David Rew
0000-0002-4518-2667
University of Southampton
177 papers found
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New life for old cellular pathology records
The challenges of machine translation of academic publications
EP.FRI.745 Information Sustainability: SCR+: A bespoke module to optimise information flows around the Somerset Cancer Register to enhance the multidisciplinary cancer team process
SP8.1.4 Design features of the EPR-integrated Southampton Breast Cancer Data System (SBCDS), with timeline structured whole-of-life records on 20,000 sequential cases since the 1970s
TP8.1.7 The utility of a timeline and episode structured breast cancer data system to study outcomes following neoadjuvant chemotherapy for cases stratified by HER2 status
SP10.2.12 Information Sustainability: The revitalisation and upcycling of 373,342 historic surgical pathology records into the contemporary electronic patient record in one UK NHS Hospital Trust
New life for old cellular pathology: a transformational approach to the upcycling of historic e-pathology records for contemporary clinical uses
The development of high impact national and regional journals in medicine and the health sciences
Blood, heat and + dust
A proposal for the modernisation of the Undergraduate Curriculum to enhance the digital medical workforce
A surgeon among engineers
A Pan-University Role for the WSI Academic Advisory Board in Digital Education
Design and implementation of the stacked, synchronised and iconographic timeline-structured electronic patient record in a UK NHS Global Digital Exemplar hospital
Outcomes of surgery for benign and malignant adrenal disease from the British Association of Endocrine and Thyroid Surgeons' national registry
The visual transformation of healthcare information systems
The strategic significance of the population pyramid
Innovation South Science and Innovation Audit Response to a Call for Evidence by 28th February 2017
Modelling of Cancer Patient Records: A Structured Approach to Data Mining and Visual Analytics
Timeline and episode-structured clinical data: Pre-processing for Data Mining and analytics
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