AI-Powered Patient Record System

The Customer

Public Sector Healthcare Department

The Project

AI-Powered Document Workflow Automation Solution

Overview

Our public sector healthcare department client faced significant challenges in managing the inflow of medical device reporting forms, which were manually processed. Improving developed an Automated Medical Device Reporting Solution to streamline and automate the entire data ingestion and processing workflow.

The Challenge

Our client was overwhelmed by the manual processing of medical device reporting forms, leading to inefficiencies and potential health risks. The lack of standardization and the manual nature of the process created inefficiencies, increased the risk of human error, and delayed the detection of potential health risks.

The Solution

We developed an AI-powered automated system using a combination of a front-end web application, back-end systems, and machine learning models. By implementing Google Cloud services and integrating Document AI and AutoML, we created a solution that could handle vast amounts of data efficiently. The system included an interface for analysts to review automatically extracted data and provided an API endpoint for seamless integration with the public sector healthcare department’s existing systems

Business Benefits

• Enhanced efficiency, reducing form processing time from weeks to hours.

• Improved accuracy in data extraction, reducing human error.

• Scalable solution to handle increasing data volumes.

• Cost savings by reducing the need for temporary data entry personnel.

• Ensured regulatory compliance with data protection regulations.

• Improved data-driven insights for problem resolution

Partnerships

The project’s success relied on close collaboration with Google Cloud’s public sector customer engineering team and the Document AI product team. Partnering with iFathom facilitated the contracting and procurement processes

Conclusion

Improving’s automated solution for our healthcare department client transformed a cumbersome and error-prone manual process into a streamlined, efficient, and scalable workflow. Leveraging machine learning and cloud technologies, we significantly reduced processing times and improved data accuracy, enhancing our client’s ability to monitor and respond to medical device issues quickly