After the pandemic, I observed many close relatives struggling to book medical appointments and effectively communicate with their healthcare providers. New York, in particular, faced a surge in demand for medical attention. This project aimed to evaluate Mount Sinai's online resources and health portal, with the goal of improving the patient experience and, ultimately, alleviating pressure on medical practices.
Both qualitative and quantitative data were collected through surveys and interviews to understand participants' habits and interactions with health portals.
At total of 33 participants surveyed about their habits in using online medical resources.
The interview criteria focused on users who relied on their patient portal to manage their appointments and medical data. This allowed me to focus the outcome of the insights.
Method: I conducted both in-person and online meetings for participants to answer a variety of questions formulated around their experience with online patient portals
Method: After the interviews were conducted I created an affinity map to synthisize any insights
Method: I asked users to join a teams meeting to answer a variety of questions formulated around their experience with online patient portals
"patients want to know how a test result will affect them and whether or not they need to seek further care after receiving a test result."
Baldwin, J.L. et al. (2017) ‘Patient portals and health apps: Pitfalls, promises, and what one might learn from the other’, Healthcare, 5(3), pp. 81–85. doi:10.1016/j.hjdsi.2016.08.004.
After gathering data from users I divided insights to create three main user groups to taret.
Method: To benchmark my iteration, I conducted a series of usability tests, including SUS analysis, task severity ratings, and observational interviews. I used insights from the results gathered in formative testing to iterate on my designs.
First, I assesed the discoverability of the MyChart application and its high traction features and services. I thought about onbording, appointment bookings and test result features.
First, I conducted testing on MyMountSinai website, its portal and its high traction features and services
Method: I conducted a task severity rating with four participants—two frequent users and two new users—assigning tasks such as making an appointment, finding a doctor, and viewing and describing test results. A SUS questionaire was also sent to participants.
A second round of testing was conducted with the same participants, using the same task severity questions, along with SUS questionnaires to benchmark the first iteration of the mid-fidelity screens.
After a final round of observational testing I found that users were particularly interested in the improvement of two features the Clinic notes that help users understand their test results and the viewing appointment availability by location rather than by Doctor.