Session type:

Case Study

Presented by:

Anna Lay

Hippo Digital

Session time:

18 Sep 12:15 13:00

Session duration:

45 minutes

About the session

Artificial intelligence and machine learning offer huge potential to support decision-making and efficiency for NHS and healthcare services.

When deployed using a responsible and ethical framework, such technologies can empower clinicians to deliver real-world improvements in patient care. However, for many the concepts of AI and machine learning feel far from human - often seeming complex and inaccessible.

In this case study session, Anna will talk through an initiative using machine learning to support Mid Yorkshire NHS Teaching Trust frontline pharmacy services.

The talk will describe the journey of how Artificial Intelligence was harnessed to build a decision support tool designed to help pharmacists prioritise patients, increase capacity and ultimately improve patient safety and outcomes.

Participant takeaways:

  • How AI and Machine Learning powered tools can help drive efficiency in public services
  • How to implement a responsible AI approach from the outset of an innovation project
  • How to make the concepts within AI and Machine Learning more accessible to a wider audience and different stakeholders
  • An understanding of the sociotechnical considerations when embarking on an innovation project - with practical tips

Responsible AI, Machine learning, Patient care, Accessibility, Human-centred approaches, Sociotechnical, Data-driven

About the speaker(s)