Patients today expect more personalized interactions as well as customized therapies that are effective and cost-efficient. Health care systems can be overwhelmed by the flood of rich new data sources, including social media, wearables and medical devices (known as the Internet of Medical Things, or IoMT). The digitization of the health care industry – from patients to clinical infrastructure – provides unprecedented opportunities to transform delivery and meet the challenges of cost, quality and access.
How SAS Can Help
Manage and analyze your IoMT data where, when and how it works best for your patient. Deliver the best patient experience – in real-time. Understand which data is relevant and private, so you'll know what to store and what to protect.
SAS delivers trusted, automated IoT analytics solutions that can help you:
- Maximize value from IoMT data. Identify and leverage data sources that provide tangible insights into enhancing patient care, streamlining processes and delivering cost optimization strategies.
- Drive innovation in patient care and operations. Develop new business models and opportunities for data sharing and monetization with a more dynamic, open and agile platform.
- Embed IoMT analytics within decision support systems. Reduce alarm fatigue, improve patient safety, optimize staff and patient flow, and accelerate the adoption of value-based health care and personalized medicine.
As the leader in advanced analytics, SAS has the experience and expertise to deliver cutting-edge IoT capabilities with embedded AI that enable you to:
- Sense what matters. Perform real-time analytics on patient care data so you can act quickly and accurately to reduce alarm fatigue in hospitals, shorten wait times for patients between critical decisions, and follow patients during clinical development.
- Understand the signals in data. Use AI to uncover hidden insights throughout the connected health care ecosystem. Combine IoT data with other sources that add context so you can detect safety signals and clinical events, and proactively optimize health resources.
- Act with speed and confidence. Enhance collaboration between clinicians, data scientists, facilities and IT leaders to optimize the care delivery ecosystem and drive better patient outcomes.
- E-Book Making Sense of AI
- White Paper Understanding Data Streams in IoT
- Découvrir et rejoindre la communauté d’Ambassadeurs SAS
- Parcours Analytique dans le Cloud Azure
- Article IoT in health care: Unlocking true, value-based care
- Article Analytics at the edge Examples of opportunity in the Internet of Things
IoT Analytics Solutions for Health Care
- SAS® Event Stream ProcessingUse machine learning and streaming analytics to uncover insights at the edge and make real-time, intelligent decisions in the cloud.
- SAS® OptimizationUse a powerful array of optimization, simulation and project scheduling techniques for identifying actions that will get the best results, while operating within resource limitations and other relevant restrictions.