RespondHealth, a real-world evidence clinical discovery company, is pleased to announce a new integration with Microsoft to bring AI-powered solutions to the healthcare and life sciences (HLS) sectors. This collaboration integrates RespondHealth's real-world health data sources, including patient records from over 200 million Americans, with Microsoft Azure OpenAI Service, to help turn complex data into actionable insights.
This unique offering will provide HLS organizations with powerful, new solutions to facilitate and dramatically accelerate ongoing evaluation of pharmaceutical efficacy, identify precise patient cohorts for clinical trials, analyze market trends, and develop performance optimization strategies that benefit healthcare stakeholders.
RespondHealth will immediately launch its first Knowledge Graph (KG) solution, a GLP-1 KG integrating Azure OpenAI Service. This demonstration product, curated from a dataset of patients using injectable GLP-1 therapies, showcases the scalability and art-of-the-possible. In addition to Azure OpenAI Service, GLP-1 KG leverages other advanced Azure AI solutions including large language models (LLMs) to democratize data and enable clinical, medical, and commercial teams to seamlessly explore vast datasets through conversational, plain-language interactions. With traditional data processing complexities now self-contained within GLP-1 KG, this user-friendly interface simplifies robust statistical analysis and introduces neuro-symbolic reasoning to surface insights.
AI-Driven Innovation in Real-World Evidence:
RespondHealth's KG solution represents a new frontier in healthcare analytics. Built on continuously refreshed Electronic Health Record (EHR) data, the platform integrates both structured and unstructured records, including billing records, clinical notes, lab and imaging data, to deliver a comprehensive view of clinical insights. Through a combination of machine learning and symbolic logic, the system identifies patterns, treatment pathways, and complex relationships within datasets to deliver deeper and more precise analyses. By automating analytics, RespondHealth's KGs will rapidly surface insights on pharmaceutical efficacy, patient outcomes, and treatment trends. The platform's scalability ensures that HLS organizations can seamlessly integrate and analyze alongside their own diverse datasets, all through a convenient subscription model.
"Our integration with Microsoft empowers RespondHealth to deliver tailored, AI-driven analytics that meet the specific needs of any therapy for any client," said Vicki Seyfert-Margolis, Ph.D., CEO and Founder of RespondHealth. "Rather than relying on generic, out-of-the-box models, we create custom tools to tackle today's challenges and embrace future AI advancements. Microsoft Azure, with its secure, scalable platform, provides the foundation we need to deliver these innovations at scale, driving meaningful progress in healthcare analytics and patient outcomes."
RespondHealth: Driving Transformation with Microsoft:
The collaboration between RespondHealth and Microsoft enables broader access to tools and datasets that empower healthcare stakeholders to make informed, evidence-based decisions.
"RespondHealth's integration of Azure OpenAI Service and other collocated advanced Azure solutions demonstrates how data-driven Digital Natives can transform healthcare," said Jason Graefe, Corporate Vice President of ISV & Digital Natives at Microsoft Corp. "Microsoft Azure offers a secure and scalable foundation for RespondHealth to develop its analytics platform, providing insights to enhance patient outcomes. With advancements in AI, the platform can now leverage machine learning algorithms to predict patient trends, personalize treatment plans, and improve overall healthcare management."
For more information please visit, www.respond.health
