Oxygen transport: a physiologically-based conceptual framework for the practice of cardiopulmonary physiotherapy

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Artificial intelligence in the education of health professions: a descriptive analysis through bibliometrics

Introduction and Objectives: Artificial intelligence (AI) refers to a branch of computer science that focuses on creating machines and software programs that can perform tasks that typically require human-like intelligence, such as learning, problem-solving, decision making, and language understanding. AI technologies include machine learning, deep learning, natural language processing, and computer vision, among others. AI has applications in various fields, including healthcare, finance, education, among others, and has the potential to transform how we live, work, and interact with technology. AI has the potential to revolutionize the education of healthcare professionals by providing new tools and resources for teaching and training, such as personalized learning, intelligent tutoring, virtual simulation, and automated grading. The use of AI in healthcare education is growing, and it has the potential to impact research as well. However, the vast amount of scientific literature in this field makes it challenging to understand its scientific structure and development. Visualization techniques based on bibliometric data can be helpful in comprehending scientific fields. Material and Methods: This is a bibliometric, descriptive, and retrospective study. The author identified publications from the Pubmed database from 1990 till 2023 related to the use of Artificial Intelligence in Health Professions Education using this search string (AI OR "Artificial Intelligence"[Mesh]) AND "Education"[Mesh] AND "Health Personnel"[Mesh]. From the titles and abstracts of these publications, was selected the main terms related to the field, extracted by VOSviewer software, to create a visualization of the most important trends referred to in the literature. Results: The researchers identified a total of 576 relevant references, including 36 clinical trials and randomized controlled trials, as well as 57 meta-analyses and systematic reviews. Upon examining the co-occurrence of Mesh terms associated with AI and healthcare professionals' education, it was found that the most common usage of this approach was in various medical fields and educational levels, followed by allied health personnel. Another noteworthy observation was the emergence of the use of AI in healthcare education in surgery, which began to gain traction after 2018. Conclusions: Overall, as shown by published research, the interest in AI has grown exponentially, influencing all aspects related to the use of this approach in the education and training of healthcare professions. The use of AI in healthcare education has the potential to enhance the learning experience for students, improve their clinical skills and decision-making abilities, and ultimately lead to better patient outcomes. However, it is important to ensure that these technologies are designed and implemented in an ethical and responsible manner, with appropriate consideration given to issues such as bias, privacy, and transparency.N/

Oxygen transport: a physiologically-based conceptual framework for the practice of cardiopulmonary physiotherapy

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Oxygen transport: a physiologically-based conceptual framework for the promotion of funcionality

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Economic impact on SDG and global health

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Telerehabilitation in the Physiotherapy practice: a descriptive analysis through bibliometrics

Background: As defined by Kazuko Shem (2022) Telerehabilitation (TR) refers to the delivery of rehabilitation supported via a variety of technologies and encompasses a range of rehabilitation services that include “evaluation, assessment, monitoring, prevention, intervention, supervision, education, consultation, and coaching.” These technologies and services are available to provide care for persons with disabilities who need acute, subacute care, and long-term follow-up. TR is delivered by a broad range of health care professionals, which may include Physiotherapists. Purpose: The usage of technology, in Physiotherapy practice and education, is still growing, with a possible impact also on research. However, the increase in the number of scientific publications makes it difficult to know the scientific structure and development of a specific field. Visualization techniques based on bibliometric data are useful for the understanding of scientific fields. Methods: This is a bibliometric, descriptive, and retrospective study. The author identified publications from the Pubmed database from 2000 to 2022 related to the use of TR in physiotherapy practice using this search string ("Physical Therapy Specialty"[Mesh] OR "Physical Therapy Modalities"[Mesh]) AND (Telerehabilitation OR telehealth OR teletherapy). From the titles and abstracts of these publications, was selected the main terms related to the field, extracted by VOSviewer software, to create a visualization of the most important trends referred to in the literature. Results: The author identify 920 eligible references (300 Clinical trials and Randomized Controlled trials and 61 Meta-Analysis and Systematic Review). Upon analysing the co-occurrence of the Mesh terms associated with TR and Telemedicine, the most common one was the usage of this approach to provide care by using exercise therapy in middle-aged patients with a focus on the quality of life as a major outcome. It was noticeable also the emergence after 2020 of the use of these strategies during the COVID-19 Pandemic. Conclusion(s): In overall, as shown by the published research, the interest in this topic has grown exponential, influencing all aspects related to the interaction between health professionals (including physiotherapists), patients and communities. Implications: As the global need for rehabilitation continues to grow, many challenges to accessing it remains unaddressed. Telerehabilitation has the potential to address these challenges by using locally available resources. Despite the growing evidence of telerehabilitation applied to the context of intervention (including several steps of the Physiotherapy Process), integration of this emerging technology into the academic curriculum is still slow because of various interrelated human, organizational and technical challenges.N/

