coral
Coral is a prototype sexual health service finder and open data provider. It was originally conceptualized and prototyped by Team Oceanview while competing at the Vancouver Open Data Day Challenge 2018.
table of contents
team 💛
Estelle <> Jill <> Lindsey <> Manil <> Peter <> Qingxin
case
prototype Problem Statement
Finding clinics providing services for sexual health is confusing, and data about patient experience using those services is lacking.
protoype summary
Our solution is to rebuild the experience of patients looking for the best services. Then, patients using those services share anonymised feedback about their experience back through the tool.
user stories
View patient cases and user stories in Google Docs
open data sets
We used open data sets made available by:
- Options for Sexual Health
- BC CDC
- Auditor General of British Columbia
- GPS coordinates from Google Maps
To make the service available, we're looking for access to the following data:
- government funding data for clinics
- types of patients going to clinics
- the annual patient volume for clinics
Some of this data may be specially requested from DataBC.
mockups 🛠
landing page view:
- no fuss: straightforward interface to locate services
service filter view:
- while we wanted to take patients to results asap, without a preliminary filter, the results would include clinics which may not provide the patient with the services needed. We consider that to be a sub-par user experience.
results card view:
- this included only pertinent info. Once the patient knows the clinic is open, is located nearby, and has the feedback they're looking for, they can dig into full details by clicking into the summary card and info views.
clinic summary card view:
clinic info card view:
live prototypes 🚜
Feel free to look through the Github Issues and help us make this happen
pitch deck ⏱
click to view the pitch deck on Google Slides
next steps 🚀
- get the missing data, as detailed earlier.
- continue building out the finder service, the feedback service, and the data visualizer.
Extraordinary thanks to Luke for encouragement throughout the day (and beyond?)!