Aim
To evaluate a new obstetric ultrasound report for second trimester scan. In this new designed report, we adopted several ideas related to artificial intelligence applications and UX design principles to mitigate patients’ information needs and increase women understanding of the report.
Method:
This is an interventional study compared a traditionally designed report with our new designed report. We used Amazon Mechanical Turk to recruit childbearing age women who are or were pregnant. We used five evaluation concepts: report understanding, perceived ease of use, perceived usefulness, intention to use, and perceived aesthetics. We also measured the perceived ease of use and perceived usefulness of the new components in the report by asking the interventional group about the new components.
Result:
Understanding the report increased in comparison to the old design P = < 003. We found a significant difference of the Perceived ease of use, perceived usefulness, intention to use, and perceived esthetics in the new designed report comparing to the traditional design. We found that the new components were perceived as easy to use and useful by the majority of respondents.
Conclusion:
The new report increased information understanding among pregnant women. User experience design was one of the aspects we looked at when developing the report. The results showed that understanding the report was higher among the interventional group, demonstrating that reporting through patient portal should take advantage of technology advancements to ensure information is understandable by patients.