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 knowledge sources, together with affected person data from over 200 million People, with Microsoft Azure OpenAI Service, to assist flip complicated knowledge 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 giant language fashions (LLMs) to democratise knowledge and allow scientific, medical and business groups to discover huge datasets by way of conversational, plain-language interactions. With conventional knowledge processing complexities now self-contained inside GLP-1 KG, this user-friendly interface simplifies sturdy 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 repeatedly refreshed Digital Well being Document (EHR) knowledge, the platform integrates each structured and unstructured data, together with billing data, scientific notes, lab and imaging knowledge, to ship a complete view of scientific insights. Via 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 various 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 particular wants of any remedy for any consumer,” mentioned 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 as we speak’s challenges and embrace future AI developments. Microsoft Azure, with its safe, scalable platform, supplies 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 choices.
“RespondHealth’s integration of Azure OpenAI Service and different collocated superior Azure options demonstrates how data-driven Digital Natives can rework healthcare,” mentioned Jason Graefe, the company vp 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.”
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