Revolutionising Medical Billing for Healthcare Professionals
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Intuitive 'Snap, Scroll, Done' user experience
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Cross-platform solution for all medical professionals
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AI-powered OCR for streamlined claims processing
The Brief
Transforming complex medical billing into a three-step process that fits in the palm of your hand.
OpBill approached PixelForce with a vision to revolutionise Australia's medical billing landscape. The existing systems for processing Medicare and private health fund claims were cumbersome, time-consuming, and expensive—creating significant administrative burden for medical professionals who needed to focus on patient care rather than paperwork.
The founders, themselves doctors, had identified a clear gap in the market: medical professionals needed a streamlined, affordable solution that could process bills quickly without requiring extensive training or desktop computer access. Their initial MVP, launched in 2017, had validated the concept and attracted a dedicated user base, proving that a more efficient approach to medical billing was not just wanted but needed.
With the success of their first iteration and growing demand, OpBill returned to PixelForce in 2024 ready to take their solution to the next level. They required a complete redesign and rebuild that would incorporate lessons learned from the original app while leveraging newer technologies to enhance performance, user experience, and market competitiveness.
The challenge was to create an elegant, faster, and more affordable billing solution specifically designed for surgeons, physicians, and surgical assistants - one that would allow them to complete billing processes with minimal effort, directly from their mobile devices, anywhere and anytime.
Our Solution
Our collaboration with OpBill began with a comprehensive brand refresh to position them as a modern, tech-forward solution in the healthcare industry. This rebrand served as the foundation for the complete redesign and development of their mobile application.
The cornerstone of our solution was the "Snap, Scroll, Done" approach - a radical simplification of what had traditionally been a complex, multi-step billing process. We crafted a clean, medical-professional-friendly interface that eliminated unnecessary steps and visual clutter, allowing users to complete billing processes in seconds rather than minutes.
By integrating advanced OCR technology with OpenAI capabilities, we created a system that accurately captures and interprets hospital labels from a simple smartphone photo, eliminating manual data entry—traditionally the most time-consuming aspect of medical billing. This AI-assisted approach works alongside personalised features like customisable "favourites" for frequently used item numbers and a comprehensive tracking system that provides transparency throughout the entire billing lifecycle.
To ensure cross-platform consistency and future scalability, we rebuilt the application using Flutter with a Ruby on Rails backend. This modern tech stack delivers identical experiences across iOS and Android devices while significantly improving performance compared to the original native apps. The architecture creates a foundation that accommodates future feature expansions while implementing sophisticated security measures to protect sensitive medical and financial data.
The development process followed an accelerated 4-month timeline using agile methodologies, allowing us to rapidly iterate based on user testing insights. By removing friction from every aspect of the billing process, the rebuilt OpBill app achieved its goal of fundamentally transforming how medical billing is performed in Australia.
Our services included
Technical Breakdown
The rebuilt OpBill application leverages Flutter for cross-platform consistency across iOS and Android, with a secured Ruby on Rails backend managing the complex business logic of medical billing. The integration of advanced OCR technology with OpenAI capabilities enables the app to intelligently interpret hospital labels from smartphone photos, dramatically reducing data entry time. This AI-assisted approach, combined with a cloud-based architecture for real-time synchronisation, delivers a secure, scalable solution that processes medical claims with unprecedented speed and accuracy.