Session type:
Case Study

Session duration:
45 minutes

Presented by:

Tim Caynes


Jane Vance


About this Case Study

This session will explore the architecture and design of intelligent systems to enable patients to get the help they need, often before they know they need it, with care and compassion, and in potentially difficult times.

How do we bring systems and humans together for better outcomes? How can artificial intelligence help us improve the patient experience?

Looking at the architecture and design of learning systems and how AI can use behavioural analysis to infer better outcomes, the session will look at a practical application of a learning system in healthcare, which has recently been released as part of a platform to support carers for people in later life.

Based on research into critical phases of long-term care and the information and support needed in those phases, the product uses machine learning and artificial intelligence to understand and respond to behavioural paths through the system, to render unique experiences for carers to support them through their carer journey.

About the Speakers

Tim Caynes

Tim is a principal designer at Foolproof, meaning that he's responsible for the integrity of the thinking behind Foolproof's experience design practice. Tim works closely with design, strategy and insight teams, and with business stakeholders and third parties, to create evidence-based designs for global brands such as Apple, Coke, XL Catlin, Sky, HSBC and Shell. As principal designer, he is focused on understanding user needs and behaviours, contexts of use, and interactions with information systems, to do smart things for good people.


Jane Vance

Jane has led the creation of digital product and service solutions for a large range of brands across different sectors including Simply Health, Petplan, Intercontinental Hotel Group, Lloyds Banking Group and Suzuki.

As a principal designer at Foolproof, she’s responsible for the creative output of user experience design projects. She’s interested in using insight to solve problems through defining information architecture and designing services that best support people.

Before working at Foolproof, she was part of the retail digital marketing team at Apple after gaining her MA in digital arts.


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