By Tharun Kumar Nallamothu – Healthcare organizations are investing heavily in artificial intelligence, but in practice, only a small number of systems make it past the initial rollout and actually get used at scale. The gap isn’t coming from a lack of innovation. If anything, the pace of model improvement has been impressive.
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The thought leaders in our community are good about sharing their thoughts on the issues of today. Here are the top read and shared guest posts of June that we think deserve sharing again.
By Tharun Kumar Nallamothu – Lessons from Real Clinical Environments – Artificial intelligence in healthcare has reached a point where technical capabilities are no longer the primary limitation. Models can transcribe clinical conversations, extract insights, and support decision-making with increasing accuracy.
By Tharun Kumar Nallamothu – Artificial intelligence has emerged as a transformative force in healthcare, with applications ranging from clinical documentation and decision support to predictive analytics and patient engagement. Despite rapid advancements in machine learning models, many healthcare organizations continue to struggle with translating AI innovation into measurable outcomes in real-world clinical settings.