Offered.ai · 2 days ago
Metrics Specialist
Wonder how qualified you are to the job?
Artificial Intelligence (AI)Career Planning
Insider Connection @Offered.ai
Responsibilities
Data Sourcing and Integration: Collect, calculate, analyze and integrate data from diverse sources, standardized and non-standardized datasets such as EHR, MDS, OASIS, and claims. Ensure data accuracy, completeness, and reliability for quality measurement and analysis.
Quality Measure Coding: Develop and implement algorithms and methodologies to code quality measures across different data sources. Collaborate with cross-functional teams to standardize coding practices and ensure consistency in measurement methodologies.
Quality Measure Analysis and Interpretation: Perform advanced statistical analyses to evaluate healthcare quality measures and identify trends, patterns, and variations. Interpret findings to inform decision-making processes and quality improvement initiatives.
NCQA Certification for HEDIS Measures: Manage the process of NCQA certification for HEDIS measures, including data collection, submission, and validation. Ensure compliance with NCQA standards and requirements for quality measurement and reporting.
Performance Monitoring and Reporting: Develop dashboards, reports, and visualizations to monitor performance against quality measures and benchmarks. Communicate insights and recommendations to stakeholders, including executive leadership, regulatory agencies, and healthcare providers.
Continuous Improvement and Innovation: Stay abreast of industry trends, best practices, and regulatory changes related to healthcare quality measurement. Identify opportunities for process improvement, automation, and innovation in quality measurement and analytics.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Bachelor's or Master's degree in Health Informatics, Statistics, Public Health, Epidemiology, or a related field
2+ years of relevant experience
Strong understanding of healthcare quality measures, including NCQA HEDIS measures, measures derived from EHR and other standardized datasets, administrative data, and public health databases
Understanding of quality measurement standards, regulations, and accreditation requirements, including NCQA, CMS, and other regulatory bodies
Experience ensuring compliance with quality reporting guidelines and certification criteria
Proficiency in data manipulation, analysis, and visualization using tools such as SQL, Python, R, SAS, or similar
Experience working with healthcare data sets and familiarity with data integration techniques and methodologies
Experience in analyzing diverse data sets to derive meaningful insights
Excellent analytical and problem-solving skills, with a demonstrated ability to derive actionable insights from complex data sets
Effective communication skills, with the ability to convey technical concepts to non-technical stakeholders
Detail-oriented with a commitment to data accuracy, integrity, and compliance with regulatory requirements
Commitment to staying updated on emerging trends, technologies, and best practices in healthcare quality measurement and analytics
Preferred
Certification in Healthcare Quality (e.g., Certified Professional in Healthcare Quality - CPHQ)
Experience with Value-Based Purchasing (VBP) programs and alternative payment models (APMs)
Familiarity with healthcare regulatory requirements, including NCQA accreditation standards and CMS quality reporting programs
Experience working in a healthcare analytics or quality improvement role within a healthcare organization or consulting firm
Spreadsheet Software: Microsoft Excel
Database Query Language: SQL
Statistical Software: SAS, R, Python
Data Visualization Tools: Tableau, Power BI, ggplot2 (in R)
Programming Languages: Python, R
Database Management Systems: MySQL, PostgreSQL
Data Cleaning Tools: OpenRefine, Trifacta
Version Control Systems: Git
Web Analytics Tools: Google Analytics
Machine Learning Frameworks: TensorFlow, scikit-learn
Business Intelligence Tools: Looker, Mode Analytics
Benefits
Work-From-Anywhere
Unlimited PTO
Comprehensive Benefits Package
Employee Resource Groups
Casual Dress Code
Prioritized Employee Wellness
Diversity And Inclusion
A Voice
New Hire Support
Career Development
Educational Assistance
Employee Referral Bonus
Progressive Parental Leave
Company
Offered.ai
Elevate your job search with the latest AI technology and expert recruiter support