Results 11 to 20 of about 1,649,332 (388)
A Multifaceted benchmarking of synthetic electronic health record generation models [PDF]
Nature Communications, 2022 Synthetic health data have the potential to mitigate privacy concerns in supporting biomedical research and healthcare applications. Modern approaches for data generation continue to evolve and demonstrate remarkable potential.
Chao Yan +7 more
semanticscholar +1 more source
MIMIC-IV, a freely accessible electronic health record dataset
Scientific Data, 2023 Digital data collection during routine clinical practice is now ubiquitous within hospitals. The data contains valuable information on the care of patients and their response to treatments, offering exciting opportunities for research.
Alistair E. W. Johnson +11 more
semanticscholar +1 more source
Burnout Related to Electronic Health Record Use in Primary Care
Journal of Primary Care & Community Health, 2023 Physician burnout has been increasing in the United States, especially in primary care, and the use of Electronic Health Records (EHRs) is a prominent contributor.
Jeffrey Budd
semanticscholar +1 more source
Negative Patient Descriptors: Documenting Racial Bias In The Electronic Health Record
Health Affairs, 2022 Little is known about how racism and bias may be communicated in the medical record. This study used machine learning to analyze electronic health records (EHRs) from an urban academic medical center and to investigate whether providers’ use of negative ...
Michael Sun +3 more
semanticscholar +1 more source
Examination of Stigmatizing Language in the Electronic Health Record
JAMA Network Open, 2022 This cross-sectional study analyzes the prevalence of stigmatizing language in the electronic health records at a large academic medical center.
Gracie Himmelstein, D. Bates, Li Zhou
semanticscholar +1 more source
Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial
British medical journal, 2021 Objective To determine whether electronic health record alerts for acute kidney injury would improve patient outcomes of mortality, dialysis, and progression of acute kidney injury.
F. Wilson +20 more
semanticscholar +1 more source
IEEE journal of biomedical and health informatics, 2021 Advancements in machine learning algorithms have had a beneficial impact on representation learning, classification, and prediction models built using electronic health record (EHR) data. Effort has been put both on increasing models’ overall performance
Yiwen Meng +3 more
semanticscholar +1 more source
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis [PDF]
IEEE journal of biomedical and health informatics, 2017 The past decade has seen an explosion in the amount of digital information stored in electronic health records (EHRs). While primarily designed for archiving patient information and performing administrative healthcare tasks like billing, many ...
Benjamin Shickel +3 more
semanticscholar +1 more source
Using Phecodes for Research with the Electronic Health Record: From PheWAS to PheRS.
Annual Review of Biomedical Data Science, 2021 Electronic health records (EHRs) are a rich source of data for researchers, but extracting meaningful information out of this highly complex data source is challenging.
L. Bastarache
semanticscholar +1 more source
Impact of patient access to their electronic health record: systematic review
Informatics for Health and Social Care, 2021 Patient access to their own electronic health records (EHRs) is likely to become an integral part of healthcare systems worldwide. It has the potential to decrease the healthcare provision costs, improve access to healthcare data, self-care, quality of ...
A. Tapuria +5 more
semanticscholar +1 more source