Healthcare Analytics
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.
Services
Health Information Exchange
Building healthcare systems integrations with leading engines like mirth connect enabling standard and secure exchange of sensitive health information.
HL7 FHIR
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.
Application Development
Create Build healthcare applications using healthcare data for analytics visualization, business process optimization technologies: Python, Go, HTML, CSS, and JavaScript. Create apps via EPIC App Market (Orchard).
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.
Health Analytics
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.
These are few Practice Management and Electronic Medical Record we have integrated in the past.
Case Study
1. Healthcare Analytics
Full AWS architecture and setup provisioning EC2, EBS, ECS/Fargate, Route 53, S3+Glacier, Athena, IAM, MFA, Secrets Manager, VPC, ALB, Workspace, Lambda, API Gateway, SFTP, SES, Systems Manager, Cloudwatch, SecurityHub, OpenVPN, KMS, Certificate Manager. Large scale ETL ( Extract, Transform, Load ) of data across several US based healthcare practices using Talend / Postgres, across different data formats : CCDA/HL7, CSV. Full-scale migration of Data and Application from another cloud provider. Processing daily patient data for over 25+ US based healthcare practices Flow/Stream based processing using Apache Nifi, Drill and Talend ETL for cross-format data, MirthConnect, AWS Lambda, SQS, AWS RDS, Cloudwatch. Automation scripts in Unix Shell scripts, Python. Data Analysis and visualization using Tableau. Firth Connect / NextGen Connect Healthcare data processing and Building Applications on top of the data layer. 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
On the backend, the clinic staff can handle patient requests through a well defined workflow. All the patient records are made available integrating with the practice EMR and Practice management systems. Mobile App is built with React Native targetted for Apple and Android platforms. Web backend is based on Python, AWS Lambda, RDS Postgresql. Data lakes is built on a HIPAA compliant data infrastructure. Value delivered :
Improved patient experience, self-services workflows, and streamlining practice operations.
3. Clinical Trial Patient Database
Clustrex built a web application for an US based client, to built a database of patient prospects with their demographics information. Based on any specified filter criteria, select a list of prospects for a particular campaign/study. Bulk import of prospect information is enabled. Agencies can login and provide information. Technologies used :
React JS, Python, AWS Lambda, and Postgresql. Value Delivered :
Ability to quickly zero-in on a prospect list for Clinical Trials.
No. 51/2 - II Floor, Pandian Complex, Madipakkam Main Road, Madipakkam, Chennai-600091
Reach out to us and connect with our team to explore new possibilities.
