Systematic Review of Current Ultrasound Use in Education and Simulation in the Field of Urology

[State of the art: Simulation in US]

Technical simulation of diagnostic and therapeutic procedures is of growing relevance for student education and advanced medical training and has already been introduced in the field of ultrasound. This review gives a broad overview on different levels of simulation for ultrasound diagnostics and highlights the technical background of the methodology. A critical review of the literature reveals recommendations for implementing simulation techniques in medical studies and professional ultrasound training. An analysis of strengths and weaknesses shows the advantages of simulation especially in the context of individual learning situations and COVID-19-related restrictions for personal interaction. However, simulation techniques cannot replace the experiences of complex clinical examinations with direct interaction to real patients. Therefore, future applications may focus on repetition and assessment of achieved competencies by using standardized feedback mechanisms in order to preserve the limited resources for practical medical training.

Current Utilization and Perceptions of Formal Education of Point-of-care Ultrasound in Urology

OBJECTIVE

To assess the extent of formal point-of-care ultrasound (POCUS) training, current utilization of POCUS, and contemporary perceptions of POCUS amongst urologists.

METHODS

A survey including questions regarding demographics, prior ultrasound education, current ultrasound utilization in practice/training, perceived optimal POCUS utilization, and the perception of formal ultrasound training was developed. The survey was disseminated to residency program directors (PDs) via the SAU and members of AUA subsection organizations. Data were collected via Redcap.

RESULTS

A total of 40 PDs and 159 other respondents completed the survey with approximately half (51%) in an academic practice and two-thirds (68%) with more than 10years in practice. PD response rate was 28%, and general response rate was 2%. Among all respondents, 95% (186/196) and 82% (160/194) agreed/strongly agreed formal POCUS training would be worthwhile during and after residency. Among urology residency PDs, 93% (37/40) agreed/strongly agreed that formal POCUS training is worthwhile in residency. The majority of respondents used some form of ultrasound in practice (77%, 154/199). However, only 37% (72/199) of all respondents had prior formal POCUS training, and 19% (5/26) of PDs reported formal training in their programs. Of respondents without formal training, 63% (80/127) reported interest in pursuing formal training.

CONCLUSION

POCUS is widely utilized in many practices. Yet, most urologists have not participated in formal POCUS training and most programs do not have curricula. Urologists have favorable opinions of the utility, safety, and efficacy of POCUS and desire training.

The ultrasound use of simulators, current view, and perspectives: Requirements and technical aspects (WFUMB state of the art paper)

Simulation has been shown to improve clinical learning outcomes, speed up the learning process and improve learner confidence, whilst initially taking pressure off busy clinical lists. The World Federation for Ultrasound in Medicine and Biology (WFUMB) state of the art paper on the use of simulators in ultrasound education introduces ultrasound simulation, its advantages and challenges. It describes different simulator types, including low and high-fidelity simulators, the requirements and technical aspects of simulators, followed by the clinical applications of ultrasound simulation. The paper discusses the role of ultrasound simulation in ultrasound clinical training, referencing established literature. Requirements for successful ultrasound simulation acceptance into educational structures are explored. Despite being in its infancy, ultrasound simulation already offers a wide range of training opportunities and likely holds the key to a broader point of care ultrasound education for medical students, practicing doctors, and other health care professionals. Despite the drawbacks of simulation, there are also many advantages, which are expanding rapidly as the technology evolves.

A template for conducting a post-graduate hands-on, urologic ultrasound course

PURPOSE

To describe a program for post-graduate education of urologists providing urologic ultrasound services.

METHODS

A detailed description of the evolution of an educational program developed by the American Urological Association (AUA) Office of Education for providing the knowledge and fundamental skills necessary for urologists to provide high-quality, medically appropriate urologic ultrasound examinations. The structure of the program, as well as the training of instructors and certification of attainment of the goals and skills set forth in the program, is highlighted. Specific recommendations for providing didactic instruction and managing the logistics of the hands-on training are given.

RESULTS

Approximately 1700 urologists have received post-graduation instruction in the performance of urologic ultrasound in some form under the auspices of the AUA Office of Education since 1993. The hands-on training course has continued to evolve in response to feedback from the attendees and the ongoing emergence of new clinical indications for urologist-performed ultrasound. A post graduate course, including didactic instruction and hands-on skill training, continues to be in demand and fully subscribed and attended.

CONCLUSION

Instruction in the performance of diagnostic ultrasound examinations is not a formal component of many urologic residencies in the United States. Since many ultrasound procedures are being performed by practicing urologists, there is an ongoing need for post-graduate training in urologic ultrasound.

Artificial intelligence and simulation in urology

INTRODUCTION AND OBJECTIVE

Artificial intelligence (AI) is in full development and its implementation in medicine has led to an improvement in clinical and surgical practice. One of its multiple applications is surgical training, with the creation of programs that allow avoiding complications and risks for the patient. The aim of this article is to analyze the advantages of AI applied to surgical training in urology.

MATERIAL AND METHODS

A literary research is carried out to identify articles published in English regarding AI applied to medicine, especially in surgery and the acquisition of surgical skills.

RESULTS

Surgical training has evolved over time thanks to AI. A model for surgical learning where skills are acquired in a progressive way while avoiding complications to the patient, has been created. The use of simulators allows a progressive learning, providing trainees with procedures that increase in number and complexity. On the other hand, AI is used in imaging tests for surgical or treatment planning.

CONCLUSION

Currently, the use of AI in daily clinical practice has led to progress in medicine, specifically in surgical training.

Artificial intelligence and simulation in urology

INTRODUCTION AND OBJECTIVE

Artificial intelligence (AI) is in full development and its implementation in medicine has led to an improvement in clinical and surgical practice. One of its multiple applications is surgical training, with the creation of programs that allow avoiding complications and risks for the patient. The aim of this article is to analyze the advantages of AI applied to surgical training in urology.

MATERIAL AND METHODS

A literary research is carried out to identify articles published in English regarding AI applied to medicine, especially in surgery and the acquisition of surgical skills.

RESULTS

Surgical training has evolved over time thanks to AI. A model for surgical learning where skills are acquired in a progressive way while avoiding complications to the patient, has been created. The use of simulators allows a progressive learning, providing trainees with procedures that increase in number and complexity. On the other hand, AI is used in imaging tests for surgical or treatment planning.

CONCLUSION

Currently, the use of AI in daily clinical practice has led to progress in medicine, specifically in surgical training.