Leveraging Generative Artificial Intelligence to Improve Healthcare +++

https://digital.ahrq.gov/ahrq-funded-projects/search?f%5B0%5D=technology%3A10437 Leveraging Generative Artificial Intelligence to Improve Healthcare Generative artificial intelligence (GenAI) has the potential to advance healthcare by enhancing diagnostics, personalizing treatment, and improving patient outcomes through data-driven insights. Gen AI can also help healthcare become more accessible and patient centered. Below are three examples of Digital Healthcare Research Program (DHR)-funded projects that showcase the potential of GenAI to improve shared decision-making, to integrate into primary care, and to optimize care through data-driven treatment guidelines. These projects demonstrate our commitment to producing evidence about how to safely and effectively use AI, including GenAI, as it continues to evolve in healthcare. LabGenie: A Patient-Engagement Tool to Aid Older Adults' Understanding of Lab Test Results LabGenie, a web-based patient engagement tool, has the potential to facilitate doctor-patient communication and boost engagement and shared decision-making in older adults with chronic conditions. Read about the project https://digital.ahrq.gov/ahrq-funded-projects/labgenie-patient-engagement-tool-aid-older-adults-understanding-lab-test Guiding the Safe and Effective Integration of Ambient Digital Scribes into Primary Care Developing a guide to assist healthcare organizations safely and effectively adopt ambient digital scribes (ADSs), powered by artificial intelligence (AI), may help improve physician efficiency, reduce burnout, and enhance patient-provider interactions. Read about the project https://digital.ahrq.gov/ahrq-funded-projects/guiding-safe-and-effective-integration-ambient-digital-scribes-primary-care Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models and Machine Learning Identifying when broad-spectrum antibiotics can be safely avoided in suspected sepsis has the potential to improve patient outcomes, reduce unnecessary antibiotic use, combat antibiotic resistance, and guide more precise, data-driven treatment guidelines to prevent harm and support public health. Read about the project https://digital.ahrq.gov/ahrq-funded-projects/identifying-sepsis-phenotypes-associated-antibiotic-resistant-pathogens-using