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The Current State of Digital Scribes in Primary Care: A Scoping Review
Rajesh Nair1, Muhammad Moinuddin Hashmi2, Sameer S Kassim2
1Health Information Science, University of Victoria, Victoria, BC, Canada. rajeshnair@uvic.ca.
Digital scribes using AI, automatic speech recognition, and natural language processing enhance primary care efficiency by reducing documentation time. However, challenges remain in integrating these technologies into diverse healthcare workflows.
Area of Science:
- Health Informatics
- Artificial Intelligence in Healthcare
- Primary Care Technology
Background:
- Digital scribe technology is emerging in primary care.
- Artificial intelligence (AI), automatic speech recognition (ASR), and natural language processing (NLP) are key components.
- Understanding their impact on clinical practice is crucial.
Purpose of the Study:
- To conduct a scoping review of digital scribe technology in primary care.
- To explore the role of ASR and NLP in digital scribe effectiveness, integration, and adoption.
- To identify current trends and challenges.
Main Methods:
- Scoping review following Joanna Briggs Institute (JBI) guidelines.
- Searches across PubMed, Web of Science, Scopus, and CINAHL.
- Inclusion of 29 studies from 2018-2024 across six countries.
Main Results:
- Digital scribes effectively reduce documentation time, improving workflow efficiency.
- Clinicians can dedicate more time to patient interaction.
- Significant integration challenges and adoption barriers exist, especially concerning diverse healthcare workflows.
Conclusions:
- Digital scribes show promise for enhancing documentation accuracy and reducing clinician burden in primary care.
- Further research is needed on real-world effectiveness in primary care settings.
- ASR and NLP are foundational to the potential of digital scribes.
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