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Enregistrement W2897480913 · doi:10.1097/01.nep.0000000000000092

Informatics Competencies for Nurses Revisited

2016· article· en· W2897480913 sur OpenAlex
Diane J. Skiba

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueNursing Education Perspectives · 2016
Typearticle
Langueen
DomaineHealth Professions
ThématiqueMobile Health and mHealth Applications
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInformaticsHealth informaticsMEDLINEMedical educationNursingMedicinePsychologyEngineeringPolitical sciencePublic health

Résumé

récupéré en direct d'OpenAlex

In my last column (Vol. 37, No. 4, pp. 303–304), I told you about my participation in the 13th International Congress in Nursing Informatics. Each of these conferences is followed by an invitational postconference, which this year took place over three days in the lovely town of Villars-sur-Ollon, Switzerland. The 34 participants, including three students, represented academia, practice, and administration in the countries of Australia, Belgium, Brazil, Canada, China, Finland, Great Britain, Ireland, Korea, Netherlands, New Zealand, Norway, Switzerland, Taiwan, and the United States. Our charge for the postconference was to examine current and future expectations of informatics competencies for entry into practice for advanced practice nursing. The term entry into practice was used, as differing levels of education are required to enter nursing across the globe. In preparation, each participant was asked to write a chapter that would help guide our conversations. We were divided into five groups (educators, leaders, specialists, new frontiers, and eHealth) and instructed to generate a list of expected competencies to be presented to the entire group. The final product will be a publication targeted for the end of the year. To be able to project informatics competencies for this next generation of nurses, we started by revisiting a book published by the National League for Nursing (NLN): Preparing Nurses for Using Information Systems: Recommended Informatics Competencies (Peterson & Gerdin-Jelger, 1988). This book represented the work of the International Medical Informatics Association’s Nursing Informatics Task Force on Education, an international group that included representatives from Australia, Belgium, Canada, Denmark, Finland, Netherlands, Sweden, the United Kingdom, and the United States. It delineates competences across three levels (user, is able to use the tool; developer, has knowledge to participate in tool development; and expert, directs development and implementation as consultant, evaluator, or researcher) for the practicing nurse, the nurse educator, the nurse leader, and the nurse researcher. As an elder in the field and coauthor with Dr. Judith Ronald of a chapter in the 1988 book, I was asked to write the opening chapter for the 2016 postconference and talk about “Looking Back to Move Forward” (which I relabeled “From Automation to Connected Care”). Our 1988 chapter, “Computer Education for Nurses: Curriculum Issues and Guidelines,” was based on a monograph Dr. Ronald and I did in 1987 for the NLN (Ronald & Skiba, 1987). The monograph, Guidelines for Basic Computer Education in Nursing, was widely used by educators in various countries to incorporate nursing informatics into the curriculum. As you can see, the United States in the old days called it computer education. We adopted the European term nursing informatics in the late 1980s. A LOOK AT THE PAST It was fascinating to revisit informatics competencies and available technologies from the past 40 years plus. My first exposure to informatics competencies was a book (Anderson, Gremy, & Pages, 1974) published by the International Federation for Information Processing. This book also had three categories of learners: all health care professionals, professionals who work with data-processing experts, and professionals trained in computing and data processing. Understanding hardware and software, having the skills needed to operate a computer, and knowing the techniques/methods of using a computer for various health-related functions formed the basis of the generic competencies for all health care professionals. The 1988 group built upon these generic competencies (Peterson & Gerdin-Jelger, 1988; see Table 1). Their focus for the practicing nurse was data processing, information seeking, and using documentation systems. Administrative competencies expanded to directing the organization of data for various purposes as well as communication and ethical standards. Researchers were focused on what I would call information literacy: data, text and graphical processing, and statistical analyses.Table 1: Broad Competency Areas Across Nursing Role 1988Teacher competencies were interesting and focused on computers for research, not practice. They remind me of a conversation I had when I visited a federal agency to discuss a proposal to teach nurses about computers. Essentially, I was told that nurses already knew about computers as they were taught SPSS for doing statistical analyses. The United States had little adoption of informatics competencies until the 2000s. Two events influenced their recognition and development and were catalysts for nursing education to recognize that all nurses, students as well as practicing nurses, needed informatics knowledge and skills: the 2006 TIGER (Technology Informatics Guiding Education Reform) Summit and Quality Safety Education for Nurses (QSEN). These efforts garnered the attention