Quality and Patient Safety

NIL

Yong Loo Lin School of Medicine

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Objectives

This course is specially designed to equip participants with comprehensive working knowledge necessary for evidence-based medicine and clinical practice guidelines. Overview of design, implementation and evaluation of the features in clinical information systems will be presented to learners, so as to enhance their understanding of the effectiveness of the clinical decision making process. Learners will be able to identify potential risks and consequential patient safety outcomes. This course will provide a deeper understanding of foundational concepts of clinical decision support systems — an area that utilises both biomedical and computer sciences to enhance effectiveness of the clinical decision making process, where necessary. With increased emphasis on quality and patient safety in provision of care, continuous improvement and innovations to streamline processes effectively is key to higher productivity. At the end of this course, learners will have an:
  • Understanding of Evidence-Based Medicine and Clinical Practice Guidelines
  • Overview of Clinical Decision Support Systems
  • Overview of Safety, Quality and Value metrics for patients
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 Care-Telemedicine * Patient Education and Health Promotion



Who Should Attend

Clinical and non-clinical healthcare professionals




Entry Requirements

  • current IT/healthcare employees
  • mid-career/potential staff looking to join healthcare IT
  • mid-career/potential staff in the field of healthcare quality assurance and patient safety




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-QPS

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