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Background
As the inevitable transition to an “intelligent health system” accelerates, the development, implementation, and deployment of AI-powered solutions is moving at speeds uncharacteristic of healthcare. Leveraging intelligence in all aspects of healthcare management and operations is becoming essential in helping to address many of the industry’s most pressing challenges, including clinician burnout, increased complexity of care, strained resources, operational inefficiencies, and EHR-inflicted productivity drag.
The Promise
Large Language Models (LLMs) provide powerful new capabilities that can uniquely support many transformational solutions in healthcare. With LLMs, the ability to unlock the value of unstructured data is at our fingertips like never before. Proponents of Generative AI promise unprecedented improvements in productivity, personalization, and reductions in clinician burnout. The belief is that as data rapidly changes, spanning large corpuses of tokenized text, images, and audio, the LLMs will adapt, leveraging their immensely deep and complex weights to provide thoughtful, ethical, and accurate responses across a variety of use cases in near-real time.