Results 21 to 30 of about 1,649,332 (388)

Administrative Coding in Electronic Health Care Record‐Based Research of NAFLD: An Expert Panel Consensus Statement

Hepatology, 2021
Electronic health record (EHR)‐based research allows the capture of large amounts of data, which is necessary in NAFLD, where the risk of clinical liver outcomes is generally low.
H. Hagström, L. Adams, A. Allen, C. Byrne, Yoosoo Chang, H. Grønbæk, M. Ismail, P. Jepsen, F. Kanwal, J. Kramer, J. Lazarus, M. Long, R. Loomba, P. Newsome, I. Rowe, S. Ryu, J. Schattenberg, M. Serper, N. Sheron, Tracey G. Simon, E. Tapper, S. Wild, V. Wong, Y. Yılmaz, S. Zelber-Sagi, F. Åberg   +25 more
semanticscholar   +1 more source

Trends in Electronic Health Record Inbox Messaging During the COVID-19 Pandemic in an Ambulatory Practice Network in New England

JAMA Network Open, 2021
This cross-sectional study compares patient electronic health record (EHR) inbox message volume in an ambulatory practice network in New England during the COVID-19 pandemic with prepandemic levels.
Bidisha Nath, B. Williams, M. Jeffery, Ryan T. O'Connell, Richard Goldstein, C. Sinsky, E. Melnick   +6 more
semanticscholar   +1 more source

A narrative review on the validity of electronic health record-based research in epidemiology

BMC Medical Research Methodology, 2021
Electronic health records (EHRs) are widely used in epidemiological research, but the validity of the results is dependent upon the assumptions made about the healthcare system, the patient, and the provider.
M. Gianfrancesco, N. Goldstein
semanticscholar   +1 more source

Imputation of missing values for electronic health record laboratory data

npj Digital Medicine, 2021
Laboratory data from Electronic Health Records (EHR) are often used in prediction models where estimation bias and model performance from missingness can be mitigated using imputation methods.
Jiang Li, Xiaowei Yan, D. Chaudhary, V. Avula, Satish Mudiganti, Hannah M Husby, S. Shahjouei, Ardavan Afshar, W. Stewart, M. Yeasin, R. Zand, V. Abedi   +11 more
semanticscholar   +1 more source

Personal electronic health records: from biomedical research to people's health

Journal of Innovation in Health Informatics, 2009
Access to web technologies and the increased bandwidth and capacity of these systems has facilitated the development of personal electronic health records (PEHRs).
Jean Roberts
doaj   +1 more source

Workarounds in Electronic Health Record Systems and the Revised Sociotechnical Electronic Health Record Workaround Analysis Framework: Scoping Review

Journal of Medical Internet Research, 2022
BackgroundElectronic health record (EHR) system users devise workarounds to cope with mismatches between workflows designed in the EHR and preferred workflows in practice.
Vincent Blijleven, Florian Hoxha, Monique Jaspers   +2 more
doaj   +1 more source

Electronic health records and burnout: Time spent on the electronic health record after hours and message volume associated with exhaustion but not with cynicism among primary care clinicians

J. Am. Medical Informatics Assoc., 2020
OBJECTIVES The study sought to determine whether objective measures of electronic health record (EHR) use-related to time, volume of work, and proficiency-are associated with either or both components of clinician burnout: exhaustion and cynicism ...
Julia Adler-Milstein, Wendi Zhao, Rachel Willard‐Grace, Margae J. Knox, K. Grumbach   +4 more
semanticscholar   +1 more source

Secondary Use of Electronic Health Record: Opportunities and Challenges [PDF]

IEEE Access, 2020
In the present technological era, healthcare providers generate huge amounts of clinical data on a daily basis. Generated clinical data is stored digitally in the form of Electronic Health Record (EHR) as a central data repository of hospitals.
S. M. Shah, Rizwan Ahmed Khan
semanticscholar   +1 more source

Willingness to use electronic medical record (EMR) system and its associated factors among health professionals working in Amhara region Private Hospitals 2021, Ethiopia.

PLoS ONE, 2023
IntroductionDespite the high expectations of electronic medical records as a great prospect for improving performance in healthcare, the level of adoption and utilization, particularly in a developing country, is low.
Andualem Fentahun Senishaw, Biniyam Chakilu Tilahun, Araya Mesfin Nigatu, Shegaw Anagaw Mengiste, Karen Standal   +4 more
doaj   +1 more source

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data

JAMA Internal Medicine, 2018
A promise of machine learning in health care is the avoidance of biases in diagnosis and treatment; a computer algorithm could objectively synthesize and interpret the data in the medical record.
M. Gianfrancesco, Suzanne Tamang, J. Yazdany, G. Schmajuk   +3 more
semanticscholar   +1 more source