Experience With an Optical Character Recognition Search Application for Review of Outside Medical Records

Electronic health records (EHRs) have been widely adopted in medical practice, yet clinicians often struggle to find important clinical information, owing to factors such as “note bloat”1. Outside medical records (OMRs) are often cluttered and redundant, and lack document metadata, exacerbating challenges with patient data review2. Poor EHR usability, which includes difficulty finding relevant information, correlates with clinician burnout3.

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Publication Details

Journal
Mayo Clinic Proceedings Digital Health
Published
2024-08-10
DOI
https://doi.org/10.1016/j.mcpdig.2024.08.001
Citations
2
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
1.42
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article

Experience With an Optical Character Recognition Search Application for Review of Outside Medical Records

Tanner S Hunt, Alexander J. Ryu, M. S. Rice, Kevin J. Peterson et al.
2 citations
Mayo Clinic Proceedings Digital Health
Electronic Health Records Systems
1.42
article

Experience With an Optical Character Recognition Search Application for Review of Outside Medical Records

Tanner S Hunt, Alexander J. Ryu, M. S. Rice, Kevin J. Peterson, Jose K. James, Shivam Damani, William J. Hogan, Tharana Maran
article en
2 citations

Abstract

Electronic health records (EHRs) have been widely adopted in medical practice, yet clinicians often struggle to find important clinical information, owing to factors such as “note bloat”1. Outside medical records (OMRs) are often cluttered and redundant, and lack document metadata, exacerbating challenges with patient data review2. Poor EHR usability, which includes difficulty finding relevant information, correlates with clinician burnout3.

Mayo Clinic Proceedings Digital HealthVol. 2(4)
Mayo Clinic (US), WinnMed (US), Mayo Clinic in Arizona (US)
Openalex Percentile: Top 14%
Electronic Health Records Systems
1.42
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