Registry Systems and Reporting Specialist - Schaumburg, IL (Flexible Hybrid Schedule)

The American Society of Anesthesiologists (ASA) team provides education, resources, and advocacy to help members improve patient experience and safety. Join over 160 change-makers, collaborators, and advocates working towards excellence in a culture that values diversity, collaboration, dedication, and continuous improvement. ASA has been named one of the Best and Brightest Companies to Work For in Chicago and the Nation® for the past ten years.

About the role

The Anesthesia Quality Institute (AQI), established by ASA in 2008, facilitates practice-based quality management through education and quality data feedback. AQI is a Patient Safety Organization (PSO) and home to NACOR, the largest anesthesia registry in the world, also serving as a Qualified Registry (QR) and Qualified Clinical Data Registry (QCDR).

The Registry Systems and Reporting Specialist supports the operational integrity, quality, and performance of AQI’s clinical registry portfolio, including the National Anesthesia Clinical Outcomes Registry (NACOR), NACOR + Anesthesia Community Registry (ACR), and related initiatives. This role serves as the primary technical and operational resource for registry data validation, testing, issue investigation, quality assurance, QCDR/QR reporting support, and Tier 3 escalation of participant support tickets.

Responsibilities

• Performs advanced testing and validation of clinical registry data feeds, interfaces, file submissions, and system enhancements to ensure data completeness, accuracy, and compliance with business and regulatory requirements.
• Supports user acceptance testing (UAT), regression testing, production validation, and release verification activities; documents testing results, root cause analyses, corrective actions, and process improvements.
• Analyzes incoming registry data to identify anomalies, errors, gaps, and opportunities to improve participant data quality and submission success rates.
• Serves as Tier 3 escalation resource for complex registry-related issues unresolved through standard support processes.
• Investigates and resolves escalated data quality, mapping, transmission, and system integration issues affecting NACOR and ACR.
• Partners with anesthesia practices, healthcare organizations, EHR/AIMS vendors, and third-party integration partners to test, troubleshoot, and validate registry submissions.
• Supports AQI QCDR reporting programs by validating measure eligibility, investigating reporting discrepancies, resolving participant issues, and conducting data quality reviews prior to CMS submission.
• Collaborates with Registry Operations, Analytics Solutions, Quality and Regulatory Affairs, and AQI/ASA technical teams to operationalize new registry capabilities, reporting requirements, and CMS program changes.
• Provides technical guidance and training to registry participants and internal stakeholders regarding data submission requirements, measure specifications, and issue resolution processes.
• Supports development and maintenance of registry implementation guides, data specifications, testing plans, and technical documentation.
• Serves as a subject matter expert for registry data specifications, submission requirements, validation rules, measure logic, and participant-facing technical documentation.
• Monitors emerging CMS reporting requirements, quality measure updates, and registry reporting standards; assists with operational impact assessments.
• Identifies opportunities to improve support workflows, monitoring, automation, reporting processes, and data quality controls using AI, machine learning, workflow automation, and decision-support technologies.
• Leverages generative AI, large language models (LLMs), natural language processing (NLP), and emerging technologies to enhance registry operations, streamline data validation, accelerate issue investigation, and improve participant support while adhering to governance, privacy, and security requirements.
• Supports development and maintenance of dashboards, reports, and operational metrics using AI and machine learning tools to monitor data quality and submission performance.
• Evaluates emerging AI technologies and healthcare informatics solutions applicable to clinical registries; recommends process improvements to enhance operational effectiveness, reporting accuracy, or participant satisfaction.
• Performs work in alignment with ASA core values: Dedication, Collaboration, Commitment to Excellence, Continuous Improvement.

Requirements

• 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, 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, analysis, root-cause investigation, and problem-solving skills.

Qualifications

• Experience supporting clinical registries, healthcare quality reporting programs, QCDRs, or healthcare analytics environments strongly preferred.
• Familiarity with CMS quality reporting programs, including MIPS QCDR and QR reporting methodologies preferred.
• Knowledge of data privacy regulations (e.g., HIPAA, Patient Safety Act of 2005 PSQIA, and Patient Safety Rule) is a plus.
• Prior experience working with EHRs, anesthesia information management systems (AIMS), practice management systems, and third-party healthcare vendors preferred.
• Understanding of clinical quality measures, healthcare performance measurement, and data quality management principles preferred.
• 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 preferred.
• Familiarity with AI-assisted data analysis, anomaly detection, predictive analytics, and process automation techniques in healthcare or clinical registry environments preferred.
• 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.

Benefits

• Comprehensive health, financial, and wellness benefits, including medical, dental, and vision insurance at reasonable cost.
• 401K match.
• Free fitness center access.
• Breastmilk shipping.
• CALM subscription.
• Volunteer committees and employee resource groups.

More detailed benefits information can be found at ASA Benefits.

Pay

This exempt/salaried position has a target hiring pay range of $75,000 to $95,000 annually. This position is not eligible for a yearly bonus/incentive. Compensation decisions consider relevant experience, skills, certifications, business needs, and organizational policies.

Schedule

Flexible hybrid schedule with a "dress for your day" mindset. The role primarily operates in an office environment with light noise and may require occasional lifting (10-25 lbs).