We studied all of this to build the system from the users' point of view.
This helped us design apps and systems that didn’t just work on their own, but talked to
each other in real time. So when a patient books a video consultation, the doctor sees it
immediately. If medicine is prescribed, the pharmacy is notified and a rider is assigned,
without any delays or back-and-forth. At the same time, insurance information is shared to
start the claim process automatically.
We leveraged AWS cloud infrastructure and DevOps
automation to build a secure and scalable
system. Key technologies like Amazon Chime were integrated for online consultations, M-Pesa
for payments, and facial recognition for identity verification, ensuring smooth and
trustworthy interactions throughout.
A core aspect of our Livia application development approach was modularization. Instead of
developing a one-size-fits-all platform, we rolled out dedicated applications, each
optimized for its user group, alongside a centralized operator panel to oversee and manage
workflows in real time. This strategy helped ensure data consistency, security, and
usability at scale.
To turn this vision into a working platform, we followed a flexible, feedback-driven
approach that allowed us to adapt in real time and stay aligned with user needs.
- Broke down development into smaller feature sets
- Conducted regular walkthroughs with stakeholders for quick validation
- Made fast iterations based on real-time feedback
- Ensured data privacy and HIPAA compliance at every stage
- Delivered stable releases through DevOps automation and QA
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