From Theory to Reality: Identifying Complex Patients with AI
Information
Artificial intelligence and machine learning offer huge potential to support decision making and efficiency for NHS and healthcare services. Beyond that, it can also help improve patient safety and boost morale - making sure frontline NHS staff are able to devote more to making sure patients receive the treatment that they need, rather than spending time number crunching.
If you’re tasked with enhancing patient care, empowering the healthcare workforce with automation, or adopting new technologies, this case study session offers practical insights on implementing AI such as Gen AI and machine learning into a healthcare environment.
We’ll share how Hippo partnered with Mid Yorkshire NHS Teaching Trust to build a decision support tool designed to help frontline pharmacists prioritise patients, maximise their time and resources, and ultimately improve patient safety and outcomes. Attendees will learn about:
- How to embark on an AI project and take it from concept to deployment
- How AI powered tools can support clinicians and staff in delivering healthcare services across a myriad applications and problem spaces
- How AI tools can contribute to better health and wellbeing of staff, and improved equality of care for patients
- How to implement a responsible AI approach from the outset of an innovation project
- How to make the concepts within Gen AI and machine learning more accessible to stakeholders and build trust
You’ll leave with practical frameworks, considerations and lessons learned on how to enable, build, and deploy AI projects. Furthermore, you’ll find insights into building confidence across your teams, and approaches that enable your people, processes, technology and data to succeed.
