Search

With artificial intelligence (AI) rapidly advancing, advanced practice nurses must understand and use it responsibly. Here, we describe an assignment in which Doctor of Nursing Practice (DNP) students learned to use generative text AI. Using our program and course outcomes, developed from the 2021 American Association of Colleges of Nursing (AACN) Essentials competency for DNP students to learn and use AI, we reviewed the literature seeking examples using ChatGPT for the DNP informatics course. No published examples existed to guide us toward infusing a ChatGPT assignment into the course. We developed a novel assignment that included a guide for students on how to use ChatGPT. Students were given time before the assignment to learn the AI/chatbot technology. They were then given the assignment and grading rubric. The assignment was to develop a tool for their current or future practice using ChatGPT. During the course faculty debrief, we learned that few students had questions and the assignment was clear. We also learned that students who sought to develop straightforward, uncomplicated patient tools succeeded with the technology. Those who sought to create something for complex patients had more challenges. Nursing education and practice will be influenced by the increasing prevalence of AI. This manuscript outlines an AI-based assignment for graduate nursing education intended for the students to become familiar with current AI and best practices for patient care. The assignment was well received by students. We plan to use it again in the next course offering. [ABSTRACT FROM AUTHOR]

Aim: This study examines the intricate language and communication patterns of nurse‐to‐nurse handoffs across three units with varying patient acuity levels and nurse–patient ratios, seeking to identify linguistic factors that may affect the quality of information transfer and patient outcomes. Design: A mixed‐methods cross‐sectional design. Methods: This study used the Nurse‐to‐Nurse Transition of Care Communication Model to explore the content and meaning of language in nursing handoffs within a large academic medical centre. Data were collected on three units through digital audio recordings of 20 handoffs between June and September 2022, which were transcribed and analysed using the Linguistic Inquiry Word Count programme. Trustworthiness was established by adhering to COREQ and STROBE guidelines for qualitative and quantitative research, respectively. Results: Analysis revealed a preference for casual, narrative language across all units, with ICU nurses demonstrating a higher confidence and leadership in communication. Cognitive processes such as insight and causation were found to be underrepresented, indicating a potential area for miscommunication. Communication motives driven by affiliation were more pronounced in ICU settings, suggesting a strong collaborative nature. No significant differences were observed among the units post multiple testing adjustments. Speech dysfluencies were most pronounced in ICU handoffs, reflecting possible stress and cognitive overload. Conclusion: The study highlights the need for improved communication strategies such as interventions to enhance language clarity and incorporating technological tools into handoff processes to mitigate potential miscommunications and errors. The findings advance nursing science by highlighting the critical role of nuanced language in varied‐acuity hospital settings and the necessity for structured nurse education in handoff communication and standardized handoff procedures. Implications for the profession and patient care: This study underscores the critical role of language in nurse‐to‐nurse handoffs. It calls for enhanced communication strategies, technology integration and training to reduce medical errors, improving patient outcomes in high‐acuity hospital settings. Patient or Public Contribution: Nurses only. [ABSTRACT FROM AUTHOR]

Background: Type II workplace violence in health care, perpetrated by patients/clients toward home healthcare nurses, is a serious health and safety issue. A significant portion of violent incidents are not officially reported. Natural language processing can detect these "hidden cases" from clinical notes. In this study, we computed the 12-month prevalence of Type II workplace violence from home healthcare nurses' clinical notes by developing and utilizing a natural language processing system. Methods: Nearly 600,000 clinical visit notes from two large U.S.-based home healthcare agencies were analyzed. The notes were recorded from January 1, 2019 to December 31, 2019. Rule- and machine-learning-based natural language processing algorithms were applied to identify clinical notes containing workplace violence descriptions. Results: The natural language processing algorithms identified 236 clinical notes that included Type II workplace violence toward home healthcare nurses. The prevalence of physical violence was 0.067 incidents per 10,000 home visits. The prevalence of nonphysical violence was 3.76 incidents per 10,000 home visits. The prevalence of any violence was four incidents per 10,000 home visits. In comparison, no Type II workplace violence incidents were recorded in the official incident report systems of the two agencies in this same time period. Conclusions and Application to Practice: Natural language processing can be an effective tool to augment formal reporting by capturing violence incidents from daily, ongoing, large volumes of clinical notes. It can enable managers and clinicians to stay informed of potential violence risks and keep their practice environment safe. [ABSTRACT FROM AUTHOR]

