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Success Story

FHIR-Complaint Clinical Registry Platform

Improved productivity of human abstractors deriving from notes

Client Background

The client is a leading managed care consortium in the US

Client Need

The client needed to support clinical practice redesign and improvement programs across dozens of sub-specialties and hundreds of clinical registries
The APIs and extensibility of FHIR should enable human enrichment and machine learning over integrated clinical data
The solution should speed up the creation of registries and reduce the ongoing costs associated with registry maintenance

Solution

Integrated EHR and ancillary clinical data with specialty specific elements
Enriched data with natural language, rules, and machine learning
Provided solution architecture in addition to various other services including healthcare subject expertise, project management, web services development, UI/UX, business intelligence and quality assurance

Realized Benefits

Improved productivity of human abstractors deriving from notes
Practitioners can now define registries using clinical terminology
The platform supports specialty-specific analytics
Reduced maintenance costs

Tools & Technologies

Hadoop
Apache Hbase
Elasticsearch
Power designer
Spring
Angular JS
Node JS
Redis

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