Daniel

JSON twin: https://www.healthaidb.com/software/daniel.json

Company Name

Red Sky Health

Product URL

https://www.redskyhealth.com/red-sky-health-unveils-its-powerful-ai-platform-daniel

Company URL

https://www.redskyhealth.com

Categories

• clinical Care
• administrative Operations
• patient Facing
• diagnostic Support
• revenue Cycle
• Clinical
• Administrative
• Diagnostic
• Revenue Cycle Management
• Ai Denials Management

Summary

Daniel is an AI-driven platform by Red Sky Health that automates the analysis and resubmission of denied healthcare claims to recover lost revenue for providers.

Description

Daniel leverages machine learning and generative AI to analyze historical claims data, identify errors, and streamline the resubmission process, enabling healthcare providers to recover lost revenue efficiently. It also supports population health initiatives by recommending reimbursable procedures and identifying patients with unmet conditions.

Api Available

yes

Certifications

• FDA 510(k)
• CE/MDR
• ONC-ATCB
• ISO 13485
• ISO 9001
• ISO 14001
• ISO 45001
• ISO 50001
• ISO 22301
• ISO 27001

Company Founding

2022

Company Offices

• United States

Compliance

• HIPAA
• SOC 2 Type 1
• SOC 2 Type 2
• GDPR
• HITECH
• ISO 27001
• ISO 27018
• ISO 27032
• ISO 27035
• ISO 27040

Customers

Data Residency

US-only

Data Standards

• HL7 v2
• FHIR
• ICD-10
• CPT
• HCPCS
• LOINC
• SNOMED CT
• NCPDP
• X12
• DICOM

Deployment Model

• SaaS

Features

• Automated denial analysis
• Real-time claim correction
• Automated claim resubmission
• Machine learning-based error identification
• Generative AI for claim remediation
• Historical claims data analysis
• Denial pattern recognition
• Revenue recovery optimization
• Integration with EHR systems
• Integration with billing systems
• Integration with claims systems
• Population health improvement
• Reimbursable procedure recommendations
• Identification of unmet patient conditions
• Increased accuracy of scoring system
• Reduced manual billing workload
• Improved accounts receivable timeliness
• Enhanced claim submission accuracy
• Accelerated revenue recovery
• Improved patient care focus

Id

SW2137

Integration Partners

Integrations

• EHR systems
• Billing systems
• Claims systems

Languages Supported

• English

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

• Advanced analytics
• Custom reporting
• User role management
• Audit trail
• Data visualization
• Predictive analytics
• Payer-specific appeal generation
• Policy-aware coding
• Multi-team workflow management
• Real-time alerts

Os Platforms

• Web

Pricing Details

contact vendor

Pricing Model

subscription

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization
• Data masking
• Access controls
• Data retention policies
• Data destruction policies
• User data rights management
• Data breach notification

Product Code

SW2137

Product Name

Daniel

Ratings

Regions Available

• United States

Related Urls

• https://elion.health/products/red-sky-daniel

Release Year

2022

Security Features

• Encryption
• RBAC
• SSO/SAML
• Audit logs
• 2FA
• DLP
• IDS/IPS
• Firewalls
• VPN
• Endpoint security

Specialties

• Radiology
• Cardiology
• Orthopedics
• Neurology
• Oncology
• Pediatrics
• Dermatology
• Psychiatry
• Emergency Medicine
• Anesthesiology
• Obstetrics And Gynecology
• Pathology
• Urology
• Pulmonology
• Gastroenterology
• Endocrinology
• Rheumatology
• Infectious Disease
• Hematology
• Allergy And Immunology

