Health care’s data problem: the real obstacle to AI success – RamaOnHealthcare

The Next Stop on Healthcare’s EHR Optimization Journey: AI

It’s been more than 15 years since the U.S. government passed the Health Information Technology for Economic and Clinical Health Act to incentivize healthcare organizations to adopt electronic health record systems (EHRs). Now, with the emergence of newer tools and processes, providers are looking to optimize these critical applications to streamline clinical workflows and hopefully address burnout. “There’s a tremendous amount of energy happeni…

Health care’s data problem: the real obstacle to AI success

As health care continues its digital transformation journey, a critical reality is becoming increasingly apparent to industry leaders: The success of artificial intelligence in health care hinges entirely on data quality. While the excitement around AI and its potential remains high, a sobering acknowledgment is taking center stage — even the most sophisticated algorithms cannot Read more… Health care’s data problem: the real obstacle to AI succ…

Health care’s data problem: the real obstacle to AI success – RamaOnHealthcare

As health care embraces digital transformation, one truth is clear: AI’s success depends on data quality. No matter how advanced the algorithms, poor clinical data limits their effectiveness.AI in health care: Promise meets realityThe health care technology landscape is abuzz with large language models (LLMs) and conversational AI applications that show remarkable capabilities in synthesizing [...]