HIPAA-Compliant Analytics
Processing and analyzing PHI in a HIPAA-compliant environment with encryption, access controls, and audit logging at every layer.
Data Analytics
AWS Data Analytics for Healthcare
We build HIPAA-compliant analytics platforms on AWS that transform clinical and operational data into insights — population health analysis, outcomes research, and operational efficiency.
- A source system is connected.
- Ingest lands in the lake or the stream, not a spreadsheet hop.
- Transform cleans and models before anyone charts it.
- Publish is a dashboard or an API, with the same grain.
- A named owner holds the quality gate.
- What lands is decision-ready, not another raw extract.
Key Challenges We Solve
Clinical Data Integration
Integrating data from EHR systems, lab results, claims data, and wearable devices into a unified analytical platform.
De-Identification
De-identifying PHI for research and analytics using HIPAA Safe Harbor and Expert Determination methods.
Real-Time Clinical Alerts
Processing clinical data streams in real time to detect adverse events, drug interactions, and critical lab values.
Our Approach
HIPAA-Compliant Data Lake
S3 + Glue + Lake Formation with KMS encryption, VPC endpoints, and fine-grained access controls for PHI analytics.
HealthLake Integration
AWS HealthLake for FHIR-native data storage and analytics, enabling standardized clinical data queries and interoperability.
De-Identification Pipeline
Automated PHI de-identification using Amazon Comprehend Medical and custom NLP models for research-ready datasets.
Frequently Asked Questions
Can we run analytics on PHI in the cloud?
Yes. AWS HIPAA-eligible services (S3, Glue, Athena, Redshift, QuickSight) support PHI analytics when configured with proper encryption, access controls, and audit logging. A signed BAA with AWS is required.
What is AWS HealthLake?
HealthLake is a HIPAA-eligible FHIR data store that normalizes clinical data into the FHIR R4 format. It provides built-in NLP to extract medical concepts from unstructured clinical notes and enables SQL-like queries over FHIR data.
How do you handle data from multiple EHR systems?
We build integration pipelines using AWS Glue and HealthLake that normalize data from multiple EHR systems (Epic, Cerner, Allscripts) into a common FHIR format. This unified data model enables cross-system analytics and reporting.
Ready to Get Started?
Talk to our AWS experts about aws data analytics for healthcare.