Design for antenatal care interface

Philips Research


Hypertensive Disorder in Pregnancy (HDP) is one of the most common medical complications in pregnancy, which can lead to hospitalization or even maternal death. Therefore, it is of vital importance to get in contact with a health care professional when symptoms occur related to HDP. In addition, pregnancies complicated by HDP cause a big cost burden for health care in the short- and long-term. The implementation of symptom data in the workflow of health care professionals may contribute as decision support, so a professional may be able to diagnose HDP in an earlier stage. Related work shows applications, which try to guide and advise pregnant women, however, these data-driven applications do not involve any health care professionals.

The overall aim of this project was to find out how symptom data could be valuable for different health care professionals regarding HDP and what elements are required to let the symptom data perform at its best. First, contextual research was done to get a better understanding of the design space. Finally, a user-deployment study showed how the symptom data could adapt to the needs of different professionals.

Whereas the contextual research gave insights into the different symptoms regarding HDP and at what specific moments the symptom data is valuable in the workflow of professionals, the user-deployment study collected valuable insights in the sense-making process of professionals when perceiving the symptom data. The findings show that symptom data could support the decision-making process of health care professionals if the data is perceived at the right moment in their workflow and may result in earlier diagnoses regarding HDP.


Collaboration with Pregnancy Risk Team (Philips Research)

New research proposal for Pregnancy Risk Team

Development value proposition

Contextual research

User deployment research

Analyzing user experience

Analyzing user data

Concept development

User interaction design

Data design

User experience design for algorithm Pregnancy Risk Team

User interface

Implementation of data visualizations

Contextual research - Sensitizing storyboard

Contextual research - Visionary storyboard

Contextual research - Symptom exploration

Contextual research - Computer vision to locate the position of the symptom tokens

Contextual research - Workflow overview based on results

Provotype design - User application to add symptoms

Provotype design - Dashboard for professionals to observe and interact with symptom data

User deployment research - Concept exploration

User deployment research - Scenarios

Final design proposal - User application to add symptoms

Final design proposal - Dashboard for professionals to observe and interact with symptom data

Final design proposal - User interaction with algorithm

© 2020 Jesper van Bentum