AI and Big Data in Global Health Improvement

I recently completed the course "AI and Big Data in Global Health Improvement" offered by Taipei Medical University via FutureLearn and I must say, it exceeded my expectations. I wholeheartedly recommend it to anyone interested in the intersection of technology, data science, and healthcare.

The course explores how artificial intelligence (AI) and big data can be leveraged to improve health outcomes on a global scale. It is divided into structured, easy-to-follow modules, which provide a deep understanding of both theoretical concepts and their practical applications.

The instructors from Taipei Medical University are clearly experts in their fields and have managed to distill complex subjects into digestible segments. They are articulate, engaging, and proficient at explaining multifaceted topics such as AI algorithms, data analytics, predictive modeling, and their roles in healthcare.

One of the major strengths of this course is the use of real-world case studies and practical examples. These helped me understand the relevance and impact of AI and big data in various healthcare scenarios, from disease outbreak prediction and control, personalized medicine, to health policy planning. I was particularly impressed with the in-depth exploration of current trends and future possibilities in digital health technologies.

The course also encourages active participation through thoughtful discussion prompts and quizzes. These interactive elements enhanced my understanding of the content and fostered a sense of community among learners. Moreover, the course material was supplemented with relevant research articles, offering a comprehensive view of the subject matter.

Despite the technical nature of the course, it is well designed for learners with diverse backgrounds. The foundational modules provide a good starting point for those who are new to AI or big data. For seasoned professionals, it presents an opportunity to explore these technologies in the context of healthcare and learn about potential career paths in this rapidly evolving field.

However, the course might benefit from providing some additional resources or tutorials on data analysis tools and programming languages that are commonly used in AI and big data projects. This could offer a more hands-on experience for learners eager to apply what they've learned.

In conclusion, "AI and Big Data in Global Health Improvement" is a well-rounded course that provides a deep dive into an incredibly relevant topic. It successfully combines theory with practical applications, ensuring learners come away with a strong understanding of how AI and big data can drive improvements in global health outcomes.

The use of big data and artificial intelligence (AI) technology can create smart hospitals that can solve health problems in Indonesia, such as the COVID-19 pandemic that is currently happening. However, to achieve this, prerequisites are needed, such as reliable clinical and non-clinical data processing and an increased role of health information system technology in hospitals. The digitization and automation of hospital systems is key.

Studies show that digitization and automation increase maintenance efficiency with error-prone manual processes. Information systems manuals cannot be relied on for the analysis process at the level of individual patient care and epidemiology which is needed in the handling of a global pandemic.

The AI ​​used will provide information, insights, actions and automated assistance that can optimize the decision-making process for hospitals. Meanwhile the Inventory Management System provides functions and services for handling stock, ordered goods, incoming goods, and merchandise for sale.