Angela Coulter
Papers
2
Total Citations
67
H-Index
2
About
Angela Coulter is a leading researcher at the intersection of primary care, health services, and technological innovation. Her work focuses on understanding how automation and artificial intelligence can transform administrative workflows in general practice, aiming to improve efficiency and free up clinician time for patient care. She is best known for pioneering mixed-methods research that combines ethnographic observation, qualitative interviews, and expert surveys to assess the real-world potential for automating non-clinical tasks. Her most-cited paper, a 2020 study on the potential for automating administrative tasks in general practice (48 citations), provides a rigorous, evidence-based framework for identifying which routine duties—such as data entry, appointment scheduling, and referral processing—are most amenable to technological solutions. This work, along with her 2018 protocol for measuring automation potential in the NHS (19 citations), has shaped policy discussions on the future of primary care workforce planning. Coulter’s contributions are notable for bridging the gap between speculative debates about AI and grounded, actionable insights for healthcare systems. Her research is essential reading for students and practitioners interested in the practical implementation of digital health technologies.
Research Focus
Key Achievements
Top Papers
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