RespondHealth has introduced a brand new integration with Microsoft to convey AI-powered options to the healthcare and life sciences (HLS) sectors. This collaboration integrates RespondHealth’s real-world well being information sources, together with affected person data from over 200 million People, with Microsoft Azure OpenAI Service, to assist flip complicated information into actionable insights. This distinctive providing will present HLS organisations with highly effective, new options to facilitate and speed up ongoing analysis of pharmaceutical efficacy, determine exact affected person cohorts for scientific trials, analyse market tendencies and develop efficiency optimisation methods that profit healthcare stakeholders.
RespondHealth will instantly launch its first Information Graph (KG) resolution, a GLP-1 KG integrating Azure OpenAI Service. This demonstration product, curated from a dataset of sufferers utilizing injectable GLP-1 therapies, showcases the scalability and art-of-the-possible. Along with Azure OpenAI Service, GLP-1 KG makes use of different superior Azure AI options together with massive language fashions (LLMs) to democratise information and allow scientific, medical and business groups to discover huge datasets by way of conversational, plain-language interactions. With conventional information processing complexities now self-contained inside GLP-1 KG, this user-friendly interface simplifies strong statistical evaluation and introduces neuro-symbolic reasoning to floor insights.
AI-driven innovation in real-world proof
RespondHealth’s KG resolution represents a brand new frontier in healthcare analytics. Constructed on constantly refreshed Digital Well being File (EHR) information, the platform integrates each structured and unstructured data, together with billing data, scientific notes, lab and imaging information, to ship a complete view of scientific insights. By way of a mix of machine studying and symbolic logic, the system identifies patterns, remedy pathways and sophisticated relationships inside datasets to ship deeper and extra exact analyses. By automating analytics, RespondHealth’s KGs will quickly floor insights on pharmaceutical efficacy, affected person outcomes, and remedy tendencies. The platform‘s scalability ensures that HLS organizations can combine and analyse alongside their very own numerous datasets, all by way of a handy subscription mannequin.
“Our integration with Microsoft empowers RespondHealth to ship tailor-made, AI-driven analytics that meet the precise wants of any remedy for any consumer,” stated Vicki Seyfert-Margolis, the CEO and founding father of RespondHealth. “Relatively than counting on generic, out-of-the-box fashions, we create customized instruments to sort out right this moment’s challenges and embrace future AI developments. Microsoft Azure, with its safe, scalable platform, offers the muse we have to ship these improvements at scale, driving significant progress in healthcare analytics and affected person outcomes.”
RespondHealth: Driving transformation with Microsoft
The collaboration between RespondHealth and Microsoft permits broader entry to instruments and datasets that empower healthcare stakeholders to make knowledgeable, evidence-based selections.
“RespondHealth’s integration of Azure OpenAI Service and different collocated superior Azure options demonstrates how data-driven Digital Natives can rework healthcare,” stated Jason Graefe, the company vice chairman of ISV and digital natives at Microsoft Corp. “Microsoft Azure provides a safe and scalable basis for RespondHealth to develop its analytics platform, offering insights to reinforce affected person outcomes. With developments in AI, the platform can now leverage machine studying algorithms to foretell affected person tendencies, personalise remedy plans, and enhance general healthcare administration.”
Touch upon this text through X: @IoTNow_ and go to our homepage IoT Now
