Can foundation models wrangle your data?

A Narayan, I Chami, L Orr, S Arora, C Ré - arXiv preprint arXiv:2205.09911, 2022 - arxiv.org
Foundation Models (FMs) are models trained on large corpora of data that, at very large
scale, can generalize to new tasks without any task-specific finetuning. As these models …

Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures

A Rule, ER Melnick, NC Apathy - Journal of the American …, 2023 - academic.oup.com
Objective The aim of this article is to compare the aims, measures, methods, limitations, and
scope of studies that employ vendor-derived and investigator-derived measures of …

[HTML][HTML] Access control solutions in electronic health record systems: A systematic review

UN Cobrado, S Sharief, NG Regahal, E Zepka… - Informatics in Medicine …, 2024 - Elsevier
ABSTRACT Electronic Health Records (EHRs) are electronically-stored patient medical
histories shared among healthcare institutions. Recent studies show that EHRs experience …

Next-generation artificial intelligence for diagnosis: from predicting diagnostic labels to “wayfinding”

J Adler-Milstein, JH Chen, G Dhaliwal - Jama, 2021 - jamanetwork.com
Improvingthediagnosticprocessisaqualityan… priority. 1 With the digitization of health
records and rapid expansion of health data, the cognitive demand on the diagnostician has …

Differences in health professionals' engagement with electronic health records based on inpatient race and ethnicity

C Yan, X Zhang, Y Yang, K Kang, MC Were… - JAMA network …, 2023 - jamanetwork.com
Importance US health professionals devote a large amount of effort to engaging with
patients' electronic health records (EHRs) to deliver care. It is unknown whether patients with …

Relationships between EHR-based audit log data and physician burnout and clinical practice process measures

LN Dyrbye, J Gordon, J O'Horo, SM Belford… - Mayo Clinic …, 2023 - Elsevier
Objective To explore the relationship of electronic health record (EHR)–based audit log data
with physician burnout and clinical practice process measures. Methods From September 4 …

Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis

ER Melnick, SY Ong, A Fong, V Socrates… - Journal of the …, 2021 - academic.oup.com
Objective To derive 7 proposed core electronic health record (EHR) use metrics across 2
healthcare systems with different EHR vendor product installations and examine factors …

Path coherence and disruption in routine dynamics

I Kim, BT Pentland, KA Frank… - Organization Science, 2024 - pubsonline.informs.org
We use evidence from a disruption of clinical documentation routines to propose a novel,
predictive mechanism for routine dynamics based on path coherence. Path coherence refers …

Using electronic health record audit log data for research: insights from early efforts

T Kannampallil, J Adler-Milstein - Journal of the American …, 2023 - academic.oup.com
Electronic health record audit logs capture a time-sequenced record of clinician activities
while using the system. Audit log data therefore facilitate unobtrusive measurement at scale …

Analysis of electronic health record use and clinical productivity and their association with physician turnover

ER Melnick, A Fong, B Nath, B Williams… - JAMA Network …, 2021 - jamanetwork.com
Importance Physician turnover takes a heavy toll on patients, physicians, and health care
organizations. Survey research has established associations of electronic health record …