Patrick Anyadi

Patrick Anyadi is passionate about the analysis and visualisation of health data.

An alumnus of the University of Manchester and Imperial College London, Patrick has outstanding experience in quality improvement projects and has helped publish research in journals including BMJ Health & Care Informatics.

Selected publications

Khanbhai M, Anyadi P, Symons J, et al. Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review. BMJ Health & Care Informatics 2021;28:e100262. doi: 10.1136/bmjhci-2020-100262. https://informatics.bmj.com/content/28/1/e100262
Crawford, A, Anyadi, P, Stephens, L, et al. A mixed-methods evaluation of continuous electronic fetal monitoring for an extended period. Acta Obstet Gynecol Scand. 2018; 97: 1515– 1523. https://doi.org/10.1111/aogs.13446

Our specialist services

Evidence generation

Understanding whether new care pathways and interventions are effective, efficient, and deliver value for money

Population health management

Using allocative efficiency techniques and population health analytics to improve value and deliver the best care possible

Advanced analytics

Using advanced techniques in machine learning, data science and casual inference to understand the biggest questions in health

Consultancy

Sharing our vast knowledge to develop NHS capability through training, research design advice and quality assurance