Martyna Chabalowska is a Research Assistant in Health Economics and Health Technology Assessment (HEHTA) at the University of Glasgow. Her work combines quantitative health economic methods with qualitative research to examine how evidence can better support healthcare policy, technology assessment, and real-world decision-making. Her current research includes methodological work on extensions to cost-utility analysis (CUA), the evaluation of digital and AI-enabled health technologies, and research examining how evidence is interpreted and used in technology adoption decisions across NHS Scotland. She has also contributed to work evaluating the NICE Early Value Assessment process, work related to the Scottish Medicines Consortium, health economic model reconstruction, adaptation and validation, and the development of analytical tools in R and Shiny.

Martyna holds an MSc in Precision Medicine and Pharmacological Innovation and a BSc in Immunology from the University of Glasgow. Her interdisciplinary background in life sciences, precision medicine, and bioinformatics informs her interest in evaluating innovative technologies across their pathway from evidence generation to implementation in healthcare.

Martyna’s research interests focus on life sciences, health economics, health technology assessment (HTA), and healthcare decision-making, with a particular emphasis on the evaluation and implementation of AI-enabled medical technologies. Her multidisciplinary background in Immunology and Precision Medicine provides a strong biomedical foundation for her work, complemented by experience in data analysis, clinical prediction, companion diagnostics, medical devices, and the application of AI and machine learning within precision medicine.

She is particularly interested in how emerging technologies; including AI-based decision-support tools, digital health technologies, wearable devices, and data-driven diagnostic technologies, move from technical development and clinical evaluation into routine healthcare practice. Her work considers not only clinical effectiveness but also how economic evidence, workflow fit, interoperability, governance, workforce capacity, procurement, and organisational context influence whether technologies are successfully adopted, scaled, and sustained. This builds on earlier work examining wearable technologies for cardiovascular health monitoring, including their effectiveness, accuracy, patient adherence, and feasibility, and extends into her current research on the real-world adoption of AI-enabled health technologies within NHS Scotland.

A complementary strand of Martyna’s research focuses on methodological developments in economic evaluation. She is interested in approaches that extend conventional cost-utility analysis (CUA) to better reflect patient and societal values, including patient preferences, risk attitudes, disease severity, equity, and uncertainty. Her methodological interests include GRACE, DCEA, and value of information analysis.

Her wider research interests include health inequalities and distributional analysis, digital health, and sustainable and planetary health approaches to HTA. Across these areas, she is particularly interested in research that connects the biological and technological potential of healthcare innovation with questions of clinical usefulness, patient and societal value, cost-effectiveness, implementation, and sustainable adoption within health systems.

Martyna contributes teaching to the MSc in Health Economics and Health Technology Assessment, providing learning materials for selected weeks on the Health Economics for HTA and Early HTA with Decision-Analytic Modelling courses. She also delivers a guest lecture on health economics for the MSc in Precision Medicine and Pharmacological Innovation.