Purpose: To analyze the AI research in the field of nursing, to explore the current situation, hot topics, and prospects of AI research in the field of nursing, and to provide a reference for researchers to carry out related studies. Methods: We used the VOSviewer 1.6.17, SciMAT, and CiteSpace 5.8.R3 to generate visual cooperation network maps for the country, organizations, authors, citations, and keywords and perform burst detection, theme evolution, and so forth. Findings A total of 9318 articles were obtained from the Web of Science Core Collection database. Four hundred and thirty‐one AI research related to the field of nursing was published by 855 institutions from 54 countries. CIN‐Computers Informatics Nursing was the top productive journal. The United States was the dominant country. The transnational cooperation between authors from developed countries was closer than that between authors from developing countries. The main hot topics included nurse rostering, nursing diagnosis, nursing decision support, disease risk factor prediction, nursing big data management, expert system, support vector machine, decision tree, deep learning, natural language processing, and nursing education. Machine learning represented one of the cutting‐edge and most applicable branches of artificial intelligence in the field of nursing, and deep learning was the hottest technology among many machine learning methods in recent years. One of the most cited papers was published by Burke in 2004 and cited 500 times, which critically evaluated AI methods to deal with nurse scheduling problems. Conclusions: Although AI has been paid more and more attention to the field of nursing, there is still a lack of high‐yielding authors who have been engaged in this field for a long time. Most of the high contribution authors and institutions came from developed countries; therefore, more transnational and multi‐disciplinary cooperation is needed to promote the development of AI in the nursing field. This bibliometric analysis not only provided a comprehensive overview to help researchers to understand the important articles, journals, potential collaborators, and institutions in this field but also analyzed the history, hot spots, and future trends of the research topic to provide inspiration for researchers to choose research directions. [ABSTRACT FROM AUTHOR]

Nowadays, data science is emerging as an integral concept of nearly every discipline. Thus, the library and information science professionals have also become interested in data science and as a result have started to contribute the scholarly literature on this topic of significance. This article discussed a study dedicated towards mapping the published literature on data science and library and information science through EBSCO library and information science source till December 2021. The results of this study show that the majority of the literature was produced in the year 2020, single authors, sole universities, United States of America (USA) country, in the Journal of Medical Internet Research and Proceedings of the Association for Information Science & Technology journals and on theme of 'data science concept'. [ABSTRACT FROM AUTHOR]

In a previous study, sepsis was noted as a diagnosis on the home health record only 4% of the time for 165,000 sepsis survivors transitioning from hospital to home health care in America. If sepsis and other conditions are not clearly documented in the transitional care record this can lead to unpreparedness, missed, care, and poor patient outcomes. Our implementation science study discovered a source of this problem regarding the sepsis documentation in 16 hospitals referring to five home care agencies. Together, researchers, hospital, and home care personnel developed and implemented two information technology solutions to address this deficit in seven hospitals. The automated method was more readily adopted and effective in improving information transfer between hospital and home health care.

Burnout and workforce shortages are having a negative impact on nurses globally, particularly after the COVID-19 pandemic. Within the United States, excessive documentation burden (DocBurden) has been linked to nurse burnout. The experience of a system or system-imposed process inhibiting patient care is a core focus area of nursing informatics research. The American Medical Informatics Association (AMIA) 25x5 Task Force to Reduce DocBurden was created in 2022 to decrease U.S. health professionals' excessive DocBurden to 25% of current state within five years through impactful solutions across health systems that decrease non-value-added documentation, and leverage public/private partnerships and advocacy. This case study will describe the work of the 25x5 Task Force that is relevant to nursing practice. Specifically, we will describe three projects: A) Toolkit for Reducing Excessive DocBurden, B) Development of Pulse Survey for Health Professionals Perceived DocBurden, and C) HIT Roadmap to Promote Interoperability.

The full potential for electronic health record systems in facilitating a positive transformation in care, with improvements in quality and safety, has yet to be realised. There remains a need to reconceptualise the structure, content and use of the nursing component of electronic health record systems. The aim of this study was to engage and involve a diverse group of stakeholders, including nurses and electronic health record system developers, in exploring together both issues and possible new approaches to documentation that better fit with practice, and that facilitate the optimal use of recorded data. Three focus groups were held in the UK and USA, using a semi-structured interview guide, and a common reflexive approach to analysis. The findings were synthesised into themes that were further developed into a set of development principles that might be used to inform a novel electronic health record system specification to support nursing practice.

