Learn how we enabled a healthcare platform to ensure HIPAA and SOC2 compliance while automating critical processes

About the Project

To fulfill the mission of predicting accurate delivery time for maternal care while ensuring data security, our team at Mindbowser assembled a project team consisting of machine learning experts, healthcare domain specialists, HIPAA and SOC2 compliance consultants, backend developers, and quality assurance engineers. This diverse and skilled teams worked collaboratively to delivery strong, compliant, and innovative healthcare solutions.

Project Information

Industry

Healthcare

Technologies Used

Vanta
Machine Learning Algorithms
Secure Cloud Infrastructure
EHR Integration APIs

Interested
Solution Implemented

The project was executed with a strategic approach to ensure the platform met compliance standards while maintaining its predictive capabilities. Key activities included:

We guided the client through their HIPAA and SOC2 compliance journey, establishing protocols for protecting sensitive health data.

Implemented Vanta’s automated compliance platform to streamline evidence collection, monitoring, and reporting for regulatory adherence.

Designed and trained a machine learning model using patient data, including age, BMI, dilation, and other clinical variables, to accurately predict delivery times.

Ensured seamless interoperability with EHR systems using standardized APIs, enabling efficient data exchange and enhancing care coordination.

Automated up to 85% of compliance evidence collection and security checks, reducing audit preparation costs and personnel hours.

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