AI in healthcare should enhance human clinical judgment: Medvarsity

Medvarsity is Asia’s largest healthcare EdTech company with focus on improving the medical outcomes through better training. Their blended learning model combines online learning (synchronous and asynchronous) with bedside learning across 150+ hospital partners, to create a demonstrable improvement in the quality of care.

Medvarsity is the only EdTech company in Asia to be accredited by the British Accreditation Council (BAC) for online, distance, and blended learning, and by CPD Standards UK for CPD credits.

Gerald Jaideep, CEO, Medvarsity, tells us more. Excerpts from an interview: 

DQ: How are you incorporating AI-driven learning modules into your courses to enhance hands-on experience for healthcare professionals?

Gerald Jaideep: At Medvarsity, our goal is to integrate technology in a way that enhances the practical skills and decision-making abilities of healthcare professionals. We are currently working on incorporating simulation training and virtual case studies into our courses, which allow learners to experience real-world clinical scenarios in a safe, controlled environment. 

AI helps personalize these modules, adapting to the learning pace and knowledge gaps of individual students, ensuring a more hands-on, dynamic learning experience. Our focus remains on providing professionals with tools that simulate the complexities of real-world healthcare, enhancing their ability to apply knowledge in clinical settings.

DQ: With the global reach of your programs, how do you tailor the curriculum to address the varying regulatory and ethical considerations surrounding AI in healthcare across different regions?

Gerald Jaideep: Our global footprint means that we must be highly mindful of the differing regulatory and ethical frameworks surrounding AI in healthcare. While our core content remains focused on fundamental clinical skills and technological advancements, we adapt our curriculum to each region’s specific requirements by working closely with local regulatory bodies and healthcare authorities. 

We ensure that professionals not only understand the universal benefits of AI in healthcare, but are also well-versed in region-specific guidelines related to privacy, data security, and ethical considerations. This enables them to leverage AI responsibly within their local contexts.

DQ: As AI disrupts traditional healthcare roles, how are you adapting your programs to ensure professionals stay up to date and continuously upskill to remain relevant in this evolving landscape?

Gerald Jaideep: AI is undoubtedly transforming healthcare roles, and to keep pace, we are focused on offering continuous learning opportunities. At Medvarsity, we design our programs to be highly flexible and modular, allowing healthcare professionals to stay updated with the latest advancements in AI and medical technology as they emerge. This ensures they remain relevant in a rapidly evolving landscape. 

Additionally, we are committed to building curricula that emphasize AI’s role as a tool that augments the skills of healthcare professionals, ensuring they can integrate new technologies without feeling displaced.

DQ: With the rapid advancements in technology, especially with the rise of GenAI, what challenges do you face in ensuring that educational content remains accurate and reliable?

Gerald Jaideep: With the rapid evolution of Generative AI and other technologies, maintaining the accuracy and reliability of our educational content is a priority. One of the key challenges is ensuring that the information we provide is current and clinically validated. To address this, we collaborate with medical professionals, clinicians, and AI experts to constantly review and update our content. 

We also ensure that the integration of AI tools in our learning modules is backed by reliable data sources and research, maintaining a balance between innovation and clinical rigor.

DQ: How do you ensure that AI complements, rather than overshadows, a doctor’s clinical judgment, maintaining a balance between AI insights and human decision-making in healthcare?

Gerald Jaideep: AI in healthcare should always serve as a tool to enhance, not replace, human clinical judgment. At Medvarsity, we emphasize this balance in our programs by focusing on how AI can assist healthcare professionals in making more informed decisions. 

Our courses highlight the importance of understanding AI’s limitations and using it as a supportive resource in diagnosis and treatment, while clinical judgment remains at the core of patient care. We believe that fostering this synergy between AI and human expertise is essential to driving better patient outcomes.