clini.cal
Team
Tools
Role
Duration
improving healthcare access through simplified scheduling
What inspired this concept
Our inspiration for this app stemmed from the frustrating challenges patients often face when trying to access healthcare services and the need for healthcare providers to optimize their schedules.
We envisioned a solution that would streamline the scheduling process, reducing wait times by letting the patients know the best times to schedule their appointments, the recommended medical appointments they should schedule accounting for factors such as age, sex, and health issues, visit healthcare providers, improving access to care, and enhancing the overall experience.
Note: This project was developed during SacHacks V, a 24-hour hackathon.
What our team envisioned clini.cal to be
Let's imagine Clini.Cal had more than 24 hours for development…
Clini.Cal is a healthcare scheduling platform designed to simplify the appointment booking process. Patients can easily find and book appointments with their preferred providers, benefiting from real-time availability and the ability to track live wait times at pharmacies and medical offices, making walk-ins more efficient.
Proactive reminders encourage patients to book yearly appointments in advance, helping them avoid scheduling conflicts. By streamlining scheduling, reducing wait times, and optimizing appointments, Clini.Cal empowers patients to better manage their time. Additionally, a built-in chatbot would provide general recommendations for healthcare services.
PROCESS _
How we built clini.cal
The design process began with the creation of mid-fidelity wireframes in Figma. For development, we utilized FlutterFlow for the frontend, a database powered by Supabase for backend operations, and integrated the OpenAI API to implement an AI chatbot within the application.
Challenges we ran into
A primary challenge was integrating the front-end (FlutterFlow) with the back-end. Collaboration within FlutterFlow proved difficult, requiring individual subscriptions for simultaneous editing.
Back-end testing on local machines was hindered by technical incompatibilities and user permissions on Mac. Furthermore, planned integration of a machine learning model for personalized appointment checklists was not feasible given the time constraints and the need to resolve the aforementioned technical hurdles.
OUTCOME _
Accomplishments that we're proud of
Despite the time constraint, our team successfully learned new technologies and built a functional project within 24 hours. We are satisfied with both the visual aesthetics and the overall functionality of the final product.
What did we take away from this?
Developing Clini.Cal provided valuable lessons in seamlessly integrating front-end and back-end technologies. We discovered the importance of collaboration tools and the challenges of selecting the right development platform.
Try out Clini.Cal here
OTHER WORK _
