REPORT

Hype Cycle™ for Healthcare Data, Analytics, and AI 2022

“Beneath a dizzying array of technology options, use cases, data sources, market hype and practical constraints lies a primary need for healthcare organizations to use D&A to deeply understand their consumer.”

Gartner®

“Healthcare and life science organizations must build empathy with consumers to create trusted, personalized interactions/relationships. Today’s data and analytics do not allow for easy collection and coding of the feelings, wants, needs, beliefs and preferences that underlie empathetic engagement.”

Gartner®

“More than a decade of robust investment in healthcare D&A has still left yawning gaps in the fundamentals of world-class D&A. Now more than ever, it is essential that HCLS D&A leaders forge a vision of focused innovation and material value delivery.”

Gartner®

“After years of blue-sky thinking, innovation pilots, and sandbox environments, HCLS D&A leaders are seeking technologies and practices to deliver and demonstrate AI value at scale.”

Gartner®

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Emerging technologies are shifting the dynamics, potential, and economics of healthcare data collaboration. Gartner® knows that Healthcare and Life Science Data & Analytics (HCLS D&A) Leaders hold critical and strategic influence on healthcare organizations. If you’re looking to identify new strategies to foster innovation and material value delivery, Gartner® describes and analyzes technologies to maximize impact in their Hype Cycle for Healthcare Data, Analytics, and AI 2022 –– recognizing TripleBlind as a Sample Vendor!

What do we love about this report? Gartner® defines how to gain a deeper understanding of healthcare consumers, execute artificial intelligence (AI) at scale, build sound architecture for data management and analytics, and strategically navigate talent and governance barriers. This report simplifies what can be a “dizzying array of technologies, use cases, data sources, market hype, and practical constraints” –– allowing HCLS D&A Leaders to focus on what really matters: healthcare consumers.

Topics Covered Include: Healthcare Data Analytics, Artificial Intelligence at Scale, AI Strategy, Federated Machine Learning, Adaptive D&A Governance, Next-Generation Research Environments

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Footnote:

Gartner, Hype Cycle for Healthcare Data, Analytics and AI, 2022, Jeff Cribbs, 27 July 2022.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.