Clover Health - Data Analyst, Clinical Data Effectiveness
Requirements
• 2+ years of hands-on data analytics experience, with direct exposure to healthcare data interoperability • Strong hands-on experience with healthcare data standards: HL7, CCDA, and ADT messages. • Proficiency in SQL and comfort working with large, complex datasets (claims, clinical logs, interoperability data). • Background in analyzing interoperability networks (e.g., Carequality, CommonWell, eHealthExchange) or HIE integrations. • Skilled at data visualization and able to present complex findings to both technical and non-technical stakeholders. • Strong investigative mindset, i.e., you enjoy digging into the “why” behind missing data and diverging metrics. • Self-directed and able to manage multiple analytical projects (vendor comparisons, visit-level reconciliation) without constant supervision. • Experience with TEFCA/QHIN frameworks and evolving national interoperability standards. • Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2). • Background in value-based care, population health, or clinical data operations. • Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records). • Comfort working with Python or similar tools for data manipulation and automation.
Responsibilities
• Proactively identify and monitor which healthcare facilities consistently generate high-quality, usable clinical documents (e.g., EHRs, discharge summaries, procedure notes) to precisely locate and quantify data gaps. • Conduct deep-dive analyses by mapping and correlating facility-specific data across disparate sources like structured claims, clinical care summaries (CCDAs), and ADT messages to uncover systematic patterns of missingness, latency, • Experience with TEFCA/QHIN frameworks and evolving national interoperability standards. • Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2). • Background in value-based care, population health, or clinical data operations. • Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records). • Comfort working with Python or similar tools for data manipulation and automation. • or incongruence in clinical records. • Establish and maintain clear, transparent reporting on ADT coverage across key geographic, organizational, and technological dimensions (e.g., by county, facility, and underlying EMR system). • Based on rigorous analysis of data flow and quality, recommend and guide the implementation of optimal technical configurations for existing data vendors (e.g., Bamboo Health, PCC, Experian, HSX). • Conduct comprehensive evaluations and proof-of-concepts for potential new data integration technologies (e.g., Kno2 vs. Particle Health) to assess viability, quality improvements, and strategic fit. • Systematically determine the existence and completeness of documentation associated with specific patient visits or encounters. • Develop a data-driven framework for prioritizing facility targets for direct data acquisition, assessing impact, cost-effectiveness, and technical feasibility. • Inform and guide vendor strategy around national initiatives such as TEFCA and QHIN adoption, ensuring Counterpart Health is positioned for compliant, high-quality data exchange. • Partner cross-functionally with Product Managers to define data requirements, Engineers to implement reliable pipelines, and Clinical teams to validate data quality and clinical utility. • Act as a critical liaison to identify and remove operational and technical bottlenecks, ensuring a predictable, scalable, and reliable clinical data flow across all customer markets.
Benefits
• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities • Reimbursement for office setup expenses • Monthly cell phone & internet stipend • Remote-first culture, enabling collaboration with global teams • Paid parental leave for all new parents • Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care. • With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.
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