Practical guidelines for ethical implementation of Generative AI in clinical care

Executive summary

Generative AI is revolutionizing clinical decision support and clinician expertise by processing vast clinical knowledge and providing real-time learning opportunities. This integration requires ethical frameworks to ensure appropriate AI reliance, maintain clinical judgment, and preserve human elements in decision-making. This white paper presents practical guidelines for the ethical implementation of Generative AI (GAI) in clinical care in a way that’s ethical and effective. It’s all about tapping into the incredible potential of AI to transform healthcare while keeping patient safety, fairness, and high ethical standards front and centre. As healthcare increasingly integrates GAI, it is crucial to establish a framework that balances innovation with responsibility. The paper underscores the importance of a balanced approach to integrating Generative AI in clinical settings, highlighting that while AI has the potential enhance patient out-comes and operational efficiency, it must be implemented ethically to mitigate risks and uphold the integrity of healthcare. Key actions for ethical implementation of generative AI include transparently communicating GAI operations and decision-making processes to build trust, establishing clear accountability for GAI outcomes with human oversight, testing to mitigate biases and ensure equitable treatment of diverse populations. Implementing continuous monitoring and regular evaluation policies for GAI systems, along with robust governance frameworks to protect patient rights and personal information, is essential. Additionally, inter-disciplinary collaboration among clinicians, data scientists, ethicists, and policymakers is crucial for navigating the ethical complexities of healthcare delivery.

This paper is a call for balance. GAI can do amazing things, but only if we roll it out thoughtfully. Stick to these guidelines, and we can embrace the good while keeping risks in check and preserving what makes healthcare human.