HEDIAX

Health Data. Intelligent Decisions.

Turn complex healthcare data into reliable evidence, clearer reporting, and practical decisions.

HEDIAX provides focused healthcare analytics and informatics expertise for defined projects. We support health organizations, public health programs, research teams, and digital health initiatives in the United States and internationally.

Begin with a confidential conversation about your goals, data environment, and next steps. Please do not share PHI at this stage.

Healthcare professionals reviewing analytical findings together
Illustrative view of a multidisciplinary healthcare data review.
Clear Analysis. Useful Communication.

Technical work should make decisions easier to understand.

HEDIAX combines careful data preparation, appropriate analytical methods, clinical context, and direct communication. The result is work that leaders and technical teams can review, question, and use.

Learn about our professional approach
Doctoral ExpertiseHealth Informatics
Healthcare FocusClinical, operational & research data
Standards KnowledgeHL7, FHIR, ICD-10-CM, SNOMED CT & LOINC
Bilingual SupportEnglish & Arabic
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 by providing specialized expertise for clearly defined projects, without requiring a permanent analyst or informatics specialist.

What You Receive

Work designed to leave your team with usable results.

01

A Clear Assessment

A structured view of the current data, reporting process, quality gaps, and decision needs.

02

Practical Deliverables

Analysis, dashboards, indicator definitions, data quality findings, or implementation guidance matched to the project.

03

Documented Next Steps

Transparent methods, assumptions, limitations, and recommendations your team can understand and use.

Services

Specialized support, by project.

Healthcare Data Analytics

Clinical, operational, and population level analysis that turns raw records into useful insight for decisions.

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 analytical support for publication.

Data Quality & QA/QC

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

Interoperability & Standards

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

Digital Health & DHIS2

Health information system assessment, DHIS2 data quality, indicator design, integration planning, and capacity building.

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 support for defined projects with 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 and Arabic communication.

Middle East Healthcare Analytics →
How Engagements Work

A focused path from question to decision.

Expertise

Tools and standards we work in.

SQLPythonRSAS Power BITableauHL7FHIR ICD-10-CMEHR DataStatistics Machine LearningQA/QC DHIS2SNOMED CTLOINC
Founder

Dr. Ali Ben Khalil, DHI

Founder & Principal Consultant
Healthcare Data Analyst and Health Informatics Specialist

Doctor of Health Informatics, Rutgers University, with graduate training in health sciences and a foundation in medical laboratory sciences.

Experience spans healthcare analytics, clinical and operational data, research methods, statistical modeling, machine learning, data quality, and health information standards.

Doctor of Health Informatics
Rutgers University
Master of Health Science
Quinnipiac University
Read the full professional background →
Start with the problem

Need specialized healthcare data expertise?

Share the decision you need to make, the reporting challenge you face, or the system you want to improve. HEDIAX will help define a practical starting point.