With years of involvement in healthcare analytics, We've consistently delivered valuable solutions to practitioners and organizations, Empowering them to make informed decisions driven by data. Our commitment to precision and data-driven decision-making is at the core of our mission, ensuring that our clients navigate the complex healthcare data with confidence and success.
Health Information Exchange
Building healthcare systems integrations with leading engines like mirth connect enabling standard and secure exchange of sensitive health information.
Integration of data from various EHR / EMR, Practice Management Systems like Nextech, Modmed, AdvancedMD, Athena, NextGen, Officemate Eyefinity, Revolution EHR, Surescripts, EPIC. FHIR resource profile and extensions. Standards / Formats - CCDA, FHIR, HL7, and CSV.
Hipaa Compliant Data Infrastructure
Architect, Design, Build, Maintain HIPAA compliant data infrastructure on premise or cloud providers like AWS using EC2, ECS, EBS, S3, IAM, MFA Secret Manager,VPC, ALB, Lambda, API Gateway, SFTP, SES, Cloudwatch, and Security Hub.
Buliding large scale data analytics on top of integrated health information by implementing, data preparation, validation, cleaning, loading into data warehouse, data enrichment, analysis and visualization technologies: AWS Lambda, RDS, Tableau, D3.js, AWS Quicksight dashboards.
Electronic Lab Reporting
Clustrex provides software development, ELR message creation based on HL7 2.5.1, validation with state department of health establishing secure connectivity and message content validation for Home care agencies, Labs etc to report disease information such as COVID in their lab tests.
1. Healthcare Analytics
Value delivered :Technology Expertise, Cost Savings, Timezone support, Teamwork, HIPAA certified.
Challenges :Variety of Data Interoperability with many systems Strict Regulatory Compliance Domain Knowledge depth.
2. Patient Mobile App for Clinics
Value delivered :Improved patient experience, self-services workflows, and streamlining practice operations.
3. Clinical Trial Patient Database
Technologies used :React JS, Python, AWS Lambda, and Postgresql.
Value Delivered :Ability to quickly zero-in on a prospect list for Clinical Trials.