Optimising Patient Care with AI
HealthTech/Healthcare
August 2023 - ongoing
The US 
Django|Python|Vue.js
Back-end Development|Front-end Development|Project Management
Dedicated team behind the project
The Client
Our client is a healthcare technology startup dedicated to modernizing health data retrieval. Their mission is to revolutionize the way patient data is accessed and utilized, empowering providers to deliver higher quality care. Their innovative solution offers an alternative to traditional fax-based systems, aiming to streamline processes and improve data accuracy.
Client Achievements:
The client successfully raised a US$5 million seed funding round as reported by Founderlodge. This investment validates the company’s innovative approach to health data retrieval.
THE CHALLENGE
With a need to accelerate their development process and transition their tech stack to Django, a high-level Python web framework, our client undertook a significant shift. This strategic move was important to enable faster and more efficient web application development.
The company wanted to upgrade their workflow by integrating AI into their system. This technological advancement was aiming to speed up the retrieval and analysis of these records, and also improve the overall operational workflow.
What tested our expertise most was the integration of Mixpanel into the application. The lack of existing documentation or community knowledge on this issue needed an empirical approach to problem-solving, focusing on the development of a strong solution for improved user statistics tracking.
What Was Done
Our team has been focused on improving the functionality and efficiency of the client’s application through several key projects. Each project presented its own set of technical challenges, requiring a deep understanding of both the application’s architecture and the specific needs of the industry.
Implemented Features:
The team improved the main core business logic for better efficiency, restructured data transfer for reduced memory usage, and optimized the codebase for faster execution and improved memory utilization. Specifically, multiple data copies in each process were transitioned to a singular data object model.
A solution was developed that dynamically creates internal links in PDF documents, allowing users to navigate directly to specific pages.
Successfully integrated Mixpanel into the application, enabling to gather more comprehensive user statistics.
This involved setting up the Django environment, transferring existing functionalities and data to the new platform, and testing to ensure operational continuity.
AI technologies were carefully selected and integrated into the system. This step required configuring the AI tools to specifically handle the automation of health data processing.
During the research phase of the FHIR Spike Story, we developed a proof of concept for a FHIR data warehouse and data pipeline. This is the initial step towards integrating FHIR standards.
Project Management
Emphasized efficiency and waste reduction throughout the project lifecycle.
Enabled regular reviews and adjustments with a dynamic, cycle-based approach.
Focused on setting clear objectives and coordinating tasks in weekly sessions.
Fostered self-management by allowing engineers to choose tasks autonomously.
Leveraged diverse skill sets for enhanced problem-solving and innovation.
Utilized for precise task difficulty assessment and progress tracking.
Results
Mixpanel integration now provides daily user statistics that help uncover opportunities for app improvement. This integration allows for a deeper understanding of user behavior, aiding in the refinement of features and overall user experience
Achieved cleaner and faster code execution. Utilized a single data object across processes instead of multiple copies to reduce memory usage
Developed a promising proof of concept for a FHIR data warehouse and data pipeline. Actively testing the integration of new medical data standards into the business model
Enhanced document usability, making PDFs generated by the company more effective for end-users
The company has been recognized and included in BestStartup.us's prestigious list of the best medical companies and startups
The client raised a $5 million seed funding round
Tech Stack
What the team has to say
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