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☐ ☆ ✇ CIN: Computers, Informatics, Nursing

Improving Situation Awareness to Advance Patient Outcomes: A Systematic Literature Review

Por: Alqarrain, Yaser · Roudsari, Abdul · Courtney, Karen L. · Tanaka, Jim — Febrero 20th 2024 at 01:00
imageImproving nurses' situation awareness skills would likely improve patient status recognition and prevent adverse events. Technologies such as electronic health record dashboards can be a promising approach to support nurses' situation awareness. However, the effect of these dashboards on this skill is unknown. This systematic literature review explores the evidence around interventions to improve nurses' situation awareness at the point of care. Current research on this subject is limited. Studies that examined the use of electronic health record dashboards as an intervention had weak evidence to support their effectiveness. Other interventions, including communication interventions and structured nursing assessments, may also improve situation awareness, but more research is needed to confirm this. It is important to carefully consider the design and content of situation awareness interventions, as well as the specific outcomes being measured, when designing situation awareness interventions. Overall, there is a need for higher-quality research in this area to determine the most effective interventions for improving nurse situation awareness. Future studies should focus on developing dashboards that follow a theoretical situation awareness model information and represent all situation awareness levels.
☐ ☆ ✇ CIN: Computers, Informatics, Nursing

Nurse and Physician Perceptions and Decision Making During Interdisciplinary Communication: Factors That Influence Communication Channel Selection

imageErrors in decision making and communication play a key role in poor patient outcomes. Safe patient care requires effective decision making during interdisciplinary communication through communication channels. Research on factors that influence nurse and physician decision making during interdisciplinary communication is limited. Understanding influences on nurse and physician decision making during communication channel selection is needed to support effective communication and improved patient outcomes. The purpose of the study was to explore nurse and physician perceptions of and decision-making processes for selecting interruptive or noninterruptive interdisciplinary communication channels in medical-surgical and intermediate acute care settings. Twenty-six participants (10 RNs, 10 resident physicians, and six attending physicians) participated in semistructured interviews in two acute care metropolitan hospitals for this qualitative descriptive study. The Practice Primed Decision Model guided interview question development and early data analysis. Findings include a core category, Development of Trust in the Communication Process, supported by three main themes: (1) Understanding of Patient Status Drives Communication Decision Making; (2) Previous Interdisciplinary Communication Experience Guides Channel Selection; and (3) Perceived Usefulness Influences Communication Channel Selection. Findings from this study provide support for future design and research of communication channels within the EHR and clinical decision support systems.
☐ ☆ ✇ CIN: Computers, Informatics, Nursing

Clinical Knowledge Model for the Prevention of Healthcare-Associated Venous Thromboembolism

imageKnowledge models inform organizational behavior through the logical association of documentation processes, definitions, data elements, and value sets. The development of a well-designed knowledge model allows for the reuse of electronic health record data to promote efficiency in practice, data interoperability, and the extensibility of data to new capabilities or functionality such as clinical decision support, quality improvement, and research. The purpose of this article is to describe the development and validation of a knowledge model for healthcare-associated venous thromboembolism prevention. The team used FloMap, an Internet-based survey resource, to compare metadata from six healthcare organizations to an initial draft model. The team used consensus decision-making over time to compare survey results. The resulting model included seven panels, 41 questions, and 231 values. A second validation step included completion of an Internet-based survey with 26 staff nurse respondents representing 15 healthcare organizations, two electronic health record vendors, and one academic institution. The final knowledge model contained nine Logical Observation Identifiers Names and Codes panels, 32 concepts, and 195 values representing an additional six panels (groupings), 15 concepts (questions), and the specification of 195 values (answers). The final model is useful for consistent documentation to demonstrate the contribution of nursing practice to the prevention of venous thromboembolism.
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