The Trusted Exchange Framework and Common Agreement (TEFCA) is a U.S. government initiative aimed at promoting the secure and interoperable exchange of electronic health information (EHI) across the healthcare ecosystem. In the U.S., TEFCA was established as part of the 21st Century Cures Act, signed into law in December 2016. Methods: A literature search using the PRISMA guidelines will be conducted through PubMed, CINAHL, Google Scholar, and Web of Science, for dates 2013-2024 will be conducted. Results will be demonstrated with a timeline, graphics, and written text on the key points of technical and operational standards for HIE, rules and expectations for data sharing under the Common Agreement, governance framework for implementation and enforcement principles, stakeholders and collaborators, and interoperability challenges. TEFCA seeks to improve patient care, reduce healthcare costs, and enhance overall healthcare quality by facilitating the seamless exchange of data between different healthcare entities. Sharing this information can contribute to nursing informatics practice and knowledge as the U.S. and other countries strive towards better interoperability in the race to improve patient care and outcomes using health information technology.

The American Association of Colleges of Nursing (AACN) is shifting the nursing education paradigm to competency-based education. Competency-based nursing education focuses on the nursing students' demonstration of knowledge. This shift in nursing education will rely on performance measures and data to determine success. Data and artificial intelligence can provide the nursing student with a targeted evaluation from the nursing faculty. Building on prior applications of "precision" and the use of data to drive precision medicine or precision nursing, nursing informatics is well-positioned for this paradigm shift to support data and artificial intelligence in nursing education. Little is understood about the concept of "precision nursing education" and its implications. We completed a concept analysis and defined the concept of "precision nursing education" as the use of data and artificial intelligence to measure student nurses' performance with competency-based nursing education.

Objective: The study aimed to develop natural language processing (NLP) algorithms to automate extracting patient-centred breast cancer treatment outcomes from clinical notes in electronic health records (EHRs), particularly for women from under-represented populations., Methods: The study used clinical notes from 2010 to 2021 from a tertiary hospital in the USA. The notes were processed through various NLP techniques, including vectorisation methods (term frequency-inverse document frequency (TF-IDF), Word2Vec, Doc2Vec) and classification models (support vector classification, K-nearest neighbours (KNN), random forest (RF)). Feature selection and optimisation through random search and fivefold cross-validation were also conducted., Results: The study annotated 100 out of 1000 clinical notes, using 970 notes to build the text corpus. TF-IDF and Doc2Vec combined with RF showed the highest performance, while Word2Vec was less effective. RF classifier demonstrated the best performance, although with lower recall rates, suggesting more false negatives. KNN showed lower recall due to its sensitivity to data noise., Discussion: The study highlights the significance of using NLP in analysing clinical notes to understand breast cancer treatment outcomes in under-represented populations. The TF-IDF and Doc2Vec models were more effective in capturing relevant information than Word2Vec. The study observed lower recall rates in RF models, attributed to the dataset's imbalanced nature and the complexity of clinical notes., Conclusion: The study developed high-performing NLP pipeline to capture treatment outcomes for breast cancer in under-represented populations, demonstrating the importance of document-level vectorisation and ensemble methods in clinical notes analysis. The findings provide insights for more equitable healthcare strategies and show the potential for broader NLP applications in clinical settings., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

During a pandemic, basic public health precautions must be taken across settings and populations. However, confinement conditions change what can be done in correctional settings. Correctional nursing (CN) care, like all nursing care, needs to be named and encoded to be recognized and used to generate data that will advance the discipline and maintain standards of care. The Omaha System is a standardized interprofessional terminology that has been used since 1992 to guide and document care. In 2019, a collaboration between the newly formed American Correctional Nurses Association and the Omaha System Community of Practice began a joint effort with other stakeholders aimed at encoding evidence-based pandemic response interventions used in CN. The resulting guidelines are included and illustrated with examples from CN practice. [ABSTRACT FROM AUTHOR]

