Healthcare
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Ai for Healthcare

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Course Features

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Duration

2 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Effort

6 hours per week

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Teaching Type

Instructor Paced

Course Description

Nearly every aspect of healthcare is being revolutionized by artificial intelligence (AI) technology. The innovations of AI continue optimizing and improving medical services, from data management to drug discovery and treatment to clinical practice and patient care.

By understanding the impact of current and emerging AI technologies--including global trends and regulatory constraints--healthcare professionals can drive decision-making, elevate patient care, and improve profitability and performance. This programme will help you make a difference in your organization, whether you are looking to invest in AI projects to improve healthcare research predictability and speed, create secure solutions for customers and patients, or develop products that enhance medical services.

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Highlights

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Hands on training

Top 5 Percentile

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Pedagogy

Top 30 Percentile

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Course Credibility

Top 1 Percentile

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Parameters

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Course Credibility

Delivered through Emeritus a renowned institution in the field, this course offers a comprehensive learning experience.

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Pedagogy

This comprehensive course equips you with all major Healthcare Operations skills applicable to your daily life. Personalized teaching ensures one-on-one doubt resolution with faculty, maximizing skill acquisition. These practical skills empower you to confidently apply your knowledge and thrive in various real-life situations.

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Hands on training

This course stands out as one of the top 5 percentile options in Healthcare Operations, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training and Capstone Projects / Industry-Simulation as well as essential Case Based Learning, this course is tailored to meet diverse educational needs.

Course Overview

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Live Class

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Human Interaction

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Personlized Teaching

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

By understanding the impact of current and emerging AI technologies—including global trends and regulatory constraints—healthcare professionals can drive decision-making, elevate patient care, and improve profitability and performance

Whether you want to gain the knowledge to invest in AI projects that can move healthcare research ahead faster and with greater predictability, design secure solutions for patients and customers, or develop enhanced products related to medical services, t

Target Students

Technology-driven sectors where AI applications are critical, including healthcare, medical services, medical devices, pharmaceuticals, biotechnology, ed tech, IT, real estate, and telecommunications

CEO, CIO, chairman, director, associate director, senior director of health care, pharmaceuticals, medical devices, information technology, and other relevant industries

General manager, product manager, marketing manager, account manager, operations manager, project manager of healthcare, biotechnology, ed tech, and medical devices

Founder, co-founder of healthcare, medical services, and pharmaceutical industries

Course Instructors

Associate Prof Ngiam Kee Yuan

Faculty NUS Yong Loo Lin School of Medicine

Associate Professor Ngiam is Senior Consultant at the Division of General Surgery at the National University Hospital (NUH) who specialises in thyroid and endocrine surgical disorders. He also serves...

Prof Dean Ho

Faculty NUS Yong Loo Lin School of Medicine

Prof Dean Ho is Provost’s Chair Professor, Director of The N.1 Institute for Health (N.1), Director of the Institute for Digital Medicine (WisDM), and Head of the Department of Biomedical Engineering at the National University of Singapore.

Dr Feng Mengling

Faculty NUS Yong Loo Lin School of Medicine

Dr Feng is currently the Assistant Director of Research at the Institute for Data Science, National University of Singapore. He also serves as the Senior Assistant Director of National University Hos...

Dr Kenneth Ban

Faculty NUS Yong Loo Lin School of Medicine

Dr Ban obtained his BSc (Hons) in Biochemistry and MBBS degrees from NUS and a PhD in Cancer Biology from Stanford University. He completed his postdoctoral training in mouse cancer genetics at the I...
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