Amazon Web Services (AWS)

Cloud tools together with AI and ML are transforming medical imaging. These solutions are empowering healthcare organizations to solve urgent radiology challenges like data accessibility, compliance, costs, and operational inefficiencies.

AI is already appearing in corners of the healthcare industry, but many health systems struggle to adopt and take full advantage of its promise. Here’s how to harness the power of machine learning to overcome challenges in clinical efficiency and build a stronger relationship between technology and healthcare.

Data science is quickly becoming a key component in supporting a digitally-enhanced, data-driven healthcare industry. Many organizations are looking to cloud-enabled platforms to supports foundational machine learning and artificial intelligence tools and modalities (image, voice, etc.) that enable a variety of tasks in the healthcare industry. This allows healthcare organizations to quickly derive new actionable insights from the growing amount of structured and unstructured data across clinical settings. In this session, we will share how healthcare organizations are leveraging novel machine learning capabilities and solutions for clinical applications and are achieving more accurate and efficient results to improve outcomes for their patients.

US healthcare reform, increasing patient expectations, exponential data growth, and the threat of cyber attacks are forcing healthcare providers to re-evaluate their data management strategies. Healthcare providers are responding to these demands by leveraging Amazon’s AWS Cloud to enforce lifecycle management, employ cost-effective, scalable storage and un-trap data for operational and quality insights.  Join Amazon’s healthcare webinar to learn about key benefits, design considerations, and AWS partner solutions for making optimal investments in healthcare.