Using electronic health records to classify risk for adverse safety events with ICU patient Mobility: A Cross-Sectional study.

Background: Integrating early mobility (EM) expert consensus recommendations into an algorithm that uses electronic health record (EHR) data provides an opportunity for ICU nurse decision support.

Objective: This study aimed to compare clinical differences in ICU EM algorithm domains among patients with and without documented EM and examine discordance between algorithm classification and documented EM.

Methods: Secondary analysis of EHR data from adults admitted to the ICU from one health system's electronic data warehouse.

Agreement between patient-reported and clinically documented symptoms of acute myeloid leukemia: Study protocol.

Aim: To describe our methods to compare patient-reported symptoms of acute myeloid leukemia and the corresponding documentation by healthcare providers in the electronic health record.

Background: Patients with acute myeloid leukemia experience many distressing symptoms, particularly related to chemotherapy. The timely recognition and provision of evidence-based interventions to manage these symptoms can improve outcomes.

Assessing Heart Failure Self-management Knowledge Through Vignettes.

Background: Heart failure (HF) self-care is key to managing symptoms, but current HF knowledge instruments are at risk for social desirability bias (ie, tendency to respond in a way that is viewed favorably). Vignettes may be a useful method to mitigate this bias by measuring knowledge via scenarios in which individuals with HF are invited to respond to fictional characters' self-management problems rather than disclosing their own practices.

Objective: The aims of the study were to develop and test the content validity of vignettes measuring individuals' knowledge of HF symptom self-management.

Using interoperable nursing care data to improve outcomes for multiple traumas patients with Impaired Physical Mobility.

Aim(s): To demonstrate how interoperable nursing care data can be used by nurses to create a more holistic understanding of the healthcare needs of multiple traumas patients with Impaired Physical Mobility. By proposing and validating linkages for the nursing diagnosis of Impaired Physical Mobility in multiple trauma patients by mapping to the Nursing Outcomes Classification (NOC) and Nursing Interventions Classification (NIC) equivalent terms using free-text nursing documentation.

Design: A descriptive cross-sectional design, combining quantitative analysis of interoperable data sets and the Kappa's coefficient score with qualitative insights from cross-mapping methodology and nursing professionals' consensus.

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

Errors 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.

The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem.

Importance: This manuscript will be of interest to most Clinical and Translational Science Awards (CTSA) as they retool for the increasing emphasis on translational science from translational research. This effort is an extension of the EDW4R work that most CTSAs have done to deploy infrastructure and tools for researchers to access clinical data.

Objectives: The Iowa Health Data Resource (IHDR) is a strategic investment made by the University of Iowa to improve access to real-world health data.

The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review.

Objectives: Electronic health records (EHRs) user interfaces (UI) designed for data entry can potentially impact the quality of patient information captured in the EHRs. This review identified and synthesized the literature evidence about the relationship of UI features in EHRs on data quality (DQ).

Materials And Methods: We performed an integrative review of research studies by conducting a structured search in 5 databases completed on October 10, 2022.

Examining Care Planning Efficiency and Clinical Decision Support Adoption in a System Tailoring to Nurses' Graph Literacy: National, Web-Based Randomized Controlled Trial.

Background: The proliferation of health care data in electronic health records (EHRs) is fueling the need for clinical decision support (CDS) that ensures accuracy and reduces cognitive processing and documentation burden. The CDS format can play a key role in achieving the desired outcomes. Building on our laboratory-based pilot study with 60 registered nurses (RNs) from 1 Midwest US metropolitan area indicating the importance of graph literacy (GL), we conducted a fully powered, innovative, national, and web-based randomized controlled trial with 203 RNs.

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.

FHIR-up! Advancing knowledge from clinical data through application of standardized nursing terminologies within HL7® FHIR®.

Health Level 7®'s (HL7) Fast Healthcare Interoperability Resources® (FHIR®) is leading new efforts to make data available to healthcare clinicians, administrators, and leaders. Standardized nursing terminologies were developed to enable nursing's voice and perspective to be visible within the healthcare data ecosystem. The use of these SNTs has been shown to improve care quality and outcomes, and to provide data for knowledge discovery.

Using Omaha System data to explore relationships between client outcomes, phenotypes, and targeted home intervention approaches: an exemplar examining practice effectiveness for older women with circulation problems.

Background: Improved health among older women remains elusive and may be linked to limited knowledge of and interventions targeted to population subgroups. Use of structured community nurse home visit data exploring relationships between client outcomes, phenotypes, and targeted intervention approaches may reveal new understandings of practice effectiveness.

Materials And Methods: Omaha System data of 2363 women 65 years and older with circulation problems receiving at least 2 community nurse home visits were accessed.

Removing the roadblocks to promoting health equity: finding the social determinants of health addressed in standardized nursing classifications.

Providing 80% of healthcare worldwide, nurses focus on physiologic and psychosocial aspects of health, which incorporate social determinants of health (SDOH). Recognizing their important role in SDOH, nurse informatics scholars included standardized measurable terms that identify and treat issues with SDOH in their classification systems, which have been readily available for over 5 decades. In this Perspective, we assert these currently underutilized nursing classifications would add value to health outcomes and healthcare, and to the goal of decreasing disparities.

Nurses' preferences for the format of care planning clinical decision support coded with standardized nursing languages.

