The Essence and Role of Nurses in the Future of Biomedical and Health Informatics.

The whole healthcare system is evolving fast due to environmental pressure related to pandemics, climate change, personnel shortages, and financial limitations, to name but a few. Nurses are central actors in the sustainability of healthcare systems. Rapid technological development can support innovative means for holistic and applied critical thinking to improve healthcare delivery based on the uniqueness of nursing. Nurses need to develop adaptive and scientific skills regarding technologies and develop and apply these for better use of "smart" systems in care delivery. The paradigm shift in nursing roles will impact all levels of care, from primary to specialized care, all age groups, from newborn to elderly care, as well as all domains, such as preventive, reparative, rehabilitation, and palliative care. The impact of technologies on human behavior addresses human- factors interaction, computer interaction, and other effects of technologies on wellbeing, including but not limited to robots and artificial intelligence -based assisting nursing deliveries. Nursing competencies need to be developed at all levels of education to prepare a mindset and culture of the healthcare workforce in a digital health system. Gamification and simulation as educational tools help prepare educators to educate healthcare clinicians and researchers who become key mediators between technologies and practice.

Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative.

AIM: To develop a consensus paper on the central points of an international invitational think-tank on nursing and artificial intelligence (AI). METHODS: We established the Nursing and Artificial Intelligence Leadership (NAIL) Collaborative, comprising interdisciplinary experts in AI development, biomedical ethics, AI in primary care, AI legal aspects, philosophy of AI in health, nursing practice, implementation science, leaders in health informatics practice and international health informatics groups, a representative of patients and the public, and the Chair of the ITU/WHO Focus Group on Artificial Intelligence for Health. The NAIL Collaborative convened at a 3-day invitational think tank in autumn 2019. Activities included a pre-event survey, expert presentations and working sessions to identify priority areas for action, opportunities and recommendations to address these. In this paper, we summarize the key discussion points and notes from the aforementioned activities. IMPLICATIONS FOR NURSING: Nursing's limited current engagement with discourses on AI and health posts a risk that the profession is not part of the conversations that have potentially significant impacts on nursing practice. CONCLUSION: There are numerous gaps and a timely need for the nursing profession to be among the leaders and drivers of conversations around AI in health systems. IMPACT: We outline crucial gaps where focused effort is required for nursing to take a leadership role in shaping AI use in health systems. Three priorities were identified that need to be addressed in the near future: (a) Nurses must understand the relationship between the data they collect and AI technologies they use; (b) Nurses need to be meaningfully involved in all stages of AI: from development to implementation; and (c) There is a substantial untapped and an unexplored potential for nursing to contribute to the development of AI technologies for global health and humanitarian efforts.

EVENT: A Concept Developped to Improve the Use of EHR by the Nurses.

CONTEXT AND PURPOSE: The University Hospital of Lausanne has been deploying the patient's electronic record since 2010. In 2014, it was time to abandon the nursing paper documentation file. This represented a user base of 4,000 people to train and accompany during the change process. DESIGN/METHODOLOGY/APPROACH: We developed the concept of an event as a support for nursing documentation, an empirical process. This project explored a combination of different strategies to improve the quality of care. Research limitations. It is not a research, the concept was new and a theoretical framework was developed. Unfortunately, there was no evaluation undertaken to measure the impact on the users. PRACTICAL IMPLICATIONS: Today the use of an event helps the nurses to document complex situations and to guarantee the continuity of information. For the future, the question or plan? is to expand the concept to Doctors and other caregivers.

Evolving Role of the Nursing Informatics Specialist.

The scope of nursing informatics practice has been evolving over the course of the last 5 decades, expanding to address the needs of health care organizations and in response to the evolution of technology. In parallel, the educational preparation of nursing informatics specialists has become more formalized and shaped by the requisite competencies of the role. In this chapter, the authors describe the evolution of nursing informatics roles, scope and focus of practice, and anticipated role responsibilities and opportunities for the future. Further, implications and considerations for the future are presented.

[A synthesis of patient problems: a first step to the nursing minimum data set]. / Synthèse des problèmes de soins infirmiers: un pas vers la statistique infirmière.

UNLABELLED: In 2012 Switzerland will adopt a system for hospital funding, named SwissDRG, based on the German Diagnosis Related Group model. This method of funding takes little account of nursing as the grouping is based on diagnoses and treatments. OBJECTIVE: This study conducted at the University Hospital of Lausanne seeks to introduce nursing data in the medical statistic under the form of diagnosis. METHOD: Based on a web questionnaire, this study interviewed 293 nursing clinical and administrative managers. According to their experience they had to selected 10 problems of care from a list of 30 and sort them depending to their impact on the workload and length of stay. RESULTS: 95 responses from most of the clinical specialties of the University Hospital of Lausanne. A list of 15 nursing problems has been published. The use of the RIDITs shows a difference between the subgroups determined by sex and length of service. CONCLUSION: This study showed that the use of web questionnaires is a way that should be continued. It also shows that through the RIDITs it is possible to analyze the differences in responses between groups even if the sample is small. This study must now be extended to the pediatrics and obstetrics.

Modeling, the essential step to consolidate and integrate a national NMDS.

How to develop a nursing minimum data set (NMDS) as a part of a nursing information system, which is itself a part of a health information system, this is the challenge presented in this paper and realized in Switzerland through the NURSING data project. The development of the CH-NMDS is not just a selection of data but a real conceptual work consisting in making the link between the information system and the terminology system and this for any level of aggregation. The building of a conceptual coherence between the collection of the data, their storage and their utilization for decision making was made by using the object modeling language, not for programming aims but statistical purposes. For example, the nursing phenomena and the nursing interventions are considered as classification concepts as well as sets of data.