Health IT Clinical Data SME & Analyst (Interoperability Focus)

Intellibee Inc; Raleigh (NC); On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

Long-Term Stability

Comprehensive Health Coverage

Future Planning

GC Assistance

Job summary

IntelliBee Inc. seeks a Health IT Technical Analyst to serve as a clinical SME for Medicaid and NC HIEA projects. You will support data standards, coding systems, and interoperability while coordinating with health entities to meet CMS timelines.

The ideal candidate analyzes clinical data, tests data flows, and contributes to API development for NCHealthConnex and NCFAST, ensuring accuracy and timely implementations within health IT programs.

Qualifications

• Experience with clinical coding systems and data exchange standards.
• Ability to analyze, validate, and troubleshoot clinical data accuracy.
• Experience in Health Information Exchange or clinical informatics environment.

Responsibilities

• Analyze, validate, and troubleshoot NC HealthConnex clinical data used to support HR1 work- requirement exemption determinations.
• Assist with the development and refinement of the API that delivers relevant clinical data from NC HealthConnex to NCFAST (DHB's eligibility system).
• Work with SAS, J2, NC Medicaid teams and stakeholders to test data flows and move new functionality to production.
• Support scoping of new projects and feasibility assessments.

Skills

HL7

FHIR

SNOMED CT

LOINC

ICD

CPT

RxNorm

Data analysis

Communication

Team collaboration

Education

Bachelor's degree in Health Informatics/Information Science/Public Health

Tools

SAS

J2

NCFAST

Job description

IntelliBee Inc. seeks a Health IT Technical Analyst to serve as a clinical SME for Medicaid and NC HIEA projects. You will support data standards, coding systems, and interoperability while coordinating with health entities to meet CMS timelines.

The ideal candidate analyzes clinical data, tests data flows, and contributes to API development for NCHealthConnex and NCFAST, ensuring accuracy and timely implementations within health IT programs.