Artificial intelligence (AI) is making waves in the healthcare industry worldwide. OpenAI’s ChatGPT, an AI language model, astounded the medical community by acing the United States Medical Licensing Exam without specialised training. Google’s Med-PaLM 2 mirrored this success, demonstrating AI’s potential to absorb and apply vast medical knowledge. AI’s power also extends to research, with McMaster University and MIT using it to discover new antibacterial molecules, marking a significant step in the fight against antimicrobial resistance. The East Asian and Pacific region has also seen greater increase in AI employability in healthcare market.
Indonesia, with its low physician-to-population ratio, stands to benefit immensely from AI’s potential. AI-powered chatbots, integrated with data from various sources, could enhance healthcare accessibility across the archipelago. The integration of AI with digital health platforms like Halodoc could potentially improve the quality of healthcare services in Indonesia. However, the journey towards AI integration is not without challenges. Bias in AI models, primarily trained on medical literature from high-income countries, is a significant concern. Indonesia must consider this bias when integrating AI with existing digital healthcare services. The use of local data, such as from Halodoc, is crucial for effective AI deployment in Indonesian healthcare.
Data acquisition for AI model training also raises serious privacy concerns. Despite the enactment of the Personal Data Protection Law in 2022, public unease over sensitive data leaks remains high in Indonesia. The country can learn from South Korea’s model of a centralised, secure, and ethical data-sharing system to build its national AI-based healthcare data ecosystem. The future of AI-enhanced healthcare necessitates a reimagining of healthcare education. Future professionals must be prepared to synergise with AI, requiring the development of AI-focused modules in medical and health curricula. By promoting stringent regulations, prioritising data privacy, and reimagining healthcare education, Indonesia can pave the way for a future where AI and human expertise harmoniously work together.
In conclusion, the integration of AI in healthcare presents a promising future for Indonesia. With careful consideration of potential challenges and the implementation of robust regulations, the country can leverage AI’s potential to improve healthcare accessibility and quality across the archipelago.
🚀 Discover how the AI-driven LabelComp tool is transforming drug safety surveillance! By automating the identification of adverse events in drug labelling, LabelComp enhances accuracy and efficiency, supporting regulatory decision-making and public health. 🌐💊
#SyenzaNews #AIinHealthcare #DrugSafety #PharmaInnovation #RegulatoryScience
🌟 School-based health centres (SBHCs) are improving healthcare for underserved youth across the US! These centres provide vital services, from preventive care to chronic disease management, right where students need them most – in schools. 📚🏥
SBHCs improve academic performance, reduce absenteeism, and enhance overall student well-being. Let’s support these essential centres and ensure every child has access to quality healthcare. 🌟
#SyenzaNews #SBHC #ChronicDiseaseManagement #HealthEquity #PreventiveCare
🌟 Exciting developments in Abu Dhabi! The Department of Health has introduced new ABA guidelines for Autism Spectrum Disorder, aiming to improve care for People of Determination. This initiative focuses on standardising care, enhancing accessibility, and fostering collaboration between healthcare and education professionals.
Learn more about how these guidelines can make a difference in the lives of individuals with ASD.
#SyenzaNews #HealthcareInnovation #AutismCare #InclusiveHealth #ABAGuidelines #AbuDhabiHealth
CORRESPONDENCE ADDRESS
WRITE US