Pangaea Data builds novel AI with Azure to foster collaboration and improve patient outcomes while saving UK NHS £1 billion
UK-based Pangaea Data's product platform combines artificial intelligence (AI) and medical guidelines to characterize patients across 7,000 hard-to-diagnose conditions. When the Pangaea Data team determined they needed a cloud-based platform that could meet the rigorous security and privacy requirements of the healthcare industry, they turned to Azure AI Technology and Services for a solution. Read this customer success story for details on how Pangaea and Microsoft worked together to improve outcomes, save billions, and expand patient reach. Contact Imperitiv Solutions LLC to discuss deploying Azure's AI cloud-based platform in your healthcare system.
What is Pangaea Data's product platform?
Pangaea Data's product platform integrates artificial intelligence (AI) with medical guidelines to help characterize patients across 7,000 hard-to-diagnose conditions. It mimics the manual review process used by clinicians, analyzing the entire patient record without transacting patient data. This allows healthcare professionals to identify undiagnosed, misdiagnosed, and miscoded patients for better monitoring, screening, therapies, and clinical trials, ultimately improving patient outcomes.
How does Pangaea Data ensure patient privacy?
Pangaea Data prioritizes patient privacy by deploying its platform behind the firewall of healthcare providers, ensuring that no patient data is moved or accessed improperly. They utilize Microsoft Azure for development and compliance, along with Microsoft Defender for Cloud to meet security requirements. Patient information is only accessible to treating clinicians, who can review undiagnosed and miscoded patients through a secure user interface.
What impact has Pangaea Data had on the NHS?
In collaboration with the NHS, Pangaea Data's platform identified 294 cachectic cancer patients, significantly more than the 41 identified through traditional methods. This early detection helped reduce treatment costs by 50%, from £10,000 to £5,000 per patient, leading to an estimated annual savings of £1 billion for the NHS by addressing the 200,000 patients who go undiagnosed each year in the UK.
Pangaea Data builds novel AI with Azure to foster collaboration and improve patient outcomes while saving UK NHS £1 billion
published by Imperitiv Solutions LLC
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