Using Pooled Electronic Health Records Data to Conduct Pharmacoepidemiology Safety Studies: Challenges and Lessons Learned.
Sign Up to like & getrecommendations! Published in 2023 at "Pharmacoepidemiology and drug safety"
DOI: 10.1002/pds.5627
Abstract: PURPOSE We assessed the suitability of pooled electronic health record (EHR) data from Clinical Research Networks (CRNs) of the Patient-Centered Outcomes Research Network to conduct studies of the association between tumor necrosis factor inhibitors (TNFi)… read more here.
Keywords: conduct; ehr data; claims data; electronic health ... See more keywords
The relative benefits of claims and electronic health record data for predicting medication adherence trajectory
Sign Up to like & getrecommendations! Published in 2018 at "American Heart Journal"
DOI: 10.1016/j.ahj.2017.09.019
Abstract: Background Healthcare providers are increasingly encouraged to improve their patients’ adherence to chronic disease medications. Prediction of adherence can identify patients in need of intervention, but most prediction efforts have focused on claims data, which… read more here.
Keywords: ehr data; electronic health; medication; adherence trajectory ... See more keywords
Applying interpretable deep learning models to identify chronic cough patients using EHR data
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106395
Abstract: BACKGROUND AND OBJECTIVE Chronic cough (CC) affects approximately 10% of adults. Many disease states are associated with chronic cough, such as asthma, upper airway cough syndrome, bronchitis, and gastroesophageal reflux disease. The lack of an… read more here.
Keywords: learning models; ehr data; deep learning; cough ... See more keywords
Mind the clinical-analytic gap: Electronic health records and COVID-19 pandemic response
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Biomedical Informatics"
DOI: 10.1016/j.jbi.2021.103715
Abstract: Data quality is essential to the success of the most simple and the most complex analysis. In the context of the COVID-19 pandemic, large-scale data sharing across the US and around the world has played… read more here.
Keywords: ehr data; electronic health; clinical analytic; health ... See more keywords
A novel method for causal structure discovery from EHR data and its application to type-2 diabetes mellitus.
Sign Up to like & getrecommendations! Published in 2021 at "Scientific reports"
DOI: 10.1038/s41598-021-99990-7
Abstract: Modern AI-based clinical decision support models owe their success in part to the very large number of predictors they use. Safe and robust decision support, especially for intervention planning, requires causal, not associative, relationships. Traditional… read more here.
Keywords: data application; ehr data; causal; causal structure ... See more keywords
Quantifying Electronic Health Record Data Quality in Telehealth and Office-Based Diabetes Care
Sign Up to like & getrecommendations! Published in 2022 at "Applied Clinical Informatics"
DOI: 10.1055/s-0042-1758737
Abstract: Abstract Objective Data derived from the electronic health record (EHR) are commonly reused for quality improvement, clinical decision-making, and empirical research despite having data quality challenges. Research highlighting EHR data quality concerns has largely been… read more here.
Keywords: ehr data; data quality; history telehealth; quality ... See more keywords
Challenges and Opportunities for Using Big Health Care Data to Advance Medical Science and Public Health.
Sign Up to like & getrecommendations! Published in 2019 at "American journal of epidemiology"
DOI: 10.1093/aje/kwy292
Abstract: Methodological advancements in epidemiology, biostatistics, and data science have strengthened the research world's ability to use data captured from electronic health records (EHRs) to address pressing medical questions, but gaps remain. We describe methods investments… read more here.
Keywords: research; challenges opportunities; ehr data; science ... See more keywords
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocaa139
Abstract: Abstract Objective In applying machine learning (ML) to electronic health record (EHR) data, many decisions must be made before any ML is applied; such preprocessing requires substantial effort and can be labor-intensive. As the role… read more here.
Keywords: preprocessing pipeline; ehr data; pipeline; flexible data ... See more keywords
Healthcare utilization is a collider: an introduction to collider bias in EHR data reuse
Sign Up to like & getrecommendations! Published in 2023 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocad013
Abstract: OBJECTIVES Collider bias is a common threat to internal validity in clinical research but is rarely mentioned in informatics education or literature. Conditioning on a collider, which is a variable that is the shared causal… read more here.
Keywords: reuse; collider; ehr data; healthcare utilization ... See more keywords
Patient and researcher stakeholder preferences for use of electronic health record data: a qualitative study to guide the design and development of a platform to honor patient preferences.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocad058
Abstract: OBJECTIVE This qualitative study aimed to understand patient and researcher perspectives regarding consent and data-sharing preferences for research and a patient-centered system to manage consent and data-sharing preferences. MATERIALS AND METHODS We conducted focus groups… read more here.
Keywords: data sharing; patient researcher; health; ehr data ... See more keywords
Dementia and electronic health record phenotypes: a scoping review of available phenotypes and opportunities for future research.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocad086
Abstract: OBJECTIVE We performed a scoping review of algorithms using electronic health record (EHR) data to identify patients with Alzheimer's disease and related dementias (ADRD), to advance their use in research and clinical care. MATERIALS AND… read more here.
Keywords: health; review; ehr data; scoping review ... See more keywords