Canada
Puerto Rico
USA
Belgium
France
UK
India
Client Background
The client is a US-based academic medical center specializing in integrated healthcare, education, and research.
Client Need
The client faced numerous challenges, including:
Lack of infrastructure to perform real-time data analysis and visualize complex data patterns, hindering timely decision-making
Inability to explore “what-if” scenarios and build evidence-based cohorts essential for advanced analytical capabilities to support predictive modeling and pattern mining.
Solution
The implemented solutions yielded the following outcomes:
Real-Time, Data-Driven Clinical Decisions: Developed a scalable, cloud-based search engine capable of processing over 1 billion data points and thousands of properties, with real-time access to up-to-date patient information
Clinical Insight Through Cohort Analysis: Aligned patient cohort histories with critical landmark events, such as surgery or admission dates, to identify patterns and trends
Advanced Scenario Modeling: Developed a user-friendly graphical interface (GUI) allowing clinicians to compare patient profiles and explore “what-if” scenarios to make more informed decisions about potential treatment pathways and outcomes
Data Security: Implemented a HIPAA-compliant security framework to ensure the confidentiality and integrity of sensitive patient data throughout the system
Realized Benefits
The implemented solutions yielded the following outcomes:
Enhanced clinicians to make rapid, informed decisions using real-world evidence derived from comprehensive “patient like mine” analysis
Enabled providers to efficiently leverage big data techniques to instantly retrieve and analyze data from similar patients within the electronic medical record (EMR) repository, leading to deeper patient insights
Significantly improved user experience for clinicians and ultimately enhanced the quality of patient care
Tools & Technologies
Elasticsearch
Node JS
SQL Server
HL7 FHIR Foundation
JavaScript
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