About this Research Topic
Enhancing the quality of clinical education and training for medical students, residents, and practicing physicians is the goal of research in clinical learning. New teaching strategies such as team-based learning, learning by concordance, and interprofessional education have also been developed and subjected to intensive research to improve critical thinking, communication, teamwork skills, and collaboration among healthcare professionals. Also, to evaluate learners in the clinical environment more accurately, innovative and technology enhanced assessment methodologies are continually investigated.
In the areas of technology, artificial intelligence (AI), and robotics, we are currently experiencing a period of invention and development creating a disruptive wave in medical and healthcare professions education. This includes high-tech simulation-based training, online clinical learning, AI-generated feedback, e-portfolios, and script concordance tests. These innovations in the education of medical professionals in the clinical environment have the potential to improve patient outcomes and ultimately enhance the quality of healthcare delivery.
The aim of this research is to explore, assess, and advance the multifaceted realm of clinical education and training for medical students, residents, and practicing physicians. In a rapidly evolving landscape influenced by technological advancements such as artificial intelligence (AI) and robotics, the overarching goal is to drive innovations that enhance the quality of education and, consequently, improve patient outcomes in healthcare delivery.
Areas of interest include:
• Finding efficient techniques for instruction and evaluation that will enhance the quality of clinical learning of medical students, residents, and practicing physicians.
• Addressing the use of cutting-edge technology and artificial intelligence to enhance the quality of clinical learning of medical students, residents, and practicing physicians.
• Utilizing data warehouses, AI-generated reports, and electronic medical records to provide trainee-centred feedback.
• Ensuring faculty development in technology to keep educators stay abreast of the latest advancements, fostering innovation, and enhancing the clinical educational experience for both instructors and learners.
• Encouraging professionalism and self-reflection among medical practitioners to advance moral conduct, responsibility, and self-awareness in clinical practice.
• Promoting a culture of continuous learning and improvement in the healthcare industry to make sure that healthcare professionals stay up to date with the most recent developments in clinical practice and offer their patients the best treatment possible.
• Preparing healthcare professionals to provide culturally responsive care and address health inequities and diversity in clinical practice.
For this Research Topic we welcome Brief Research Reports; Case Reports; Clinical Trials; Community Case Studies; Curriculum, Instruction, and Pedagogy articles; General Commentaries; Hypothesis and Theory articles; Methods; Mini Reviews; Opinions; Original Research; Perspectives; Reviews; Study Protocols; and Systematic Reviews. Physicians, healthcare professionals, educators, students, and other experts in this intriguing field are invited to share their knowledge and add to this collection.
In the areas of technology, artificial intelligence (AI), and robotics, we are currently experiencing a period of invention and development creating a disruptive wave in medical and healthcare professions education. This includes high-tech simulation-based training, online clinical learning, AI-generated feedback, e-portfolios, and script concordance tests. These innovations in the education of medical professionals in the clinical environment have the potential to improve patient outcomes and ultimately enhance the quality of healthcare delivery.
The aim of this research is to explore, assess, and advance the multifaceted realm of clinical education and training for medical students, residents, and practicing physicians. In a rapidly evolving landscape influenced by technological advancements such as artificial intelligence (AI) and robotics, the overarching goal is to drive innovations that enhance the quality of education and, consequently, improve patient outcomes in healthcare delivery.
Areas of interest include:
• Finding efficient techniques for instruction and evaluation that will enhance the quality of clinical learning of medical students, residents, and practicing physicians.
• Addressing the use of cutting-edge technology and artificial intelligence to enhance the quality of clinical learning of medical students, residents, and practicing physicians.
• Utilizing data warehouses, AI-generated reports, and electronic medical records to provide trainee-centred feedback.
• Ensuring faculty development in technology to keep educators stay abreast of the latest advancements, fostering innovation, and enhancing the clinical educational experience for both instructors and learners.
• Encouraging professionalism and self-reflection among medical practitioners to advance moral conduct, responsibility, and self-awareness in clinical practice.
• Promoting a culture of continuous learning and improvement in the healthcare industry to make sure that healthcare professionals stay up to date with the most recent developments in clinical practice and offer their patients the best treatment possible.
• Preparing healthcare professionals to provide culturally responsive care and address health inequities and diversity in clinical practice.
For this Research Topic we welcome Brief Research Reports; Case Reports; Clinical Trials; Community Case Studies; Curriculum, Instruction, and Pedagogy articles; General Commentaries; Hypothesis and Theory articles; Methods; Mini Reviews; Opinions; Original Research; Perspectives; Reviews; Study Protocols; and Systematic Reviews. Physicians, healthcare professionals, educators, students, and other experts in this intriguing field are invited to share their knowledge and add to this collection.
Keywords: clinical teaching, clinical competencies, clinical learning, faculty development, technology enhanced learning, artificial intelligence, robotics, technology in medical education
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
