VANTA Partners, Inc
Overview
The Data Integration Specialist is responsible for the support and management of clinical data integration including but not limited to: analyzing data to identify problems; extracting, transforming, and loading real-time and batch-based data; identifying gaps in data; and performing data normalization. This person should have the ability to understand data formats/specifications as well as the ability to provide gap analysis documentation to the business. This position collaborates across departments and with customers to maximize customer satisfaction. Responsibilities
Analyze clinical data to identify problems and assess data integration feasibility Work with the clinical team and the customer to resolve complex data issues Build transformations that extract and load clinical data into a clinical database Collaborate effectively with the team to successfully execute on projects 24/7 support of interface processing Requirements
Knowledge of Electronic Health Systems and clinical applications (e.g., Epic, Cerner, etc.) Experience working with NHSN reporting or Health Information Exchanges (HIE) is a plus Minimum 2 years’ experience with interface development and relational databases Solid understanding of HIPAA, PHI, data security, and encryption Strong problem solving, critical thinking and analytical skills Ability to work independently in a fast paced, changing environment Possess strong organizational skills and the ability to prioritize work and meet deadlines Excellent interpersonal, oral and written communication skills Preferred Skillset: Interface Engines: Mirth/Javascript Relational Databases: PostgreSQL (SQL scripting, json, regular expressions) Experience with clinical ontologies (e.g., LOINC, SNOMED, RxNorm) Knowledge of FHIR, HL7 2.x, CCD/CCDA, X12 and other standards BS or BA Degree in Computer Science or Engineering Sciences required
#J-18808-Ljbffr
The Data Integration Specialist is responsible for the support and management of clinical data integration including but not limited to: analyzing data to identify problems; extracting, transforming, and loading real-time and batch-based data; identifying gaps in data; and performing data normalization. This person should have the ability to understand data formats/specifications as well as the ability to provide gap analysis documentation to the business. This position collaborates across departments and with customers to maximize customer satisfaction. Responsibilities
Analyze clinical data to identify problems and assess data integration feasibility Work with the clinical team and the customer to resolve complex data issues Build transformations that extract and load clinical data into a clinical database Collaborate effectively with the team to successfully execute on projects 24/7 support of interface processing Requirements
Knowledge of Electronic Health Systems and clinical applications (e.g., Epic, Cerner, etc.) Experience working with NHSN reporting or Health Information Exchanges (HIE) is a plus Minimum 2 years’ experience with interface development and relational databases Solid understanding of HIPAA, PHI, data security, and encryption Strong problem solving, critical thinking and analytical skills Ability to work independently in a fast paced, changing environment Possess strong organizational skills and the ability to prioritize work and meet deadlines Excellent interpersonal, oral and written communication skills Preferred Skillset: Interface Engines: Mirth/Javascript Relational Databases: PostgreSQL (SQL scripting, json, regular expressions) Experience with clinical ontologies (e.g., LOINC, SNOMED, RxNorm) Knowledge of FHIR, HL7 2.x, CCD/CCDA, X12 and other standards BS or BA Degree in Computer Science or Engineering Sciences required
#J-18808-Ljbffr