The integration of clinical Artificial Intelligence (AI) has emerged as a transformative force in a domain ripe for its benefits, ranging from improved efficiency and diagnostic accuracy to improved patient outcomes, to name a few. However, the effective use of AI in these high stakes environments calls for a detailed approach, one that is guided by robust analytics to measure performance and the overall value it adds to the organization. Without an analytically sound approach to AI adoption, its usage and thus, its long term effectiveness, can be compromised.
To optimize the application of AI to clinical workflows, it’s crucial to leverage analytics effectively as a means to guide the evolution of your AI strategy. Your AI partner can help by presenting your institution’s data in three crucial areas:
Those contemplating their AI strategy are encouraged to pose critical questions to address key concerns, including but not limited to:
By asking these questions early on, facilities can better navigate the complexities of AI implementation and ensure its sustained success.
The widespread adoption and integration of clinical AI holds immense promise, but to realize its full potential, facilities are best off approaching AI analytically. By measuring the success of their AI strategy on data-driven insights, facilities can better navigate challenges, measure algorithm performance and uncover new opportunities, ultimately enhancing the delivery of care and patient outcomes in an increasingly digital age.
Click here for a deep dive on AI integration options, and why a platform approach is the key to a scalable, future-proof AI strategy.
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