Artificial intelligence (AI) is reshaping the healthcare landscape, serving as a crucial ally in various domains such as research, diagnosis, treatment planning, and patient care. Recognizing the significance of AI, Dr. Leeynesh Sooriyapiragasam, a clinical lecturer at Newcastle University Medicine Malaysia (NUMed), highlights the need to connect medical students” theoretical knowledge of AI with its practical applications in the field.
Recent studies in Malaysia reveal that while medical students are generally aware of AI”s vital role in healthcare, many lack confidence in their ability to utilize AI effectively upon graduation. Dr. Leeynesh emphasizes that the healthcare sector requires not only doctors proficient in using AI tools but also professionals who comprehend the limitations and ethical dilemmas associated with these technologies. He stated, “Currently, there exists a significant gap between theoretical knowledge and practical skills among students.”
This disparity between awareness and readiness has propelled NUMed to foster an educational framework that encourages future healthcare workers to actively engage in the advancement of AI. Preparing students for AI in healthcare transcends merely investing in advanced software; it necessitates a shift in how medical professionals collaborate with AI technologies. To achieve this, early intervention in training is critical.
Dr. Leeynesh remarked, “Medical education should extend beyond theoretical frameworks, equipping students with practical skills to interpret AI-generated outputs, identify potential biases, and judiciously apply AI insights in clinical settings. Equally important is interprofessional education, where medical students can learn alongside data scientists and engineers to maximize AI”s effectiveness.”
At NUMed, AI is integrated into the curriculum through various methods, including a virtual medical learning environment (MLE), digital health modules, and evidence-based medicine courses that encompass data analytics. Students are urged to critically evaluate AI-driven research and contemplate ethical challenges. Some express a keen interest in machine learning applications in medicine and pursue additional studies during their electives.
According to Dr. Leeynesh, “Our unique approach combines technical knowledge with medical professionalism, ensuring that students develop both skill sets and ethical understanding. Our objective is to graduate confident and responsible healthcare professionals who can lead the way in AI implementation rather than just follow its lead.”
NUMed students also have the chance to engage in research projects that utilize AI within clinical datasets and participate in collaborative efforts with hospitals, leveraging Newcastle University”s extensive research network in the UK. During their electives in the UK, several students become involved in quality improvement projects in healthcare that incorporate AI methodologies.
Moreover, a growing number of healthcare technology companies in Malaysia are offering internships to medical students. These experiences with digital health startups allow students to gain practical exposure, familiarize themselves with AI tools, and better prepare for their future careers in healthcare.
As AI continues to develop into a collaborative partner in healthcare over the next decade, professionals in the field will need to cultivate digital literacy, critical evaluation skills, ethical awareness, and adaptability. For more information on how NUMed can assist in embracing AI as a healthcare professional, interested individuals can visit NUMed”s website, email [email protected], call 07-555 3800, or reach out via WhatsApp at 011-1231 5411/012-784 9456.
