Patient Care- Telemedicine

NIL

Yong Loo Lin School of Medicine

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Objectives

This course provides learners with basic concepts surrounding clinical information systems, with an emphasis on electronic health records, data privacy, clinical configuration, user interface design and computerized physician order entry. It provides an analysis of the role of information and communication technologies in enabling remote patient care and health professional collaboration as part of patient-self management. This is considered with reference to technological, clinical,sociological and policy perspectives. This course will provide a deeper understanding of the issues surrounding telehealth and recognise the value and basis for effective telehealth design with the use of data analytics. The course will describe the practical application of these concepts, including implementation, clinical workflow,privacy and security, certification, medical device integration, and community health information exchange. At the end of this course, learners will have an:
  • Understanding of the role and benefits of Telemedicine
  • Understanding of the limitations and challenges in the implementation of Telemedicine
This course can be bundled with the following courses to earn a Professional Certificate in Data Analytics and Artificial Intelligence for Healthcare :- * Ethics and Professionalism in Healthcare * Evidence-Based Practice * Introduction to Electronic Medical Records * Patient Education and Health Promotion * Quality and Patient Safety



Who Should Attend

Clinical and non-clinical healthcare professionals




Entry Requirements

  • current IT/healthcare employees
  • mid-career/potential staff looking to join healthcare IT




Class Schedule




Tutorial Schedule

Same day as lecture




Lesson Delivery

E Learning: 7 hours (online synchronous)




Full Fees (before GST)

S$950.00




Nett Fees payable after SSG Funding



NA


** Please note that the mode of delivery is subject to change in light of the COVID-19 situation. Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.

Upcoming Course Dates
TBC

Delivery Mode**
Online

Course Code
SOM-NON-PCTM

Funding Type
SSG Funding
Eligible for SkillsFuture Credit (SFC)
Alumni eVoucher (L3)

Type
Short Course

Stacks/ Bundles to
Professional Certificate in Data Analytics and Artificial Intelligence for Healthcare

Audit/Graded
Nil

Area of Interest
Healthcare & Medicine