Speaker

Jeroen Raijmakers Philips Experience Design Director Design Innovation
Jeroen Raijmakers is sr. Director Design Innovation at Philips Experience Design where he leads a design research program for healthcare with presence in Europe (Eindhoven NL), USA (Cambridge MA), India (Bangalore) and China (Shanghai). With a global team of designers, Jeroen strives to deliver advanced solutions for healthcare professionals and patients whether in the hospital or at home in for example Diagnostic Imaging, Acute Care, Healthcare Informatics and Connected Care. Jeroen’s responsibilities include EU public-private partnerships and university relationships. Recently he started the EU funded program DCODE in collaboration with 6 European universities to research inclusive and sustainable digital futures for fundamentally new design competences and practices.
Many healthcare products and user interfaces designed under his direction have been recognized by prestigious design award organizations.
Jeroen graduated with honors from the Design faculty at Technical University Delft, where he now holds a Visiting Professor position since 2015 and is appointed member of the Educational Advisory Board.

User Experience Design for Artificial Intelligence based Healthcare Innovation

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Session S7

Meeting room Undetermined

Time 12/30 13:30-17:00

Type Speech

Language English

Direction

keynote content

Content Introduction

China is a large country and increasingly facing challenges from the shortage of healthcare resources and the growing demand of healthcare for its people. With the evolution of data technology, artificial intelligence is influencing all aspects of healthcare and aiming to improve efficiency and free up the burden of doctors. Inspired by the behavior of users and supported by evolving technologies, AI is dedicating to creating products and solutions that can perceive, reason and act accordingly, and adapt to complex or repetitive tasks. Healthcare needs human-centered AI that is driven not only by technical feasibility but more importantly by human needs. As designers, we have responsibilities and obligations to humanize unbiased design and AI.

The role of design includes:
1. Embed data and AI in design processes - demonstrate "co-creation"
2. Create experience with AI solutions
3. Promote fair and humanized AI design
4. Understand deeply user scenarios and mental models - demonstrate "empathy"

Demonstration of embedding technologies such as data and AI, and deeply understanding user scenarios and mental models will include experiences from our Philips Experience Design team in Shanghai, lead by Michelle Zhang.

This sharing session will cover a topic on challenges and practices of co-creating intelligent care in healthcare design in this digital era, and to explore thoughts of how to improve design capabilities as well as humanizing technology. Selected practices from Philips will also be shared, including:
1. Radiology Vision 2025
2. Oncology Data Visualization in China and Europe

As the only design team in the world to be rewarded twice“RED DOT Design Team of the Year”, Philips Experience Design, led by Sean Carney, is a century-old in-house design organization that has won as many as 182 international design awards in 2021 alone, and has been committed to meaningful innovation to improve lifes. In this sharing, we will combine the practice and thinking of Philips Experience Design in healthcare, thus to empower more designers to bridge the gap between technology and users with "human centered" design.

Participants Benefit

1、Learn how a world's leading design team deals with challenges and works out solutions
2、Understand the principles of UX for AI in healthcare and experience from related practices
3、Have a view on how to improve the value of experience design for enterprises and interdisciplinary cooperation methods

video introduction

Work Case

Philips sonicare
Philips Fresh Air Mask
Philips MR5300
Philips Design, a design agency with a history of 100 years, has always adhered to the thinking and practice
Human-centered AI can reduce the cost of learning
AI with human text can enhance the trust experience between people and intelligent tools
People-centered AI drives value medicine
People-oriented AI can reduce costs and increase efficiency