Santa Rosa, California (PRWEB) May 23, 2017
i2i Population Health, a national leader in population health management (PHM) technology and a 2017 Best in KLAS category winner, has named Daniel P. Bullington as chief technology officer.
“i2i is in an advantageous market position to extend and enhance its technology platform and product offerings,” says Justin Neece, president. “Daniel is an excellent fit for our company bringing extensive expertise in both architecture and development to lead our next generation cloud and mobile solutions.”
Bullington will report directly to Neece. Prior to joining i2i, Bullington was the senior manager for IT architecture at DaVita, a Fortune 100 health care provider. He led a team that moved DaVita from a legacy health care platform to a patient-centric IT platform, which in turn received an IBM Innovation award in 2016.
Prior to DaVita, Bullington served in a variety of IT leadership roles with several large financial services companies including Asurion, Jackson National Life, Capital One and Wells Fargo. He received his master’s degree in information technology from Virginia Polytechnic Institute and his undergraduate degree from Longwood University.
About i2i Population Health
A KLAS Leader in the delivery of actionable population health, i2i Population Health’s’ integrated Population Health Management and Analytics solutions have proudly served healthcare organizations for more than 17 years. The company offers a depth of experience gained from over 2,500 U.S. healthcare delivery sites across 36 states supporting 20 million lives. With i2i, healthcare providers optimize the clinical, financial and operational success of physician group practices, community health centers, health center controlled networks, hospitals, health plans and integrated delivery networks. i2i’s flagship product, i2iTracks, is 2014 PCMH NCQA pre-validated to ignite real-time, proactive care management. i2i System’s big-data platform, PopIQ, delivers a cloud-based comparative analytics toolset to leverage multiple customers’ data sets and provide cross-population views into global population health management.