Layanan kesehatan

Oatmeal Health

Oatmeal Health is an AI-enabled, value-based lung cancer screening service. We are fundamentally changing the lives of underserved patients through early identification, engagement, and comprehensive high-touch virtual care.

Tayangan 32,5K
Kunjungan bulanan 32,5K
Peringkat global --
Suara 0

Tentang alat ini

Main Features & Services: Oatmeal Health is a comprehensive AI-powered Virtual Lung Nodule Clinic designed for early detection. The platform uses AI to identify and screen high-risk patients for early cancer detection + diagnosis, starting with lung cancer for primary care, hospitals, and imaging centers. It integrates directly with PACS or existing CADe solutions; no additional software required.

Core Advantages & Features:

  1. First CPT-Reimbursable AI Platform: For lung cancer screening + diagnosis.
  2. Fewer False Positives: AI overreads low-dose Lung CT scans to identify malignancy risk faster.
  3. Zero-Cost Solution: Offers a shared-revenue model that is fully reimbursable by Medicare, Medicaid, and most commercial payors.
  4. Seamless Integration: Integrates directly with PACS or existing CADe solutions with no additional software required.
  5. Improves Outcomes for Underserved Patients: Designed specifically for the most underserved patients of Community Health Centers and Health Systems.

Target Users:

  1. Community Health Centers (FQHCs): Addresses under-resourced, understaffed, and overwhelmed challenges.
  2. Imaging Centers: Provides CPT-reimbursable AI tools to improve diagnostic yield.
  3. Health Systems / Hospitals.
  4. Primary Care.
  5. Pharma / Medtech / Biotech: Collaborates to tackle complex healthcare challenges nationwide.

Problems Addressed & Current State:

  1. The U.S. is failing at cancer screening and early detection; lung cancer kills more than colon, breast, and prostate cancer combined, accounting for 27% of all cancer deaths.
  2. Low Screening Rates: Fewer than 16% of eligible patients receive lung cancer screening, dropping below 6% at FQHCs.
  3. Late-Stage Diagnoses Dominate: 85% of lung cancer cases are detected too late for effective intervention.
  4. Limited Uptake of Billable AI: Imaging centers lack CPT-reimbursable AI tools to improve diagnostic yield.
  5. Access Gaps Are Widening: FQHCs and rural health systems are under-resourced, understaffed, and overwhelmed.
  6. Financially Devastating: Failing to detect lung cancer early results in over $150 billion in annual healthcare spending.

Pricing Model: Shared-revenue, zero-cost solution that is fully reimbursable by Medicare, Medicaid, and most commercial payors.

Analisis traffic

Sinyal lalu lintas, peringkat, dan interaksi untuk alat ini.

Belum ada data analitik

Pratinjau antarmuka

Ulasan pengguna