Hear from three best practice clinical case studies using AI, data and Analytics in real time including how to develop AI-enabled surgical pathways to address the elective care backlog. Discover the latest results a year on from Wessex Imaging Network looking at imagine sharing, AI implementation and network culture. Learn how practices are using APEX, a suite of business intelligence tool at scale, to tailor care plans and streamline GP appointments to reduce daily consultations, improving GP retention rates and workload management.
Supported by:
Alwyn Kotze
consultant and anaesthetist, Leeds Teaching Hospitals and clinical associate, Aire Logic Ltd
Jane Hayward
pathology and imaging lead, Wessex Imaging Network and Southern Counties Pathology Network
Jane Hayward is the Director of the Wessex Pathology and Imaging Networks. She has 35 years’ experience in the NHS and was been a University Hospital Board Director for 15 years. A keen enthusiast for digital transformation and am leading several digital programmes across Hampshire, Dorset and the Isle of Wight. This includes solutions for image sharing and reporting across Trusts and different PACs/RIS systems, a single instance of LIMs across 7 Trusts and the implementation of digital pathology solutions.
Dr Ruth Williamson
chief medical officer, Hampshire Hospitals, NHS FT
Ruth is a Clinical Radiologist and acting CMO as well as being a visiting professor at Bournemouth University where she chairs the university partnership.
She is a board member of Wessex AHSN. She is committed to partnership working and is a clinical lead for the Wessex Imaging Network and for the Community Diagnostics Centres programme in Dorset bringing diagnostics closer to people’s homes and tackling inequalities in healthcare.
Ben Hampshire
business development director, EMIS
Dr Pahini Pandya
CEO and founder, Panakeia Technologies
Dr Pahini Pandya is the CEO and Founder of Panakeia Technologies, which enables rapid multi-omics profiling in minutes directly from routinely used tissue images, using AI and without the need for wet-lab assays. Trained as a cancer researcher Dr. Pahini Pandya spent the last decade furthering translational research in the field.
She pursued a PhD in cancer biophysics at King’s College London, a postdoc at the University of Cambridge and has several publications in top journals. Educated at the Stanford and Cambridge business schools, Pahini has also held several leadership positions across entrepreneurial organisations and helped numerous start-ups commercialise research. She has been recognised as Global Shaper by the World Economic Forum, and received multiple awards for entrepreneurship.
March 12 @ 15:15
15:15 — 16:00 (45′)