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Impact of AI on Reducing Waste and Friction in Healthcare Administration with Joan Butters Xsolis TRANSCRIPT
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Joan Butters, CEO and Co-Founder of Xsolis works with health systems and health plans to automate medical necessity decisions and improve efficiency. Using data and AI, Xsolis helps clinicians make more informed decisions and reduces manual administrative work, resulting in time and cost savings and improved patient care. Addressing the challenges and pushback faced when introducing AI into healthcare, Joan emphasizes the importance of understanding the limitations and complexities of generative AI and the need for subject matter expertise in developing prompts to properly address friction points between providers and payers in the healthcare environment.
Joan explains, "More important to this audience are the administrative aspects and the impact of that back and forth on the cost of healthcare. We were very fortunate that we found a niche in what we were trying to solve for. Again, that was the medical necessity decision whether a patient required hospital-based care. And then, with that laser focus, we did a lot of research from both sides and found that there was a way to automate through the use of data and AI to solve some of those problems."
"There are definitely two areas that we have a direct impact on. As I said, one is the cost of healthcare—so big efficiency. If you think about what clinicians do when they're making a determination of hospital-based care, prior to Xsolis, those clinicians would be reading through multiple data points and not data points that were connected, which became a very manual process. With automation and artificial intelligence, our system allows that very costly staff to be much more efficient in making those determinations. Coupled with that, instead of clinicians doing administrative tasks, the automation we provide through AI and our technology frees the clinician to be back at the bedside with the patient."
#Xsolis #Healthcare #HealthcareAdministration #Workflow #RemovingWorkflowFriction #AI #MedicalNecessityDecisions #Clinicians
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