What You Should Know:
– Imprivata introduces a new framework to help healthcare
organizations manage digital identities and support remote/virtual care.
– Framework designed to help organizations develop and
implement a robust, comprehensive digital identity strategy to address
healthcare’s unique security, compliance, and workflow challenges.
Imprivata, the
digital identity company for healthcare, building on the work done by H-ISAC,
today introduced the Imprivata Digital Identity
Framework for Healthcare, a unified, security- and efficiency-focused
structure for managing identities across the healthcare delivery organization’s
(HDO’s) complex ecosystem. The framework provides CISOs, CIOs, and other IT leaders with strategic
guidance to drive their Identity and Access Management
(IAM) strategy, along with insights about how healthcare’s unique
considerations must necessarily govern solution choices.
Digital Identity Framework Overview
The Imprivata Digital Identity Framework
for Healthcare is structured according to the key categories
required for a robust digital identity strategy that meets the unique
demands of HDOs. These categories: governance
and administration, identity management, authorization,
and authentication and access, are ordered in the
framework to support the planning process, beginning with the end in
mind.
“Now, more than ever, our customers are challenged with navigating complex healthcare environments that demand a secure and efficient approach to IAM,” said Gus Malezis, President and CEO of Imprivata. “Our new framework shows our customers where existing IAM tools fit into a broader, more holistic approach focused on digital identities which are tantamount to efficient clinical workflows as well as rapid response to support remote workers, virtual care – and whatever unknowns the future may hold.”
The framework is designed specifically to address and
support the unique requirements of healthcare, drawing from customer feedback
and industry-leading schemes including H-ISAC, Microsoft, Gartner, KuppingerCole,
and Forrester, from which more than 120 functions were considered and
ultimately tailored.
