The terms “electronic health record” (EHR) and “electronic health record system” (EHRS or EHR system) are often used interchangeably, with no generally agreed upon distinction. The terms “electronic medical record” (EMR) and “electronic medical record system” (EMRS or EMR system) have ...
Although these data are often stored in electronic health records (EHRs) and potentially very accessible, few studies on obesity and weight loss have used data derived from EHRs. We developed processes for obtaining data from the EHR in order to construct a database on patients undergoing Roux-...
In the past few decades, electronic health records (EHRs) have become a source of rich longitudinal data that can be leveraged to understand and predict complex diseases, particularly AD. Prior applications of EHRs for studying AD include deep phenotyping of AD7, identification of AD-related assoc...
Deriving disease subtypes from electronic health records (EHRs) can guide next-generation personalized medicine. However, challenges in summarizing and representing patient data prevent widespread practice of scalable EHR-based stratification analysis. Here we present an unsupervised framework based on deep ...
Electronic health records (EHRs) Electronic health record (EHR) systems play an integral role in today’s healthcare practice, enabling hospitals and other health organisations to consistently collect, organise, and provide ready access to health information. These health information systems have arguably...
Introduction Electronic health records (EHRs) are a key contributor to burnout,1,2 which affects nearly two-thirds of all physicians3 and half of family physicians.4 The COVID-19 pandemic has created a variety of new pressures for all physicians, including an increased volume of ...
From screening to ascertainment of the primary outcome using electronic health records: challenges in the STRIDE trial. Clin Trials. 2020;17(4):346–50. Article PubMed PubMed Central Google Scholar Toader AM, Gamble CL, Dodd S, Williamson PR. The use of healthcare systems data for RCTs....
Physicians’ well-being linked to in-basket messages generated by algorithms in electronic health records. Health Aff (Millwood). 2019;38(7):1073-1078. doi:10.1377/hlthaff.2018.05509PubMedGoogle ScholarCrossref 2. Arndt BG, Beasley JW, Watkinson MD, et al. Tethered to the ...
EHRs: Electronic health records NLP: Natural language processing NMEDW: Northwestern Medicine Enterprise Data Warehouse VUMC: Vanderbilt University Medical Center CUI: Concept unique identifier ACR: American College of Rheumatology SLICC: System Lupus International Collaborating Clinics EULAR/ACR: ...
Many electronic health records (EHRs) have prescription and pharmacy fill data available, enabling enhanced PDC assessment that can be utilized in routine clinical care. Objective To describe our approach to calculating PDC using linked EHR-pharmacy data and to compare to PDC calculated using pharmacy...