Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association

Just Accepted

This article has been peer reviewed and accepted for publication. It is in production and has not been edited, so may differ from the final published form.

Digital disruption "syndromes" in an Australian hospital: important considerations for the quality and safety of patient care during rapid digital transformation.

Clair Sullivan , Andrew Staib

Abstract

ABSTRACT Objective: Digital disruption is defined as the changes facilitated by digital technologies which occur at a pace and magnitude that disrupt established ways of value creation, social interactions, doing business and more generally our thinking. The digital transformation of hospitals in Australia is occurring rapidly. Rapid transformation causes significant disruption of hospital workflows and staff. Over fifty percent of electronic medical record implementations fail, partly due to poor understanding and management of this digital disruption. The aim of this paper is to outline various types of digital disruption and some strategies for effective management. Method: A large tertiary university hospital recently underwent a rapid rollout of an integrated electronic medical record (EMR) to become Australia’s largest digital hospital over a three week period. We observed and assisted with the management of several cultural, behavioural and operational forms of digital disruption. Results: We propose a classification of digital disruption “ syndromes” to assist understanding and management:  Digital deceleration  Digital transparency  Digital hypervigilance  Data discordance  Digital churn  Post digital “depression” These "syndromes" are defined and discussed in detail. Conclusion: Digital disruption has implications for care delivery. Minimising the negative impacts of digital disruption requires an understanding that these digital “syndromes” are to be expected and actively managed during large scale transformation.

AH16294  Accepted 20 March 2017

© CSIRO 2017