Healthcare organizations worldwide are increasingly relying on artificial intelligence (AI) to enhance patient care and streamline their operations. An important component of this transition is language translation; from annual enrollment documents to claims letters to presentations. In this article, we will explore how CQ fluency is navigating the intersection of language translation, healthcare, and AI, addressing the recent voluntary commitment of 28 healthcare organizations to utilize “safe, secure, and trustworthy” AI solutions.
a pledge to prioritize ethical AI use
The White House Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence emphasizes that Artificial intelligence (AI) holds extraordinary potential for both promise and peril. The recent commitment of 28 healthcare organizations to exclusively use “safe, secure, and trustworthy” artificial intelligence products signals a shift in how healthcare providers view their own role in a digital age. They have pledged to align their AI use with the “FAVES” principles, ensuring that all their AI applications are used to ensure Fair, Appropriate, Valid, Effective, and Safe results. This commitment is a response to concerns surrounding AI, such as inherent biases and patient privacy risks. Central to this pledge is the promise to keep patients informed whenever any written content —including translated documents — relevant to their care has been generated by AI, emphasizing transparency and trust in their communication. Furthermore, the signatories have embraced a forward-thinking approach, agreeing to adhere to a robust risk management framework. This framework specifically applies to applications powered by foundation models or systems built on extensive datasets. By incorporating these principles, the organizations demonstrate a dedication not only to the ethical use of AI but also to the establishment of a risk-aware environment. For CQ fluency — a language translation company serving many of these organizations — this commitment reinforces the importance of maintaining ethical standards when developing and implementing AI solutions. Rooted in principles such as cultural relevance, linguistic quality, and data security, CQ fluency continues to guide its clients in safe and efficient AI integration, complying with the newly established standards.
balancing act: CQ fluency’s stance on AI in healthcare
CQ fluency recognizes the benefits of incorporating AI into translation processes, emphasizing cost efficiencies, speed, scalability, consistency, and quality assurance. However, this includes factoring in the concerns surrounding AI, such as lack of control, unintended consequences, ethical dilemmas, security risks, and privacy concerns. The key lies in achieving a sustainable balance. It involves finding a partner who truly understands the pros and cons — ensuring that advantages are harnessed while risks are mitigated.
The integration of AI into the translation ecosystem helps healthcare providers automate repetitive tasks, allowing teams to focus more on strategic and creative pursuits. CQ fluency underscores the importance of AI literacy for clients, enabling them to make informed decisions, drive innovation, and remain competitive. The company’s commitment to a risk management process in implementing technology — particularly in regulated industries — exemplifies a thoughtful and measured approach to AI adoption. Some of the key points to address in AI translation risk management include:
- data privacy and security with strong encryption protocols, compliance with HIPAA regulations, and regular audits
- quality assurance with AI models trained on industry-specific healthcare terminology, with a strong human validation process and regular updates based on feedback
- cultural relevance with subject matter expert linguists reviewing for cultural nuances and biases and conduct regular audits for biased outputs
- compliance by leveraging the latest legal and ethical guidance to comply with evolving healthcare standards
- training staff and users on the capabilities and limitations of AI
- feedback loop to continuously improve the translation model with collaboration across all stakeholders
leveraging data
Statistics reveal a staggering 3.6 billion medical images produced by hospitals worldwide annually, emphasizing the challenge of analyzing and interpreting this vast amount of data. The use of AI enables healthcare professionals to expedite analysis and deliver early interventions at an unprecedented scale. The fusion of AI with electronic health records (EHR) data further amplifies its impact, as evidenced by algorithms predicting biopsy malignancy and distinguishing between normal and abnormal screening results. Beyond imaging, statistics show the critical role of patient engagement — highlighting the nuanced interventions facilitated by AI, such as messaging alerts, to bridge the gap between care plans and patient compliance. While these tools could reduce administrative burdens, they still require human oversight, guardrails, and transparency to address inappropriate uses, how the tool is maintained, and potential bias/inaccuracies.
pioneering ethical AI integration in healthcare translation
In the wake of the commitment by 28 healthcare organizations to prioritize ethical AI applications in their operations, the trajectory of healthcare translation has taken a turn towards responsible innovation. This pledge aligns with CQ fluency’s dedication to balancing the advantages and risks of AI, ensuring cultural relevance, linguistic quality, and transparency for all parties involved.