A Trusted Advisor for Doctors and Caregivers
Design Challenges
In order to be valuable in a clinical environment, a system has to be able to distill the huge corpus of information that comprises a particular patient’s complex clinical situation (including symptoms, condition, drugs, therapies, and treatments). The challenge was to present this clinical data in a way that provided insight into the underlying logic behind Watson’s recommendations while ensuring that the most salient points remain clear and accessible even for users in high-stress environments.
To make this happen, I designed an experience mediated through natural language and validated through transparency, with direct access to external resources to verify Watson’s diagnoses and recommendations.
The Goal
My task as product designer was to implement Watson for use in professional medical practice. In order to be valuable in a clinical environment, a system has to be able to distill the huge corpus of information that comprises a particular patient’s complex clinical situation (including symptoms, condition, drugs, therapies, and treatments).
Creating a Living Medical History
The platform integrated various data sources, including hospital records, medical reports, and real-time data from sensors, to create a comprehensive electronic medical record. This living document served as a foundation for Watson’s analysis and recommendations.
Transparency & Verifiability
Automatic recommendations of potential resources to supplement and/or clarify Watson’s recommendations, including journal articles, instructional videos, tests, and connections to known subject matter experts.
Physicians, patients, and caregivers could see a list of experts who could provide a second opinion, and connect with these individuals through the secure CarePlex community.
Communicating an AI's Thought Process
Visualization of Watson’s predictive analytics provided insight into how it drew its conclusions. Doctors could assess an individual’s needs and select interventions with greater confidence and accuracy.
Natural Language Interaction
A key feature of CarePlex was its reliance on natural language processing for interaction. This approach allowed users to input and receive information conversationally, streamlining the user experience and focusing attention on critical care decisions.
A Global Community of Experts
CarePlex emerged as a cloud-based SaaS solution that rapidly connected medical professionals worldwide. Its natural language interface facilitated easy adoption across different regions, requiring minimal training. The platform supported a global community, enhancing medical practices with AI-driven insights.
AI Design
By integrating cognitive computing with practical, user-centric design, CarePlex exemplified how technology can address complex challenges in healthcare, offering personalized, data-driven support to improve patient outcomes.