Purpose: This article reviews the missions of the U.S. Department of Veterans Affairs (VA) and the evolution of its electronic health record (EHR), the Veterans Health Information Systems and Technology Architecture (VistA). This system, along with its clinical graphical user interface the Computerized Patient Record System, form a key link in VA health care. A Veteran who receives healthcare through the VA can have their EHR accessed by clinicians at any VA healthcare facility across the United States and its territories. Data aggregated daily at a corporate data warehouse supports VA quality improvement and research. Organizing Construct: Serving over 9 million Veterans, the VA is one of the largest integrated healthcare systems in the United States. It has been a leader in the development and use of healthcare informatics, EHR, and big data analytics for over 30 years. Nurses engaged in major roles in the evolution of these developments. Conclusions: With over 500 nurses as members, the Office of Nursing Informatics' Field Alliance demonstrates the VA's continuing commitment to fostering nursing informatics. The commitment includes investment by the VA to develop nursing informaticists from among its own staff. Clinical Relevance: Exemplars of the impact of nursing informatics are shared. Future directions include an EHR that begins during military service and follows the Veteran into VA health care. [ABSTRACT FROM AUTHOR]

Digitalization is the future and, simultaneously, a challenge for nursing. In addition, health literacy is increasingly associated with the use of technology. Older adults are greatly underrepresented in the use of digital technology and regarded as a vulnerable group. Consequently, training programs for technological knowledge and improving technological competencies are indispensable to promote equal opportunities and health literacy. The researchers inquire what characterizes nursing informatics as an expanding field in relation to the roles and competencies of nurses in technical appropriation processes of older adults. We conducted a scoping review based on a systematic literature search. We identified 23 relevant studies and developed a modular system to characterize the potential of nursing informatics: nursing informatics as a profession, competencies of nurses and nursing informatics, assessments, and eHealth literacy. Nursing informatics is a new field in some countries, but competence profiles and role descriptions clearly show that nurses act as educators, supporters, advocates, and mediators. [ABSTRACT FROM AUTHOR]

The US healthcare system is moving into a new era of value-based care, which focuses on delivering safer and higher quality care while reducing costs. Health information exchange (HIE) has been a vital component in this process; however, there has been a lack of awareness and use of HIE among nurse leaders, clinicians, and researchers. The purpose of this article is to provide nurses and administrators with a brief overview of HIE and its impact on care delivery, as well as practical applications using specific case examples. [ABSTRACT FROM AUTHOR]

Supplemental digital content is available in the text. Background: About 30% of home healthcare patients are hospitalized or visit an emergency department (ED) during a home healthcare (HHC) episode. Novel data science methods are increasingly used to improve identification of patients at risk for negative outcomes. Objectives: The aim of the study was to identify patients at heightened risk hospitalization or ED visits using HHC narrative data (clinical notes). Methods: This study used a large database of HHC visit notes (n = 727,676) documented for 112,237 HHC episodes (89,459 unique patients) by clinicians of the largest nonprofit HHC agency in the United States. Text mining and machine learning algorithms (Naïve Bayes, decision tree, random forest) were implemented to predict patient hospitalization or ED visits using the content of clinical notes. Risk factors associated with hospitalization or ED visits were identified using a feature selection technique (gain ratio attribute evaluation). Results: Best performing text mining method (random forest) achieved good predictive performance. Seven risk factors categories were identified, with clinical factors, coordination/communication, and service use being the most frequent categories. Discussion: This study was the first to explore the potential contribution of HHC clinical notes to identifying patients at risk for hospitalization or an ED visit. Our results suggest that HHC visit notes are highly informative and can contribute significantly to identification of patients at risk. Further studies are needed to explore ways to improve risk prediction by adding more data elements from additional data sources. [ABSTRACT FROM AUTHOR]

AIM The purpose of the study was to evaluate the validity of the Clinical Simulation Competency Assessment Tool (ClinSimCAT). BACKGROUND The 2011 Future of Nursing report encouraged nursing programs to move toward a competency-based approach to education. As no tool was found to holistically evaluate nursing student competency in clinical and simulation settings, we developed the ClinSimCAT based on the Institute of Medicine recommended competencies. METHOD A Delphi study with three rounds was conducted. A national sample of nursing education and simulation leaders was used to achieve consensus about the competencies. RESULTS The process resulted in a set of 20 competencies across eight domains (patient-centered care, teamwork and collaboration, evidence-based practice, quality improvement, safety, informatics, professionalism, and systems-based practice). CONCLUSION The ClinSimCAT has demonstrated evidence of content validity and can be used for evaluation of clinical and simulation across a variety of undergraduate nursing courses. [ABSTRACT FROM AUTHOR]

