HEDIAX

Health Data. Intelligent Decisions.

Transform complex healthcare and research data into clear, reliable, decision-ready insight.

HEDIAX provides healthcare data analytics, health informatics, research data support, dashboards, data quality, and interoperability services for organizations in the United States and internationally.

Better Data. Better Decisions.

Data on its own isn’t insight.

Healthcare organizations often have valuable data but struggle with fragmented reporting, inconsistent data quality, manual workflows, and limited analytical capacity. HEDIAX helps bridge that gap — providing specialized project-based expertise without requiring clients to hire a full-time analyst or informatics specialist.

Services

Specialized support, by project.

Healthcare Data Analytics

Clinical, operational, and population-level analysis that turns raw records into decision-support insight.

Dashboards & Reporting

Power BI and Tableau dashboards for clinical, operational, and executive reporting needs.

Health Informatics

Clinical data strategy, workflow improvement, and informatics guidance grounded in real data structures.

Research Data & Statistics

Research database preparation, statistical analysis, machine learning, and publication-oriented support.

Data Quality & QA/QC

Validation, cleaning, and consistency review that make downstream analysis trustworthy.

Interoperability & Standards

HL7, FHIR, ICD-10-CM, and CPT-aligned data mapping and terminology alignment.

Who We Help

Organizations that work with complex health data.

Healthcare organizations Clinics Research teams Public health programs Academic researchers Digital-health startups Healthcare consulting firms
Markets

Based in Connecticut. Working internationally.

United States

Remote, project-based support for clinics, health systems, research organizations, and healthcare startups nationwide.

U.S. Healthcare Analytics →

Middle East — UAE, Qatar & Gulf

Remote U.S.-based analytics support with bilingual English-Arabic communication.

Middle East Healthcare Analytics →
Selected Analytics Experience

From Complex Data to Meaningful Evidence

A research example: analysis of Lyme disease patterns across the Northeastern United States, built on large-scale U.S. healthcare discharge datasets identified through ICD-10 coding, with demographic, geographic, and seasonal analysis supported by statistical and machine-learning methods.

Expertise

Tools and standards we work in.

SQLPythonRSAS Power BITableauHL7FHIR ICD-10-CMEHR DataStatistics Machine LearningQA/QC
Founder

Ali Ben Khalil, DHI

Founder & Principal Consultant
Healthcare Data Analyst and Health Informatics Specialist

Doctor of Health Informatics, Rutgers University.

Read the full background →

Need Specialized Healthcare Data Expertise?