Data science, AI, and machine learning: The Path to Improved Safety

Data Science
As safety departments seek ways to improve medicinal product safety and protect patients, data science approaches offer significant promise. What’s possible, what's realistic, and what’s the value to the industry and public?
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Spotlight

OTHER ON-DEMAND WEBINARS

Enhancing Realism in Clinical Simulation Scenarios

So how realistic should simulation-based training be? According to Alinier (2011), the aim of running simulation sessions is for participants to acquire experience in a safe environment.
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Empowering Patient Digital Experiences: Trends and Solutions to Drive Innovation

HIMSS Media

Having to discern and address patient experiences is often complex, but understanding motivations and addressing choices can add clinical, operational, and financial value to care delivery. This webinar will highlight case studies and explore considerations of tools, concepts, approaches, and leading innovations empowering clinicians to deliver positive patient experiences that are necessary in the new healthcare economy.
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Machine learning for efficient clinical study design

Designing and implementing consumer research and clinical studies is expensive, intrusive, and can introduce critical delays in getting products to market.
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Snowflake’s 2023 Outlook for Healthcare and Life Sciences Trends

Today’s rapid acceleration of data in healthcare and life sciences requires a comprehensive strategy to enable organizations to harness the value of data in order to improve health outcomes.
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