A Systematic Review of Nurses' Perceptions of Electronic Health Record Usability Based on the Human Factor Goals of Satisfaction, Performance, and Safety.

The poor usability of electronic health records contributes to increased nurses' workload, workarounds, and potential threats to patient safety. Understanding nurses' perceptions of electronic health record usability and incorporating human factors engineering principles are essential for improving electronic health records and aligning them with nursing workflows. This review aimed to synthesize studies focused on nurses' perceived electronic health record usability and categorize the findings in alignment with three human factor goals: satisfaction, performance, and safety. This systematic review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis. Five hundred forty-nine studies were identified from January 2009 to June 2023. Twenty-one studies were included in this review. The majority of the studies utilized reliable and validated questionnaires (n = 15) to capture the viewpoints of hospital-based nurses (n = 20). When categorizing usability-related findings according to the goals of good human factor design, namely, improving satisfaction, performance, and safety, studies used performance-related measures most. Only four studies measured safety-related aspects of electronic health record usability. Electronic health record redesign is necessary to improve nurses' perceptions of electronic health record usability, but future efforts should systematically address all three goals of good human factor design.

Future advancement of health care through standardized nursing terminologies: reflections from a Friends of the National Library of Medicine workshop honoring Virginia K. Saba.

OBJECTIVE: To honor the legacy of nursing informatics pioneer and visionary, Dr. Virginia Saba, the Friends of the National Library of Medicine convened a group of international experts to reflect on Dr. Saba's contributions to nursing standardized nursing terminologies. PROCESS: Experts led a day-and-a-half virtual update on nursing's sustained and rigorous efforts to develop and use valid, reliable, and computable standardized nursing terminologies over the past 5 decades. Over the course of the workshop, policymakers, industry leaders, and scholars discussed the successful use of standardized nursing terminologies, the potential for expanded use of these vetted tools to advance healthcare, and future needs and opportunities. In this article, we elaborate on this vision and key recommendations for continued and expanded adoption and use of standardized nursing terminologies across settings and systems with the goal of generating new knowledge that improves health. CONCLUSION: Much of the promise that the original creators of standardized nursing terminologies envisioned has been achieved. Secondary analysis of clinical data using these terminologies has repeatedly demonstrated the value of nursing and nursing's data. With increased and widespread adoption, these achievements can be replicated across settings and systems.

National Center for Interprofessional Practice and Education IPE core data set and information exchange for knowledge generation.

Since 2012, the National Center for Interprofessional Practice and Education has worked with over 70 sites implementing over 100 interprofessional education and collaborative practice (IPECP) programs in the United States (U.S.). Program leaders have contributed data and information to the National Center to inform an approach to advancing the science of interprofessional practice and education (IPE), called IPE Knowledge Generation. This paper describes how the evolution of IPE Knowledge Generation blends traditional research and evaluation approaches with the burgeoning field of health informatics and big data science. The goal of IPE Knowledge Generation is to promote collaboration and knowledge discovery among IPE program leaders who collect comparable, sharable data in an information exchange. This data collection then supports analysis and knowledge generation. To enable the approach, the National Center uses a structured process for guiding IPE program design and implementation in practice settings focused on learning and the Quadruple Aim outcomes while collecting the IPE core data set and the contribution of contemporary big data science.

The National United States Center Data Repository: Core essential interprofessional practice & education data enabling triple aim analytics.

Understanding the impact that interprofessional education and collaborative practice (IPECP) might have on triple aim patient outcomes is of high interest to health care providers, educators, administrators, and policy makers. Before the work undertaken by the National Center for Interprofessional Practice and Education at the University of Minnesota, no standard mechanism to acquire and report outcome data related to interprofessional education and collaborative practice and its effect on triple aim outcomes existed. This article describes the development and adoption of the National Center Data Repository (NCDR) designed to capture data related to IPECP processes and outcomes to support analyses of the relationship of IPECP on the Triple Aim. The data collection methods, web-based survey design and implementation process are discussed. The implications of this informatics work to the field of IPECP and health care quality and safety include creating standardized capacity to describe interprofessional practice and measure outcomes connecting interprofessional education and collaborative practice to the triple aim within and across sites/settings, leveraging an accessible data collection process using user friendly web-based survey design to support large data scholarship and instrument testing, and establishing standardized data elements and variables that can potentially lead to enhancements to national/international information system and academic accreditation standards to further team-based, interprofessional, collaborative research in the field.

The United States National Center for Interprofessional Practice and Education: Integrating an informatics approach to interprofessional work.

The National Center for Interprofessional Practice and Education, a United States public-private partnership, was formed to provide national leadership, scholarship, evidence, and coordination to advance interprofessional education (IPE) and practice. Many external drivers led to the creation of the partnership that culminated in the National Center: patient safety initiatives, the need for care coordination and transitions efforts, quality improvement imperatives, calls for teamwork and workforce optimization, newly defined national core competencies for interprofessional collaborative practice, practice redesign, escalating health care costs, and state and federal policies. The National Center principals who have served in a variety of senior leadership roles--a clinician, educationalist, and informaticist--recognized the opportunity to leverage the potential that informatics could bring not only to the center but also to the field of IPECP. An informatics approach focuses on collaborative processes and works to address information processing, communications, and data collection. To do so, the National Center created multiple platforms: informatics education, a resource exchange, communication strategy, incubator network, national data repository, and learning system.

Nursing standards to support the electronic health record.

Quality and low cost health care that is free of medical mistakes requires continuity of person-centric healthcare information across the life span and healthcare settings. Interoperable clinical information systems that rely on the use of multiple standards to support health information exchange and, in particular, nurse sensitive data, information, and knowledge are key components to support high quality, safe care. A 2004 Executive Order called for a National Health Information Network and the widespread adoption of electronic health records (EHRs) by 2014. While there are numerous standards influencing the exchange of health data, the primary focus of this article is to synthesize the state-of-the-art in nursing standardized terminologies to support the development, exchange, and communication of nursing data. Research exemplars are described for information systems to support nursing practice using standardized terminologies and secondary use of standardized nursing data from EHRs for knowledge development.

Predicting the impact of an electronic health record on practice patterns using computational modeling and simulation.

The overall purpose of this research study is to discover and apply new knowledge regarding methods to predict the impact of an electronic health record (EHR) on clinical practice guidelines in complex systems such as hospitals. Specifically, the aims of this study are: 1) to build, simulate and validate the accuracy of a computational model representing the current practice patterns in a sample of patients diagnosed with heart failure (HF) and treated in a community hospital; and 2) using computational modeling and simulation, develop a method to predict the effects of best practice guidelines on practice patterns after implementation of an EHR.

The benefits of standardized nursing languages in complex adaptive systems such as hospitals.

Paperwork is a major source of frustration for hospital nurses and takes valuable time away from patient care. Studies indicate that nurses spend an estimated 13% to 28% of total shift time documenting. The growth in documentation requirements for nurses can, in part, be attributed to an exponential rise in health system complexity. Authors explore the documentation of nursing care plans from a complex adaptive system perspective and then analyze the utility of adopting a standardized nursing language. An actual case history of a nursing unit's attempt to reduce complexity, improve completion time, and increase staff satisfaction in care planning by adopting a standardized nursing language is provided to emphasize a practical application.

Complex nursing systems.

The specific aim of this paper is to identify the causes underlying the growth in health care system complexity, discuss challenges nurse administrators face as a result of it and suggest strategies for better decision-making in complex system environments. This paper further discusses the merits of computational modelling and simulation which can assist nurse administrators predict the results of their decisions through a virtual complex system environment.