Available
Project number:
2025_102
Start date:
October 2025
Project themes:
Main supervisor:
Professor of Health Informatics
Co-supervisor:
Additional Information:
Temporal detection and analyses of interactions when combining multiple clinical guidelines, patient preferences and goals
Recent successful evaluation of the TMR-based clinical decision support system at a Serbian hospital opens the path to further improvement of the TMR model to combine and reason about multiple CPGs in clinical settings. In particular, we are interested in relevant aspects that would influence interactions, such as temporal aspects (since interactions occur in time), quantities (drug dosages and their formal definition in TMR) and goals (both medical goals as per CPG and patient/clinician-specific goals), as well as studying how the introduction of patient preferences affect the outcome of the CGs interactions detection theory.
The aim of this project is to determine how best to design decision support tools that apply both evidence-based knowledge from CPGs and artificial intelligence approaches towards providing guidance to users of health information systems (e.g., GPs) when regulating the complexities of managing multiple clinical conditions, preferences, and goals in heterogeneous EHR-based clinical workflows.
The project will apply state-of-the-art technologies to describe CPGs in a computer-interpretable format considering temporal and dosage constraints which occur as part of medical recommendations as well as implementing an AI methodology to calculate interactions in time between the distinct care pathways a patient must follow to manage the complexities of treating multiple clinical conditions. Additionally, contemporary methods to store and exchange information among health information systems (HISs) will be used to preserve semantic and structural integrity when facilitating decision support.
We have excellent networks with healthcare organisations, government agencies and professional bodies so that this project can work with current CG formalisation and HIS interoperability initiatives and be recognised at regional, national, and international levels.
We are now accepting applications for 1 October 2025
How to apply
Candidates should possess or be expected to achieve a 1st or upper 2nd class degree in a relevant subject including the biosciences, computer science, mathematics, statistics, data science, chemistry, physics, and be enthusiastic about combining their expertise with other disciplines in the field of healthcare.
Important information for International Students:
It is the responsibility of the student to apply for their Student Visa. Please note that the EPSRC DRIVE-Health studentship does not cover the visa application fees or the Immigration Health Surcharge (IHS) required for access to the National Health Service. The IHS is mandatory for anyone entering the UK on a Student Visa and is currently £776 per year for each year of study. Further detail can be found under the International Students tab below.
Next Steps
- Applications submitted by the closing date of Thursday 6 February 2025 will be considered by the CDT. We will contact shortlisted applicants with information about this part of the recruitment process.
- Candidates will be invited to attend an interview. Interviews are projected to take place in April 2025.
- Project selection will be through a panel interview chaired by either Professor Richard Dobson and Professor Vasa Curcin (CDT Directors) followed by informal discussion with prospective supervisors.
- If you have any questions related to the specific project you are applying for, please contact the main supervisor of the project directly.
For any other questions about the recruitment process, please email us at
