MIMIC-IV, a freely accessible electronic health record dataset

AEW Johnson, L Bulgarelli, L Shen, A Gayles… - Scientific data, 2023 - nature.com
Data content varies considerably across datasets, with each … , a contemporary electronic
health record dataset covering a … as the electronic medicine administration record. Third, MIMIC…

Association of electronic health record design and use factors with clinician stress and burnout

PJ Kroth, N Morioka-Douglas, S Veres… - JAMA network …, 2019 - jamanetwork.com
… 1 added another, mentioning that electronic health records affect the office environment as
well. … less likely to help one another in offices where electronic health records were employed. …

Electronic health records and burnout: time spent on the electronic health record after hours and message volume associated with exhaustion but not with cynicism …

J Adler-Milstein, W Zhao… - Journal of the …, 2020 - academic.oup.com
… Following widespread adoption of electronic health records (EHRs) … Finally, we used health
system administrative data from … We combined all sources of data and limited our sample to …

Cancer Registry Data linkage of electronic health record data from ASCO's CancerLinQ: evaluation of advantages, limitations, and lessons learned

ME Charlton, AR Kahl, BD McDowell… - JCO clinical cancer …, 2022 - ascopubs.org
… for research and quality assessment through a linkage between cancer registry data and
electronic health record (EHR) data refined by ASCO's health technology platform CancerLinQ. …

Assessment of a deep learning model based on electronic health record data to forecast clinical outcomes in patients with rheumatoid arthritis

B Norgeot, BS Glicksberg, L Trupin, D Lituiev… - JAMA network …, 2019 - jamanetwork.com
… Conclusions and Relevance The findings suggest that building accurate models to forecast
complex disease outcomes using electronic health record data is possible and these models …

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review

SN Payrovnaziri, Z Chen… - Journal of the …, 2020 - academic.oup.com
… to healthcare in the light of digitized health data. The wide adoption of electronic health record
(EHR) systems by healthcaredata have made the application of AIM more feasible. EHR …

Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review

TA Koleck, C Dreisbach, PE Bourne… - Journal of the American …, 2019 - academic.oup.com
… Natural language processing (NLP) of symptoms from electronic health records (EHRs)
could contribute to the advancement of symptom science. We aim to synthesize the literature on …

Validation of an electronic health record–based suicide risk prediction modeling approach across multiple health care systems

Y Barak-Corren, VM Castro, MK Nock… - JAMA network …, 2020 - jamanetwork.com
… care systems, a computationally efficient approach leveraging the full spectrum of structured
electronic health record data was able to detect the risk of suicidal behavior in unselected …

How an electronic health record became a real-world research resource: comparison between London's Whole Systems Integrated Care database and the Clinical …

A Bottle, C Cohen, A Lucas, K Saravanakumar… - BMC medical informatics …, 2020 - Springer
healthcare systems, medical records are held in database silos, and the need to share
information about how patients go through healthcare … for population-based data to inform the …

[HTML][HTML] Security and privacy of electronic health records: Concerns and challenges

I Keshta, A Odeh - Egyptian Informatics Journal, 2021 - Elsevier
… access the health records of patients so that to get some data and in the process, the health
care provider could abuse the health records access either accidentally or intentionally [17]. …