Dashboards are data-driven clinical decision support tools used to analyze data from multiple databases using easy-to-read, color-coded graphical displays, much like the dashboards of automobiles. Dashboards can be used to promote data-driven decision making and improve adherence to evidence-based practice guidelines. The purpose of this article was to provide a review of dashboards used to query electronic health records for the purpose of guiding clinical practice and research. An inductive content analysis approach was used to identify emerging themes directly from the literature. Five basic dashboard properties identified include the type of database integration, visual properties, purpose, time focus (ie, retrospective, real time, or predictive), and type of process monitored. These dashboard properties are determined by the characteristics of the specific organization, user, and purpose of data analysis. Using dashboards to perform automated analytical reviews of clinical data will prove more efficient when data elements stored in electronic health records become standardized. Other limitations of dashboard use include user anxiety, information overload, and technology overload. The increased use of electronic documentation in healthcare settings will provide a wealth of data, and dashboards will play a pivotal role in converting these data into actionable knowledge.

The To Err Is Human report stated that 98 000 patients die yearly because of medical errors, and that medication errors kill more people than workplace injuries. The inadequate design and utilization of the electronic health record have been identified as major contributing factors to medical errors. Increased cognitive workload of clinicians has consistently been linked to the occurrence of medical errors. The purpose of this article was to synthesize the current state of the science on measuring clinicians' cognitive workload associated with using electronic health records in order to inform evidence-based guidelines. The major considerations identified in the literature involve the use of psychometric instruments, using efficiency as a proxy for cognitive workload, and eye tracking. The National Aeronautics and Space Administration Task Load Index was the most used psychometric instrument, but reliability measures were not reported. It is important to evaluate reliability of psychometric instruments because the consistency of the instrument can change when administered to different populations. Efficiency is an observable measure defined by the total time to complete a task and the total number of physical interactions with the user interface. Efficiency can allow the use of statistical modeling, but it does not directly evaluate the mental activity associated with using an electronic health record interface. Eye tracking has been used extensively in the literature to measure cognitive workload via changes in pupil size related to mental activity, but it is not often used to measure the cognitive workload associated with using the electronic health record. Eye tracking is very useful for continuous monitoring of cognitive workload.

Perioperative information management systems are used to generate the official documentation of patient care throughout the surgical experience. Successful implementation of perioperative information management systems requires a careful assessment of the contextual factors (ie, the social, cultural, and physical environment) that are present at the site. Failure to sufficiently assess these contextual factors is one of the leading causes of unsuccessful system implementation and can result in decreased patient safety, poor documentation quality, inefficient work processes, and wasted financial resources. Clearly defining and identifying the contextual factors are necessary to improve the performance and utilization of information management systems. The purpose of this article was to provide an integrative review of the empirical and theoretical literature on the contextual factors present in the perioperative environment to help guide future research and clinical practice. Specifically, this review addresses a gap in the literature regarding the descriptions of the contextual factors and how these factors affect implementation practices and system use. By clearly identifying these contextual factors and determining their relationship to successful system implementations, informatics specialists can tailor implementation and assessment tools to both patients and perioperative settings.

Unintended consequences are adverse events directly related to information technology and may result from inappropriate use of electronic health records by healthcare professionals. Electronic health record competency training has historically used didactic lectures with hands-on experience in a live classroom, and this method fails to teach learners proficiency because the sociotechnical factors that are present in real-world settings are excluded. Additionally, on-the-job training to gain competency can impair patient safety because it distracts clinicians from patient care activities. Clinical simulation-based electronic health record training allows learners to acquire technical and nontechnical skills in a safe environment that will not compromise patient safety. The purpose of this literature review was to summarize the current state-of-the-science on the use of clinical simulations to train healthcare professionals to use electronic health records. The benefits of using simulation-based training that incorporates an organization's contextual factors include improvement of interdisciplinary team communication, clinical performance, clinician-patient-technology communication skills, and recognition of patient safety issues. Design considerations for electronic health record training using clinical simulations involve establishing course objectives, identifying outcome measures, establishing content requirements of both the clinical simulation and electronic health record, and providing adequate debriefing.

During the last decade, the use of electronic health records (EHRs) in clinical settings has risen sharply. Many clinical education programs have not incorporated the use of electronic documentation into their curriculum. It is important to incorporate technologies that will be used in real-world settings into educational clinical simulations to better prepare students for clinical practice and promote patient safety. Electronic documentation can be harder to teach to students because it requires a more in-depth orientation on how to use the electronic documentation system and because health care organizations often give students limited or no access to the documentation system. This review will include a discussion on the benefits and disadvantages of using educational EHRs, barriers and facilitators to implementing educational EHRs, and best practices for incorporating educational EHRs into current educational curriculums.

Clinical documentation is a critical tool in supporting care provided to patients. Sound documentation provides a picture of clinical events that can be used to improve patient care. However, many other uses for clinical documentation are equally important. Such documentation informs clinical decision support tools, creates a legal record of patient care, assists in financial reimbursement of services, and serves as a repository for secondary data analysis. Conversely, poor documentation can impair patient safety and increase malpractice risk exposure by reflecting poor or inaccurate information that ultimately may guide patient care decisions.Through an examination of anesthesia-related closed claims, a descriptive qualitative study emerged, which explored the antecedents and consequences of documentation quality in the claims reviewed. A secondary data analysis utilized a database generated by the American Association of Nurse Anesthetists Foundation closed claim review team. Four major themes emerged from the analysis. Themes 1, 2, and 4 primarily describe how poor documentation quality can have negative consequences for clinicians. The third theme primarily describes how poor documentation quality that can negatively affect patient safety.

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