Author Profile

Jeff Cribbs
Distinguished VP Analyst
11 years at Gartner, 23 years' experience
Location: USA | Language(s): English
Roles and Responsibilities
Jeff Cribbs is a Distinguished VP Analyst on the Gartner Healthcare Team. He leads the global agenda for Healthcare Data, Analytics and AI research. He currently has a special focus on the impact of generative AI in healthcare and across industries. Ongoing research areas include healthcare business and technology strategy, health value measurement, scenario planning, and healthcare data science. He works with technology leaders at payer, provider, and life science companies globally. Over his 11 years as a Gartner analyst, he has led research efforts in COVID-recovery scenario planning, healthcare consumer engagement, population health management and care management, community resource network management to address social determinants of health, composable technology architecture, and novel approaches to funding global healthcare as a part of Gartner's Maverick innovation incubator program.
Background
Previous Experience
Mr. Cribbs has served in a variety of roles in health IT, including programming, business and technical analysis, team management, application design, product management, and analytics strategy. Prior to joining Gartner, Mr. Cribbs was a program manager at ActiveHealth Management (a fully owned subsidiary of Aetna), where he was responsible for management of the ActiveAnalytics product and deploying the analytic strategy for new provider business.
Professional Background
- ActiveHealth Management (Aetna), Program Manager, 7 years
- Independent software development, BI and education, various, 5 years
Education
- B.S., Wheaton College, Chicago
- Business Studies, Zicklin School of Business, New York
- M.F.A., University of Missouri, Kansas City
Explore
RESEARCH BY THIS ANALYST More
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13 September 2023
Healthcare Providers: Build IT Strategy Around Stakeholder Value -
08 August 2023
Quick Answer: Align OKRs, KPIs, and ODMs to Stakeholder Value Proposition Frameworks -
24 July 2023
Hype Cycle for Healthcare Data, Analytics and AI, 2023
- 16 October 2023 - 19 October 2023 IT Symposium/Xpo
- 06 November 2023 - 09 November 2023 IT Symposium/Xpo
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