Project Overview
SAP One Billion Lives is a Global Initiative to support employees in building Sustainable Social Ventures.
SAP CleaVision is a funded venture under the SAP One Billion Lives initiative, working toward building an intelligent solution to improve medical screening accessibility in Ocular Care.
Our Mission : "Eliminate Preventable Blindness by Minimising Time to Diagnosis and Maximising Potential for Treatment."
Our Mission : "Eliminate Preventable Blindness by Minimising Time to Diagnosis and Maximising Potential for Treatment."
SAP CleaVision Core team is based in Bangalore, India and works closely with a global advisory team and SAP leadership to make a positive impact on people's life. We also interact and forge meaningful partnerships with stakeholders outside SAP. Majority of our stakeholders are either hospital partners or connectivity partner to ensure last-mile reach for our solution.
The project scope during my involvement focussed on Retinopathy of Prematurity (ROP) which is an eye disorder caused by abnormal blood vessel growth in the light sensitive part of the eyes (retina) of premature infants. ROP generally affects infants born before week 31 of pregnancy and weighing 2.75 pounds (about 1,250 grams) or less at birth.
My Role & Contributions
As the Lead and only UX Designer on the project, I worked closely with subject matter experts on medical imaging, product leads and architects to design an intuitive experience for ocular experts and lab technicians using our healthcare delivery platform. I was involved in all phases of the design process including research, design, prototyping, testing and delivering final high-fidelity designs. In addition I was also involved in designing a companion app focused on image annotation by ocular experts.
Research
Since the core team was based in Bangalore and I was located in France, and my involvement started during the COVID-19 lockdowns, I wanted to explore qualitative research methods that could be performed remotely. With the help of the local team in Bangalore, we were able to setup remote interviews via Teams and WhatsApp over multiple sessions.
Engaging in video calls for the interviews helped me get a glimpse of the lab technicians in their work environment and also the technology they have access to during their imaging sessions. Insights were drawn from the interviews which were valuable in creating the personas in the next step.
Domain Knowledge
One of the most essential steps in the process was understanding the topic of Retinopathy of Prematurity in general which involved reading educational content from different sources including ROP manuals suggested by the technicians which was helpful in understanding the critical aspects of the disease itself.
Persona
Journey Map
Wireframes
With the insights gathered so far, I began working on initial sketches on paper to visualise the flow and later translated them to digital wireframes using Balsamiq.
SAP Fiori Design System
After refining the wireframes based on user feedback, I translated them to high-fidelity mockups based on SAP Fiori Design System
Mockups
Landing Page : My Appointments
Creating Patient Record
Import Fundus images
Importing Fundus Images
Image Classification
Analyse ROP
Fundus View
Tortuosity View
Unsharp View
ROP Determination
ROP Card
Testing and feedback
With the mockups ready, I conducted remote usability tests with the lab technician and experts to get feedback and refine the mockups. Mockups were presented and feedback was gathered using Invision app where users could directly share comments on specific areas of the mockups.
Learnings
Overall, being the lead designer in SAP CleaVision gave me the opportunity to learn more about the healthcare domain, especially Retinopathy of Prematurity and how it affects premature babies. Gaining domain-specific knowledge such as the small window of opportunity and the current imaging workflow to act was crucial in designing the user experience.
Press Links
SAP News Center : How AI Is Helping Defeat Infant Blindness in India
SAP News Center: SAP and CleaVision Use Machine Learning to Reduce Risk of Preventable Blindness in Premature Babies
LinkedIn Post: Paul Marriott