of the NLN and other nursing education organizations to tackle the issues of competency. One of the first informatics competency documents to surface was the American Association of Colleges of Nursing’s The Essentials of Baccalaureate Education for Professional Nursing (2008). Essential IV, Information Management and Application of Patient Care Technologies, has ambitious objectives for the nurse entering into practice. The document states that graduates need to: Advocate, recognize the importance of information technologies, and demonstrate skills in the use of patient care technologies and information systems, including clinical information systems and communication devices, to ensure safe and quality care and documentation. Apply safeguards, decision support tools, and ethical standards to support a safe practice environment. Understand how to use patient care technologies for diverse patient populations. Evaluate data to inform practice and use standardized terminologies to reflect nurses’ contributions to patient outcomes and nurse-sensitive outcomes. Recognize that workflow redesigns should occur before any new technologies are implemented and nurses should participate in the evaluation of information systems through policy and procedures development. The recommendation that nurses use telecommunications for effective communication needs an update. I am sure digital natives have never heard of this word. But many of the recommendation, while needing updates to reflect new and evolving technologies, remain relevant. COMPETENCIES PROPOSED FOR THE FUTURE Working with the lists we brought to the postconference, our group (from Great Britain, New Zealand, Australia, the Netherlands, and Finland, as well as the United States) eventually arrived at 10 competencies updated to reflect current trends and technologies: digital health tools, remote care, interprofessional care teams, patient as partner, data extraction, monitoring of patient outcomes, and the development of evidence using clinically relevant data. We were fortunate to have access to a new document, eHealth Strategy of the Finnish Nurses Association 2015–2020 (in English at http://nurses-fi-bin.directo.fi/@Bin/b75b13c872e02bb9f9f2eb3a8a8bf5a0/1472841597/application/pdf/237208/eHealth_RAPORTTI%20_ENGLANTI.pdf). Here is one example of the 10 competencies we generated: “Nurses need to respect the individual’s preferences in their use(s) of digital health application.” The following competencies from the other groups relate to new frontiers such as big data, genomics, and ehealth. Have the proficiency to communicate appropriately, responsibly, and to evaluate conversations critically within the realm of socially based technologies (see www.edelmandigital.com/2010/04/01/do-media-literacy-digital-literacy-and-social-media-literacy-intersect/). Be able to interpret end-user data from multiple sources and apply these data to effective clinical decision-making. Understand types and sources of data captured by information systems, including data quality and type (e.g., structured data, free-text narratives) and the value and importance of big data to improve patient care. Use and access Pharmacogenomics Knowledge Bases (www.pharmgkb.org) and other data repositories. Understand the semantics of nursing data and the consequences of data definition ambiguities. EXPANDING THE CONVERSATION The proposed competencies provide an excellent foundation for discussion in nursing education. You may want to use the following questions to spark conversation: As technologies become more pervasive and ubiquitous (e.g., sensors, smartphone, tablets) and less like desktop computers, is there a need to focus on computer literacy knowledge and skills? Perhaps we might need to examine digital literacy knowledge and skills. Is information literacy still important? Do current knowledge and skills under information literacy address the areas of social media and mobile apps? Should this area be expanded or revised as noted by the European Commission? (See http://ec.europa.eu/public_opinion/flash/fl_404_en.pdf.) What new communication knowledge and skills do practicing nurses need in an interprofessional, connected care ecosystem? Will nurses need different skills to communicate with an interprofessional team and to interact with patients, families, and caregivers via virtual visits, patient portals, social media, and even personal robotic assistants? Will nurses learn how to maintain a sense of presence and caring in virtual patient visits and through various digital media? Given the increased amount of data being collected by providers and patients, are data processing and information management still necessary knowledge and skills? Or do we need to also examine knowledge management, data analytics, and data visualization competencies? What are the new legal, ethical, social, and public policy questions once we move beyond the era of electronic health records and into a connected care ecosystem? As always, I welcome your comments and ideas; write to [email protected]. Also, look for our postconference book, Forecasting Informatics Competencies for Nurses in the Future of Connected Health, edited by Judy Murphy and William Goossen. Published by IOS Press toward the end of 2016, it will be an open-access publication.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,665
Score d'incertitude au seuil0,826

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,051
Tête enseignante GPT0,477
Écart entre enseignants0,426 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle