Note: The job is a remote job and is open to candidates in USA. mpathic is a series A start-up focused on improving healthcare through AI and psychology-based tools. They are seeking experienced healthcare systems professionals to evaluate and enhance AI models that support various clinical and administrative workflows.
Responsibilities
- Evaluate AI-generated responses for accuracy, completeness, and alignment with real-world healthcare operations
- Review scenarios involving electronic health records (EHRs), clinical documentation, care coordination, scheduling, referrals, revenue cycle, and patient access workflows
- Assess AI outputs for consistency with healthcare regulations, industry standards, and operational best practices
- Apply structured evaluation guidelines to annotate model responses and identify errors, omissions, and opportunities for improvement
- Provide clear, actionable feedback that helps improve AI performance across complex healthcare workflows
- Evaluate AI handling of interoperability, health information exchange, and healthcare data management concepts
- Bring your real-world experience to help shape safer, more trustworthy AI systems for healthcare
Skills
- 5+ years of experience working in healthcare operations, healthcare technology, health information management, clinical informatics, revenue cycle, or a related healthcare systems role
- Strong understanding of healthcare workflows across hospitals, health systems, ambulatory care, or specialty practices
- Experience working with electronic health record (EHR) platforms such as Epic, Cerner/Oracle Health, Meditech, athenahealth, or similar systems
- Familiarity with healthcare interoperability standards, including HL7, FHIR, CCD/C-CDA, or other health data exchange frameworks
- Knowledge of healthcare regulations, including HIPAA and CMS requirements, and their impact on healthcare operations
- Strong written English and the ability to communicate complex operational and technical concepts clearly
- Exceptional attention to detail and sound judgment when evaluating AI-generated content
- Experience implementing, optimizing, or administering healthcare technology systems
- Background in clinical informatics, healthcare IT, digital health, or healthcare transformation initiatives
- Experience with quality improvement, workflow optimization, or healthcare process redesign
- Familiarity with healthcare analytics, population health, or value-based care programs
- Experience supporting AI, automation, or clinical decision support technologies in healthcare settings
- Relevant certifications such as CAHIMS, CPHIMS, RHIA, RHIT, PMP, Epic certification, or equivalent
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