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Neurologists' Expectations of AI in Clinical Practice: A Study on Task Prioritisation and Patient-Centred
Tuuli Turja1, Hanna Kuusisto2,3, Virpi Jylhä2
1University of Tampere.
Studies in Health Technology and Informatics
|May 23, 2026
Summary
Artificial intelligence (AI) is transforming patient care, especially for chronic diseases. Neurologists prefer AI for administrative tasks, while patient-centered views align with AI for treatment monitoring and resource optimization.
Area of Science:
- Digital Health
- Medical Informatics
- Neurology
Background:
- Artificial intelligence (AI) is integral to digital health transformation, enhancing patient-centered care and value-driven healthcare.
- Chronic disease management requires long-term care continuity and individualized approaches, areas where AI shows significant potential.
Purpose of the Study:
- To identify neurologists' prioritized tasks for AI assistance.
- To determine if patient-centered views correlate with neurologists' AI expectations.
Main Methods:
- Pilot survey data from 30 Finnish neurologists.
- Bayesian regression analysis suitable for small sample sizes.
Main Results:
- AI is more readily accepted for administrative and routine monitoring tasks compared to direct clinical decision-making.
- Neurologists with patient-centered views expressed high expectations for AI in treatment plan monitoring and resource optimization.
Conclusions:
- AI adoption in neurology is likely to focus initially on non-clinical tasks.
- AI can potentially automate tasks, allowing clinicians to dedicate more time to direct patient care and complex decision-making.