Current electronic health records (EHRs) are often ineffective in identifying patient priorities and care needs requiring nurses to search a large volume of text to find clinically meaningful information. Our study, part of a larger randomized controlled trial testing nursing care planning clinical decision support coded in standardized nursing languages, focuses on identifying format preferences after random assignment and interaction to 1 of 3 formats (text only, text+table, text+graph). Being assigned to the text+graph significantly increased the preference for graph (P = .

Using artificial intelligence to improve pain assessment and pain management: a scoping review.

Context: Over 20% of US adults report they experience pain on most days or every day. Uncontrolled pain has led to increased healthcare utilization, hospitalization, emergency visits, and financial burden. Recognizing, assessing, understanding, and treating pain using artificial intelligence (AI) approaches may improve patient outcomes and healthcare resource utilization.

Evaluation of the effectiveness of nursing interventions in research from Brazilian postgraduation programs.

Purpose: The purpose of this study was to evaluate research from Brazilian postgraduate students who provide evidence of effectiveness for Nursing Interventions Classification (NIC).

Methods: We conducted a literature review study of thesis and dissertations available in the Brazilian Digital Library of Dissertations and Theses (D/T) in May 2021 regardless of the year they were conducted. In those studies that did not utilize the NIC in the effectiveness evaluation, the cross-mapping methodology was employed between NIC and the interventions used by the authors of the studies.

Supporting Decision-Making About Patient Mobility in the Intensive Care Unit Nurse Work Environment: Work Domain Analysis.

Background: Patient mobility is an evidenced-based physical activity intervention initiated during intensive care unit (ICU) admission and continued throughout hospitalization to maintain functional status, yet mobility is a complex intervention and not consistently implemented. Cognitive work analysis (CWA) is a useful human factors framework for understanding complex systems and can inform future technology design to optimize outcomes.

Objective: The aim of this study is to understand the complexity and constraints of the ICU work environment as it relates to nurses carrying out patient mobility interventions, using CWA.

Assessing the Usability of a Clinical Decision Support System: Heuristic Evaluation.

Background: Poor usability is a primary cause of unintended consequences related to the use of electronic health record (EHR) systems, which negatively impacts patient safety. Due to the cost and time needed to carry out iterative evaluations, many EHR components, such as clinical decision support systems (CDSSs), have not undergone rigorous usability testing prior to their deployment in clinical practice. Usability testing in the predeployment phase is crucial to eliminating usability issues and preventing costly fixes that will be needed if these issues are found after the system's implementation.

Conducting a representative national randomized control trial of tailored clinical decision support for nurses remotely: Methods and implications.

Clinical Decision Support (CDS) systems, patient specific evidence delivered to clinicians via the electronic health record (EHR) at the right time and in the right format, has the potential to improve patient outcomes. Unfortunately, outcomes of CDS research are mixed. A potential cause lies in its testing.

Spiritual Interventions Delivered by Nurses to Address Patients' Needs in Hospitals or Long-Term Care Facilities: A Systematic Review.

Despite increasing evidence of the benefits of spiritual care and nurses' efforts to incorporate spiritual interventions into palliative care and clinical practice, the role of spirituality is not well understood and implemented. There are divergent meanings and practices within and across countries. Understanding the delivery of spiritual interventions may lead to improved patient outcomes.

NANDA-I, NOC, and NIC linkages to SARS-CoV-2 (COVID-19): Part 3. Family response.

Purpose: To provide guidance to nurses caring for families with COVID-19, we developed linkages using interoperable standardized nursing terminologies: NANDA International (NANDA-I) nursing diagnoses, Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC). In addition, we wanted to identify gaps in the terminologies and potential new nursing diagnoses, outcomes, and interventions for future development related to nurse roles in family care during a pandemic.

Methods: Using a consensus process, seven nurse experts created the linkages focused on families during the COVID-19 pandemic using the following steps: (1) creating an initial list of potential nursing diagnoses, (2) selecting and categorizing outcomes that aligned with all components of each nursing diagnosis selected, and (3) identifying relevant nursing interventions.

Electronic health record usability and workload changes over time for provider and nursing staff following transition to new EHR.

The ubiquity of EHRs in healthcare means that small EHR inefficiencies can have a major impact on clinician workload. We conducted a sequential explanatory mixed methods study to: 1) identify EHR-associated workload and usability effects for clinicians following an EHR change over time, 2) determine workload and usability differences for providers (MD and Advance Practice Nurses) versus nurses (RNs and MAs), 3) determine if usability predicts workload, 4) identify potential sources of EHR design flaws. Workload (NASA-Task Load Index) and usability (System Usability Scale) measures were administered pre, 6-8 month and 30-32 months post-implementation.

Feasibility of a mHealth survey application for incarcerated and postrelease people living with HIV in a low-resource setting.

Mobile health (mHealth) holds considerable promise as a way to give people greater control of their health information, privacy, and sharing in the context of HIV research and clinical services. The purpose of this study was to determine the feasibility of an mHealth research application from the perspective of three stakeholder groups involved in an HIV clinical trial in Jakarta, Indonesia: (a) incarcerated people living with HIV (PLWH), (b) research assistants (RAs), and (c) research investigators. Incarcerated PLWH (n = 150) recruited from two large all-male prisons completed questionnaires, including questions about mHealth acceptability, on an mHealth survey application using a proprietary data collection software development platform.

Required data elements for interprofessional rounds through the lens of multiple professions.

The lack of a proper system for ongoing open interprofessional communication among care providers increases miscommunications and medical errors. Seamless access to patient information is important for care providers to prevent miscommunication and improve patient safety. A shared understanding of the information needs of different care providers in an interprofessional team is lacking.