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Alarm fatigue is a complex phenomenon that needs to be assessed within the context of the clinical setting. Considering that complexity, the available information on how to address alarm fatigue and improve alarm system safety is relatively scarce. This article summarizes the state of science in alarm system safety based on the eight dimensions of a sociotechnical model for studying health information technology in complex adaptive healthcare systems. The summary and recommendations were guided by available systematic reviews on the topic, interventional studies published between January 2019 and February 2022, and recommendations and evidence-based practice interventions published by professional organizations. The current article suggests implications to help researchers respond to the gap in science related to alarm safety, help vendors design safe monitoring systems, and help clinical leaders apply evidence-based strategies to improve alarm safety in their settings. Physiologic monitors in intensive care units—the devices most commonly used in complex care environments and associated with the highest number of alarms and deaths—are the focus of the current work.

Background Clinical alarm system safety is a national patient safety goal in the United States. Physiologic monitors are associated with the highest number of device alarms and alarm-related deaths. However, research involving nurses’ use of physiologic monitors is rare. Hence, the identification of critical usability issues for monitors, especially those related to patient safety, is a nursing imperative. Objective This study examined nurses’ usability of physiologic monitors in intensive care units with respect to the effectiveness and efficiency of monitor use. Methods In total, 30 nurses from 4 adult intensive care units completed 40 tasks in a simulation environment. The tasks were common monitoring tasks that were crucial for appropriate monitoring and safe alarm management across four categories of competencies: admitting, transferring, and discharging patients using the monitors (7 tasks); managing measurements and monitor settings (23 tasks); performing electrocardiogram (ECG) analysis (7 tasks); and troubleshooting alarm conditions (3 tasks). The nurse-monitor interaction was video-recorded. The principal investigator and two expert intensive care units nurse educators identified, classified, and validated task success (effectiveness) and the time of task completion (efficiency). Results Among the 40 tasks, only 2 (5%) were successfully completed by all the nurses. At least 1-27 (3%-90%) nurses abandoned or did not correctly perform 38 tasks. The task with the shortest completion time was “take monitor out of standby” (mean 0:02, SD 0:01 min:s), whereas the task “record a 25 mm/s ECG strip of any of the ECG leads” had the longest completion time (mean 1:14, SD 0:32 min:s). The total time to complete 37 navigation-related tasks ranged from a minimum of 3 min 57 s to a maximum of 32 min 42 s. Regression analysis showed that it took 6 s per click or step to successfully complete a task. To understand the nurses’ thought processes during monitor navigation, the authors analyzed the paths of the 2 tasks with the lowest successful completion rates, where only 13% (4/30) of the nurses correctly completed these 2 tasks. Although 30% (9/30) of the nurses accessed the correct screen first for task 1 and task 2, they could not find their way easily from there to successfully complete the 2 tasks. Conclusions Usability testing of physiologic monitors revealed major ineffectiveness and inefficiencies in the current nurse-monitor interactions. The results indicate the potential for safety and productivity issues in completing routine tasks. Training on monitor use should include critical monitoring functions that are necessary for safe, effective, efficient, and appropriate monitoring to include knowledge of the shortest navigation path. It is imperative that vendors’ future monitor designs mimic clinicians’ thought processes for successful, safe, and efficient monitor navigation.

BACKGROUND Clinical alarm system safety is a national patient safety goal in the United States. Physiologic monitors are associated with the highest number of device alarms and alarm-related deaths. However, research involving nurses’ use of physiologic monitors is rare. Hence, the identification of critical usability issues for monitors, especially those related to patient safety, is a nursing imperative. OBJECTIVE This study examined nurses’ usability of physiologic monitors in intensive care units with respect to the effectiveness and efficiency of monitor use. METHODS In total, 30 nurses from 4 adult intensive care units completed 40 tasks in a simulation environment. The tasks were common monitoring tasks that were crucial for appropriate monitoring and safe alarm management across four categories of competencies: admitting, transferring, and discharging patients using the monitors (7 tasks); managing measurements and monitor settings (23 tasks); performing electrocardiogram (ECG) analysis (7 tasks); and troubleshooting alarm conditions (3 tasks). The nurse-monitor interaction was video-recorded. The principal investigator and two expert intensive care units nurse educators identified, classified, and validated task success (effectiveness) and the time of task completion (efficiency). RESULTS Among the 40 tasks, only 2 (5%) were successfully completed by all the nurses. At least 1-27 (3%-90%) nurses abandoned or did not correctly perform 38 tasks. The task with the shortest completion time was “take monitor out of standby” (mean 0:02, SD 0:01 min:s), whereas the task “record a 25 mm/s ECG strip of any of the ECG leads” had the longest completion time (mean 1:14, SD 0:32 min:s). The total time to complete 37 navigation-related tasks ranged from a minimum of 3 min 57 s to a maximum of 32 min 42 s. Regression analysis showed that it took 6 s per click or step to successfully complete a task. To understand the nurses’ thought processes during monitor navigation, the authors analyzed the paths of the 2 tasks with the lowest successful completion rates, where only 13% (4/30) of the nurses correctly completed these 2 tasks. Although 30% (9/30) of the nurses accessed the correct screen first for task 1 and task 2, they could not find their way easily from there to successfully complete the 2 tasks. CONCLUSIONS Usability testing of physiologic monitors revealed major ineffectiveness and inefficiencies in the current nurse-monitor interactions. The results indicate the potential for safety and productivity issues in completing routine tasks. Training on monitor use should include critical monitoring functions that are necessary for safe, effective, efficient, and appropriate monitoring to include knowledge of the shortest navigation path. It is imperative that vendors’ future monitor designs mimic clinicians’ thought processes for successful, safe, and efficient monitor navigation.

