HIMSS’23 saw artificial intelligence in everyone’s booths and conversations. How do we ensure this tech is deployed thoughtfully and carefully?
HIMSS’23: AI Hype Overload
read more
HIMSS’23 saw artificial intelligence in everyone’s booths and conversations. How do we ensure this tech is deployed thoughtfully and carefully?
Key Takeaways Fear of AI has given way to exuberant optimism/anticipation/impatience. Many vendors...
NLP technologies have reached an inflection point with the emergence of advanced deep machine learning methods that are on-par with humans for an ever-increasing list of core natural language skills, such as speech recognition and responding to questions. NLP is particularly well suited to address two huge problems in healthcare – easing the clinical documentation burden for clinicians and unlocking insights from unstructured data in EHRs – but there are powerful new use cases also emerging.