Data-science employment opportunities of varied complexity and environment are in growing demand across the globe. Data science as a discipline potentially offers a wealth of jobs to prospective employees, while traditional information science--based roles continue to decrease as budgets get cut across the United States. Since, historically, data are related closely to information, this research will explore the education of US iSchool professionals and compare it to traditional data-science roles being advertised within the job market. Through a combination of latent semantic analysis of over 1,600 job postings and iSchool course documentation, the aim of the article is to explore the intersection of library and information science and data science. It is hoped that these research findings will guide future directions for library and information science professionals into data science--driven roles, while also examining and highlighting the data-science techniques currently driven by the education of iSchool professionals. In addition, the aim is to understand how data science could benefit from a mutually symbiotic relationship with the field of information science, since, statistically, data scientists spend too much time working on data prepara- tion and not nearly enough time conducting scientific inquiry. The results of this examination will potentially guide future directions of iSchool students and professionals toward more cooperative data science roles and guide future research into the intersection between iSchools and data science and possibilities for partnership. [ABSTRACT FROM AUTHOR]

Gaming provides a number of social and educational benefits, and while games are present to an extent in American libraries, content related to supporting games and gaming in libraries is largely lacking in library programs in the United States. The researchers used a survey to determine factors that affected LIS educators' inclinations to include or exclude content related to gaming in their curricula. LIS educators who included gaming-related content tended to have had more experience with gaming, higher preferences for multiple genres of games, more teaching experience, and a position title indicating tenure. LIS educators who excluded gaming-related content tended to have less experience with gaming, lower preferences for multiple genres of games, less teaching experience, and a position title indicating untenured status. LIS educators who currently excluded gaming from their curricula but had an interest in including it indicated that professional development materials and experiences, such as conference workshops, course modules, or best practices guidebooks might encourage them to do so. [ABSTRACT FROM AUTHOR]

Nursing leadership can play an essential role in the development of nursing informatics solutions by virtue of their broad understanding and oversight of nursing care. We describe a systems-level method for creating nursing informatics solutions with clearly defined structure and leadership from nursing executives. Based on the guiding principles of clear lines of responsibility, respect for expertise, and commitment to project aims, this allows nursing executive leadership to organize, set up, and own the development of nursing informatics solutions. [ABSTRACT FROM AUTHOR]

Aims: To identify clusters of risk factors in home health care and determine if the clusters are associated with hospitalizations or emergency department visits., Design: A retrospective cohort study., Methods: This study included 61,454 patients pertaining to 79,079 episodes receiving home health care between 2015 and 2017 from one of the largest home health care organizations in the United States. Potential risk factors were extracted from structured data and unstructured clinical notes analysed by natural language processing. A K-means cluster analysis was conducted. Kaplan-Meier analysis was conducted to identify the association between clusters and hospitalizations or emergency department visits during home health care., Results: A total of 11.6% of home health episodes resulted in hospitalizations or emergency department visits. Risk factors formed three clusters. Cluster 1 is characterized by a combination of risk factors related to "impaired physical comfort with pain," defined as situations where patients may experience increased pain. Cluster 2 is characterized by "high comorbidity burden" defined as multiple comorbidities or other risks for hospitalization (e.g., prior falls). Cluster 3 is characterized by "impaired cognitive/psychological and skin integrity" including dementia or skin ulcer. Compared to Cluster 1, the risk of hospitalizations or emergency department visits increased by 1.95 times for Cluster 2 and by 2.12 times for Cluster 3 (all p < .001)., Conclusion: Risk factors were clustered into three types describing distinct characteristics for hospitalizations or emergency department visits. Different combinations of risk factors affected the likelihood of these negative outcomes., Impact: Cluster-based risk prediction models could be integrated into early warning systems to identify patients at risk for hospitalizations or emergency department visits leading to more timely, patient-centred care, ultimately preventing these events., Patient or Public Contribution: There was no involvement of patients in developing the research question, determining the outcome measures, or implementing the study., (© 2022 John Wiley & Sons Ltd.)

