The impact of electronic health record (EHR) technology on physician work can influence their acceptance and use of the technology [1], [2], [3], [4], [5], [6]. In particular, physicians have expressed concerns regarding changes in how they spend their time after EHR implementation. EHR technology may create more or new work for physicians [7] such as increased time spent on documentation. This occurs in a context where residents are reporting spending significant time on documentation. For instance, according to a 2006 survey of internal medicine residents [8], about 68% of residents reported spending in excess of 4 h daily on documentation. A recent survey confirms the extensive time spent by hospital physicians in documentation-related activities [9]. Limited research has assessed changes in physician work after EHR implementation [10], [11], [12]; the focus of that research has been limited to specific physician tasks (e.g., documentation) [13], and studies are plagued with methodological problems (e.g., small sample size; additional information on time and motion study and sampling can be found in a review of time studies in healthcare [14], or in books by Salvendy [15] and Barnes [10], [16]). Additionally, sparse research has assessed the impact of EHR technology on intensive care unit (ICU) physician work [13], [17], [18]. Caring for complex critically ill patients requires communication and coordination of multiple healthcare team members, and changes in physician work routines could affect their ability to provide safe, high-quality care. Therefore, we postulated a need to better understand the impact of EHR technology on how ICU physicians spend their time on various tasks. Our study systematically examines the impact of EHR technology on the work of resident and attending physicians in the ICU.
Studies have assessed the impact of various forms of EHR technology on specific physician tasks, such as documentation [13]. This research demonstrates the need to clearly define the EHR technology and its functionalities as these can have varying impact on clinician work, and the need for more comprehensive studies that record data on all tasks performed by physicians. For instance, Overhage and colleagues [19] examined a total of 81 tasks in 11 major categories performed by 34 physicians at 11 primary care internal medicine practices before and after the implementation of a homegrown computerized provider order entry (CPOE) system. Physicians spent slightly more time per patient overall and less time writing orders. In a study of 20 primary care physicians [20] using an adapted task list from that of Overhage and colleagues [19], physicians were found to spend more time on indirect patient care after EHR implementation, such as looking for patient-related information, and reading charts, data or email.
A few studies have examined EHR implementations in hospitals and their impact on physician work. The implementation of an electronic medication management system in an Australian hospital did not lead to any changes in time spent on direct care or medication-related tasks [12]. However, this study was unable to examine the impact of CPOE as it was already implemented at baseline. After the CPOE implementation at Massachusetts General Hospital, interns’ time spent writing orders went from 2.1% to 9% of their total work time and was associated with less time talking and reading [21]. Other studies have documented additional time spent by physicians on the computer after implementation of CPOE in a pediatric emergency department [22], CPOE and electronic nursing documentation in an emergency department [23], and electronic medical records (EMR) in a hospital [24]. A systematic review of research on the impact of EHR on physician work time confirmed that EHR technology tends to increase documentation time [10]. However, little research focuses on ICU physicians [25]. One study examined the time spent by physicians documenting during rounds in a pediatric ICU and an adult ICU, finding that documentation time decreased significantly [26]. This study included residents, attendings and sub-specialty fellows, but did not compare results by type of physician, and focused on documentation-related tasks as opposed to understanding the impact of the technology on all tasks performed by physicians. A second study collected data from five pediatric ICU attending physicians before and after the implementation of an electronic clinical information system, and also focused on documentation time [13]. Whereas time spent on handwritten and electronic documentation was similar, electronic documentation was more detailed, primarily because of the structured data entry process. Whereas the first two studies focus on documentation activities, the third study used a generic list of tasks and evaluated the impact of CPOE implementation among second- and third-year resident physicians rotating in one pediatric ICU with 67 h of observation conducted pre-CPOE and 87 h of observation conducted post-CPOE implementation [17]. Results showed more time spent by physicians interacting with patients, a higher frequency of task switching and more frequent waiting or idle time after CPOE implementation. Our research makes significant contributions to existing research by collecting data from several ICUs at all times and during both weekdays and week-end. In addition, comprehensive information (i.e., not just on documentation tasks) is needed to assess the potentially variable impact of EHR technology on the work of residents compared with attending physicians in the ICU.
While studies have documented the impact of EHR technology on physician work time in various care settings (i.e., primary care, ED, ICU), most studies have methodological weaknesses [10], [14]. Many studies rely on subjective assessments of work time [8] or work sampling [13], [21]. Continuous data collection on work activities such as time studies or task analysis are more precise methods for measuring time spent on various tasks [10], [14], [27]. Very few studies capture simultaneous work activities [28], [29], [30], which is particularly relevant for assessing the work of ICU physicians who often perform multiple work activities in rapid sequences. Another limitation of existing research is the lack of focus on the distribution of work time across various activities. To more fully understand the impact of EHR implementation on physician work, it is imperative to examine sequential and temporal patterns of work activities in addition to percentages of time spent on activities [17]. In a study of CPOE implementation in a pediatric ICU at the University of Michigan Health System [17], researchers not only examined changes in time utilization (e.g., time spent writing orders on the computer), but also workflow patterns (e.g., task switching and task transition). This promising research method enables us to understand the dynamic changes that occur with EHR implementations. For example, physicians may spend their time differently, but they may also work differently as varied patterns and sequences of activities emerge post-EHR implementation. When conducting this type of research in ICUs, a list of tasks that is representative of the unique work of caring for critical care patients [28], [30], instead of generic tasks [17], is necessary; this is what we do in this study.
In this paper, we present data reflective of the impact of EHR technology on how resident and attending physicians spend their time in the ICU on multiple tasks. Our study addresses several conceptual and methodological issues of previous research, in particular assessment of all tasks performed by ICU physicians, and examination of the temporal flow of tasks.