Responsible AI & Data Governance at Strasys

At Strasys, we are committed to the ethical and responsible use of Artificial Intelligence (AI) in healthcare decision-making. Our AI-powered tools, such as the Strasys Maternity Index (SMI) and HealthBoard Analytics, support healthcare leaders in making informed, data-driven decisions. We understand the profound impact that AI can have on patient care, and we take our responsibility to act with transparency, integrity, and accountability very seriously.

This Responsible AI Policy outlines our commitment to ethical practices, transparency in AI development, and the responsible governance of AI systems within healthcare.

1. Ethical Use of AI

We recognise the ethical considerations inherent in using AI in healthcare. Our AI systems are designed to:

Support, not replace, human judgment: Our tools are intended to assist healthcare professionals, providing insights that enhance decision-making, but final decisions remain with the clinician or board member.

Prevent bias: We are committed to using representative data that reduces the risk of biased or discriminatory outcomes. Our AI models are regularly tested for fairness and equality in their outputs.

Provide equitable solutions: Our AI solutions are designed to be accessible and beneficial to all healthcare providers, ensuring that no group or demographic is unfairly disadvantaged.

2. Transparency and Explainability

At Strasys, we believe in the transparency of AI systems. We aim to provide clear, understandable explanations of how our AI models work and how their outputs are generated:

Clear and understandable explanations: We ensure that all stakeholders, including healthcare professionals, understand how AI-generated insights are derived.

Model interpretability: Our AI tools are designed to provide explanations of the patterns and features that contribute to the results, ensuring transparency for users at all levels.

3. Data Governance and Privacy

We are dedicated to maintaining the highest standards of data privacy, security, and governance. Our approach aligns with GDPR and other data protection laws:

Data security: All data used for AI models is stored securely with strict access controls. We ensure that all data is protected against unauthorised access and use.

Data minimisation: We only process data that is necessary for the specific purpose of our AI models, ensuring that we do not collect more data than required.

Informed consent: We ensure that data used for AI analysis is collected with the appropriate consent and that partners are fully informed about how their data will be used, stored, and protected.

Anonymisation: Where appropriate, we anonymise data to safeguard privacy while still maintaining the integrity of the insights generated by AI.

4. Accountability and Governance

Strasys maintains a robust governance framework to oversee the ethical use of AI in our products:

Leadership oversight: Our leadership team, including senior management, plays an active role in overseeing AI governance and ensuring compliance with ethical standards.

Dedicated accountability: Each AI tool and model has a clear point of accountability within Strasys, and we ensure that all stakeholders understand who is responsible for managing the models.

Continuous monitoring: We regularly assess the performance of our AI systems and make necessary improvements to ensure they remain accurate, fair, and compliant with evolving regulatory and ethical standards.

5. Limitations of AI

We recognise that AI, while a powerful tool, has limitations. Our tools are designed to support decision-making, not to replace human judgment:

Clear communication of limitations: We ensure that all users of our AI tools are fully aware of the limitations of AI-generated recommendations and the need for human oversight in clinical and governance decisions.

Expert review: AI outputs are reviewed by healthcare professionals before being used in decision-making, ensuring that all insights are validated by human experts.

6. Continuous Improvement

Responsible AI is a continuous journey. We are committed to the ongoing development and improvement of our AI systems:

Regular evaluation: We continuously monitor and assess our AI models to ensure that they remain accurate, effective, and compliant with the latest regulatory standards.

Adapting to new standards: We stay informed of changes in regulatory requirements and best practices for AI governance, ensuring that our systems are always in alignment with industry standards.

7. Partnering for Responsible AI

We believe that responsible AI in healthcare is achieved through collaboration and partnership. We work closely with healthcare organisations to ensure that AI solutions are deployed in ways that benefit both healthcare providers and patients. Our goal is to:

Provide transparency in AI use and its potential impact.

Foster trust by ensuring that our AI tools are used ethically and responsibly.

Collaborate closely with partners to ensure that AI is used in ways that align with their goals and regulatory requirements.

8. Conclusion

At Strasys, we are committed to building AI systems that enhance healthcare decision-making while upholding the highest standards of ethics, privacy, and transparency. This policy guides our AI practices and reflects our dedication to providing trustworthy, accountable, and responsible AI tools.

For more information about our Responsible AI Policy or to discuss how we can support your organisation with our AI solutions, please contact us today.