Eric Bailey
Women in Health IT
(SPONSORED) Adrienne Edens, VP of Education at CHIME, offers her perspective as a judge from the inaugural Most Influential Women in Health IT Awards and Helen Donnelly of Verizon applauds the initiative's focus to recognize influence and raise awareness within the community which it supports.
Precision Medicine
Eric Dishman, director of the All of Us Research Program, explains the goals of the landmark genomics initiative – and explains how his own personal experience with whole-genome sequencing has informed his work.
(SPONSORED) HIMSS Radio guests Karen DeSalvo and Suzi Grizancic discuss the issues around gender diversity and quality in the health IT field and their involvement in the HIMSS Women in Health IT initiative.
Interoperability
Adnan Hamid, Assistant CIO at Henry Mayo Newhall Hospital, discusses the organization's areas of focus for health IT in 2017 including cybersecurity, disaster recovery, interoperability and more.
(SPONSORED) Shareefa Alabdulmunem, Head of eServices at King Faisal Specialist Hospital, and Christina Caraballo, Senior Healthcare Strategist at Get Real Health, each reflect upon what it means to receive the HIMSS Most Influential Women in Health IT Award.
Health IT Analytics
Zeeshan Syed, Director of the Clinical Inference and Algorithms Program at Stanford Healthcare, presents the differences between AI and machine learning and discusses current applications of each technology in healthcare.
Analytics
Cheryl Reinking, CNO at El Camino Hospital, discusses how data analytics assisted their efforts to curb a rising trend in patient falls.
Workforce Development
Analytics is about a lot more than data, says J.
Health IT Analytics
Tressa Springmann CIO at Baltimore-based LifeBridge Health, and Mary Jo Morrison, principal with The Chartis Group, say smart analytics projects demand leadership, accountability, incentive alignment and a data-driven culture of decision-making.
New Technology
Leonard, D’Avolio, Harvard professor and CEO of Cyft, sees a near future where artificial intelligence and machine learning will enable transformative improvements in healthcare.