| EPSRC Reference: |
EP/C549511/1 |
| Title: |
Novel Approaches to Radiotherapy Planning and Scheduling in the NHS |
| Principal Investigator: |
Petrovic, Professor S |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
School of Computer Science |
| Organisation: |
University of Nottingham |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 November 2005 |
Ends: |
30 June 2010 |
Value (£): |
268,315
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Fundamentals of Computing |
| Mathematical Aspects of OR |
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Summary on Grant Application Form |
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The problem of efficient radiotherapy planning and resource management In oncology departments, In terms of both manpower and the availability of equipment, has been recognised as a key to their smooth running. The various activities, starting from patient referral through to the delivery of the appropriate treatment, form a complex system, for which generating a high quality planning and scheduling solution is a challenging real-world problem that significantly impacts on healthcare staff and patients.This ambitious research proposal concerns both the generation of possible radiotherapy treatments, for patients and the scheduling of resources. This is a joint research proposal between two research groups from the University of Nottingham and Coventry University with expertise from differing but complementary disciplines. Two large hospitals, Nottingham City Hospital and the UHCW NHS Trust in Coventry, which are both providing radiotherapy treatment to a large population throughout their respective regions, are acting as collaborators on the project. They will provide real-world data and expertise in the domain of radiotherapy treatment. The proposed research requires a multidisciplinary effort, aiming at combining different operational research and artificial intelligence disciplines within a complex real-world medical environment.A successful outcome to the proposed research would significantly improve the efficiency and the quality of radiotherapy treatment in the UK. It could lead to a reduction of waiting time and waiting lists for treatments, a reduction of stress levels in patients and improved consistency in terms of dose delivery. Most Important of all, it has a definite potential to increase the survival rate of cancer patients
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.nottingham.ac.uk |