AI policy

Introduction

This Artificial Intelligence Policy outlines ClinicalPad's approach to AI technology implementation, usage guidelines, and responsibilities. Our AI systems are designed to support healthcare professionals in documentation and administrative tasks while maintaining the highest standards of patient care and professional responsibility.

AI Technology Foundation

Core Technology

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ClinicalPad employs advanced AI technology powered by GPT-4 and GPT-4 mini models, specifically configured for healthcare documentation and administrative support. These models operate within strict parameters designed to enhance clinical workflow while maintaining professional standards and patient safety.

Development Framework

Our AI models are developed using:

• Anonymised historical medical documentation
• Publicly available medical literature
• Standard clinical terminology
• Pre-implementation clinical datasets
• Non-patient-specific medical knowledge

The system maintains consistency by not learning from or adapting to user-input data.

Service Tier Implementation

Starter Plan AI Features

• Unlimited AI-generated text documents
• Basic template access
• Standard medical terminology processing
• Custom template creation

Core Plan AI Features

• All Starter features
• AI-powered patient history generation
• Past document reference capability
• Custom template creation
• Audio transcription processing

Pro Plan AI Features

• All Core features
• Advanced team collaboration tools
• Enhanced document analytics
• Custom template creation
• Priority processing

Enterprise Plan AI Features

• All Pro features
• Custom AI implementation options
• Organisation-specific configurations
• Advanced analytics capabilities
• Custom security protocols

Scope and Limitations

Intended Applications

The AI system supports:

• Clinical documentation generation
• Administrative task management
• Practice workflow optimisation
• Documentation standardisation
• Information organisation
• Audio consultation processing
• Patient history compilation

Explicit Limitations

The AI system does not:

• Make diagnostic decisions
• Provide clinical recommendations
• Replace professional judgment
• Qualify as a medical device
• Generate medical advice
• Make treatment decisions

Professional Responsibilities

Healthcare Provider Obligations

Users must:

• Review all AI-generated content
• Maintain full professional responsibility
• Exercise independent clinical judgment
• Verify information accuracy
• Document modifications
• Ensure appropriate clinical context

Quality Assurance

Users shall:

• Verify AI-generated content against source information
• Ensure appropriate clinical context
• Confirm medical terminology accuracy
• Review for completeness
• Maintain documentation standards
• Follow subscription tier guidelines

Data Processing Framework

Data Handling Protocols

Our system:

• Processes data within local jurisdictions
• Maintains end-to-end encryption
• Operates without persistent data storage
• Complies with HIPAA/GDPR frameworks
• Preserves data sovereignty
• Adheres to tier-specific retention policies

Privacy Protection Measures

We ensure:

• No patient data used for AI training
• Strict access controls
• Regular privacy assessments
• Compliance with local laws
• Transparent processing practices
• Tier-appropriate security measures

Safety and Risk Management

Safety Protocols

• Regular AI system audits
• Performance monitoring
• Quality assurance checks
• User feedback analysis
• Continuous system improvements
• Tier-specific safety measures

Risk Mitigation Strategies

Our approach includes:

• Clear usage guidelines
• System limitation disclosure
• Regular safety assessments
• Incident reporting procedures
• Continuous monitoring
• Plan-specific risk controls

Compliance Framework

Regulatory Adherence

• Our AI system complies with:
  • UK healthcare data protection regulations
  • Industry best practices
  • Ethical AI principles

Quality Standards

We maintain:

• Regular system validation
• Performance benchmarking
• Accuracy assessments
• User satisfaction monitoring
• Professional standards alignment
• Tier-specific quality controls

Incident Management

Reporting Requirements

Users must report:

• Content inaccuracies
• System malfunctions
• Unexpected outputs
• Performance issues
• Safety concerns
• Security incidents

Response Procedures

Our team will:

• Investigate reported incidents
• Implement necessary corrections
• Provide user feedback
• Document resolution steps
• Update systems as needed
• Follow tier-specific protocols

System Improvements

Ongoing Development

We maintain:

• Regular performance reviews
• User feedback integration
• System optimisation processes
• Feature enhancement procedures
• Quality improvement initiatives
• Tier-specific enhancements

Educational Support

We provide:

• Regular training updates
• Best practice guidelines
• System capability information
• Usage optimisation guidance
• Safety awareness materials
• Plan-specific resources

Support Framework

For AI-related inquiries:

• Starter/Core: Standard support channels
• Pro: Priority support access
• Enterprise: Dedicated support team 

Email: enquiries@clinicalpad.com

Policy Updates

This policy undergoes regular review to reflect:

• Technological advancements
• Regulatory changes
• User feedback
• Industry developments
• Best practice evolution
• Subscription tier modifications