Physicians or scientific pharmacists overseeing the platform will be responsible for prescribing all care provided by UpDoc’s AI-driven remote patient services, as per the company’s recent announcement.
WHY IS IT SIGNIFICANT?
UpDoc’s rural patient intervention technology utilizes advanced linguistic AI models, including GPT-4 from the Azure Open AI Service by Microsoft, MedLM from Google Cloud, and Vertex AI models.
UpDoc, based in Palo Alto, California, states that the AI supervised by physicians has been validated at Stanford Medicine and effectively manages chronic conditions. The patient-oriented verbal AI is designed to enhance doctor-patient interactions, increase access to affordable high-quality care, and improve patient outcomes.
In recent collaborations, it was reported that 81% of individuals whose insulin was managed by the AI achieved glycemic control during an eight-week trial utilizing UpDoc’s RPI system, compared to 25% receiving standard care.
The AI-managed patients in the study exhibited 60% higher treatment adherence and underwent five times more dosage adjustments, requiring fewer doctor’s appointments for diabetes management.
Desi Kotis, the general store executive at UCSF Health, emphasized the significance of medication management in persistent care, particularly in underserved communities.
As a member of the Innovator’s Network for the AHA, UpDoc is collaborating with UCSF Health and the American Heart Association to explore the potential benefits of AI in healthcare management.
Dr. Sharif Vakili, CEO of UpDoc and a primary care physician at Stanford Medicine, along with other key figures, is actively involved in advancing the company’s mission.
The company’s recent funding round attracted investments from notable entities like Polaris Partners, Eli Lilly & Company, Mayo Clinic, and Oxeon.
AN EMERGING TREND
While evidence-based treatments are well-known, the utilization of intelligence in healthcare is gaining traction. Dr. Harvey Castro, a practicing ER physician and chief medical acting agent at ViTel Health, will delve into this topic at the upcoming HIMSS AI in Healthcare Forum.
Moreover, Stanford Healthcare has successfully employed machine learning models to streamline patient care and reduce medical deterioration incidents. By leveraging AI, the healthcare system can assess hospitalized patients’ risks and provide real-time predictions in electronic health records.
Dr. Shreya Shah, an educational endocrinologist and AI medical integration expert, highlighted the effectiveness of the ML model in predicting medical deterioration events and improving patient care coordination.
Microsoft’s commitment to advancing AI in healthcare aligns with UpDoc’s vision to enhance patient care through technology-enabled solutions, ultimately driving better health outcomes at reduced costs.
