The healthcare industry is witnessing the emergence of Gen AI with a mix of excitement and apprehension, as it promises to unlock a portion of the unrealized $1 trillion improvement potential within the sector. With a projected market size of USD 21 million by 2032 and a 35% CAGR growth over the next decade, Gen AI’s impact is expected to contribute 1.8% to 2.8% of the industry’s total revenue through increased productivity.
While healthcare businesses have utilized AI technology for years, Gen AI represents a significant advancement, capable of automating tedious operational tasks and modernizing health system infrastructure. However, integrating these models into existing analytics and AI roadmaps comes with risks, particularly regarding data security and the potential for incorrect responses.
In healthcare, where patient information is highly sensitive, maintaining data security is paramount, and human in the loop is necessary to ensure the beneficial use of Gen AI suggestions. As regulatory frameworks evolve, the responsibility for safe and ethical use will fall on users.
This eBook outlines emerging use cases for Gen AI in healthcare, with many organizations initially focusing on administrative and operational applications due to their feasibility and lower risk profiles. By carefully navigating these challenges and opportunities, healthcare executives can harness the transformative potential of Gen AI to drive efficiency and innovation in the industry.
Read this ebook on the making of a generative healthcare enterprise where we share deep insights on the potential of Gen AI, wide range of use cases and applications in the healthcare industry.
