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Cited by 72Electronic Health Records SystemsArtificial Intelligence in Healthcare and EducationNursing Diagnosis and Documentation

Transforming Health Care With Artificial Intelligence: Redefining Medical Documentation

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Bongurala, Archana Reddy, Save, Dhaval, Virmani, Ankit, Kashyap, Rahul·2024·Mayo Clinic Proceedings: Digital Health
DOI 10.1016/j.mcpdig.2024.05.006PMC PMC11975979
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Abstract

The growing burden of medical documentation, particularly with the widespread adoption of electronic health records (EHRs), has contributed to physician burnout and decreased job satisfaction.1 The intricate structure of medical notes, combined with the time-consuming data entry process,2 and physicians’ often limited typing proficiency, has considerably impeded their ability to prioritize patient care.3 The recent rise of artificial intelligence (AI) in health care offers a promising solution to alleviate the burden of documentation and optimize clinical workflows.

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Cited by

Sorted by citations

Authors
Bongurala, A. R., Save, D., Virmani, A., & Kashyap, R.
Affiliations
WellSpan Health (US)
Corresponding author
Bongurala, Archana Reddy
ORCID
Venue
Mayo Clinic Proceedings: Digital Health
Publisher
Elsevier BV
Published
2024-09
Volume
2
Issue
3
Pages
342-347
ISSN
2949-7612 (ISSN-L)
DOI
10.1016/j.mcpdig.2024.05.006
PMC
PMC11975979
OpenAlex
W4398201186
Cited by
72
References
7
Citations by year
2026: 41 · 2025: 24 · 2024: 7
FWCI
4.82
Type
journal article
Language
en
Open access
Licence
Locations
  • Mayo Clinic Proceedings Digital Health (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Nursing › Issues, ethics and legal aspects › Nursing Diagnosis and Documentation
Keywords
artificial intelligence in healthcare, clinical documentation, electronic health records, physician burnout, clinical workflow optimization, clinical note generation, physician satisfaction

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