EngD in Prototyping Future AI-enabled Radiology Workflows

The Department of Industrial Design conducts research on and education in the design of systems with emerging technologies in a social context. We excel at integrating various academic disciplines, including engineering, design, business, and social sciences.

Introduction

Do you want to improve the lives of patients and medical doctors? Do you want to use your design skills or your software concept development skills to co-create the future of healthcare? Are you excited about the prospects of responsible AI for medical applications?

Job Description

Societal urgency

Access to high quality healthcare is under increasing pressure. Patient volumes are rising due to an aging population, and the amount of data from scans and image interpretation is increasing at a steeper pace than radiologists and pathologists can handle. Radiology leaders have raised alarm that labor shortages are leading to longer wait times and delays in treatment for patients. Never has there been a bigger need to relieve the pressure from staff. But how exactly do we make that happen?

The challenge

Adoption of radiology and pathology solutions is increasingly driven by the extent to which solutions “naturally” fit into clinical workflows and enable radiologists to deliver quality at speed. This requires not only high-quality medical data and cutting-edge AI models. More so, clinical acceptance and adoption depend on solutions that are designed with a clear understanding of clinical workflows and usage patterns, and with the requirements that different clinical experts have on their tooling. Beyond functional requirements, successful clinical adoption needs highly intuitive solutions, seamless workflow integration (speed), and a great user experience. In sum, we face the overarching challenge of how to integrate AI-based clinical decision-making tools into clinical practice that is characterized by fast-paced, high-stakes decision-making informed by deep domain knowledge and year-long expertise. Prototypes that are highly realistic in the eyes of the clinical user have shown to be an important “vehicle” to enable rapid co-creation with clinicians. It enables them to give meaningful clinician-centered direction to development complex technical tools. Are you ready to iteratively create such prototypes and shape them together with experts in the field?

You are part of a learning community

You will be strongly embedded in and work closely with a highly dynamic community with experts from different disciplines including designers, researchers, engineers, clinical specialists and business:

• You will work “in-tandem” with your fellow EngD team member. You learn from each other by bouncing-off ideas and taking turns at different steps in the design process.
• You will immerse yourself in the Philips Advanced Visualization & Insights business context working closely with the design teams on the latest technology developments in radiology, in close collaboration with hospitals and clinical end-users where the impact is made.
• The EngD program offers a personalized learning experience through a mix of courses, coaching and hands-on learning by doing.

You will be surrounded by a team of fellow EngDs and PhDs that focus on human-AI collaboration in the healthcare domain.
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Job Requirements

EngD position 1 – The medical UX/ UI design researcher & AI designer

In this position you dive deep into understanding the user needs and AI-enabled workflows of the clinical end users and translate those insights into UX requirements, scenarios, UI design concepts of (conversational) user-system interactions and interactive data visualizations. You express your ideas by creating clickable demonstrators together with your buddy “the creative technologist” (the second EngD candidate) and you enjoy using your user research skills to set up interviews and simulated use tests to collect user fee