Support Channels

System Requirements

Target Users

• clinicians
• nurses
• admins
• payers

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "Daniel",
  "company_name": "Red Sky Health",
  "product_url": "https://www.redskyhealth.com/red-sky-health-unveils-its-powerful-ai-platform-daniel",
  "company_url": "https://www.redskyhealth.com",
  "related_urls": [
    "https://elion.health/products/red-sky-daniel"
  ],
  "product_code": "SW2137",
  "summary": "Daniel is an AI-driven platform by Red Sky Health that automates the analysis and resubmission of denied healthcare claims to recover lost revenue for providers.",
  "description": "Daniel leverages machine learning and generative AI to analyze historical claims data, identify errors, and streamline the resubmission process, enabling healthcare providers to recover lost revenue efficiently. It also supports population health initiatives by recommending reimbursable procedures and identifying patients with unmet conditions.",
  "categories": [
    "clinical Care",
    "administrative Operations",
    "patient Facing",
    "diagnostic Support",
    "revenue Cycle",
    "Clinical",
    "Administrative",
    "Patient-facing",
    "Diagnostic",
    "Revenue Cycle Management",
    "Ai Denials Management"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "clinicians",
    "nurses",
    "admins",
    "payers"
  ],
  "specialties": [
    "Radiology",
    "Cardiology",
    "Orthopedics",
    "Neurology",
    "Oncology",
    "Pediatrics",
    "Dermatology",
    "Psychiatry",
    "Emergency Medicine",
    "Anesthesiology",
    "Obstetrics And Gynecology",
    "Pathology",
    "Urology",
    "Pulmonology",
    "Gastroenterology",
    "Endocrinology",
    "Rheumatology",
    "Infectious Disease",
    "Hematology",
    "Allergy And Immunology"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "subscription",
  "pricing_details": "contact vendor",
  "license": "commercial",
  "company_offices": [
    "United States"
  ],
  "company_founding": "2022",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Automated denial analysis",
    "Real-time claim correction",
    "Automated claim resubmission",
    "Machine learning-based error identification",
    "Generative AI for claim remediation",
    "Historical claims data analysis",
    "Denial pattern recognition",
    "Revenue recovery optimization",
    "Integration with EHR systems",
    "Integration with billing systems",
    "Integration with claims systems",
    "Population health improvement",
    "Reimbursable procedure recommendations",
    "Identification of unmet patient conditions",
    "Increased accuracy of scoring system",
    "Reduced manual billing workload",
    "Improved accounts receivable timeliness",
    "Enhanced claim submission accuracy",
    "Accelerated revenue recovery",
    "Improved patient care focus"
  ],
  "optional_modules": [
    "Advanced analytics",
    "Custom reporting",
    "User role management",
    "Audit trail",
    "Data visualization",
    "Predictive analytics",
    "Payer-specific appeal generation",
    "Policy-aware coding",
    "Multi-team workflow management",
    "Real-time alerts"
  ],
  "integrations": [
    "EHR systems",
    "Billing systems",
    "Claims systems"
  ],
  "data_standards": [
    "HL7 v2",
    "FHIR",
    "ICD-10",
    "CPT",
    "HCPCS",
    "LOINC",
    "SNOMED CT",
    "NCPDP",
    "X12",
    "DICOM"
  ],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "SOC 2 Type 1",
    "SOC 2 Type 2",
    "GDPR",
    "HITECH",
    "ISO 27001",
    "ISO 27018",
    "ISO 27032",
    "ISO 27035",
    "ISO 27040"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE/MDR",
    "ONC-ATCB",
    "ISO 13485",
    "ISO 9001",
    "ISO 14001",
    "ISO 45001",
    "ISO 50001",
    "ISO 22301",
    "ISO 27001"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "SSO/SAML",
    "Audit logs",
    "2FA",
    "DLP",
    "IDS/IPS",
    "Firewalls",
    "VPN",
    "Endpoint security"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization",
    "Data masking",
    "Access controls",
    "Data retention policies",
    "Data destruction policies",
    "User data rights management",
    "Data breach notification"
  ],
  "data_residency": "US-only",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "2022",
  "integration_partners": [],
  "id": "SW2137",
  "slug": "daniel",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/daniel.json"
  }
}