The USM Scribe Project is a research study exploring the use of a medical AI scribe to support clinical documentation in both primary care and secondary care settings. The project examines how AI-powered transcription and note-generation tools may assist healthcare professionals by reducing documentation burden, improving workflow efficiency, and supporting more complete and timely clinical records.
Clinical documentation is a critical part of patient care, but it can also be time-consuming and contribute to workload pressure for healthcare providers. This study aims to evaluate whether a medical AI scribe can help streamline the documentation process while maintaining accuracy, usability, and clinical relevance. By observing its use across different care settings, the project seeks to better understand how the technology performs in real-world practice and how it may fit into existing healthcare workflows.
The study also considers broader issues related to the adoption of AI in healthcare, including data quality, patient safety, clinician experience, confidentiality, and implementation challenges. Through this work, the project aims to generate evidence on the potential benefits and limitations of medical AI scribes, and to inform future decisions on their safe and effective use in clinical environments.
Ultimately, the USM Scribe Project is intended to contribute to ongoing efforts to improve healthcare delivery through responsible innovation. By studying the role of AI-assisted documentation in primary and secondary care, the project supports the development of practical, evidence-based approaches to enhancing efficiency while keeping patient care at the centre.