Background Health information technology (IT) usability issues are a key concern for nurse executives and nurses. Objectives The aims of this study are to understand usability pain points faced by nurses regarding the use of health IT, identify their impact and importance, discuss responsibilities, and develop possible solutions to improve the health IT-user experience for nurses. Methods Twenty-seven experts were interviewed including nursing leaders, informaticists, executives, engineers, researchers, and human factors experts across acute care, long-term care, and vendor settings. Semistructured questions guided the interviews, and content analysis was used to identify themes. Results Four themes emerged: 1) user experience pain points, 2) importance of the issues, 3) the responsibility gap, and 4) acting on usability issues. Conclusion Nurses continue to endure significant health IT-usability issues that negatively impact patients, nurses, and healthcare organizations. Solutions include enhancing the voice of nursing at the national and local levels, creating a digital strategy for nursing, providing incentives to improve usability in health IT, and accelerating the understanding of nurses' work intended to inform and translate nurses' work into health IT design.

Background In early 2016 the Partnership for Health IT Patient Safety released safe practice recommendations for the use of copy-paste for electronic health record (EHR) documentation. These recommendations do not directly address nurses‘ use of copy-forward to document patient assessments in flow sheet software in hospital settings. Similar to clinicians' use of copy-paste and copy-forward with progress notes, concerns exist about patient safety issues from the use of potential inaccurate or outdated information to achieve increased efficiency of documentation. Methods A multiple-methods approach—which included a literature review, litigation search, stakeholder analysis, and consensus opinion from experts from multiple disciplines—was employed. Results Four recommendations correspond closely with copy-paste guidance for EHR documentation from the Partnership: (1) Provide a mechanism to make copied-forward content easily identifiable, (2) Ensure that the provenance of copied-forward content is readily available, (3) Ensure adequate staff training and education regarding the appropriate and safe use of copy-forward in flow sheet software, if available, and (4) Ensure that copy-forward practices are regularly monitored, measured, and assessed. A fifth additional recommendation is made to improve the efficiency of data entry mechanisms, which may reduce patient safety risk. Emerging promising areas for innovation are to optimize interface usability and flow sheet content, use templates, use digital photographs, and eliminate work-flow steps with better methods for authentication and data entry. Conclusions A thoughtful and measured approach to safe use of copy-forward in flow sheets by nurses in hospital settings is expected to result in improvements in efficiency of documentation, work flow, and accuracy of information.

Chronic diseases, including diabetes, constitute a substantial disease burden around the world. Mobile self-management systems now play a significant and increasingly important role in patients' disease management. Yet, patients' perceptions of these systems after longer-term use are largely unexplored. A random sample of 10 diabetes patients was assessed immediately after they exited a larger, 6-month randomized controlled trial on the use of a mHealth system called Care4Life. This descriptive, exploratory study assessed patients' perceptions and experiences of mHealth using a questionnaire and semistructured interview whose development was guided by the Technology Acceptance Model. Results indicated that patients saw clear benefits in using the technology and had favorable behavioral disease outcomes after using Care4Life. Suggestions for improving the system were highly individual despite the apparent homogeneity of the patient group. The study begins to fill the gap about the longer-term use of mHealth systems in chronic disease management and reflects the significance of individual needs for mHealth systems.

Nurses published dialogues on wisdom; yet, a conceptual model is unavailable. We present the development process for a theory of wisdom-in-action for clinical nursing developed in 3 phases: (1) a deductively derived model using derivation and synthesis; (2) inductively, a constructivist grounded theory captured the experience of wisdom in nursing practice; and (3) the 2 theories were synthesized into a nascent theory. The theory describes 2 antecedent dimensions, person-related and setting-related factors, and 2 types of wisdom, general and personal. The theory provides a framework for translating wisdom in nursing practice, depicting both the science and art of nursing.