Oscar Health has chosen to publicly share its AI prototypes, providing insights into its use of artificial intelligence in healthcare. The company’s research focuses on large-language AI models and their potential applications, including campaign builders, claims assistants, chat assistants, and AI summarizers. By sharing their findings, Oscar Health aims to promote transparency, collaboration, and innovation in the industry. Mario Schlosser, President of Technology, believes that the unique position of insurers in managing healthcare finances makes AI a valuable tool for tasks such as explaining claims logic and simplifying specialist searches.
Oscar Health has chosen to publicly share its AI prototypes, offering insights into how the company utilizes artificial intelligence. In a bid to promote transparency and foster collaboration, the company has released research findings on large-language AI models and their potential applications within the healthcare sector. Oscar Health’s President of Technology and founder, Mario Schlosser, emphasized the importance of sharing this work, stating in a tweet on June 28, “AI research progresses rapidly, making it impractical for companies to conduct this work behind closed doors. Thus, we are sharing our findings for others to read and provide feedback.”
Oscar Health envisions several possible applications for AI within its operations, including:
1. Campaign builders: AI models could assess whether members would benefit from specific programs such as maternity care, facilitating targeted enrollment efforts.
2. Claims assistant: AI technology can analyze and break down claim payment processes, enabling Oscar staff to assist members and healthcare providers more effectively.
3. Chat assistant: Oscar Health aims to employ AI-powered chatbots to support insurance brokers in their interactions with customers.
4. AI summarizer: The company is exploring the use of AI to document and summarize conversations between Oscar’s medical team and patients.
Speaking on Twitter, Mr. Schlosser noted, “Insurers have a unique perspective as they oversee the financial aspect of healthcare. Large-language models are particularly effective in scenarios that involve structured and unstructured data, and the healthcare industry is abundant in both. Consequently, explaining claims logic, simplifying specialist search, generating system configuration code, and streamlining software libraries are all within the scope of our endeavors.”
