Molly F McGuire, Emma Ortega, Radha Patel, Valerie A Paz-Soldán, Amy R Riley-Powell
Seeking information and services associated with reproductive health among rural Peruvian young adults: exploratory qualitative research from Amazonas, Peru
Reproductive health
artificial intelligence ai specifically large language models llms holds significant potential revolutionizing emergency care delivery optimizing clinical workflows enhancing quality decisionmaking although enthusiasm integrating llms emergency medicine em growing existing literature characterized disparate collection individual studies conceptual analyses preliminary implementations given complexities gaps understanding cohesive framework needed comprehend existing body knowledge application llms em given absence comprehensive framework exploring roles llms em scoping review aims systematically map existing literature llms potential applications within em identify directions future research addressing gap allow informed advancements field using prismascr preferred reporting items systematic reviews metaanalyses extension scoping reviews criteria searched ovid medline embase web science google scholar papers published january 2018 august 2023 discussed llms use em excluded forms ai total 1994 unique titles abstracts screened fulltext paper independently reviewed 2 authors data abstracted independently 5 authors performed collaborative quantitative qualitative synthesis data total 43 papers included studies predominantly 2022 2023 conducted united states china uncovered four major themes 1 clinical decisionmaking support highlighted pivotal area llms playing substantial role enhancing patient care notably application realtime triage allowing early recognition patient urgency 2 efficiency workflow information management demonstrated capacity llms significantly boost operational efficiency particularly automation patient record synthesis could reduce administrative burden enhance patientcentric care 3 risks ethics transparency identified areas concern especially regarding reliability llms outputs specific studies highlighted challenges ensuring unbiased decisionmaking amidst potentially flawed training data sets stressing importance thorough validation ethical oversight 4 education communication possibilities included llms capacity enrich medical training using simulated patient interactions enhance communication skills llms potential fundamentally transform em enhancing clinical decisionmaking optimizing workflows improving patient outcomes review sets stage future advancements identifying key research areas prospective validation llm applications establishing standards responsible use understanding provider patient perceptions improving physicians ai literacy effective integration llms em require collaborative efforts thorough evaluation ensure technologies safely effectively applied