Role
Head of design
Year
2020-2022
Siilo is Europe's largest healthcare communication platform. At first, the product lacked many of the tools healthcare professionals needed to make it part of their daily workflow. We created a product vision to define where the platform should go next.

Display flexible content cards featuring cases a medical professional has created, as well as cases that may interest them based on their profession.

When a case is shared in chats or other forms of communication, the case content is minimized to provide more context for what the medical professional is saying about it.
Motion study.
We heard from users that the way they create cases through the app was a very simple task where they entered the patient identifier, title, and details about the case, and then posted it. We wanted to preserve the simplicity of creating a case while including the foundational items they would need to properly do their job.
After doing more research on how cases are created in the medical industry, we came across a standardized format that medical professionals use called the SBAR method: Situation, Background, Assessment, and Recommendation, along with patient identifiers such as name and date of birth.

Name and relevant information.

Detailed step based on context of profession.

Review and send.
Motion study for posting a case.

Case view.

Quick suggestion from contacts/organization.

Tagging the right person.
Knowing who and when to contact a colleague was one of the most important and frequently requested features in the Siilo app.
Within the case system, knowing who was on shift was vital because it allowed users to connect with the right people at the right time without disturbing colleagues who were not working, which contributed to burnout across the medical industry.

Find teams that are in and outside of their network.

Team directory to find who to contact.

See who's on shift to chat/call.
For healthcare professionals, getting in touch with the right person was absolutely critical. We heard from users that they wanted a way to reach their colleagues even when notifications were turned off. They needed to know they could reach the right person when it mattered most.

Use a system message to provide user with option to message colleague who is on shift.

Provide ability for users to send message as urgent, but add friction as this is only meant for emergencies.

Message is clearly marked as an urgent message.
Right before AI became mainstream, we asked ourselves what if we could gather all the notifications and conversations for healthcare workers and use machine learning to surface the most relevant information in an easily digestible and accessible way.

Summary roundup card front and center in the case home.

Machine learning summary of what to pay attention to.

Of course… light mode:).










