Personalized healthcare recommendation


Analytics platform compares millions of healthcare providers to recommend personalized treatment.


Year2013 – Ongoing

RoleApplication Development, Machine Learning

TechnologyJava, Jersey, Rails, Se, Greenplum, Python, Angular JS, EC2, ELB, VPC, SQS, Redshift, S3, Elasticache, Route 53, RDS, Elasticsearch, Cloudwatch, AWS Auto Scaling, CloudFormation, IAM, AWS Lambda, AWS Step Functions

Sophisticated SaaS platform personalizes inputs

Our client, a leading healthcare information provider, empowers people to make the best choices for their health, and help companies make the most of their health benefits. The requirement was to develop a sophisticated SaaS platform that provides personalized inputs on various healthcare products available in the market, thereby optimizing annual medical expense for the companies.

Machine learning solution improves quality of care

We built an integrated platform with advanced search features. It compares providers based on overall performance that considers quality of care, pricing and other classified data points. The platform provides a single personalized view into all health benefits, health savings account (HSA) and plan status. Our intuitive natural language processing technique enables employees to search in human language and receive contextual results. The platform’s analytical engine runs simulations using millions of health plan pricing variables. We also developed spend pattern analytics that provides instant access to digital insurance cards, past care and claims of the employee.


High performance analytics engine delivered

Healthcare provider comparison is a core feature that helped our customer differentiate in the market. The high-performance analytics engine is one of its kind in the industry that simulates millions of health plan pricing variables.