USA
Belgium
France
UK
Australia
India
Singapore
Client Background
The client is an US-based academic medical center focused on integrated health care, education, and research
Client Need
- Client wanted to a big data based solution for real time and visual analytics
- Client wanted us to explore what-if scenarios, and to collect evidence-based cohorts for future statistical validation and pattern mining
Our Solution
- Developed a scalable search engine to support >1 billion facts and >1 thousand properties with an up-to-data dataset in real time
- This cloud-based system expands on past experiences approach used by healthcare providers to formulate course of action for a patient
- Alignment of cohort histories to landmark events (e.g., time of surgery, admission date)
- Implemented GUI to compare patient to similar patients and explore “what-if” scenarios
- HIPAA-compliant security
Key Benefits
- Client can now take quick clinical decisions with real world evidence across numerous “patient like mine”
- Big-data techniques enable the provider to recall easily all similar patients from the electronic medical record (EMR) repository
- Improved user experience and care
Tools & Technologies
Elasticsearch
Node JS
SQL Server
HL7 FHIR Foundation
JavaScript
