High workload of nurses in Intensive Care Units (ICUs) has been identified as a major patient safety and worker stress problem. However, relative little attention has been dedicated to the measurement of workload in healthcare. The objectives of this study are to describe and examine several methods to measure workload of ICU nurses. We then focus on the measurement of ICU nurses’ workload using a subjective rating instrument: the NASA TLX. We conducted secondary data analysis on data from two, multi-side, cross-sectional questionnaire studies to examine several instruments to measure ICU nurses’ workload. The combined database contains the data from 757 ICU nurses in 8 hospitals and 21 ICUs. Results show that the different methods to measure workload of ICU nurses, such as patient-based and operator-based workload, are only moderately correlated, or not correlated at all. Results show further that among the operator-based instruments, the NASA TLX is the most reliable and valid questionnaire to measure workload and that NASA TLX can be used in a healthcare setting. Managers of hospitals and ICUs can benefit from the results of this research as it provides benchmark data on workload experienced by nurses in a variety of ICUs.

Objective To assess the impact of EHR technology on the work and workflow of ICU physicians and compare time spent by ICU resident and attending physicians on various tasks before and after EHR implementation. Design EHR technology with electronic order management (CPOE, medication administration and pharmacy system) and physician documentation was implemented in October 2007. Measurement We collected a total of 289 h of observation pre- and post-EHR implementation. We directly observed the work of residents in three ICUs (adult medical/surgical ICU, pediatric ICU and neonatal ICU) and attending physicians in one ICU (adult medical/surgical ICU). Results EHR implementation had an impact on the time distribution of tasks as well as the temporal patterns of tasks. After EHR implementation, both residents and attending physicians spent more of their time on clinical review and documentation (40% and 55% increases, respectively). EHR implementation also affected the frequency of switching between tasks, which increased for residents (from 117 to 154 tasks per hour) but decreased for attendings (from 138 to 106 tasks per hour), and the temporal flow of tasks, in particular around what tasks occurred before and after clinical review and documentation. No changes in the time spent in conversational tasks or the physical care of the patient were observed. Conclusions The use of EHR technology has a major impact on ICU physician work (e.g., increased time spent on clinical review and documentation) and workflow (e.g., clinical review and documentation becoming the focal point of many other tasks). Further studies should evaluate the impact of changes in physician work on the quality of care provided.

The design and adoption of decision support systems within complex work domains is a challenge for cognitive systems engineering (CSE) practitioners, particularly at the onset of project development. This article presents an example of applying CSE techniques to derive design requirements compatible with traditional systems engineering to guide decision support system development. Specifically, it demonstrates the requirements derivation process based on cognitive work analysis for a subset of human spaceflight operations known as extravehicular activity. The results are presented in two phases. First, a work domain analysis revealed a comprehensive set of work functions and constraints that exist in the extravehicular activity work domain. Second, a control task analysis was performed on a subset of the work functions identified by the work domain analysis to articulate the translation of subject matter states of knowledge to high-level decision support system requirements. This work emphasizes an incremental requirements specification process as a critical component of CSE analyses to better situate CSE perspectives within the early phases of traditional systems engineering design.

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