“Doctors Do Too Little Technology”: A Longitudinal Field Study of an Electronic Healthcare System Implementation

Viswanath Venkatesh, Xiaojun Zhang, Tracy Ann Sykes

Information Systems Research · 2011 · 228 citations · 75 references

Concepts

TL;DR

The rapid deployment of electronic healthcare systems has highlighted the need to understand the drivers and consequences of their use, especially given limited training and the critical, 24‑hour nature of hospital operations where peer interactions can either facilitate or hinder adoption. This study aims to develop a nomological network of e‑healthcare system use grounded in social network theory. Using a longitudinal design, the authors collected data from doctors, paraprofessionals, administrative staff, patients, and usage logs to test hypotheses about how ingroup and outgroup ties influence use across user groups and how use affects patient satisfaction through quality dimensions. The results confirm that ties to doctors negatively affect use, ties to paraprofessionals and administrators positively affect use, and system use improves patient satisfaction via technical quality, communication, interpersonal interactions, and time spent, thereby advancing theory and practice on e‑healthcare system success.

Abstract

With the strong ongoing push toward investment in and deployment of electronic healthcare (e-healthcare) systems, understanding the factors that drive the use of such systems and the consequences of using such systems is of scientific and practical significance. Elaborate training in new e-healthcare systems is not a luxury that is typically available to healthcare professionals—i.e., doctors, paraprofessionals (e.g., nurses) and administrative personnel—because of the 24 × 7 nature and criticality of operations of healthcare organizations, especially hospitals, thus making peer interactions and support a key driver of or barrier to such e-healthcare system use. Against this backdrop, using social networks as a theoretical lens, this paper presents a nomological network related to e-healthcare system use. A longitudinal study of an e-healthcare system implementation, with data gathered from doctors, paraprofessionals, administrative personnel, patients, and usage logs lent support to the hypotheses that: (1) ingroup and outgroup ties to doctors negatively affect use in all user groups; (2) ingroup and outgroup ties to paraprofessionals and administrative personnel positively affect use in both those groups, but have no effect on doctors' use; and (3) use contributes positively to patient satisfaction mediated by healthcare quality variables—i.e., technical quality, communication, interpersonal interactions, and time spent. This work contributes to the theory and practice related to the success of e-healthcare system use in particular, and information systems in general.

References

75