March 11, 2025
AI in Healthcare 2025: Trends, Adoption, and the Evolving Regulatory Landscape
As artificial intelligence (AI) continues to evolve, healthcare organizations are increasingly exploring its potential to enhance both clinical and administrative workflows.
In an article published in January 2025 in HealthTech Magazine, the authors give an overview of 2025 AI trends they expect to see in healthcare over the coming year. The article suggests AI adoption will grow, with a focus on tools that deliver tangible value, such as:
- Ambient listening technology for clinical documentation, and
- machine vision (adding cameras, sensors and microphones) for patient monitoring.
Generative AI solutions (AI that creates new content such as images and text), particularly those utilizing retrieval-augmented generation (RAG), are gaining traction as organizations seek to use chatbots that can access an organization’s information more accurately than in the past. Additionally, the article emphasizes the importance of data governance and IT infrastructure so that they can understand its own data and make it easier for IT teams to know how a solution will work in the organization’s environment. While AI presents transformative opportunities, its successful implementation depends on balancing innovation with regulatory compliance and strategic investment in technologies that address real-world challenges in patient care and operational efficiency.
With increased adoption comes greater scrutiny, prompting a rise in AI-related regulations. The healthcare sector is already seeing regulatory developments such as the Office of the National Coordinator for Health Information Technology’s HTI-1 Final Rule, which governs health data and interoperability.
Additionally, organizations are seeking guidance on AI governance to mitigate risks and ensure responsible use. These concerns have driven recent legislative efforts at both the federal and state levels to regulate AI in healthcare. Legislation we have already seen on the federal level include S. 501, which would require the Department of Health and Human Services to develop strategies to address AI-related public health threats, while H.R. 193 directs guidance on Medicare payments for AI-powered devices like continuous glucose monitors.
State legislatures are also taking action. Examples include Connecticut’s SB 10 and Montana’s HB 556 ensuring AI cannot replace clinical judgment in insurance determinations, and Maryland’s HB 1240 prohibiting AI tools that prioritize cost savings over patient care quality. These measures reflect a growing push to balance AI’s potential benefits with safeguards that maintain ethical and patient-centered healthcare.
For more information, read the full HealthTech Magazine article.
