Customer Stories / Healthcare
HealthPlix Empowers Doctors in India with AI-Powered Electronic Medical Records Platform on AWS
HealthPlix Technologies relies on scalable data and storage architecture on AWS to expand its electronic medical record (EMR) platform, which is currently used by 2 percent of India’s population. HealthPlix aims to improve health outcomes throughout India and make doctors’ lives easier with its cloud-based EMR solution.
Opportunity | Extending Doctors’ Reach to Remote Areas of India
Our mission is to make life easier for doctors. By leveraging expert help and scalable, smart infrastructure on AWS, we can maintain focus on delivering features that support our mission.”
Srinivasa Raghavan Kandala
Associate Director – Engineering, HealthPlix Technologies
Solution | Leveraging Support and Managed Services for Faster Time-to-Market
Outcome | Growing 10% Month-on-Month with Scalable Data Architecture
Building Intuitive Interfaces to Simplify Doctors’ Workflows
Delivering New Value-Added Features on the Cloud
Most recently, the startup released its HealthPlix Spot mobile app to facilitate appointment scheduling and other services between patients and doctors. HealthPlix is also exploring other AWS analytics and machine learning services to roll out more features this year. Explains Kandala, “Our mission is to make life easier for doctors. By leveraging expert help and scalable, smart infrastructure on AWS, we can maintain focus on delivering features that support our mission.”
To learn more, visit aws.amazon.com/big-data/datalakes-and-analytics.
About HealthPlix Technologies
HealthPlix was founded in 2014 with a mission to drive better health outcomes across India. Its AI-powered electronic medical record (EMR) software provides support for clinical decisions to more than 10,000 doctors in 370 cities.
AWS Services Used
Amazon Simple Storage Service
Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance.
Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale.
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Amazon Relational Database Service (Amazon RDS) for MySQL
MySQL is the world's most popular open source relational database and Amazon RDS makes it easy to set up, operate, and scale MySQL deployments in the cloud.
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