Discover how data sharing in the healthcare sector has the potential to improve medical outcomes all over the world.

Explore the benefits of healthcare organisations sharing data.

In an era where big data and artificial intelligence play an important role in healthcare, data sharing has huge potential for global health improvement and patient safety. This is especially pertinent during the COVID-19 pandemic.

On this course, you’ll explore the benefits and challenges of sharing healthcare data globally.

With support from industry experts, you’ll consider topics like the future of medical development, improving care, healthcare accessibility, and more.

You’ll also discover the strategies used by governments, funding bodies, institutions, and publishers to get access to datasets.

Revolutionizing Global Health Improvement through AI and Big Data

In today’s rapidly evolving technological landscape, the convergence of Artificial Intelligence (AI) and Big Data has ignited a paradigm shift in the realm of global health improvement.

This dynamic duo holds the potential to revolutionize healthcare practices, propelling them into an era of unprecedented accuracy, efficiency, and personalized care.

AI, with its cognitive abilities to process vast amounts of data and recognize intricate patterns, empowers healthcare professionals to make informed decisions, diagnose diseases at earlier stages, and predict outbreaks with remarkable precision.

Simultaneously, the abundance of Big Data, fueled by the digitalization of medical records, wearable devices, and genetic information, supplies the raw material for AI algorithms to thrive.

By assimilating data from diverse sources, AI can uncover insights that were once elusive, enabling evidence-based interventions and accelerating drug discovery processes.

As the symbiotic relationship between AI and Big Data deepens, the global health landscape stands on the cusp of a transformation that promises improved patient outcomes, reduced costs, and a brighter future for humanity’s well-being.

The Synergy of AI and Big Data in Advancing Global Healthcare

In an era defined by information, the harmonious marriage of Artificial Intelligence (AI) and Big Data is ushering in a new era of progress in global health enhancement.

AI’s capacity to emulate human cognition and its mastery over colossal datasets position it as a pivotal catalyst for healthcare innovation. The amalgamation of AI and Big Data instigates a wave of opportunities that ripple across diagnostics, treatment, and prevention strategies.

AI-driven diagnostic tools scrutinize medical images, genetic profiles, and patient records with unparalleled accuracy, aiding healthcare professionals in making quicker and more informed decisions. With Big Data fostering an environment rich in diverse health-related information, AI algorithms can dissect correlations and foresee health trends, equipping authorities to allocate resources efficiently and respond proactively to emerging health crises.

As the inseparable companionship between AI and Big Data continues to foster insights and solutions, the narrative of global health improvement is being rewritten, shaping a healthier and more resilient world for generations to come.

What topics will you cover?

This course is focused on studies of future global healthcare developments. Topics below will be discussed:

• How can massive data sharing in healthcare benefit medical development, such as in a pandemic like COVID-19?
• How can massive data improve patient safety?
• How can massive data improve healthcare quality, and achieve precision medicine?
• How can massive data help to achieve standardising global care? For Governments, funding bodies, institutions, and publishers, when given patients data, how do they develop strategies?

Who is this accredited by?

The CPD Certification Service: 

The CPD Certification Service: The CPD Certification Service was established in 1996 and is the leading independent CPD accreditation institution operating across industry sectors to complement the CPD policies of professional and academic bodies.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

• Available nowJoin today

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to…

• Describe how big data can improve the quality of healthcare in global pandemics.
• Explore how big data and artificial intelligence can play a vital role in global health improvement and study trials.
• Apply using big data and artificial intelligence to build new globally standardized methodologies to improve healthcare.
• Improve healthcare quality and patient safety using massive observational health data and artificial intelligence techniques.

Who is the course for?

This course is designed for anyone interested in big data and artificial intelligence applications in healthcare for global health improvement.

This is likely to include students, researchers, and healthcare professionals.

Who will you learn with?

Usman Iqbal

Assistant Professor with expertise in health data and informatics, health care quality and management, and Global Health.

Jack Li

Yu-Chuan Jack Li is a pioneer of AI in Medicine, Medical Informatics Research and a dermatologist in Taiwan. Find out more on http://www.jackli.cc

Who developed the course?

Taipei Medical University

Taipei Medical University (TMU) has been a leader in Taiwan’s healthcare system for over half a century due to its research, teaching excellence, internationalization and outstanding medical service.