The effect of two different electronic health record user interfaces on intensive care provider task load, errors of cognition, and performance*

Abstract

A novel user interface was designed based on the information needs of intensive care unit providers with a specific goal of development being the reduction of task load and errors of cognition associated with filtering, extracting, and using medical data contained within a comprehensive electronic medical record. The results of this simulated clinical experiment suggest that the configuration of the intensive care unit user interface contributes significantly to the task load, time to task completion, and number of errors of cognition associated with the identification, and subsequent use, of relevant patient data. Task-specific user interfaces, developed from an understanding of provider information requirements, offer advantages over interfaces currently available within a standard electronic medical record.

The implementation of clinician designed, human-centered electronic medical record viewer in the intensive care unit: A pilot step-wedge cluster randomized trial

“…A full description and additional screen shots of the existing EMR environment has been previously published [25]. …”

“…Concept orientated views such as these have been demonstrated to improve clinician understanding and decision making in other settings [24]. In simulated ICU settings AWARE has been demonstrated to improve efficiency, reduce clinician cognitive load and errors [25]. The purpose of the current study was to test the safety, efficacy and acceptance of AWARE in the clinical ICU setting.…”

Electronic health records, adoption, quality of care, legal and privacy issues and their implementation in emergency departments

“…The system may respond to their needs better, and hence is perceived as more accessible to them. Research has shown that successful implementation and meaningful use of an EHR are more likely when the system is more intuitive (easily operated), when it is made to fit clinical workflow and productivity, when initial as well as on-going training is provided, when clinicians are involved in defining their department-specific needs, when the design is novel and appropriate, where a realistic timetable is made using an assessment of the change-capability of the organization, and where effective knowledge governance practices are implemented [55,65,66].…”

Derivation and Validation of Automated Electronic Search Strategies to Extract Charlson Comorbidities From Electronic Medical Records

“…The information overload becomes a hindrance to the effective use of EMRs, which may lead to reduction in performance and alter patient safety. 23 Thus, not only is implementation of an automated electronic note search strategy to identify a patient's baseline comorbidities useful in medical research, but early identification of the comorbidities from the EMR might also be helpful for the efficient treatment of patients.…”