Overview
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U Baby Fit is an EMR-integrated app that helps doctor from U-Hospital to track expectant mothers weight gain at the micro level and provide some kind of clinical assistance to pregnant women.
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Entry point
Most expectant mothers can check a chart of their weight gain from doctor visit to doctor visit. How the doctor of U-Hospital to track expectant mothers weight gain at the micro level? |
Challenge
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How to educate or give information to expectant mothers to taking care of their weight gain during pregnancy?
In U-baby Fit app, we focus on input EMR data combine with User data (BMI) together. Users can take photos of their food to send their doctor for advice on how to eat better during pregnancy. Also, it offer users track their steps walked everyday and throughout a user's pregnancy. |
User Research
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Questionnaires and Interview
We started our research by sending out online surveys to understand how the pregnant women gain weight during their pregnancy circle. |
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We found some data here:
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We get some of participants who were in the pregnancy period, and we get some keys points helped us to further shape our problem.
Key Insights
Problem statement Although they have regular check, some pregnant women are still overweight during pregnancy, and doctors don't know the reasons for excessive weight gain in the short term. |
User persona
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The main users we are targeting are expectant mothers who enrolled University of Utah Hospital system and familiar with android smartphone. The app will provide some kind of clinical assistance to pregnant women.
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Ideation |
In the user research, we identify what's the information user need, and we summarize and ideate from there about the exact content .
We focus on four parts to assist users: |
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Then based on the functions, I created an Information Architecture Map to helped us understand how the users navigate through the app.
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User testing
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After ideating the functions, we build a Low-fidelity prototype. We used sketch tool to help us quickly test our designs.
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Based on user testing, the user said the color change was difficult to understand the Chart, and didn't tell the exact information clearly. Thus, We unified the visual system and updated the weight graphic to better inform the users about their data from EMR record and Local record.
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Visual System
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Iterations
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Users said they were confused after sending a photo message to the doctor. They didn't know what happened after clicking the "flying" icon. Also, the pop-up Message List looks weird in the middle.
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Final Design
High Fidelity
Takeaway
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Offering the crucial feature is more important than offering everything.
There are many functions that can be offered through a pregnant app such as taking records of baby bump, records of contractions, kick counter, and so on. Based on user research, some expectant mothers had used other pregnant apps but only for certain features. Although other features might provide help to them, they are not their priorities, and thus become redundant to them. Instead of offering more, we should focus on the right content that fits our target users. |