Assessing the Landscape of AI-Powered Patient Documentation in Dermatology

As the technology continues to evolve, AI-powered documentation products have the potential to become an integral part of medicine by enhancing the physician-patient relationship and the overall healthcare system. A thorough evaluation of these products in clinical settings is needed to assess their efficacy. Longitudinal studies should be conducted to determine their impact on physician well-being. Collaboration between stakeholders, including healthcare workers, researchers, developers, and regulatory agencies, is needed to establish guidelines for the integration and use of these products. J Drugs Dermatol. 2025;24(1):64-49. doi:10.36849/JDD.8583.

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Publication Details

Journal
Journal of Drugs in Dermatology
Published
2024-12-01
DOI
https://doi.org/10.36849/jdd.8583
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
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article

Assessing the Landscape of AI-Powered Patient Documentation in Dermatology

Jane Yoo, Sukruthi Thunga, Jacquelyn J. Roth
Journal of Drugs in Dermatology
Cutaneous Melanoma Detection and Management
article

Assessing the Landscape of AI-Powered Patient Documentation in Dermatology

Jane Yoo, Sukruthi Thunga, Jacquelyn J. Roth
article en

Abstract

As the technology continues to evolve, AI-powered documentation products have the potential to become an integral part of medicine by enhancing the physician-patient relationship and the overall healthcare system. A thorough evaluation of these products in clinical settings is needed to assess their efficacy. Longitudinal studies should be conducted to determine their impact on physician well-being. Collaboration between stakeholders, including healthcare workers, researchers, developers, and regulatory agencies, is needed to establish guidelines for the integration and use of these products. J Drugs Dermatol. 2025;24(1):64-49. doi:10.36849/JDD.8583.

Journal of Drugs in DermatologyVol. 24(1)
Openalex Percentile: Top 58%
Cutaneous Melanoma Detection and Management
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