In a 2020 Optum survey, more than half of executives at hospitals, life sciences companies, health plans, and employer organizations said that they were planning to accelerate or expand their AI and analytics deployment timelines. But it might also be perceived as a response to the increasing demand for digital health care technologies in light of the pandemic. Azure Health Data Services creates that strong cloud foundation for big data, which makes true, deep AI and machine learning possible.” Enduring challengesĪzure Health Data Services - and, by extension, Cloud for Healthcare - is in many ways Microsoft’s answer to the Google Cloud Healthcare API, albeit more holistic. We know firsthand from our customers and partners that it is very complicated to capture insights and ready data for AI and machine learning without a foundation of data standardization and secure pipelines built for personal health information in the cloud. “The possibilities for AI and machine learning are what make Azure Health Data Services so exciting - the reality of having organized data in open-source formats along with tools that can quickly anonymize that data and have it ready for analytics, AI, and machine learning – that changes the game for data science. Meanwhile, clinical review teams could leverage Azure Health Data Services to study how many patients over a specific age had a particular symptom while using a given drug. A physician could query an MRI and show a patient’s medical history next to it, or analyze data collected from a wearable device, like a smartwatch, to see if a patient is trending toward an unhealth lifestyle. … Azure Health Data Services is purpose-built for personal health information - taking into consideration how data needs to be brought together from disparate sources, while still maintaining compliance boundaries and the privacy of the patients.”Ĭartwright gave examples of how customers might use Azure Health Data Services at the point of care. “This not only wastes valuable time on data processing, but also means that the data is unusable for analysis and AI and machine learning at scale. For most providers, 50% to 90% of their data is siloed, limiting advances in medical treatments and breakthroughs while maintaining regulation compliance,” Cartwright added. “One of the biggest challenges facing the health industry is the sheer volume of data it produces, which is too often unstructured and inaccessible. Using the new product as a part of Cloud for Healthcare, organizations can manage, anonymize, transform, and view health data across different parameters. The goal of Azure Health Data Services is to help organizations discover insights by bringing disparate data together and connecting it with tools for machine learning, analytics, and AI, according to Microsoft VP of health and life sciences Heather Cartwright. The good news is that silos of data are a pain point that cloud technology can solve, and as the health industry begins to expand in the cloud, how you bring data into the cloud makes a big difference. Our industry continually seeks ‘interoperability,’ but in reality, health organizations are using disconnected data points to make ad hoc solutions work while larger data sets continue to sit in silos. In addition, it is unique from other industries - in its challenges, in the way its data needs to be handled, and in its objectives. “Health care organizations generate a tremendous amount of data every second. “We built Azure Health Data Services to address the industry’s distinctive needs to deliver better insights and care,” Cartwright told VentureBeat via email. Another recent poll found that most health organizations don’t trust their data, with 80% telling health tech company InterSystems that they lack trustworthy and interoperable data - even though it’s fundamental to make clinical decisions. According to a 2019 survey from the Society of Actuaries, only 60% of health care executives are using predictive analytics within their practices, despite the technology’s potential to cut costs and improve patient satisfaction. The launch comes as many health providers struggle to manage - and make use of - data across their organizations. In an expansion of the original vision, the company will later this month announce Azure Health Data Services, which aims to bring in data from clinical, imaging, and medical technology APIs so that it can be viewed together in data visualizations. In September 2020, Microsoft launched Cloud for Healthcare, a managed service offering that’s designed to help health care organizations manage their operations. Head over to our on-demand library to view sessions from VB Transform 2023.
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