![]() ![]() In 2017, our team began development of a suite of dashboards designed to provide ready access to patient-level data for clinicians enrolled in the program. ![]() Program leadership reasoned that dashboards could dramatically reduce the amount of time and effort required to gather baseline and trend data. ![]() ![]() Previously, many Geriatric Scholars relied on time-intensive data collection methods, such as chart review, oftentimes leading to stalled projects and ultimately program incompletion. The Veterans Affairs' (VA) primary care workforce development project, the Geriatric Scholars Program (GSP), supports the integration of geriatrics into primary care.įollowing intensive training, clinicians initiate an evidence-based QI project at their local institutions, under the guidance of a program mentor, to successfully complete the program. While these can expose end user perceptions of usefulness, implementation feasibility, and satisfaction, a usability study involving real-time observation of users completing specified, typical tasks provides added insight into the quality of user interaction with a given application within the intended setting. These tools rely on quality indicators, evidence-based clinical practice guidelines, and risk model algorithms to pull real-time data from various sources and compile the information into an accessible, visually intuitive format.ĭashboard developers often prioritize the accuracy of information it is equally important to establish the ease of use, or usability, of a dashboard.įocusing on how providers interact with a clinical tool interface can uncover challenges to functionality, which can negatively impact user experience and interpretation of information, thereby affecting overall use.ĭuring the evaluation process, many developers in the health care setting rely on practical tools to assess usability that take into consideration the time limitations of clinical users, including heuristic checklists, questionnaires, surveys, interviews, and focus groups. A structured approach to usability testing in the developmental phase is an important tool for developers of clinician friendly systems for displaying easily digested information and tracking outcomes for the purpose of quality improvement.ĭashboards have become increasingly popular in the clinical setting as a way to amalgamate large amounts of information from different systems into one platform for the purposes of quality improvement (QI), patient population management, and performance monitoring. Reliance solely on questionnaires and surveys at the end stages of dashboard development can mask potential functional problems that will impede proper usage and lead to misinterpretation of results. Usability testing lead to overall improvements in the intuitive use of the system, increased data transparency, and clarification of the dashboard's purpose. Our structured approach to usability testing identified specific functional problems with the dashboard reporting system that were missed by results from the SUS. Thematic analysis was used to analyze field notes from the interviews of three GSP alumni. We developed a structured interview protocol that combines virtual observation, think-aloud moderating techniques, and retrospective questioning of the overall user experience, including use of the System Usability Scale (SUS). This article describes the process of usability testing a dashboard reporting system with clinicians using direct observation and think-aloud moderating techniques. Prior to release of the potentially inappropriate medication (PIM) clinical dashboard, designed to facilitate completion of a quality improvement project by clinician scholars enrolled in the Veterans Affairs (VA) workforce development Geriatric Scholars Program (GSP), we evaluated the usability of the system. When evaluating usability of a clinical dashboard among potential end users, developers oftentimes rely on methods such as questionnaires as opposed to other, more time-intensive strategies that incorporate direct observation. With the increased usage of dashboard reporting systems to monitor and track patient panels by clinical users, developers must ensure that the information displays they produce are accurate and intuitive. ![]()
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