The piece also mentions a 2022 report by Elsevier, which found that 69% of doctors and nurses surveyed felt overwhelmed with the current volume of patient data. It also cites a study by McKinsey and Harvard researchers, which found that the healthcare industry could save up to $360 billion annually in the U.S. once AI is widely adopted. Porter concludes by expressing hope that paper records in healthcare will be a thing of the past in a year's time, replaced by a world that connects data in a way that better serves everyone's health.
Key takeaways:
- The current state of global health data is disorganized and disconnected, similar to a messy desk, which results in many health providers and patients losing out on the benefits of their own information.
- Artificial intelligence (AI) and large language models (LLMs) like ChatGPT have the potential to cut through the mountainous data in healthcare and improve productivity and efficiency, but only 6% of health system executives reported having an AI strategy for their organization.
- Cleveland Clinic has been utilizing AI through IBM’s Watson to provide physicians with a more efficient treatment experience, demonstrating the potential benefits of AI in healthcare.
- Implementing AI in healthcare is not a small project and requires careful consideration of current data management challenges, potentially requiring the assistance of knowledgeable advisors. The shift towards "data lakes" that can ingest any type of data and offer greater adaptability is a key part of this process.