When major incidents occur, the collaborative efforts between fire, police, and ambulance services are seamless. However, there is significant potential to enhance this collaboration in day-to-day operations, thereby improving service delivery to our communities. The push for deeper and stronger collaboration between emergency services has been recognised as a critical next step. Studies have shown that improvements in service efficiency, quality, and cohesion can be driven through stronger collaboration, such as co-responding and co-location among blue-light services. Efficient data-sharing across services ensures that first responders are better equipped to handle incidents and provide superior service to citizens. We ask the panel about strategies to achieve these goals and discuss the benefits of a more integrated approach.
We ask the panel the following:
1. People aspect – How are you approaching skills and new technology change management, everything from engagement online, bringing people online, embedding tools, avoid making assumptions, maintenance of old applications and legacy tech?
2. How can we leverage user access and experience to enhance day-to-day collaboration between fire, police, and ambulance services, and what specific tools or platforms have proven most effective?
3. What are the key technological, operational and regional challenges that emergency services face in achieving seamless data-sharing, and how can these be overcome?
4. In what ways can co-responding and co-location of blue-light services be supported by technology to improve service efficiency, quality, and cohesion?
5. How can advancements in AI and real-time data analytics improve the ability of first responders to handle incidents and provide superior service to citizens?
6. How do we use technology better to train responder agencies?
7. Dave – Jessop isn’t just for emergency services, how do we ensure inclusivity to incidents? Testing and exercising – how we enable tech to provide opportunities for people to access training testing and exercising within the workplace
8. How does AI intuitively test and exercise people – access to intuitive tech training
9. What are the learning outcomes?