Results 31 to 40 of about 102,740 (301)

An EHR with Teeth [PDF]

Applied Clinical Informatics, 2016
Citation: Kalenderian E, Halamka JD, Spallek H. An EHR with teeth.
John D. Halamka, Heiko Spallek, Elsbeth Kalenderian   +2 more
openaire   +2 more sources

The pharmacist and the EHR [PDF]

Journal of the American Medical Informatics Association, 2016
The adoption of electronic health records (EHRs) across the United States has impacted the methods by which health care professionals care for their patients. It is not always recognized, however, that pharmacists also actively use advanced functionality within the EHR.
Scott D. Nelson, John Poikonen, Thomas J. Reese, David El Halta, Charlene R. Weir   +4 more
openaire   +3 more sources

Physician Opinions about EHR Use by EHR Experience and by Whether the Practice had optimized its EHR Use [PDF]

, 2016
Optimization and experience with using EHRs may improve physician experiences. Physician opinions about EHR-related impacts, and the extent to which these impacts differ by self-reported optimized EHR use and length of experience are examined through ...
Heisey-Grove, D, Jamoom, E W, Yang, N, Scanlon, Peter H   +3 more
core   +1 more source

Scoping Review of the Use of Electronic Health Record (EHR) Logs and Metadata to Study EHR Use

, 2022
Scoping Review of the Use of Electronic Health Record (EHR) Logs and Metadata to Study EHR ...
Adam Rule
core   +1 more source

From data to prediction: development and clinical validation of a preterm birth risk assessment tool based on machine learning technologies

Акушерство, гинекология и репродукция
Introduction. Preterm birth (PTB) remains one of the most serious complications of pregnancy, being the leading cause of neonatal mortality and contributing to long-term disability along with chronic morbidity in newborns, as well as imposing substantial
Yu. S. Boldina, A. A. Ivshin, K. S. Svetova   +2 more
doaj   +1 more source

EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes

, 2023
The adoption of electronic health records (EHRs) has created opportunities to analyse historical data for predicting clinical outcomes and improving patient care.
Nenad Macesic (816588), Yashpal Ramakrishnaiah (20092560), Sonika Tyagi (18039439), Geoffrey Webb (7912340), Anton Peleg (4334680)   +4 more
core  

Data extraction from a data warehouse at a German university hospital – data quality and current challenges

GMS Medizinische Informatik, Biometrie und Epidemiologie
Treatment of chronic wounds is a topic with high research potential, however, routine data are hardly standardized and cannot be accessed easily. The introduction of data integration centers within the Medical Informatics Initiative (MII) in Germany aims
Dorothee A. Busch, Mareike Przysucha, Jens Hüsers, Jonathan M. Mang, Cornelia Erfurt-Berge, Ursula Hübner   +5 more
doaj   +1 more source

Performance metric comparison of models built upon the trivial feature set and a single biomarker (Without EHR), and the EHR baseline feature set and a single biomarker (With EHR).

, 2023
Performance metric comparison of models built upon the trivial feature set and a single biomarker (Without EHR), and the EHR baseline feature set and a single biomarker (With EHR).
Nadav Rakocz (13770105), Eran Halperin (22303), Oren Avram (3115380), Akos Rudas (9406693), Jeffrey N. Chiang (9406696), Giulia Corradetti (9557967), Srinivas R. Sadda (9557976)   +6 more
core   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

What can we do about Dr. Google? Using the electronic medical record (EMR) to prescribe reliable online patient education

Journal of the Medical Library Association, 2019
Objective: The project enabled clinicians to utilize the electronic medical record (EMR) to easily prescribe preapproved online patient education resources to their patients. Background: Physicians and other clinicians are concerned about the wide use of
Ruti Volk, Nabeel Obeid
doaj   +1 more source