Aim A discussion on how informatics knowledge and competencies can enable nursing to instantiate transition to integrated models of care. Background Costs of traditional models of care are no longer sustainable consequent to the spiralling incidence and costs of chronic illness. The international community looks towards technology-enabled solutions to support a shift towards integrated patient-centred models of care. Design Discussion paper. Data sources A search of the literature was performed dating from 2000-2015 and a purposeful data sample based on relevance to building the discussion was included. Discussion The holistic perspective of nursing knowledge can support and advance integrated healthcare models. Informatics skills are key for the profession to play a leadership role in design, implementation and operation of next generation health care. However, evidence suggests that nursing engagement with informatics strategic development for healthcare provision is currently variable. Implications for nursing A statistically significant need exists to progress health care towards integrated models of care. Strategic and tactical plans that are robustly pragmatic with nursing insights and expertise are an essential component to achieve effective healthcare provision. To avoid exclusion in the discourse dominated by management and technology experts, nursing leaders must develop and actively promote the advancement of nursing informatics skills. For knowledge in nursing practice to flourish in contemporary health care, nurse leaders will need to incorporate informatics for optimal translation and interpretation. Conclusion Defined nursing leadership roles informed by informatics are essential to generate concrete solutions sustaining nursing practice in integrated care models. [ABSTRACT FROM AUTHOR]

Barcode medication administration (BCMA) systems can reduce medication errors, but sociotechnical issues are quite common. Although crucial to nurses’ work, few usability evaluations are available for electronic medication administration record (eMARs) screens. The purpose of this research was to identify current usability problems in the Veterans Administration’s (VA) eMAR/BCMA system and explore how these might affect nurses’ situation awareness (SA). Three expert evaluators used 10 tasks/elements, heuristic evaluation techniques, and explored potential impacts using a SA perspective. The results yielded 99 usability problems categorized into 440 heuristic violations with the largest volume in the category of Match With the Real World. Fifteen usability issues were rated as catastrophic with the Administer/Chart medications task having the most. Situational awareness was affected at all levels, especially at Level 2, Comprehension. Usability problems point to important areas for improvement, because these issues have the potential to affect nurses’ SA, “at a glance” information, nurse productivity, and patient safety. [ABSTRACT FROM PUBLISHER]

This column documents the rationale for creating information literacy competency standards for nursing based on the Association of College and Research Libraries (ACRL) “Information Literacy Competency Standards for Higher Education” and the three documents from the American Association of Colleges of Nursing (AACN) on essential skills for nurses in baccalaureate, masters, and doctoral level education and practice. It chronicles the process of the task force which is designing the discipline specific skills and predicts the value of their use, once they are published. [ABSTRACT FROM PUBLISHER]

The article states that there is a push from the United States government to implement and enhance electronic health records (EHRs) for Health Information Technology (HIT) to enable better exchange of information among practitioners and patients. It states that this will allow nurse to spend more time at the bedside. It states that initial adoption of this technology by providers and hospitals would be slow and that EHRs would work best when healthcare information and the EHR are standardized.

The author discusses the 2010 Institute of Medicine report "The Future of Nursing, LeadingChange, Advancing Health," which focuses on how nurses can help transform healthcare. She explores the recommendations for nurses highlighted in the report, which focus on the use of health information technology (IT). Also discussed is the 2011 National Strategy for Quality Improvement in Health Care issue by Secretary of Health and Human Services Kathleen Sebelius to comply with the Affordable Care Act.

This section offers news briefs related to the North American Nursing Diagnosis Association (NANDA) International. It presents an update on the 2012 Conference of NANDA to be held in Houston, Texas. It announces the resignation of Judy Carlson as chair of the Bylaws Committee. It relates that new standards for preregistration nursing education have been launched by the Nursing and Midwifery Council of Great Britain.

The article reports on the initiatives of NANDA International (NANDA-I) in relation to the Health Information Technology for Economic and Clinical Health (HITECH) Act signed into law in the U.S. in 2009. NANDA-I has affiliated with the Alliance of Nursing Informatics, which identifies nurse leaders to serve on federal committees that formulate recommendations and promote involvement in public comment periods and public hearings. Efforts by NANDA-I to submit concept names for inclusion in the Systematized Nomenclature of Medicine-Clinical terms are cited.

