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Counterpart Health

Web-based clinical assistant for primary care

Data Analyst - Clinical Data Effectiveness

Data AnalysisConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 5 years of hands-on data analytics experience, including direct exposure to healthcare data interoperability.
  • Strong hands-on experience with healthcare data standards, including HL7, CCDA, and ADT messages.
  • Proficiency in SQL and comfort working with large, complex datasets, including claims, clinical logs, and interoperability data.
  • Background analyzing interoperability networks such as Carequality, CommonWell, or eHealthExchange, or HIE integrations.
  • Skill in data visualization and presenting complex findings to technical and non-technical stakeholders.
  • Ability to investigate causes of missing data and diverging metrics.
  • Ability to work independently and manage multiple analytical projects, including vendor comparisons and visit-level reconciliation.

Responsibilities

  • Proactively identify and monitor healthcare facilities that consistently generate high-quality, usable clinical documents, such as EHRs, discharge summaries, and procedure notes, to locate and quantify data gaps.
  • Conduct deep-dive analyses by mapping and correlating facility-specific data across structured claims, clinical care summaries (CCDAs), and ADT messages to uncover systematic patterns of missingness, latency, or incongruence in clinical records.
  • Establish and maintain transparent reporting on ADT coverage across geographic, organizational, and technological dimensions, such as county, facility, and underlying EMR system.
  • Recommend and guide implementation of optimal technical configurations for existing data vendors based on analysis of data flow and quality.
  • Evaluate potential new data integration technologies through comprehensive assessments and proof-of-concepts to determine viability, quality improvements, and strategic fit.
  • 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 to support compliant, high-quality data exchange.
  • Partner with Product Managers to define data requirements, Engineers to implement reliable pipelines, and Clinical teams to validate data quality and clinical utility.
  • Identify and remove operational and technical bottlenecks to support predictable, scalable, and reliable clinical data flow across customer markets.

Desired Qualifications

  • Experience with TEFCA/QHIN frameworks and evolving national interoperability standards.
  • Familiarity with vendor-specific data exchange platforms, including Bamboo Health, HSX, Particle Health, and Kno2.
  • Background in value-based care, population health, or clinical data operations.
  • Experience with claims-clinical data reconciliation, such as matching EOBs to clinical encounter records.
  • Comfort working with Python or similar tools for data manipulation and automation.

About the Company

Counterpart Health

Web-based clinical assistant for primary care

Counterpart Health builds a web-based tool called Counterpart Assistant that doctors use during primary care visits. The app helps physicians manage diseases more effectively, cut medical costs, and support success in value-based care. It works as a subscription-based software that clinicians access online to assist with workflow during patient visits, aiming to improve patient outcomes and reduce expenses. The company differentiates itself through its focus on value-based care and its expertise in healthcare technology, offering a scalable solution that enhances efficiency and cost management for providers and patients. Its goal is to help providers deliver better care while lowering costs under value-based payment models.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2024

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