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Certificate of Achievement
has completed the following course:
AI and Big Data in Global Health Improvement
This course explores future medical development. How to improve patient safety, enhance medical quality, achieve precise medicine, and increase medical accessibility, etc. Big Data in healthcare systems can help to improve diagnosis and research. This course also cooperates with The Observational Health Data Sciences and Informatics center (OHDSI) which encourages researchers to facilitate access to datasets. Topics of data sharing in healthcare are also discussed in this course.
4 weeks, 2 hours per week
Usman Iqbal
Assistant Professor, College of Public Health
Taipei Medical University
Transcript
Learning outcomes
- 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.
Syllabus
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?
Issued on 16th July 2020
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