Leading Responsible Healthcare Innovation
Creating the future with intention and responsibility
To finally transform people’s healthcare experiences, we need to dream big and innovate responsibly. Artificial intelligence will accelerate our ability to achieve our mission of making it easy for all people to access high-quality, affordable health and care. We will continue to lead the way by example, setting new standards to help guide the industry in a meaningful and sustainable way.
Our people-first culture values safety and trust
Safety in AI starts with culture and putting people first. With a focus on human-centered design, at Transcarent we learn from our clinicians and Members, integrating subject matter experts throughout the development process. We consider AI to be an enabling tool for clinicians and never a replacement.
Clinicians and benefits experts do not just test the AI; they are part of the design and build. We get ongoing Member feedback that informs new feature design and experience refinement. Our experts and users consistently and actively participate to ensure we meet strict safety guidelines, maintain the highest standards of accuracy and reliability, and stay aligned with our Members’ needs.
We carefully evaluate AI systems across our company, using rigorous methods to ensure safety, accuracy, and performance. We combine automated and human-driven approaches, including adversarial testing, to guard against potential risks like bias and malicious attacks.
Pioneering AI standards with our people
We have proactively developed a framework to set standards and establish precedents for the industry, and our internal organization, as healthcare AI innovations continue to advance.
Convening an internal AI Governance Committee
The Transcarent AI Governance Committee (AIGC) is an internal leadership group that oversees development, deployment, and our use of AI with a focus on safety, responsibility, and compliance, by providing oversight, guidance, and accountability. It remains up to date on AI compliance requirements nationally and at the state level.
Establishing AI Ethics Principles
Our AIGC has established Transcarent AI Ethics Principles, aligned with Organization for Economic Cooperation and Development (OECD) principles. These principles ensure that our team and our Members understand how our values shape expectations around how we should interact with AI and how AI should interact with us. These principles work alongside the Transcarent Code of Conduct and Ethics to set standards for privacy, security, transparency, and equitable design, ensuring people remain at the center of AI innovation.
Shaping healthcare AI policy and innovation
Member of the Data & Trust Alliance
As a member of the Data & Trusted AI Alliance (D&TAA), Transcarent collaborates with leading global companies to create transparent and trustworthy AI data standards that promote responsible use and provide real value to inform policy creation. Together, we share a conviction that the future of business will be powered by the responsible use of data and AI, including the first of its kind cross-industry data provenance standards. We believe that trust in data requires understanding its origin–where it comes from, how it was created, and whether it may be used legally. Transparency is critical.
Advocating on good policy
Policy plays a major role in the successful use of new technology, and we actively participate in forums where the future of healthcare is being decided. Here are a few recent examples of how we’re helping to influence new standards.
Transcarent signed the Voluntary Healthcare AI Commitments for Generative AI , an agreement where leading AI companies pledge to prioritize safety, security, and transparency in AI development to manage risks and protect public interests.
Transcarent was invited to participate in the Senate AI Caucus’ Health AI Demo Day on Capitol Hill on July 24, 2024.
Benjamin Nguyen, MD, Transcarent Lead Product Manager for Artificial Intelligence, testified before the House Committee on Energy & Commerce Subcommittee on Health on how AI can expand access to care, reduce physician administrative burdens, and the need for safeguards to maintain trust.
