ICYMI: the folks at Health Data Management did an extended interview with Judy—and a host of other leaders at Epic—to discuss some of the foundational principles that make us who we are. They explore Judy’s business and leadership philosophy, Epic’s culture, our approach to customer success, and more. Check it out below.
By using generative AI to create first drafts of responses to patient messages, our friends at Mayo Clinic have saved a pilot group of nurses around 30 seconds per message. Nurses also noted the length and empathy of the generated messages—a quality of AI-generated text that researchers have noted as well. At Mayo, messages started from generated drafts tended to be longer and included more friendly, conversational language, which patients appreciate but nurses don’t always have time to include. After their initial pilot, Mayo Clinic plans to expand access to all LPNs and RNs by mid-2024. At that scale, they could save clinicians 1,500 hours per month. Released in early 2023, Augmented Response Technology (Art) is one Epic’s first tools to use OpenAI’s large language model, GPT. Congrats, folks! Read more below.
Last week, Epic joined many other organizations in Washington, D.C. to support The White House Challenge to End Hunger and Build Healthy Communities. Our commitment centers on helping providers identify the highest risk populations for food insecurity and automating interventions to connect those patients with community and health plan resources that can help. Through our suite of interoperability tools—from treatment-based interoperability, to payer connectivity, to open APIs—organizations can share patients’ social drivers of health to better coordinate care. Read more on the commitment below.
Awards like this are special because of what they represent: the success of our customers. Over the next several weeks, we’ll put the spotlight on our customers by sharing a success story for several of the categories where Epic was recognized. Look out for more from us.
After implementing Epic’s sepsis prevention model, Saint Luke's Health System reduced the time it takes to order and administer antibiotics by 32% and reduced their sepsis mortality index by 16%. From the authors of Saint Luke’s new op-ed: “Sepsis is tricky to diagnose, requiring clinicians to consider many rapidly changing factors including the patient’s medical history, vital signs, blood pressure, and more. The sepsis prevention model automatically evaluates these factors and presents actionable insights and recommendations so that clinicians know to intervene sooner.” Check out how a clinician-led implementation, a focus on nurse empowerment, and data transparency have helped Saint Luke’s succeed:
