Epic Conversions Analyst
Quick Overview
Job Description
Hybrid Details: Mostly remote with some onsite from mid-to-late October and mid-to-late November for Go Live support
Duration: 5 months to start
Job Description
- The Data Conversion Analyst is responsible for planning, coordinating, and executing the migration of clinical documents and patient data from legacy systems into Epic.
- This role specializes in the conversion and validation of Continuity of Care Documents (CCDs), document indexing, and the migration of OnBase Document Management System (DMS) links to Epic.
- The analyst collaborates with clinical, application, interface, and technical teams to ensure accurate, compliant, and seamless access to patient records following system implementation.
Required Qualifications
- Bachelor''s degree in Health Information Management, Health Informatics, Information Technology, Computer Science, or a related field, or equivalent work experience.
- 3+ years of experience supporting healthcare data conversion, EHR implementations, or clinical data migration projects.
- Hands-on experience with Epic implementations, upgrades, or optimization projects.
- Experience working with OnBase Document Management System (DMS) and document migration processes.
- Knowledge of CCD/CCDA document standards, healthcare interoperability, and clinical documentation workflows.
- Proficiency in Microsoft Excel, SQL, and data validation techniques.
- Understanding of HIPAA regulations and protected health information (PHI) requirements.
Key Responsibilities
- Analyze, map, and validate clinical and document data for migration into Epic.
- Coordinate the conversion and validation of Continuity of Care Documents (CCDs/CCDAs) to ensure accurate clinical data availability.
- Validate migrated document metadata, indexing, patient associations, and document accessibility within Epic.
- Support migration and reconciliation of OnBase DMS document links to Epic, ensuring documents are properly linked and accessible from the patient chart.
- Develop and execute data validation scripts and reconciliation reports for converted records.
- Collaborate with Epic application analysts, interface teams, HIM, clinical staff, and project managers throughout the conversion lifecycle.
- Perform quality assurance testing, integrated testing, User Acceptance Testing (UAT), and post-go-live validation.
- Investigate and resolve data discrepancies, broken document links, duplicate records, and indexing issues.
- Maintain comprehensive documentation of data mapping, conversion specifications, validation results, and issue resolution.
- Ensure all conversion activities comply with organizational data governance policies and healthcare regulatory standards.
Technical Skills
- EPIC Certification Required: Bridges.
- Experience with Epic electronic health record implementations.
- Experience supporting OnBase DMS integrations and document migrations.
- Knowledge of CCD/CCDA, HL7, and healthcare interoperability standards.
- Familiarity with ETL processes, data mapping, and reconciliation methodologies.
- Experience using reporting and analytics tools such as Microsoft Excel .
Core Competencies
- Exceptional attention to detail and commitment to data integrity.
- Strong analytical and troubleshooting skills.
- Excellent written and verbal communication skills.
- Ability to manage multiple priorities in a fast-paced implementation environment.
- Strong collaboration skills across clinical, technical, and operational teams.
- Commitment to maintaining patient confidentiality and safeguarding protected health information.
Preferred Qualifications
- Experience supporting Epic go-live events and legacy system decommissioning.
- Experience validating document imaging conversions and document retrieval within Epic.
- Knowledge of Health Information Management (HIM) workflows and document indexing standards.
Talent Groups is an equal opportunity employer that values diversity and inclusion. All qualified applicants will receive consideration without regard to protected characteristics. The listed compensation range represents a good-faith estimate and may vary based on experience, skills, education, certifications, market conditions, client budget, and location, in accordance with applicable pay transparency laws.
Skills
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