Leveraging social media for medical education: Learning from patients in online spaces

From Likes to Saving Lives: Embracing Social Media's Power to Connect, Learn, and Innovate in Medical Education Delivery

Social media have become an integral part of human life, because the manner in which we communicate, share information, and network with the external world is changing significantly. The purpose of the current review is to explore the role of social media in transforming medical education, identify the merits and the potential concerns, and propose effective strategies to overcome the identified challenges. Social media have significant potential in strengthening the delivery of medical education and meeting the scenarios emerging out of changing dynamics. The most important aspect of social media is that they have global reach and wide accessibility, and promotes active engagement of students. Similar to any other teaching-learning method, even the use of social media has its own limitations-cum-concerns. We must come out with potential solutions to each one of these problems so that overall acceptance and utilization of social media applications can be optimized. In conclusion, social media in medical education have immense potential to revolutionize learning and provide a platform for collaborative learning and networking. The need of the hour is to do systematic planning, train stakeholders, and establish guidelines for promoting effective engagement while using social media, and thereby keeping pace with the rapidly evolving healthcare landscape.

Future-proofing genomic data and consent management: a comprehensive review of technology innovations

Genomic information is increasingly used to inform medical treatments and manage future disease risks. However, any personal and societal gains must be carefully balanced against the risk to individuals contributing their genomic data. Expanding our understanding of actionable genomic insights requires researchers to access large global datasets to capture the complexity of genomic contribution to diseases. Similarly, clinicians need efficient access to a patient's genome as well as population-representative historical records for evidence-based decisions. Both researchers and clinicians hence rely on participants to consent to the use of their genomic data, which in turn requires trust in the professional and ethical handling of this information. Here, we review existing and emerging solutions for secure and effective genomic information management, including storage, encryption, consent, and authorization that are needed to build participant trust. We discuss recent innovations in cloud computing, quantum-computing-proof encryption, and self-sovereign identity. These innovations can augment key developments from within the genomics community, notably GA4GH Passports and the Crypt4GH file container standard. We also explore how decentralized storage as well as the digital consenting process can offer culturally acceptable processes to encourage data contributions from ethnic minorities. We conclude that the individual and their right for self-determination needs to be put at the center of any genomics framework, because only on an individual level can the received benefits be accurately balanced against the risk of exposing private information.

Student Perception and Preferences With Social Media for Enhanced Learning in Health Sciences Following Post-COVID-19 Era: A Cross-Sectional Study

Background During the COVID-19 pandemic, universities worldwide pivoted to distance education, primarily online, using various blended learning tools. In the contemporary era, characterized by widespread high-speed internet and the ubiquity of social media (SM), SM has become an essential tool, especially among students. This study aimed to assess the perception, impact, and preferences of various SM platforms for learning among health sciences students in the post-COVID-19 era. Methodology The study was conducted at constituent colleges of Jouf University and Northern Border University between January and June 2022. Responses from 560 students were assessed using a self-administered, pre-validated questionnaire comprising 31 questions. These questions addressed students' perceptions, preferences, and learning modes derived from SM. Descriptive and inferential statistics evaluated the influence of SM on student learning. Results On average, students spent 3.18 hours daily on SM. YouTube (41.1%) and Instagram (37.1%) emerged as the most preferred platforms for learning. A significant 86.4% of students utilized SM for accessing subject-related texts and watching related videos. Moreover, 78.6% believed that SM platforms enhanced their subject knowledge following lectures. Logistic regression analysis indicated maximum learning benefits for students who used SM between two to three hours daily. Conclusion Social media platforms, when used judiciously, can enhance the learning experience for health sciences students in the post-COVID era. While offering opportunities to acquire new knowledge and skills, care must be taken to prevent misuse, abuse, or related health hazards.

How to begin using social media for transfusion medicine education

This article highlights fundamentals that are important for the transfusion medicine educator to understand about social media. Several examples of personal practical application are shared. Finally, the potential future state of social media will be discussed. In the spirit of a growth mindset, please suspend any previous judgements about social media and allow yourself to consider the possibility of using social media with your transfusion education.

Enhancing clinical judgement in virtual care for complex chronic disease

The COVID-19 pandemic has transformed traditional in-person care into a new reality of virtual care for patients with complex chronic disease (CCD), but how has this transformation impacted clinical judgement? I argue that virtual specialist-patient interaction challenges clinical reasoning and clinical judgement (clinical reasoning combined with statistical reasoning). However, clinical reasoning can improve by recognising the abductive, deductive, and inductive methods that the clinician employs. Abductive reasoning leading to an inference to the best explanation or invention of an explanatory hypothesis is the default response to unfamiliar or confusing situations. Deductive reasoning supports a previously established goal, but deductive accuracy requires sound premises leading to a valid conclusion. Inductive reasoning uses efficient data sorting, data interpretation, and plan creation without a previously established goal, and allows assessing inferential accuracy over time. In all cases, communication remains the backbone of the clinical encounter. Virtual care for CCD challenges clinical judgement by reducing available information, so even experienced specialists who use induction might default to deduction or abduction. The visit might shorten, decreasing narrative competence and in-turn management quality. Clinical judgement in virtual encounters can be enhanced by allowing sufficient time, employing allied health staff, using an advance script, avoiding dogmatic commitment to either virtual or in-person encounters, special training in virtual care, and conscious awareness of abductive, deductive, and inductive reasoning processes. Clinical judgement in virtual encounters especially calls for Gestalt cognition to assess a situational pattern irreducible to its parts and independent of its particulars, so that efficient data interpretation and self-reflection are enabled. Gestalt cognition integrates abduction, deduction, and induction, appropriately divides the time and effort spent on each, and can compensate for reduced available information. Evaluating one's clinical judgement for those components especially vulnerable to compromise can help optimize the delivery of virtual care for patients with CCD.

Evaluation of Key Performance Indicators (KPIs) for Sustainable Postgraduate Medical Training: An Opportunity for Implementing an Innovative Approach to Advance the Quality of Training Programs at the Saudi Commission for Health Specialties (SCFHS)

The Kingdom of Saudi Arabia is undergoing a major transformation in response to a revolutionary vision of 2030, given that healthcare reform is one of the top priorities. With the objective of improving healthcare and allied professional performance in the Kingdom to meet the international standards, the Saudi Commission for Health Specialties (SCFHS) has recently developed a strategic plan that focuses on expanding training programs’ capacity to align with the increasing demand for the country’s healthcare workforce, providing comprehensive quality assurance and control to ensure training programs uphold high quality standards, and providing advanced training programs benchmarked against international standards. In this research paper, we describe our attempt for developing a general framework for key performance indicators (KPIs) and the related metrics, with the aim of contributing to developing new strategies for better medical training compatible with the future. We present the results of a survey conducted in the Kingdom of Saudi Arabia (KSA), for the enhancement of quality of postgraduate medical training. The recent developments in the field of learning analytics present an opportunity for utilizing big data and artificial intelligence in the design and implementation of socio-technical systems with significant potential social impact. We summarize the key aspects of the Training Quality Assurance Initiative and suggest a new approach for designing a new data and services ecosystem for personalized health professionals training in the KSA. The study also contributes to the theoretical knowledge on the integration of sustainability and medical training and education by proposing a framework that can enhance future initiatives from various health organizations.