Abridge Expands AI Platform at Mayo Clinic to Enhance Patient Care
This week, Abridge made an exciting announcement regarding the broader distribution of its artificial intelligence listening-documentation platform at Mayo Clinic. Following a thorough evaluation by the health system, Abridge’s AI platform is set to revolutionize patient care at Mayo Clinic. In addition to this groundbreaking news, other organizations like Every Cure and Switchboard, MD are also leveraging Google’s machine learning models for drug repurposing and infectious disease surveillance and response.
Nurses at Mayo Clinic will now have access to Abridge’s AI ambient documentation workflow, designed in collaboration with Mayo Clinic and Epic Systems. This enterprise-wide agreement will connect around 2,000 Mayo Clinic clinicians with the AI-powered clinical documentation software, benefiting over one million patients annually. Dr. Amy Williams, Mayo Clinic’s executive dean of practice, expressed the health system’s commitment to utilizing innovative AI platforms to enhance both clinician well-being and patient-centered care.
The expansion of ambient AI technology at Mayo Clinic aims to alleviate nurses’ administrative burdens, allowing healthcare professionals to focus more on delivering personalized patient care. Dr. Shiv Rao, CEO and founder of Abridge, emphasized how this collaboration with Mayo Clinic aligns with the clinic’s dedication to adopting high-quality AI innovations in healthcare. By simplifying complex processes through generative AI, Abridge’s platform enables clinicians to prioritize patient care effectively.
Moreover, Every Cure recently announced its collaboration with Google Cloud to accelerate drug repurposing efforts using large language models (LLMs) for off-label use predictions. By leveraging Google’s infrastructure and AI technologies, Every Cure aims to discover new uses for existing drugs to address diseases lacking effective therapies. This collaboration focuses on improving prediction accuracy, validating predictions through preclinical testing, and ensuring global adoption of validated treatments.
Additionally, Switchboard, MD introduced ThreatAware, a system that utilizes natural language processing and machine learning models to detect and prioritize potential infectious disease cases. Developed with support from the Department of Health and Human Services, ThreatAware empowers clinicians to intervene promptly with at-risk patients by identifying infectious disease risks early on. This AI-driven system enables healthcare organizations to scale their response quickly and collaborate effectively with public health agencies.
In conclusion, the integration of AI technologies in healthcare settings like Mayo Clinic, Every Cure, and Switchboard, MD showcases the transformative power of artificial intelligence in improving patient care, accelerating drug discovery, and enhancing infectious disease surveillance and response. These collaborations highlight the potential of AI to revolutionize healthcare delivery and drive innovation in the industry.
Andrea Fox
Senior Editor of Healthcare IT News
Email: afox@himss.org
Healthcare IT News is a HIMSS Media publication.