The article focuses on the emergence of the Technology Informatics Guiding Education Reform (TIGER) initiative to respond to the health information technology (HIT) changes in health care in the U.S. It notes that the initiative is centered on informatics tools and practices to enable nurses to make health care safer, patient centered, and efficient. It stresses the need for nursing executives to see nursing informatics and technology as core support to nursing functions and decision making.

The article offers information on the importance of the use of nursing informatics through the application of electronic health records (EHR)in the U.S. It mentions the approval of American Recovery and Reinvestment Act (ARRA) for the investment of EHR, which aims to reduce the costs and avoid medical errors. It states the recognition of the health information technology (HIT) after the U.S. President Barack Obama approved the Patient Protection and Affordable Care Act (PPACA).

This paper analyses how informatics are used in knowledge management in Jordan and includes conceptual frameworks for knowledge initiatives and an illustration of how data are transformed to knowledge through the processing of information; nursing informatics are mapped. Finally, applications of informatics in USA and Jordan are explored comparatively with focus on nursing roles in informatics and the key relevance to ethical challenges once these applications happen. [ABSTRACT FROM AUTHOR]

Pediatric practice is like no other. It has its own language, its own data requirements, and its own compliance and privacy imperatives. Traditional electronic health records (EHRs), which are designed for adult care, are insufficient for supporting efficient, effective pediatric care. This article examines the unique data needs of pediatric care and suggests ways in which a pediatric-enabled EHR could support them. [ABSTRACT FROM AUTHOR]

The article presents a study which examines the preparation of faculty and administrators in nursing informatics competencies in schools of nursing in the U.S. It is showed that nursing education has not fully incorporated informatics into the curriculum, although there have been developments across educational levels. The study also revealed that there are major gaps remaining in preparing nurses with the essential knowledge and skills to use informatics tools to communicate with patients and health care professionals.

Healthcare mirrors the society in which it is practiced. Therefore, an examination of demographic, social, and economic trends in the United States provides valuable insight into the healthcare systems evolving to support a changing nation. This article examines the implications for healthcare of several key societal trends and suggests how information technology can help the chief nurse executive drive nursing's evolution to the health system of the future. [ABSTRACT FROM AUTHOR]

The article discusses the personal digital assistant (PDA) technology for daily nursing practice in the U.S. PDA is a rechargeable and handheld computer which includes address book, calendar, notes, music player and a variety of additional optional applications. One of the most useful aspects of using it for clinical decision making is by connecting to the Internet for daily updates.

Focuses on the importance of nursing informatics approach in analyzing staffing effectiveness indicators in the U.S. Role of the quality professional and enhances performance improvement within quality programs; Objective of the staffing effectiveness standards; Procedure for assessing and monitoring variability in a process over time.

This article cites a study analyzing fluctuating unit census for timely staffing intervention of nurses in U.S. hospitals, from a nursing administration perspective and from a nursing informatics perspective. The computer system in the study hospital, labeled Caregiver Patient Ratio (CGPR) which provides timely tracking of nursing care hours and patient census data, was used to generate field study data. Data from the CGPR system were reviewed to identify units with a large amount of admission/discharge/transfer (ADT) activity. Although data were available from a total of 48 units, units having psychiatric, obstetrical, pediatric, or operating room/post-anesthesia patients were excluded from analysis to provide a more manageable sample size. From the selected units, data on midnight census, average daily census data, and total treated patients were examined. From the nursing administrative perspective, findings of the study, reportedly, seem to indicate that better data are needed related to nursing time spent with ADT patients.

Discusses the use of nursing informatics to improve patient care in the United States. Quality improvement programs of several hospitals; Implementation of computerized physician order entry; Data exchange standards; Integration of technology in health care.

Focuses on the use of nursing informatics and pill boxes for patient's self-medication in the U.S. Average life expectancy of Americans; Concerns on the ability patients to administer treatments; Simplification of medical regimens for elderly patients.

