It’s been more than two years since ChatGPT was first released, and during that time artificial intelligence has become synonymous with generative AI. When most people discuss AI, they’re usually referring to large language models (LLMs) and related chatbots . That’s how big of an impact generative AI had across industries — as well as everyday people around the world — and healthcare is no exception.
For many healthcare organizations, AI is still a buzz phrase, but one that is attractive due to its promise to improve clinical and administrative workflows. In 2024, early adopters showcased its possibilities. This year, we expect to see more organizations dipping their toes into the generative AI space. While more healthcare leaders are considering and preparing for AI implementation , they are also pushing vendors to show the actual value their solutions provide.
In 2025, we expect healthcare organizations to have more risk tolerance for AI initiatives, which will lead to increased adoption. However, they will also be intentional about using solutions that meet a business need and bring ROI in terms of increased efficiency or cost savings.
Here are some of the ways healthcare organizations are likely to approach AI in 2025.
Click the banner below to prepare for an AI-powered future in healthcare. Which AI Solutions Will Healthcare Organizations Adopt in 2025?
Healthcare leaders are interested in AI tools that provide clear value, whether that’s a better clinician experience, reduced costs, increased administrative efficiencies or improved patient care. Here are some examples. Ambient Listening Reduces Clinical Documentation
Many organizations are already going down the AI path with ambient listening , which are machine learning-powered audio solutions. Used by physicians initially before being expanded to nurses, the voice-recognition technology listens to and analyzes patient-provider conversations in real time, then extracts the relevant information for use in clinical notes, meeting billing and coding requirements. This enables clinicians to focus on the patient rather than having to multitask to complete documentation.
A major reason that organizations are choosing ambient listening as a first step into AI is that they’ve evaluated and found clear ROI around these solutions when […]
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