While accuracy and reliability remain top concerns, budgets and adoption of GenAI is at an all-time high among healthcare practitioners. The 2024 Generative AI in Healthcare Survey highlights both the successes and challenges of GenAI in healthcare.
1) GenAI budgets are growing exponentially: Adoption of GenAI varies significantly across roles and company sizes. Technical leaders are at the forefront, demonstrating higher adoption rates and driving budget increases.
2) Task-specific language models reign supreme: The healthcare sector’s unique needs are driving a preference for custom-built, task-specific language models.
3) Use cases vary by technical experience and company size: GenAI’s applications in healthcare are diverse, with most common uses being answering patient questions, medical chatbots, and information extraction/data abstraction.
4) Human intervention remains necessary: Accuracy, security, and privacy are paramount when evaluating LLMs. The survey reveals that cost is the least important factor, suggesting a willingness to invest in high-quality, reliable models.