5 Must-Know Use Cases for Microsoft AI in Healthcare

Does AI have a place in healthcare? According to a Microsoft-commissioned study through IDC, 79% of healthcare organizations are currently using AI technology and experiencing a return on their AI investments within 14 months. AI has the potential to transform healthcare by supporting healthcare professionals, improving patient outcomes, and lowering costs. Find out how to use Microsoft AI to solve your biggest operational pain points and see tangible benefits from embracing innovation.

DAX Copilot for automated clinical documentation

Dragon Ambient eXperience (DAX) Copilot is an AI assistant for automated clinical documentation. Clinicians spend, on average, 10 hours each week on administrative tasks — with DAX Copilot they won’t be bogged down making manual medical notes. With a secured electronic health record (EHR) app, DAX Copilot records the entire patient story and converts it into clinical summaries, which can be accessed directly in the app or the EHR. Clinicians can then use their voice to instruct DAX to customize and finalize the notes, saving even more time.

If you’re concerned about data privacy, DAX is part of the Microsoft cloud infrastructure, meaning that it’s hosted on a secured platform guided by responsible AI principles. This AI-powered solution will improve documentation, helping clinicians reduce time spent on administrative tasks so more focus can be dedicated to patients. Hospitals like Stanford Health Care and The Ottawa Hospital have already adopted this tool and have reported productivity gains. According to a survey from Standard physicians, 78% reported that it streamlined clinical notetaking.

Is your organization ready to deploy Microsoft 365 Copilot for healthcare? We can help with a walkthrough on licensing, technical readiness, and Copilot governance.

Image courtesy of Nuance

Conversational AI for healthcare

Azure Health Bot is a virtual health assistant with built-in medical knowledge of clinical terminology and triage protocols. You can also integrate it with electronic medical records for personalized patient flows. Azure Health Bot gives your healthcare providers access to 24/7 support, answers to patient questions, and guidance to the right resources. Having a conversational AI tool reduces the time it takes for clinicians to find data, giving them more time to provide quality care for their patients. In terms of security, the bot is compliant with HIPAA, HITRUST, ISO27001, SOC2, and GDPR. Below, you can find a preview of the Azure Health Bot interface.

Image courtesy of Microsoft

Diagnostic intelligence for healthcare providers

According to Nuance, around one-third of all medical imaging is unnecessary, costing the healthcare industry $26 billion annually. Misplaced scans have been the cause of repetitive scans, leading to excessive exposure to radiation and delays in treatment.

As a solution to this, Microsoft Cloud and Nuance PowerShare technology have made real-time image sharing possible. With PowerShare, you can immediately share images across organizations with Business Associate Agreements as part of their HIPPA compliance program. More than 5,500 organizations are a part of the PowerShare Network, making it the nation’s largest network for image and report exchanges. By joining this network, you can share and receive patient images without delay.

PowerShare also uses a cloud infrastructure, eliminating the need for expensive VPNs or copying medical images to CDs, ensuring the safe transfer of images without exposure to damage or encryption errors. AI technology, informed by healthcare expertise, solves bottlenecks in patient care to ensure better insights and care.

Transform clinical trials with high-performance computing

Azure high-performance computing (HPC) is driving faster research and innovation. It’s essentially like having a supercomputer in the cloud. HPC’s designed for complex tasks requiring a lot of power and memory bandwidth, like machine learning and AI modeling.

These advanced computing capabilities provide researchers with high-end visualization, deep learning, and predictive analytics while removing the challenges of scale and complexity. Researchers can gain deeper insights into medical data and improve the accuracy of clinical trial simulations with analytics and machine learning tools. As a testament to the power of this technology, the National Health Service used Azure HPC and AI to develop an app that analyzed COVID-19 tests. This app operated at a rate and accuracy that surpassed human capabilities, significantly increasing efficiency and relieving capacity loads on a strained system. This success story is a glimpse into the future of healthcare, which will increasingly rely on AI and data-driven solutions to address unprecedented issues.

Greater business and patient insights driven by unified data

Too often, patient data is siloed, making it difficult to make informed decisions without the complete picture. Microsoft Fabric is an AI-powered solution that unifies your data and analytics. It can support the intake and compilation of healthcare data from various sources, like EHRs, Picture Archiving and Communication Systems (PACS), labs, claims systems, and medical devices. Organizations can use this information to analyze historical data to conduct proactive patient outreach, clinical research studies, or support population health strategies.

This platform complies with regulations like HIPPA and GDPR, as well as industry standards like Fast Healthcare Interoperability Resources (FHIR) and Digital Imaging and Communications in Medicine (DICOM), alleviating data privacy concerns. See below for what the healthcare data solutions look like in Fabric and the capabilities offered.

Image courtesy of Microsoft

Getting started with AI in your healthcare organization

Healthcare organizations that are embracing AI are already reaping the rewards. Take advantage of the opportunity to improve treatment outcomes, patient care, and productivity, all of which become possible with the power of AI. It’s time to see what Microsoft AI can do for your organization.

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