| 17 Benyamin Deldar Doctor and Co-Founder of Deep Medical Dr Benyamin Deldar is cofounder of Deep Medical, a machine learning company looking at understanding predicting behaviours around healthcare engagement. Deep Medical has developed algorithms predicting non-attendances to different healthcare appointments at 92% AUC. Since forming their business in March 2021, Ben and his co-founder have secured pilots across a population of five million patients in the UK with aims of increasing outpatient utilisation by 10% and hence reducing the national backlog. Alongside the operational solutions, Deep Medical is also invested in understanding the clinical implications of non-attendance. Deep Medical has partnered with NHS Health Inequalities and Anglia Ruskin University to understand and develop targeted messaging platforms to encourage individuals up the scale of engagement on their patient journey. www.deep-medical.ai Email: [email protected] Twitter: @deldarbenyamin LinkedIn: /benyamin-deldar-951ab3153 Gary Hawkins Nurse and Founder of National Electronic Bed Search Gary is a Learning Disability Nurse with 35 years front line clinical experience covering: adults & children, inpatient, residential, forensic, sex offender and crisis management. Gary is a qualified Clinical Safety Officer and until recently was a Clinical Transformation Lead (MH and LD) in a large NHS Trust. Gary is a qualified Clinical Safety officer, clinical mentor/assessor and a certified Suzy Lamplight lone worker Trainer and was until recently a physical interventions instructor, with over 20 years of teaching experience with the aim of reducing or eradicating restrictive interventions in services. In January 2021 Gary was fortunate to be accepted on the Clinical Entrepreneur Programme where he is developing the innovative and disruptive National Electronic Bed search platform (NEBS) that has the tools to find the RIGHT placement as close to home and family as possible, quickly and effectively. Commissioners in health and social care do not currently have a simple yet robust system to search for live available beds. A system that matches the specific needs of the person to the placement. Many use Google and word of mouth to find placements and this is an exceptionally time consuming and costly process. Many people, especially those with neurodevelopmental disorders, require highly specialist services, specific environments and specialised staff. NEBS will be used by MH and LD health, social care commissioners to quickly identify specialist beds. www.nebs.systems Email: [email protected] Twitter: @NEBSSYS LinkedIn:gary-hawkins-nebs
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