Artificial intelligence (AI) is instrumental in transforming medical data into actionable insight at any scale and can help improve operations throughout your organization. Here, Vanessa Braunstein, product marketing lead for NVIDIA Healthcare, joins HPE's Rich Bird in a discussion detailing the ways HPE and NVIDIA are helping healthcare organizations improve clinical outcomes with AI-enabled healthcare applications.
The pressure to meet these challenges is mounting, as rising volumes of patients depend on immediate and personalized care. These patients often require more doctor’s visits, sophisticated treatments, and medications, as well as the use of specialized equipment and personal devices which produce troves of medical data. A single patient can generate 80 megabytes of imaging and electronic health record (EHR) data per year. With ongoing improvements to imaging and new sources like wearable technology and monitoring tools, data is projected to double in size every two years. This means that patients today will generate 500 times more medical data than their grandparents over their lifetimes. The ability to rapidly access and utilize this data is critical to provide quality services to more patients, faster.
Cutting-edge technologies are helping organizations enhance their clinical and operational processes with the expansion of connected care, medical image analysis, and clinical insight sharing. These capabilities improve clinical outcomes, allowing caregivers and staff to leverage real-time medical insights to help make well-informed diagnosis and treatment plans, and ensure continuous care after discharge.
To accomplish these goals, organizations must create a new type of environment that offers greater performance and flexibility than their current systems. The right technologies will be agile and intelligent, expanding the reach of today’s healthcare teams and providing patients with safer, more immediate care.
Redefining clinical experiences with AI
Artificial intelligence (AI) is helping to turn troves of patient data into actionable insights. AI technologies have already been developed to spot the warning signs of stroke, identify acute conditions and diseases, track patients’ vital signs, and navigate medical images using speech or hand gestures. Now, these complex data workloads can be executed quickly and accurately to optimize the delivery of care.
AI for clinical outcomes is redefining patient and caregiver experiences. By rapidly ingesting, processing, and analyzing large quantities of medical data, healthcare teams can seamlessly access and share data to streamline productivity and take real-time action. Next-generation technologies are designed to help caregivers achieve better outcomes and better quality of life for patients. These capabilities include imaging and diagnostics, remote patient monitoring, patient engagement, fall prevention, operating room workflow automation, surgery analytics, and contactless control.
AI analytics creates a comprehensive view of healthcare operations, providing a deeper look into patients and their unique needs. Harnessing extreme speed and processing power in medical imaging and diagnostics has transformed how organizations derive insight from a variety of data types and sources—an approach that has shown extraordinary accuracy and sensitivity in discovering imaging details and abnormalities. AI extends these capabilities for any requirement or use case, including extremely delicate tasks like surgery analysis. AI and computer vision technologies can significantly improve the quality of surgical procedures by providing tools that help analyze and monitor the surgical workflow. This application is a big step towards the future of robotic surgery.
Despite these game-changing benefits, organizations often struggle to realize the full potential of AI. Many organizations aren’t sure how to begin their AI journeys, and 76% of organizations have trouble with scaling AI across their operations. To succeed, they must adopt breakthrough solutions that can create new efficiencies and unlock greater intelligence for AI-powered healthcare.
Adopting leading-edge solutions for AI
Companies like HPE and NVIDIA are empowering the future of healthcare with insight on demand. The HPE AI platform is a comprehensive solution designed to enhance clinical outcomes and efficiencies—all at unprecedented speed and scale. The HPE Apollo 6500 systems and HPE ProLiant DL380 servers are NVIDIA-Certified Systems, validated for the performance, manageability, security, and scalability required for modern applications. The HPE AI platform also features Cray ClusterStor E1000, delivering high throughput to GPUs with unprecedented agility to execute demanding AI workloads. These systems are optimized for AI and data-intensive workloads and come with validated AI, HPC, and analytics software in a range of healthcare applications. Healthcare organizations can configure DevOps and MLOps software to fit their specific requirements, so staff can focus on patient outcomes. Supported by a robust ISV healthcare ecosystem, GPU-optimized software simplifies IT deployment and management while optimizing performance, helping data scientists, developers, and researchers focus on building solutions, gathering insights, and fueling medical insight.
Empowering an intelligent age of healthcare
AI is modernizing healthcare operations from the ground up. The HPE AI platform with NVIDIA accelerated computing provides exceptional intelligence and performance to enable integrated, cost-effective, and patient-centric healthcare, so you can tackle today’s challenges and evolve for tomorrow’s requirements. These solutions are expertly engineered to facilitate AI to increase productivity, expand health and wellness services, and fuel clinical outcomes with the highest-quality care.
Let us improve your clinical outcomes with AI-enabled healthcare applications.
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Rich_Bird
Rich Bird has worked in the IT industry for 20 years with some of the largest commercial brands. For the last 5 years he’s been focused on healthcare IT at Hewlett Packard Enterprise, and believes deeply that digital technologies can, will and need to have an impact on the delivery of better healthcare, for people all over the world. Educated in Computer Science at Coventry University, and starting his career as a network engineer for Rolls Royce, he moved into human communications roles in 2006. Rich leads teams in delivering integrated marketing campaigns into National, local and regional Governments in the UK, where Rich found his passion for making the complex concepts of IT, simple and understandable for his audience. During this time he found his true calling, Healthcare, and how digitization can improve real people lives. He created a companywide growth board focusing on the UK NHS, pulling together disparate teams of sales, marketing, solutions architects, chief technologists and the country leadership teams for HP/HPE UK. Rich is a strategic thinker who understands the practical elements that are required to get the job done and deliver real impact. His areas of specialization include Healthcare IT, Marketing, Communications, and NLP.