The interface between medical anthropology and medical ethnobiology

Medical anthropology is concerned with both the causes and consequences of human sickness, and its various theoretical orientations can be grouped into four major approaches: medical ecology, critical medical anthropology, interpretative medical anthropology, and ethnomedicine. While medical anthropologists of all theoretical persuasions have examined why people get sick, the analysis and understanding of patterns of treatment has been largely confined to ethnomedicine. Historically, more emphasis has been placed on the personalistic or supernatural aspects of ethnomedical systems than on naturalistic or empirical components. While this focus has produced valuable insights into the role of ritual and belief in healing, it has led to the impression that traditional medicine is primarily symbolic. Moreover, it ignores the theoretical bases of traditional healing strategies and the practical means by which most of the world heals itself, namely plants. Recently there has been more interest in the empirical character of ethnomedical systems, and in this paper we consider the role that medical ethnobiology has played in this shift of focus. We begin with a brief history of medical anthropology to illuminate why naturalistic medicine was neglected for so long. We then review exemplary research in two areas of medical ethnobiology – ethnophysiology and medical ethnobotany – that address the study of naturalistic aspects of medical systems. We conclude with suggestions for future research at the interface between medical ethnobiology and medical anthropology that will contribute to both fields.     

Bullying among medical students in a Saudi medical school

ABSTRACT: BACKGROUND: Bullying and sexual harassment of medical students by their teachers appears to be widespread phenomenon. However, nothing is published about its prevalence in conservative countries such as Saudi Arabia. This survey aims to ascertain the extent of these mistreatments among students in a Saudi medical school. FINDINGS: A cross-sectional questionnaire survey was conducted on a group of 542 clinical years' medical students in a Saudi medical school to explore students' perceptions of their educational environment including exposure to different kinds of bullying. Bullying was defined as "a "persistent behaviour against a medical student that is intimidating, degrading, offensive or malicious and undermines the confidence and self- esteem of the recipient". Results revealed that more than one quarter (28.0 %) of the surveyed students reported exposure to some sort of bullying during their clinical . Ninety percent of the reported insults were verbal, 6 % sexual and 4 % physical. Males were more exposed but difference was not statistically significant. CONCLUSIONS: Bullying among Saudi medical students is an existing problem. A policy against bullying and harassment should be adopted in all of medical colleges to monitor this phenomenon and support students who have been bullied.     

The EU medical device regulation: Implications for artificial intelligence-based medical device software in medical physics

Medical device manufacturers are increasingly applying artificial intelligence (AI) to innovate their products and to improve patient outcomes. Health institutions are also developing their own algorithms, to address specific needs for which no commercial product exists.Although AI-based algorithms offer good prospects for improving patient outcomes, their wide adoption in clinical practice is still limited. The most significant barriers to the trust required for wider implementation are safety and clinical performance assurance .Qualified medical physicist experts (MPEs) play a key role in safety and performance assessment of such tools, before and during integration in clinical practice. As AI methods drive clinical decision-making, their quality should be assured and tested. Occasionally, an MPE may be also involved in the in-house development of such an AI algorithm. It is therefore important for MPEs to be well informed about the current regulatory framework for Medical Devices.The new European Medical Device Regulation (EU MDR), with date of application set for 26 of May 2021, imposes stringent requirements that need to be met before such tools can be applied in clinical practice.The objective of this paper is to give MPEs perspective on how the EU MDR affects the development of AI-based medical device software. We present our perspective regarding how to implement a regulatory roadmap, from early-stage consideration through design and development, regulatory submission, and post-market surveillance. We have further included an explanation of how to set up a compliant quality management system to ensure reliable and consistent product quality, safety, and performance .     

Internet-based medical education

The Internet is revolutionizing medical education and medical practice by enabling teachers and students to utilize and integrate many forms of data in ways that cannot be done via classic textbooks. In cardiovascular medicine, dynamic images are essential for understanding cardiac function, coronary anatomy, and myocardial perfusion, as well as for learning cardiovascular pathophysiology and the typical and atypical presentations of disease states. Cardiosource, an educational Web site developed by the American College of Cardiology, illustrates the ways in which the Internet is being used to improve medical education and practice.