Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information

Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information

Large language models (LLMs) are used to seek health information. Guidelines for evidence-based health communication require the presentation of the best available evidence to support informed decision-making. We investigate the prompt-dependent guideline compliance of LLMs and evaluate a minimal behavioural intervention for boosting laypeople’s prompting. Study 1 systematically varied prompt informedness, topic, and LLMs to evaluate compliance.…

From Chaos to Clarity in Data with Malinka Walaliyadde – RamaOnHealthcare

What if one of healthcare’s most complex administrative challenges—revenue cycle management—was reframed as a data science problem? In this episode, Malinka Walaliyadde, co-founder and CEO of Akasa, joins Julie Yoo to unpack how large language models (LLMs) are transforming the way hospitals get paid by automating highly nuanced coding and billing workflows. Drawing comparisons to [...]