The article also highlights the potential of generative AI to benefit patients and clinicians, the need for shared, objective determination of medical necessity and data transparency, the importance of investing in tested, proven AI applications, and the unique cybersecurity concerns of healthtech firms operating in the AI space. It also mentions a recent report warning that generative AI and large language models will be used in various cyber attacks.
Key takeaways:
- The role of AI in healthcare is evolving, with trends to watch including EHR integration & collaboration, imaging as a litmus test, flexibility with data, AI and the prior authorization rule, avoiding volatility, thinking three steps ahead, and more resilient cybersecurity.
- Healthcare companies need to remain flexible to stay relevant while remaining rooted in their core strengths, despite the industry being notoriously slow to change.
- Regulations on the use of AI are evolving concurrently, more quickly in Europe than the U.S., and early adopters must be mindful of this.
- Healthtech firms using AI need to be thinking three steps ahead at all times, addressing concerns over data security and governance, technical maturity, and preventing biases sooner rather than later.