Ranked Levels of Influence model: selecting influence techniques to minimize IT resistance.

Implementation of electronic health records (EHR), particularly computerized physician/provider order entry systems (CPOE), is often met with resistance. Influence presented at the right time, in the right manner, may minimize resistance or at least limit the risk of complete system failure. Combining established theories on power, influence tactics, and resistance, we developed the Ranked Levels of Influence model.

Negative CPOE attitudes correlate with diminished power in the workplace.

Power changes have been identified as a frequent and unintended consequence of the implementation of computerized physician order entry (CPOE). However, no previous study has described the degree or direction of power change, or even confirmed that such a relationship exists. Using a validated, standardized instrument for measuring personal power, we collected data from 276 healthcare workers in two different hospitals before and after implementation of CPOE.

Development of an instrument for measuring clinicians' power perceptions in the workplace.

We report on the development of an instrument to measure clinicians' perceptions of their personal power in the workplace in relation to resistance to computerized physician order entry (CPOE). The instrument is based on French and Raven's six bases of social power and uses a semantic differential methodology. A measurement study was conducted to determine the reliability and validity of the survey.

Predicting the impact of a new information system on workflow using a discrete event simulation.

Computer simulation of an information system prior to its implementation can predict time and workflow changes in a hospital department, while offering a common ground of communication across various levels in the organization. Often, the simulation can predict unexpected effects of changes to the work environment and allow experimentation with alternative scenarios at minimal cost to the department or the organization. In this paper we describe a discrete-event simulation experiment that predicted an unexpected increase in routine specimen processing time with the introduction of an information system in the HLA tissue typing lab at a major transplant center.