important to be able to identify patients with this diagnosis for population studies. However …
[HTML][HTML] Automated HIV Case Identification from the MIMIC-IV Database
K Jiang, T Cao - AMIA Summits on Translational Science …, 2024 - ncbi.nlm.nih.gov
Automatic HIV phenotyping is needed for HIV research based on electronic health records
(EHRs). MIMIC-IV, an extension of MIMIC-III, contains more than 520,000 hospital …
(EHRs). MIMIC-IV, an extension of MIMIC-III, contains more than 520,000 hospital …
Computational phenotyping with the All of Us Research Program: identifying underrepresented people with HIV or at risk of HIV
Objective This study aims to identify the people living with HIV (PWH) and pre-exposure
prophylaxis (PrEP) users in the All of Us (AoU) database by integrating information from both …
prophylaxis (PrEP) users in the All of Us (AoU) database by integrating information from both …