This article, written by Kieron Allen, analyst at Acceleration Economy and edited by Workday Staff Writers, is republished with permission.
Healthcare providers are under increasing pressure to modernize their data and tech infrastructure. Faced with stringent patient privacy regulations, complex workforce needs, and growing expectations around patient-centered care, healthcare leaders need to move away from slow and outdated systems.
The good news: cloud applications are transforming healthcare organizations. The cloud is helping organizations accelerate the standard of patient care and optimize operations across finance, human resources, planning, and supply chain.
Bob Evans, founder of Cloud Wars, spoke with John Kravitz, vice president and head of healthcare at Workday, about how Workday is a leader in providing transformative technology for healthcare organizations. Kravitz began the conversation by explaining how Workday is using powerful new technologies, including AI and machine learning (ML), to provide customers with better outcomes.
This article contains some of the key points from the conversation with Evans and Kravitz and the corresponding article “How Workday Applies AI and ML Technologies to Healthcare Industry | Workday’s John Kravitz on Innovation Agenda.” Learn more by streaming the full conversation.
“Artificial intelligence and machine learning help fulfill the promise of patient-centered care by learning from past patient records,” said Kravitz. “Already, we have seen AI and ML applied to help with diagnosis, to help with automation, to help guide our care recommendations, and so much more. And, we’re seeing tools like ambient voice, which listens to the clinician, documents the care delivered, places orders, and reviews results with the patient all while taking the clinician’s hand off the keyboard for the most part.”
Kravitz explained how Workday helps providers deliver on the promise of patient-centered care, citing the company’s work on the patient-centered supply chain—providing patient supplies required for surgical procedures in the acute care environment.
“With Workday Supply Chain Management, we see machine learning playing a role that’s really important to get the right supplies for elective surgeries and patients that are in patient-centered medical homes,” said Kravitz. “We don’t want to take people out of the equation. We want to support the work that people do and personalize the experience for each user, ensuring they get in and find what they need, complete the task, and then return to patient care.”