Maandelijks archief: maart 2018

Microsoft’s focus on transforming healthcare: Intelligent health through AI and the cloud

Healthcare is an industry that touches all of us, given the most basic of human goals: we all want to lead healthy lives. Last year we embarked on Healthcare NExT, a Microsoft initiative which aims to accelerate healthcare innovation through artificial intelligence and cloud computing. By working side-by-side with the healthcare industry’s most pioneering players, we are bringing Microsoft’s capabilities in groundbreaking research and product development to help healthcare providers, biotech companies and organizations around the world use artificial intelligence (AI) and the cloud to innovate.
It’s exciting work with unique challenges, and in the lead-up to next week’s Healthcare Information and Management Systems Society (HIMSS) conference, we’re announcing a number of solutions, projects and AI accelerators that we believe will help make intelligent health possible, with more details below:
Microsoft Genomics: The general availability on Microsoft Azure, providing researchers and clinicians with highly accelerated, cloud-powered genomic processing services. The flagship partner for this launch is St. Jude Children’s Research Hospital.
Microsoft Azure Security and Compliance Blueprint: HIPAA/HITRUST – Health Data & AI: The general availability of an end-to-end application development foundation to help health organizations move to the cloud with greater simplicity, compliance, security and industry-standard compatibility.
AI Network for Healthcare: An expansion of the Microsoft Intelligent Network for Eyecare, now AI Network for Healthcare, to create an AI-focused network in cardiology, in partnership with one of the largest health systems in India, Apollo Hospitals.
Microsoft 365 Huddle Solution Templates: The publication of new developer templates that extend Microsoft Teams, so health teams can benefit from state-of-the-art collaboration tools to drive quality and care outcomes in Microsoft 365.
Project Empower MD: Project EmpowerMD, a research collaboration with UPMC, will create a system that listens and learns from what doctors say and do, to dramatically reduce the burden of note-taking for physicians.
Project InnerEye: Announcing new integrations with TeraRecon and Intuitive Surgical.
We will also continue progress on current Healthcare NExT research-based projects like our Health Bot project as well as our partnerships with UPMC and Adaptive Biotechnologies.
Several themes emerge at the convergence of healthcare and technology. The explosion of data, incredible advances in computational biology, genomics and medical imaging have created vast amounts of data well beyond the ability of humans to comprehend. Clinicians and care teams are yearning to swivel their chairs from the computer and pay more attention to the patient, yet still they spend two-thirds of their time interacting with burdensome IT systems. And healthcare organizations everywhere still struggle with the lack of operational and regulatory clarity in managing and analyzing the datasets that they are generating every day. Providing cloud- and AI-powered tools will unlock the vast potential at these points of convergence. It’s why our focus is threefold: developing foundations for precision health care, enabling the health industry’s move to the cloud, and empowering the people that make healthcare work.

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Project EmpowerMD: Medical conversations to medical intelligence

Physicians continuously integrate new information, such as research studies, patient-supplied information, and new protocols into clinical practice. Physicians also collaborate with other clinicians and patients to get new insights and develop care plans. EmpowerMD captures and integrates medical expertise at scale and provides an intelligent consult, or virtual collaborator, to the physician at the point-of-care.

Our first effort is an Intelligent Scribe, initiated as part of our collaboration with UPMC. The Intelligent Scribe is a learning system that captures and synthesizes patient-physician conversations in the form of encounter note suggestions. This allows physicians to spend more face-to-face time with patients, and to use every patient interaction to achieve the best outcomes.

https://youtu.be/c6exHAzNwy4

The Intelligent Scribe leverages many services from Microsoft’s Intelligent Cloud including Custom Speech Services (CSS) and Language Understanding Intelligent Services (LUIS), customized for the medical domain. We are building a rich medical knowledge graph and a recommendation system. We have also developed an Azure-powered architecture for secure sharing of speech data with our healthcare partners.

While we are starting with the Intelligent Scribe, our long-term vision is a learning system that incorporates data from longitudinal medical records, medical devices, genomics, population health, research papers, and more. This learning system will improve as it grows and learns. We look forward to working with partners as we turn our vision into reality.

Microsoft to drive ‘intelligent health’ with new AI, cloud computing projects

Microsoft has announced a slew of projects aimed at helping global healthcare providers harness the power of artificial intelligence and the cloud.

The computing company said it wanted to help speed up innovation in the healthcare sector by providing clinicians with “intelligent health” tools that drive interoperability, while allowing for more face-to-face time with patients.

Amongst the announcements is the launch of new collaboration tools for health workers within Microsoft 365 and the development of an artificial intelligence (AI)-driven clinical platform that listens to and transcribes doctor-patient interactions.

Called Project EmpowerMD, developed in collaboration with University of Pittsburgh Medical Center (UPMC), the platform leverages Microsoft’s speech-to-text and natural language engines to record speech data, the primary aim of which is to enable hands-free note taking.

According to the project’s information page, Microsoft’s ambition is to develop “a learning system that incorporates data from longitudinal medical records, medical devices, genomics, population health, research papers, and more.”

Additional AI projects noted by Microsoft include the expansion of the company’s AI Network for Healthcare, which is being developed in partnership with India’s Apollo Hospitals and seeks to create new machine learning models for reducing the risk of cardiovascular disease in patients.

Microsoft also announced new integrations with TeraRecon and Intuitive Surgical for Project InnerEye, a machine learning-powered medical imaging initiative.

Elsewhere, Microsoft is expanding the availability of its HIPAA/HITRUST- certified security and compliance blueprint for Microsoft Azure to help care providers move health data into the cloud safely.

Microsoft Genomics has also been made generally available to healthcare providers.

The announcements come ahead of the annual HiMSS health conference, which has started today in Las Vegas and ends on Friday.

Writing on the company’s blog Peter Lee, Microsoft’s corporate vice president of AI + Research, said: “Clinicians and care teams are yearning to swivel their chairs from the computer and pay more attention to the patient, yet still they spend two-thirds of their time interacting with burdensome IT systems.

“Providing cloud and AI-powered tools will unlock the vast potential at these points of convergence. It’s why our focus is threefold: developing foundations for precision health care, enabling the health industry’s move to the cloud, and empowering the people that make healthcare work.

“Our ambition is that innovators will be able to use AI and the cloud to unlock biological insight and break data from silos for a truly personal understanding of human health and in turn, enable better access to care, lower costs and improved outcomes.”

Aside from AI, Microsoft has also delved into the world of mixed reality in health care and surgeons at Imperial College Healthcare NHS Trust have started using the technology to look inside patients before they operate on them, in an effort to make procedures safer and more time-efficient.