Computer interpretable clinical guidelines for multimorbidity
Research Group Activity
The Institute of Digital Healthcare aims to enhance the quality, safety, accessibility and productivity of healthcare by supporting the implementation of digital solutions for the public, patients and professionals, underpinned by rigorous, multi-disciplinary research, development and evaluation. IDH brings strength in the areas of technological solutions of connectivity within and across domains, building databases and applications, and developing training for end-users. Professor Arvanitis research spans the areas of biomedical engineering, neuroimaging and health informatics (clinical systems interoperability and clinical decision support systems), with a strong academic and industrial experience in software engineering for healthcare applications. As a Research Leader, Prof Arvanitis has developed a substantial digital health team that encompasses experience across multiple disciplines, which brings together a rich and long pedigree of knowledge, in interconnectivity, interoperability and deployment of innovative solutions. He has delivered solutions at multiple maturity levels (from lab-based innovation to product deployment), and has established collaboration with major actors in the healthcare industry, including trusts, healthcare IT and medical device companies, as well as patient forums and regulators.
Project Description
Clinical Practice Guidelines are seen as encapsulating the best available evidence regarding management of a condition, constituting a widely accepted standard. With recent advances in digital health, and in particular clinical decision support systems, there has been an impetus to model guidelines as computer interpretable guidelines (CIGs), which can be applied to multiple patients. A number of CIG approaches have been developed, each of which consisting of different concepts with which to model a guideline. This project will investigate models and an ontologically-based approach for the problem of combining multiple, concurrently implemented computer interpretable clinical guidelines (CIGs). The project will investigate the CIGs challenges and interrelations to manage multimorbidity care.
Required Skills
Good organisational and analytical skills are required. The intern should be comfortable with systematic review approach and potentially using the Protégé ontology editor and OWL. Experience with the specific technologies is desirable but not required if the candidate is comfortable learning the new tools and approach. There will be continuous guidance and input from the supervisor on the challenging research-specific aspects of the project.
Apply for this Project
If you wish to apply for this project, fill in the form below including uploading your CV and personal statement, explaining why you want to do this particular internship project. Attachments must be in PDF format.
