Clinical Quality Analyst
About The Position
The Clinical Quality Analyst monitors and maintains data integrity and validity, collects and analyzes data, identifies quality improvement opportunities, and communicates findings to other departments through a feedback loop while monitoring for improvement. The role examines data storage and sharing methods, investigates patterns and trends, and converts data into clear, usable information. The analyst collaborates with internal and external teams to establish effectiveness benchmarks, analyze outcome data, and lead the interpretation, review, and communication of results. The role assesses health services using clinical decision support and information systems, recommends improvements, and supports data abstractors through training and education in data management, outcome reporting, communication of results, and external data submissions. Serving as a resource to departments, clinicians, physicians, and senior leadership, the analyst evaluates care and service systems and processes using operational, clinical, perceptual, and financial outcome data. The role applies Lean management tools to performance improvement initiatives, advises leadership on the use of quality improvement data, develops reports and presentations, and communicates analytical insights to management. The position requires knowledge of quality measures and healthcare regulations, along with proficiency in analytical tools and healthcare information systems.
Requirements
- Bachelor’s degree in healthcare administration or equivalent experience in a healthcare setting.
- Proficiency in Microsoft Office, including Excel and Word.
- Experience with EHR/EMR systems and database query tools.
- Strong verbal and written communication skills for interacting with patients, providers, and community partners.
- Ability to manage multiple tasks, prioritize effectively, and coordinate with various departments.
- Knowledge of quality measures such as HEDIS, CMS Star, Value Based Care, and other quality programs and reporting methodologies.
- Knowledge of healthcare regulations and quality improvement frameworks.
- Proficiency with data analytical tools such as SAS, SQL, Python, R, Tableau/Power BI, Microsoft Office suite, or similar applications.
Nice To Haves
- Lean Fundamental or process improvement experience.
Responsibilities
- Monitor and maintain data integrity and validity.
- Collect and analyze data, identify quality improvement opportunities, communicate findings to other departments, and monitor improvement.
- Investigate data storage and sharing methods, identify patterns and trends, and convert data into understandable information.
- Collaborate with internal and external teams to establish effectiveness benchmarks, analyze outcome data, and lead interpretation, review, and communication of results.
- Assess health services using clinical decision support and information systems and recommend improvements.
- Train and educate data abstractors in data management, outcome reporting, communicating results to clinical effectiveness teams, and external data submissions.
- Serve as a resource to departments, physicians, clinicians, and senior leadership in evaluating systems and processes of care and service using operational, clinical, perceptual, and financial outcome data.
- Use Lean management tools and processes to support performance improvement initiatives and organizational goals.
- Provide leadership with guidance and feedback on applying quality improvement data and analytical principles, concepts, and problem-solving techniques.
- Develop reports and presentations and communicate analytical insights to management.
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What This Job Offers
Job Type
Full-time
