معرفی
Martin Chapman is a Lecturer in Health Informatics at Population Health Sciences, focusing on healthcare technology, data-driven decision support systems, and phenotype library development. His work integrates computational methods with clinical practice to improve patient care and healthcare outcomes. He has contributed to projects involving stroke survivor self-management portals, phenotype standardization, and AI ethics in healthcare.
Research Interests:
- Health Informatics
- Patient-Centered Digital Tools
- Computable Phenotyping
- Healthcare Data Standards
- Non-repudiation in AI
Recent Research Trends: Recent work emphasizes phenotype library development (e.g., Health Data Research UK Phenotype Library), digital health portal design for stroke survivors, and ethical AI applications in healthcare. His publications often address cross-disciplinary challenges in integrating clinical data with computational methods.
Awards:
- Best Paper Award at ICHI 2024 for co-designing a user-centered digital portal for stroke survivors.
Grants & Projects (2022–2026):
- Developing AI solutions for pediatric health interventions (HDR UK)
- Phenomics and Prognostic Atlas (HDR UK)
- Improving stroke survivor outcomes using data-driven approaches (NIHR)
Labs/Teams: Collaborates with multidisciplinary teams including HDR UK, Stroke Association, and NHS-funded initiatives focusing on healthcare innovation and data-driven solutions.
