Registry Systems and Reporting Specialist - Schaumburg, IL (Flexible Hybrid Schedule)
$75,000–$95,000 year
HybridSchaumburg, Illinois, United States
Job Summary
Conduct advanced testing and validation of clinical registry data feeds, interfaces, and file submissions to ensure completeness, accuracy, and regulatory compliance. Analyze incoming registry data to identify anomalies, errors, and gaps, then serve as a Tier 3 escalation resource for complex issues affecting NACOR and ACR. Partner with anesthesia practices, EHR vendors, and internal teams to troubleshoot data transmission, mapping, and integration problems while supporting QCDR reporting programs and CMS MIPS submissions. Provide technical guidance and training to participants on data specifications and issue resolution processes, and maintain implementation guides and technical documentation. Leverage generative AI, machine learning, and natural language processing to streamline data validation, accelerate investigations, and enhance operational workflows. Monitor emerging CMS requirements and quality measure updates, and evaluate emerging technologies to recommend process improvements that enhance reporting accuracy and participant satisfaction.
Required Qualifications
- Bachelor's degree in Health Informatics, Information Systems, Data Analytics, Healthcare Administration, Computer Science, or a related discipline
- Minimum 3 years of experience supporting clinical registries, healthcare data systems, healthcare analytics, quality reporting programs, or healthcare technology platforms
- Experience troubleshooting healthcare data interfaces, data integrations, ETL processes, HL7, FHIR, XML, CSV, API integrations, or similar healthcare data exchange technologies
- Proficiency in Microsoft Fabric, PySpark notebooks, Python, SQL, and XML processing
- Strong data validation, data analysis, root-cause investigation, and problem-solving skills
- Ability to perform work in alignment with ASA core values: Dedication, Collaboration, Commitment to Excellence, Continuous Improvement
- May require lifting (boxes) in the 10-25 lb. range requiring the ability to bend at the waist and knee
Desired Qualifications
- Experience supporting clinical registries, healthcare quality reporting programs, QCDRs, or healthcare analytics environments
- Familiarity with CMS quality reporting programs, including MIPS QCDR and QR reporting methodologies
- Knowledge of data privacy regulations (e.g., HIPAA, Patient Safety Act of 2005 PSQIA, and Patient Safety Rule)
- Prior experience working with EHRs, anesthesia information management systems (AIMS), practice management systems, and third-party healthcare vendors
- Understanding of clinical quality measures, healthcare performance measurement, and data quality management principles
- Experience with Generative AI, Microsoft Copilot, Azure AI Services, machine learning, or similar AI technologies to support healthcare analytics, data quality, workflow automation, and predictive insights
- Familiarity with responsible AI practices, AI governance, and validation of AI solutions in healthcare or clinical registry environments
- Experience with applying AI-assisted data analysis, anomaly detection, predictive analytics, and process automation techniques in healthcare or clinical registry environments
- Excellent written and verbal communication skills with the ability to explain complex technical and data concepts to non-technical stakeholders
- Exceptional organizational skills with the ability to manage multiple priorities and deadlines
- Strong customer service orientation and commitment to participant success and issue resolution with exceptional interpersonal and communication skills, with the ability to build trust and rapport
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