Artificial intelligence in the education of health professions: a descriptive analysis through bibliometrics

Introduction and Objectives: Artificial intelligence (AI) refers to a branch of computer science that focuses on creating machines and software programs that can perform tasks that typically require human-like intelligence, such as learning, problem-solving, decision making, and language understanding. AI technologies include machine learning, deep learning, natural language processing, and computer vision, among others. AI has applications in various fields, including healthcare, finance, education, among others, and has the potential to transform how we live, work, and interact with technology. AI has the potential to revolutionize the education of healthcare professionals by providing new tools and resources for teaching and training, such as personalized learning, intelligent tutoring, virtual simulation, and automated grading. The use of AI in healthcare education is growing, and it has the potential to impact research as well. However, the vast amount of scientific literature in this field makes it challenging to understand its scientific structure and development. Visualization techniques based on bibliometric data can be helpful in comprehending scientific fields. Material and Methods: This is a bibliometric, descriptive, and retrospective study. The author identified publications from the Pubmed database from 1990 till 2023 related to the use of Artificial Intelligence in Health Professions Education using this search string (AI OR "Artificial Intelligence"[Mesh]) AND "Education"[Mesh] AND "Health Personnel"[Mesh]. From the titles and abstracts of these publications, was selected the main terms related to the field, extracted by VOSviewer software, to create a visualization of the most important trends referred to in the literature. Results: The researchers identified a total of 576 relevant references, including 36 clinical trials and randomized controlled trials, as well as 57 meta-analyses and systematic reviews. Upon examining the co-occurrence of Mesh terms associated with AI and healthcare professionals' education, it was found that the most common usage of this approach was in various medical fields and educational levels, followed by allied health personnel. Another noteworthy observation was the emergence of the use of AI in healthcare education in surgery, which began to gain traction after 2018. Conclusions: Overall, as shown by published research, the interest in AI has grown exponentially, influencing all aspects related to the use of this approach in the education and training of healthcare professions. The use of AI in healthcare education has the potential to enhance the learning experience for students, improve their clinical skills and decision-making abilities, and ultimately lead to better patient outcomes. However, it is important to ensure that these technologies are designed and implemented in an ethical and responsible manner, with appropriate consideration given to issues such as bias, privacy, and transparency.info:eu-repo/semantics/publishedVersio

Building an educational App to support physiotherapy practice in acute care

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Evidence informed practice

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Physiotherapy education 2.0: using collaborative web based tools in education and clinical practice

PURPOSE: In the recent years we have witnessed a rapid increase in the use of Web-based tools. These Web 2.0 applications, particularly wikis, blogs and podcasts, have been increasingly adopted by many online health-related professional and educational services. Because of their ease of use and rapidity of dissemination, they offer the opportunity for powerful information sharing and ease of collaboration that can be taken anywhere, providing the potential for "anytime, anywhere" learning experiences (mobile learning). RELEVANCE: Students are now more mobile than ever, and often find themselves located some distance from a parent institution on professional practice placement. The uses of such technologies to encourage learners' deeper engagement with learning materials, and the affordance of shared working spaces to improve collaboration between learners are desirable outcomes. It is generally held by many educators that students of all ages learn best when immersed within a culturally and socially rich environment in which scaffolding of learning can be achieved. DESCRIPTIONS: In the context of the Physiotherapy course in the Escola Superior de Saúde do Alcoitão we have used in the last 3 years a set of web based tools to promote collaborative teaching/learning in the academic and clinical setting. EVALUATION: The participation of academic staff, students and clinical educators as been very high. CONCLUSION: The latest generation of collaborative Web-based tools, namely wikis, blogs and podcasts, offer many unique and powerful information sharing and collaboration features. Careful thinking and research are still needed in order to find the best ways to leverage these emerging tools to promote the teaching and learning.N/