AI @ HLTH : GradientAI Apply Context to Clinical Data that Provides Sophisticated Insights to Clinical Workflows

Host Sandy Vance is behind the mic in this episode with Chris Chang, CEO and Co-Founder at GradientAI. Have any questions for Chris? Reach out via email or check out their website.

They explore why GradientAI focuses specifically on the healthcare industry and how its innovative solutions are enhancing patient care and operational efficiency. They also address common concerns surrounding AI adoption and share exciting use cases and future developments. Listen in as Sandy and Chris navigate the intersection of GradientAI and AI in healthcare, revealing the potential to reshape the future of medicine.

GradientAI enables enterprises to automate their complex data workflows using its AI-powered data-reasoning platform. They work with many integrated care providers and health tech companies to power processes across the organization, from medical note auditing to the improvement of care to patients, benefit management, claims processing, and data reconciliation. 

Enterprise AI automation in healthcare, powered by Nightingale - a domain-specific model designed specifically for healthcare.

In this episode, they talk about:

• Why GradientAI Focuses on Healthcare and the Benefits of AI in Healthcare
• How GradientAI Helps the Healthcare Industry
• Pros and Cons of Workflow Tools That Limit Information in Healthcare
• The Transformative Technology of AI in the Healthcare Industry
• Use Cases, Trials, and Development of AI in Healthcare
• Addressing Concerns of Those Wary About AI in Healthcare
• The Future of GradientAI and AI in Healthcare

A Little About Chris:

Chris is the Co-Founder and CEO at Gradient, who most recently led Studio AI at Netflix and was an architect of early domain expert LLMs for content production and intelligence. Prior to joining Netflix, Chris held a variety of leadership roles at Pinterest, Opendoor, and Meta. Chris started his career in finance and holds a dual bachelor's degree in computer science and business and a master's degree in computer science from UPenn.