At Citrus AI, safety and reliability are at the core of our AI-powered Clinic Assistant. We are committed to ensuring that our technology meets the highest standards of clinical accuracy, patient data protection, and ethical AI usage. Our approach prioritizes patient safety, clinician trust, and seamless integration into healthcare workflows.
1. Clinical Safety and Compliance
Citrus AI is designed to support clinicians by improving documentation efficiency without compromising patient care. Our platform adheres to key UK regulatory standards, including:
● DCB0129 Clinical Risk Management Standard[1] – We assess and mitigate any clinical risks associated with our AI technology.
● NHS Digital Technology Assessment Criteria (DTAC) – Citrus AI complies with DTAC requirements, ensuring our platform is clinically safe, secure, and user-friendly.
● ISO 13485 & ISO 27001 – Our adherence to internationally recognized quality management and information security standards further reinforces our commitment to safety.
2. Medical Accuracy and AI Oversight
Citrus AI’s is built with advanced machine learning and natural language processing (NLP) to ensure highly accurate transcriptions of clinical interactions. Our AI is trained on verified medical datasets and undergoes continuous updates to improve accuracy and minimize errors.
● Human-in-the-Loop (HITL) Validation: While AI enhances efficiency, human oversight remains critical. Clinicians always have the final review and approval of documentation.
● Continuous Model Improvement: Our AI is refined with feedback from real-world clinical use cases to ensure evolving accuracy and effectiveness.
● Error Monitoring and Quality Control: We implement a multi-layered quality assurance process to detect and correct potential inaccuracies in transcriptions and health record analysis.
3. Patient Data Privacy and Security
Citrus AI follows stringent data protection measures in compliance with UK privacy laws, including:
● Data Protection Act 2018 & UK GDPR Compliance – Patient information is handled with strict confidentiality and full regulatory adherence.
● End-to-End Encryption – All data transmissions are encrypted to prevent unauthorized access.
● UK-Based Data Storage – Patient data is securely hosted within the UK to comply with data sovereignty regulations.
We are registered with the Information Commissioner’s Office (ICO) and committed to transparency in data handling.
4. Ethical AI & Bias Prevention
Citrus AI is built on the principles of ethical AI development and strives to eliminate biases in medical documentation. Our system:
● Is regularly audited to ensure fair, transparent, and responsible AI use.
● Allows clinicians full control over AI-generated content, ensuring that no automated decision-making occurs without human validation.
5. Usability and Safety Testing
Citrus AI undergoes extensive usability testing with healthcare professionals to ensure seamless adoption and safety in clinical settings.
● Real-World Clinical Trials – Our platform is offered and open to NHS Hospital and Primary Care Network Healthcare Professionals due to it's versatile application for streamlining patient care workflow.
● User Training & Support – We provide training resources, onboarding sessions, and 24/7 support to ensure a smooth, safe, and effective user experience.
6. Incident Reporting & Continuous Monitoring
We maintain a robust incident reporting system to detect and resolve any safety concerns. If any potential risks are identified, our response process includes:
1. Immediate investigation and impact assessment of the reported issue.
2. Real-time updates and corrective actions to prevent recurrence.
3. Continuous software monitoring to ensure sustained platform safety.
Our Commitment to Safe AI in Healthcare
At Citrus AI, we recognize that AI in healthcare must be built on a foundation of trust, reliability, and safety. We remain committed to:
● Empowering clinicians with AI-driven documentation without compromising patient care.
● Ensuring patient data security and strict regulatory compliance.
● Advancing AI technology through continuous learning and ethical development.