Nursing informatics education is undergoing dramatic change as nursing informatics skills and knowledge expand and roles in practice proliferate. In the United States, Federal government initiatives and the activities of national nursing organizations are moving nursing informatics forward in preparation for the new millennium. This paper presents a history of nursing informatics education in the US, as it has emerged from a focus on computer literacy to a new model of information processing, cognitive science and computer science. The paper suggests specific computing skills and informatics concepts which should be integrated into nursing informatics courses or undergraduate nursing programs. Initiatives and goals of the National Agenda for Informatics in Nursing Education and Practice are presented. [ABSTRACT FROM AUTHOR]

Data sharing is necessary to address communication deficits along the transitions of care among community settings. Evidence-based practice supports home healthcare (HHC) patients to see their primary care team within the first two weeks of hospital discharge to reduce rehospitalization risk. A small subset of patient data collected at HHC admission is mandated to be transmitted to primary care, predominantly by fax. Using qualitative analysis, we assessed completeness of the United States Core Data for Interoperability (USCDI) interoperability standard, as compared to the patient data collected by the primary care team (topics) and HHC (classes) during the initial visit; and offer interoperability recommendations. Findings indicate the USCDI does not cover 74% of the 19 faxed HHC classes that mapped to the primary care topics, and 95% of the 38 not-faxed HHC classes. We offer USCDI recommendations to address these interoperability gaps., (©2021 AMIA - All rights reserved.)

With the increased use of patient portals in acute and chronic care settings as a strategy to support patient care and improve patient-centric care, there is still little known about the impact of patient portals in mental health contexts. The purposes of this review were to: 1) identify the critical success factors for successful patient portal implementation and adoption among end-users that could be utilized in a mental health setting; 2) uncover what we know about existing mental health portals and their effectiveness for end-users; and 3) determine what indicators are being used to evaluate existing patient portals for end-users that may be applied in a mental health context. This scoping review was conducted through a search of six electronic databases including Medline, EMBASE, PsycINFO, and CINAHL for articles published between 2007 and 2021. A total of 31 articles were included in the review. Critical success factors of patient portal implementation included those related to education, usefulness, usability, culture, and resources. Only two patient portals had articles published related to their effectiveness for end-users (one in Canada and the other in the United States). More than 100 measures of process (n = 73) and outcome (n = 59) indicators were extracted from the studies and mapped to the Benefits Evaluation Framework. Patient portals carry great potential to improve patient care, but more attention needs to be given to ensure they are being evaluated through the development and implementation phases with the end-users in mind. Further understanding of process indicators relating to use are essential for long-term patient adoption of portals to obtain their potential benefits.

Nurses are continually innovating to fill gaps or inefficiencies within healthcare. This was particularly evident during the COVID-19 pandemic, when a burst in nurse-led innovation in all areas of healthcare and across the lifespan necessitated an innovation ecosystem to realize nurses' full potential. New ways of thinking and leading the future of nursing have been echoed by the National Academy of Medicine's Future of Nursing Report 2020-2030, the American Nurses Association (ANA) innovation task force, and the American Nurses Credentialing Center (ANCC). Nurse-led hackathons, incubators, and accelerators have emerged to meet the need for a more intentional and formal pathway for nurses to add value to health and healthcare within an innovation and design thinking framework. This article describes a brief historical background of hackathons, innovation incubators, and innovation accelerators and considers their evolution within the nursing profession, including implications for practice and education. [ABSTRACT FROM AUTHOR]

New and emerging technologies in healthcare incorporate big data and artificial intelligence analytics change every day. With the continued integration of technology into healthcare, we need more Nursing Informatics (NI) leaders. To identify actionable steps emerging NI leaders can take to mature, we conducted a website scan of eight professional organizations and two interviews with nurse leaders who have experience in those organizations. This article discusses nursing informatics and nursing leadership, and we describe our study methods and findings. Based on our study results, we provide specific recommendations for emerging NI leaders, such as obtaining training or education, seeking mentorship, building a network, cultivating confidence, and being active in professional organizations. Engaging in self-reflection and self-assessment can assist new and emerging NI leaders to prioritize actions they can take to mature in this nursing specialty. [ABSTRACT FROM AUTHOR]

Presents an overview of the Nursing Information and Data Set Evaluation Center's information systems evaluation criteria in the United States. Aim of supporting nursing-practice documentation and evaluating information systems; Effects of nursing practice and support information gathering across settings and across the continuum of care.

Focuses on the use of computers in the nursing practice in the United States. Primary function of a health information computer; Details of the main processing functions of a computer; Advantages of computer applications on nursing practice; Responsibility of nursing unit management; Applications of computer on nursing service administration. INSET: WHERE ALL THOSE INCREDIBLE SYSTEMS ARE COMING FROM.