Skip to content

We live in a time when artificial intelligence (AI) is no longer a futuristic promise but an everyday tool that is transforming society at a relentless speed. Nowadays we are fully aware of its importance and we use it to work, train, organise our daily lives and in many other areas too. It would be naïve to think that this revolution can remain outside the organisations that are the backbone of our profession: official nursing associations.

From my point of view, AI – and in particular generative AI – is a strategic ally of great value for these institutions, capable of improving the quality of their service portfolios, the relevance of their content, their constant updating and their efficiency. In short, it contributes to optimising each of the services provided for association members.
The following lines seek to dimension the impact of Regenerative Artificial Intelligence on the service portfolio of Official Nursing Associations, acknowledging that AI raises understandable fears and doubts, but also that it opens up unique opportunities to further improve the quality of care provided.

AI is not a technological fad, but a new knowledge infrastructure. In the same way that nobody questioned the need for an association website or presence on the social media, the question now is not whether we should use AI, but how to do so in an ethical, secure and truly useful way for association members.

The benefits are obvious when looking at the different services: all associations provide training, counselling, information, working groups and member services, among others. In each of these areas, AI can be a powerful driver.

In training, generative AI can design personalised pathways based on skills, interests and career paths, recommend courses and activities, and create more dynamic teaching materials, from interactive presentations to clinical simulations and explanatory videos. It also helps faculty come up with clinical cases, tests and summaries of peer-reviewed articles, freeing up time for what really adds value: supporting learning, providing feedback, encouraging critical thinking and discussing clinical practice. AI enhances and amplifies the role of the trainer, improving the quality and scope of the training that official associations provide.

In consultancies – legal, labour, tax – AI classifies, organises and synthesises large volumes of information, streamlining the management of queries and locating regulations, resolutions and technical guides. It can generate draft answers that are then validated by the expert team, ensuring technical and legal rigour. It does not replace professional judgement, but rather optimises the process, reducing waiting times and improving the quality of guidance, allowing teams to focus on complex cases and expert decision-making.

In information and communication, AI organises and makes accessible all the knowledge generated by associations: news, circulars, technical documents, institutional campaigns, scientific resources, regulations and training content. A conversational assistant can centralise this information, provide clear answers, links, reminders and personalised suggestions, 24 hours a day, while maintaining the style, rigour and values of the institution. This strengthens the connection with members and contributes to a more fluid communication that is more focused on their needs.

AI also benefits working groups, boosting the efficiency and quality of collaborative work. It enables the coordination of projects, synthesising documents, generating reports, minutes, guidelines and summaries of data, analysing information, identifying patterns and providing evidence-based recommendations. It facilitates continuous updating on scientific and regulatory developments and fosters creativity by proposing innovative ideas and scenarios. AI does not replace professional expertise, but frees time from routine tasks and reinforces team coordination and efficiency.

When dealing directly with members, AI acts as a ‘first point of contact’ – always available, guiding them through registration, deregistration and transfer procedures, downloading certificates, accessing civil liability insurance, job offers and managing fees or forms. When the query is more complex, AI refers users to the appropriate person, guaranteeing specialised human attention. The technology therefore filters, organises and clarifies requests, preparing and enriching interpersonal interaction, and improving the quality, warmth and efficiency of the service.

Incorporating AI into the portfolio of association services is no longer a decorative option, but a strategic necessity. Implemented with human oversight, ethics and data protection, it allows nursing associations to remain a network of support, advocacy and professional advancement at the service of their members and the public.
AI does not change that mission, but rather provides new tools to meet it more effectively.

Dr. José Antonio Ávila
General Secretary CECOVA

Valencia, Spain

Artificial intelligence (AI) for emotional support In emergencies and disasters for non-specialist teams

This article explores the role of artificial intelligence (AI) in emotional support during emergencies and disasters, especially for teams not specialised in psychology, such as nurses, doctors, firefighters and police officers. It highlights the relevance of psychological first aid (PFA), brief and effective interventions that such people can carry out with the appropriate training...

See article

The design and implementation of an integrated electronic information system for the perfusion and extracorporeal oxygenation nursingunit at la Fe University Hospital in Valencia, Spain

The integration of health information systems has transformed the management of and access to medical records. Electronic health records (EHRs) play a major role in this process. In the surgical area, electronic records improve efficiency, safety, quality of care and allow for the secondary use of data for research

See article

The role of the nursing research supervisor: competencies, impactand challenges in evidence-based practice

Nursing research is essential for improving the quality of care and health outcomes of patients. This review study aims to analyse in depth the functions, competencies and strategies associated with the Nursing Research Supervisor, as well as their impact on the implementation of evidence-based practice, the generation of a scientific culture and the improvement of clinical outcomes.

See article

Diet and physical activity in pregnant women according to type of conception

The role of the midwife is fundamental in terms of health education and disease prevention in a specific and vulnerable period of a woman’s life – pregnancy. The aim of this study is to find out about dietary habits and physical activity during pregnancy in women undergoing assisted reproductive techniques (ART) and in women who have conceived spontaneously.

See article
Back To Top