Healthcare Domain SME

ClinDCast LLC
Albany, NY, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Cerner Health Informatics Clinical Data Repository Data Governance Extract Transform Load (ETL) Data Warehousing EClinicalWorks EHR Systems Fast Healthcare Interoperability Resources Health Level Seven International Meditech Allscripts

Job description

Job Details: o Experience: 10+ years in healthcare data modeling, ETL, reporting related to EHR systems, EHR data related certifications or experience from one or two of the following EHR’s is mandatory- Cerner, Epic, Meditech, McKesson, eClinicalWorks, Allscripts, Athena Role Summary: We are looking for a Clinical Domain Subject Matter Expert (SME) to support a strategic data warehouse initiative. The SME will be responsible for guiding the ingestion and modeling of data from leading EHR systems, focusing on clinical and patient intake workflows. Key Responsibilities: * Serve as the domain expert for data related to: o Clinical workflows: Clinical orders, surgeries, allergies, assessments, and scoring etc. o Patient intake workflows: Scheduling, appointments, and related administrative processes. * Analyze and interpret EHR-specific data models to support ingestion into the enterprise data warehouse. * Collaborate with data architects, engineers, and business stakeholders to ensure semantic consistency and workflow alignment. * Document and validate mappings across various EHR systems and clinical domains.

Requirements

Required Skills & Experience: * Hands-on experience with data models from at least one or two of the following EHRs: o Cerner, Epic, Meditech, McKesson, eClinicalWorks, Allscripts, Athena * Deep understanding of ETL processes and data governance in healthcare environments. * Proven experience in healthcare data warehousing or interoperability projects. * Ability to interpret complex clinical data structures and translate them into actionable data models. Preferred Qualifications: * Experience working with clinical informatics teams or healthcare IT platforms. * Familiarity with clinical workflows and healthcare data standards (HL7, FHIR, CCD, etc.).

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