A Model Future: Simulation Solutions and Staff Welfare in Emergency Medical Services Passed
Tuesday May 14, 2024 14:00 - 14:30 F2
Presenters: Hugh Bennett, Tef Jansma
Track: Emerging technologies
Emergency services around the world are operating on increasingly tight budgets and with insufficient resources. At the same time, they are being asked to maintain or improve service standards. While these pressures affect the overall quality of service provision, they also have a very real and personal impact on frontline workers.
Today, staff welfare is a defining issue in the emergency service sector. From employee performance and team morale to talent attraction and retention, staff welfare has a profound effect on emergency services' abilities to meet targets, deliver appropriate levels of care and implement long-term strategies. Poor staff morale and high employee turnover are disruptive, expensive and result in sub-optimal service provision.
Consequently, more emergency service organisations are looking to advanced simulation solutions and data-driven optimisation techniques to better balance operational performance and employee well-being. One such organisation is the UK-based Welsh Ambulance Services NHS Trust (WAST).
Delivered with input from Hugh Bennett, the Assistant Director of Commissioning and Performance at WAST, and Tef Jansma, Omda’s Lead Modeller and Analyst for WAST, this presentation will explore the ways WAST leverages simulation software and advanced analytics to model operational scenarios and optimise staff well-being.
From modelling various meal break variables, including break duration, location and interruption rules, to simulating end-of-shift practices and policies, the presentation examines how WAST responds to employee needs while balancing operational imperatives, such as response time. Drawing on real-world experience, the presentation will detail how data-driven modelling software and professional services enables WAST to implement effective changes that prioritise employee welfare, respect operational targets and empower the organisation to do more with less.
Topic
Artificial Intelligence and Machine Learning
Seminar type
Pre-recorded + On-site
Lecture type
Presentation
Objective of lecture
Inspiration
Level of knowledge
Introductory
Target audience
Management/decision makers
Purchasers/acquisitions/eco nomy/HR
Technicians/IT/Developers
Researchers
Students
Healthcare professionals
Keyword
Actual examples (good/bad)
Benefits/effects
Municipality
Innovation/research
Patient safety
Usability
Conference
Vitalis
Authors
Hugh Bennett
Tef Jansma
Lecturers
Hugh Bennett Presenter
Assistant Director Commissioning & Performance
Welsh Ambulance Service Trust
Currently working at the Welsh Ambulance Service Trust since 2015, Hugh has a rich background in various Director and Business Development roles at local governments and charities, turning around struggling organisations and securing additional funding. He has a background in History and Politics at the University of Warwick. He is a trained systems thinker and a qualified accountant and programme manager. Finally, he has a strong background in internal/external communications, strategic partnership working, policy development and corporate strategy.
Tef Jansma Presenter
Senior Solutions Architect
Omda AS
Senior Solutions Architect
Omda Emergency
Tef's background is in Industrial Engineering and Management at the University of Groningen, Netherlands. This is where he was first exposed to simulation modelling, where he also used it as a method to perform research on how to improve out-of-hospital cardiac arrest survival rates. He is a seasoned expert in advanced simulation modelling, consulting, and analysis, and has been collaborating with ambulance and fire services across the world since 2016. Tef has a proven track record of delivering powerful data-driven insights to these services, thereby helping them improve operational performance and staff welfare.