
11 - 50 employees
Founded 2021
🤖 Artificial Intelligence
🔌 API
☁️ SaaS
Artificial Intelligence • API • SaaS
mpathic is an AI-driven safety and analytics company that offers SaaS products and APIs to record, transcribe, analyze, and improve human–AI and human–human interactions in clinical, life‑science, and enterprise settings. Their offerings include speech-to-text transcription, PII redaction, behavior and checklist analytics, human-curated benchmarking datasets, red‑teaming expertise, and an Observing Agent API to add domain-informed guardrails for healthcare and medical agents. mpathic targets life sciences, clinical research organizations, healthcare providers, insurers, and HR/enterprise teams focused on empathy, safety, bias reduction, and compliance.
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11 - 50 employees
Founded 2021
🤖 Artificial Intelligence
🔌 API
☁️ SaaS
Artificial Intelligence • API • SaaS
mpathic is an AI-driven safety and analytics company that offers SaaS products and APIs to record, transcribe, analyze, and improve human–AI and human–human interactions in clinical, life‑science, and enterprise settings. Their offerings include speech-to-text transcription, PII redaction, behavior and checklist analytics, human-curated benchmarking datasets, red‑teaming expertise, and an Observing Agent API to add domain-informed guardrails for healthcare and medical agents. mpathic targets life sciences, clinical research organizations, healthcare providers, insurers, and HR/enterprise teams focused on empathy, safety, bias reduction, and compliance.
• 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.
• 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. • Nice to Have • 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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