We’re proud to share that Giovanni Donatelli, Chief Executive Officer of The Language Group, was recently featured on the Practical AI in Healthcare podcast to discuss the evolving role of artificial intelligence in healthcare, and advancing healthcare language access with solutions like Fetch that are transforming the way organizations access and utilize data. Healthcare language access is a critical component of patient safety and equitable care. Strengthening healthcare language access requires solutions that are secure, compliant, and built directly into clinical workflows.
As CEO of The Language Group, Giovanni Donatelli leads the strategic vision and innovation efforts behind the company’s language access, technology, and AI-driven healthcare solutions. His leadership has positioned TLG at the forefront of healthcare communication and data intelligence, with a focus on improving outcomes through smarter systems and scalable technology. In this episode, Gio shares insights on healthcare data fragmentation, operational inefficiencies, and how AI can bridge critical gaps across systems.
Listen to the Episode
The Challenge: Healthcare Data Is Powerful, But Often Underutilized
Healthcare organizations generate vast amounts of structured and unstructured data every day. Clinical notes, discharge summaries, compliance documentation, EHR entries, and administrative records hold valuable insights, yet much of this data remains siloed, difficult to interpret, or time-consuming to process.
On the podcast, Gio discusses how the next phase of healthcare transformation isn’t just about collecting data, it’s about making it usable.
The patient gap and the safety gap is at the very end of discharge… the interpreter reads the discharge papers to the patient then the patient goes home… [and] they try to reference their document, that’s not their language. All of a sudden, that patient’s exposed to greater risk.
– Giovanni Donatelli, Chief Executive Officer, The Language Group
What Is Fetch?
Fetch is a patented, healthcare-focused AI-assisted translation solution designed to strengthen healthcare language access within clinical environments.
Designed to address the patient safety, compliance, and PHI risks unique to healthcare, Fetch combines AI-powered efficiency with a structured human-in-the-loop clinical review model, embedded directly into existing workflows.
Unlike general AI translation tools, Fetch is purpose-built for healthcare complexity. It delivers:
- Clinically accurate discharge translations
- Secure, HIPAA-governed handling of PHI
- Support for Section 1557, Title VI, and Joint Commission requirements
- ISO 18587-aligned post-edited machine translation standards
- SOC 2 Type II security controls
Why Healthcare Language Access Matters Now
Healthcare translation is not simply a documentation task, it is a patient safety and compliance responsibility.
AI-only translation models lack the contextual awareness, clinical judgment, and cultural nuance required for high-risk medical communication. Even minor inaccuracies in discharge instructions or medication guidance can introduce significant clinical and legal risk.
AI-powered translation tools can accelerate discharge communication. However, in regulated healthcare environments, speed alone does not eliminate liability.
If a hospital deploys AI-only translation and a discharge document is mistranslated, the legal exposure remains with the institution and the clinician. The hospital carries the malpractice risk.
Enterprise health systems are increasingly aware of this distinction. At a recent HealthImpact Summit in New York City, the CIO of UPMC, one of the nation’s largest nonprofit health systems, stated he will not engage with vendors that refuse to share liability.
Fetch addresses this challenge by embedding governance, security, and human validation directly into the translation process.
Its hybrid AI + human review approach:
- Resolves ambiguity in clinical language
- Ensures culturally appropriate phrasing
- Protects PHI under strict HIPAA governance
- Aligns with Section 1557, Title VI, and Joint Commission standards
- Integrates directly into existing healthcare workflows
The future of healthcare translation is not fully automated. It is hybrid, accountable, and workflow-integrated.
Fetch enables healthcare organizations to scale language access responsibly, improving patient understanding while strengthening compliance, operational efficiency, and trust.AI models trained for healthcare environments, Fetch helps organizations move from reactive documentation processes to proactive intelligence.
If AI is left ungoverned, organizations may not realize something is mistranslated until an adverse event happens, and by then, it’s too late.
– Giovanni Donatelli, Chief Executive Officer, The Language Group
As healthcare systems continue to adopt responsible AI, investing in scalable healthcare language access solutions will remain essential to patient safety, compliance, and equitable care delivery.
About the Practical AI in Healthcare Podcast
Practical AI in Healthcare, hosted by Dr. Steven Lapkoff and Dr. Leon Rosenblatt, explores real-world AI applications that are delivering measurable impact across healthcare. The podcast focuses on practical implementation, governance, and innovation within regulated healthcare environments.
Learn more at: https://practicalaiinhealthcare.com/
