A5072860043- Medical Image Segmentation Techniques
- Medical Imaging and Analysis
- Robotics and Sensor-Based Localization
- Organizational Leadership and Management Strategies
- Customer Service Quality and Loyalty
- Educational Assessment and Improvement
- Patient Satisfaction in Healthcare
- Clinical practice guidelines implementation
- Primary Care and Health Outcomes
- Business Strategy and Innovation
- Innovation and Knowledge Management
- 3D Shape Modeling and Analysis
- Advanced Neural Network Applications
- Global Health Workforce Issues
- Health Systems, Economic Evaluations, Quality of Life
- Evaluation and Performance Assessment
- Healthcare Policy and Management
- Aortic aneurysm repair treatments
Cardiff and Vale University Health Board
2018-2025
Swansea University
2015-2019
Patients are experts in their own health and should be treated as equal partners care. Patient-reported outcome measures (PROMs) an effective way of gathering patient feedback can facilitate effectiveness cost-effectiveness analysis to improve decision making service improvement. The PROMs, PREMs & Effectiveness Programme was initiated 2016 aimed develop electronic platform collection PROMs experience (PREMs) from secondary care patients across Wales.
The patient-reported outcome measures (PROMs), experience measure (PREMs) and Effectiveness Programme (PPEP) launched with the aim of supporting all National Health Service Wales (NHS Wales) organisations to collect PROMs PREMs across a range conditions. is generic condition-specific electronically from every secondary care patient in provide that can be used determine clinical cost-effectiveness treatments services. This study reports on PPEP developing an electronic platform suitable for...
The integration of Patient Reported Outcome Measures (PROMs) visualisations into Electronic Health Records (EHRs) offers a transformative approach to palliative care by providing both clinicians and patients with comprehensive, at-a-glance, longitudinal view patient health. This poster presents the development implementation patient-level for Palliative Care PROMs be embedded within NHS Wales's EHR, enhance clinical decision-making support provision shared decision making. Our project...
Fully automated 3D segmentation is not only challenging due to, for instance, ambiguities in appearance, but it also computationally demanding.We present a fullyautomatic, learning-based deformable modelling method segmenting the aortic root CT images using two-stage mesh deformation: non-iterative boundary with statistical shape model constraint, followed by an iterative refinement process.At both stages, we introduce B-spline regularisation technique to avoid entanglement during...
A statistical shape model that accurately generalizes a family of 3D shapes requires establishing correspondences across the set shapes. However in anatomical meshes, finding sufficient number landmarks to describe can be challenge, and often only few points are easily identifiable due smooth nature object surface. Using sparse landmarks, this paper finds dense vertex aortic root meshes. This is achieved by non-rigidly transforming source mesh target mesh. Then, for every on target,...