Next-Gen BI for Healthcare and Life Sciences on AWS

Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time.
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Spotlight

OTHER ON-DEMAND WEBINARS

Real-Time Measurements for Microbial Health of your Pharmaceutical Water System

TOC,Conductivity, and Microbial detection are all required measurements in regulated pharmaceutical waters. Today, all of these parameters can be continuously measured directly from these waters.
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Healthcare Contracting With Vendors and Suppliers

Strafford Publications

This CLE webinar will guide counsel on healthcare contracting with vendors and suppliers. The panel will examine the key provisions to be included in these contracts and offer strategies for negotiating some of the crucial provisions which may be contentious between the vendor and facility.
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CMO Roundtable: Overcoming Barriers to Behavioral Health Engagement

ontrak

McKinsey reports that by the close of 2021, behavioral health issues will impact 1 in 3 individuals. With behavioral health concerns on the rise—and with social determinants and access barriers continuing to impact how and when people obtain care—it’s never been more important to engage members who need help. In this webinar, he
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AI and Medical Imaging: Hype or Help?

HIMSS Media

The role that Artificial Intelligence is starting to play in the analysis of medical images is transitioning from one of controversy and the threat of displacing radiologist’s jobs to one of being a critical advance in helping them meet the demand for timely and accurate analysis of ever-more prevalent and complex imaging studies. This webinar will explore the advances, challenges, future, and most importantly, the implications and actions for healthcare stakeholders to consider when employing AI in medical research and clinical practice.
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