BACKGROUND
Hospital Information Systems (HIS) aim to support users in their time-critical routines on hospital wards with accurate and timely information. However, if these systems create blockages to workflows, nurses and physicians develop workarounds to provide care to the patients, nonetheless. Workarounds are both considered negatively, when associated with risks, and positively, when seen as feedback and source of innovation. Learning about the antecedents of workarounds allows for the establishment of control mechanisms, under the promise of enhanced patient safety.
OBJECTIVE
This study seeks to explore which antecedents shape nurses’ and physicians’ workaround behavior in the context of HIS, how they influence behavior and interrelate, along with the intentions with which they are carried out.
METHODS
Utilizing 26 qualitative interviews with nurses, physicians, and health information technicians from Germany and the USA and applying grounded theory analysis techniques, we identify antecedents of HIS-related workarounds and respective relations.
RESULTS
From the interview transcripts, we derive 506 open codes, which we merge cluster into three Direct Causes (Organizational Prerequisites, Human Factor, System), and four Influencing Factors (Regulations, Sector Funding, Role of Software Providers, Role of Ownership and Management). While Influencing Factors constitute higher-level influences, they do not directly impact nurses' and physicians' behavior but rather depict the defaults that lead to conditions for Direct Causes of workarounds.
CONCLUSIONS
This study provides an understanding of the antecedents of workarounds performed by medical personnel regarding HIS usage, structures and categorizes them, and lays the foundation for an understanding of users’ deviant behavior. Moreover, by revealing cause-effect relationships between the antecedents, we take on a behavioral perspective and provide a basis for developing effective strategies to prevent the need for workarounds. We contribute to the research stream of workarounds in healthcare and emphasize that once the reported and derived Direct Causes and Influencing Factors of workarounds have been tackled, working conditions, patient safety, and the overall quality of healthcare may improve under full digital support.