JSON twin: https://www.healthaidb.com/software/latent.json
Latent
Clinical-AI platform that automates and accelerates pharmacy prior authorization, appeals, and 340B eligibility workflows for health systems and specialty pharmacies.
Latent Health uses clinical reasoning and generative AI to search EHRs and external evidence (PubMed, guidelines) to populate PA answers, draft appeal letters, assess medical-benefit eligibility (e.g., NCCN), and audit 340B claims; deployed to integrate with health system pharmacy workflows and specialty pharmacies to reduce time-to-therapy.
unknown
2022
P0917
2025-09-07
commercial/proprietary
Contact vendor for pricing, enterprise contracts and implementation pricing; demos and calls available.
enterprise_quote
2022
product
1.0
{ "company_name": "Latent", "company_url": "https://latenthealth.com/", "company_offices": [ "United States" ], "company_founding": "2022", "product_url": "https://latenthealth.com/", "categories": [ "administrative", "prior-authorization", "ai-prior-authorization-for-providers", "revenue-cycle-management", "clinical", "patient-access" ], "market_segment": [ "enterprise", "health system", "specialty pharmacy" ], "links": [ "https://latenthealth.com/", "https://latenthealth.com/about", "https://latenthealth.com/partners", "https://security.latenthealth.com/", "https://elion.health/products/latent", "https://showroom.epic.com/Listing?id=2852", "https://news.ochsner.org/news-releases/ochsner-health-partners-with-latent-health-to-accelerate-ai-driven-medication-access/", "https://medcitynews.com/2025/07/ochsner-ai-healthcare-pharmacy/", "https://www.linkedin.com/company/latent-health/" ], "summary": "Clinical-AI platform that automates and accelerates pharmacy prior authorization, appeals, and 340B eligibility workflows for health systems and specialty pharmacies.", "description": "Latent Health uses clinical reasoning and generative AI to search EHRs and external evidence (PubMed, guidelines) to populate PA answers, draft appeal letters, assess medical-benefit eligibility (e.g., NCCN), and audit 340B claims; deployed to integrate with health system pharmacy workflows and specialty pharmacies to reduce time-to-therapy.", "target_users": [ "pharmacists", "specialty pharmacy teams", "clinical pharmacists", "physicians/clinicians", "care coordinators", "health system admins", "population health teams" ], "specialties": [ "pharmacy", "specialty pharmacy", "oncology", "infusion therapies", "medication access/affordability" ], "regions_available": [ "United States" ], "languages_supported": [ "English" ], "pricing_model": "enterprise_quote", "pricing_details": "Contact vendor for pricing, enterprise contracts and implementation pricing; demos and calls available.", "license": "commercial/proprietary", "deployment_model": [ "SaaS" ], "os_platforms": [ "Web" ], "features": [ "Clinical AI for prior authorization (specialty pharmacy PA)", "Medical benefit prior authorization evaluation (NCCN/guideline checks)", "Generative AI appeal letter drafting using patient record and literature", "Automated 340B eligibility identification and audit support", "EHR data ingestion and clinical reasoning across patient records", "Evidence retrieval from PubMed and clinical literature", "Workflow orchestration to reduce PA turnaround time", "Searchable clinical knowledge / Ask Latent capability", "Reporting and analytics for medication access programs", "Integration support across pharmacy ecosystem" ], "optional_modules": [], "integrations": [ "Yale New Haven Health (customer/partner)", "Ochsner Health (customer/partner)", "MetroHealth (customer/partner)", "UCI (customer/partner)", "OSU Wexner Medical Center (customer/partner)", "Any EHR (native integrations / EHR connectors)" ], "data_standards": [ "FHIR", "HL7 v2" ], "api_available": "unknown", "system_requirements": "", "compliance": [ "HIPAA" ], "certifications": [], "security_features": [ "Encryption (in transit and at rest)", "Role-based access control (RBAC)", "Audit logging" ], "privacy_features": [ "Business Associate Agreement (BAA) available" ], "data_residency": "", "customers": [ "MetroHealth", "Ochsner Health", "Yale New Haven Health" ], "user_reviews": [], "ratings": [], "support_channels": [], "training_options": [], "release_year": "2022", "integration_partners": [ "MetroHealth", "Ochsner Health", "Yale New Haven Health" ], "id": "P0917", "slug": "latent", "type": "product", "version": "1.0", "last_updated": "2025-09-07", "links_json": { "self": "https://www.healthaidb.com/software/latent.json" } }