Patient safety is a pertinent issue as compromised patient safety can lead to numerous dire consequences including unnecessary patient morbidity and mortality, demoralized staff's enthusiasm and tarnished institution's reputation.  One particular factor affecting patient safety is diagnostic errors. Illuminating the blind spot of diagnostic errors and improving diagnosis in health care may require a significant re-envisioning of the diagnostic process. This is because diagnostic error is a complex and multifaceted problem. One issue that increases the risk of diagnostic errors is cognitive biases. To address this challenge and to improve diagnosis for the patient, this course will address the complexity of clinical decision making and recommend strategies to minimize cognitive biases in order for one to become a better clinician and a decision-maker.

 Dr. Nariman Singmamae                                                                                                                                      

Correct and timely diagnosis relies on many factors, including knowledge, experience, and skill of a clinician and decision-maker. Therefore, it is crucial to have an excellent clinical judgment and learn strategies to minimize diagnostic errors. I hope by completing this course, you will become a better clinician and decision-maker in future. 

 Dr. Nariman Singmamae                                                                                                                          

Deputy Dean
Undergraduate and Student Development
Faculty of Medicine and Health Sciences
Universiti Malaysia Sarawak (UNIMAS)

[View her profile on UNIMAS Experts]

 Professor Dr. Chew Keng Sheng

Prof Dr. Chew Keng Sheng is a professor of medicine in the Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak (UNIMAS). He obtained his MD in 1999 from the School of Medical Sciences, Universiti Sains Malaysia (USM) and is a trained emergency physician, after obtaining his clinical Master of Medicine (Emergency Medicine) from the School of Medical Sciences, USM. In 2018, he obtained his PhD in medical education, with the focus on the area of developing a metacognitive mnemonic checklist to mitigate cognitive biases in clinical decision from the School of Health Education, Maastricht University, Netherlands. Prior to working in UNIMAS, he was a senior lecturer in the School of Medical Sciences, USM for 9 years from 2007 - 2015.

[View his profile on UNIMAS Experts]

 Dev Nath Kaushal

 RN (M'sia), Dip. (Nursing), PGDiP Teaching and Learning (UNIMAS), AEMTC (KKM, M'sia), BSc. Nursing (Monash, Aus),   Msc. Nursing (Northumbria, UK)

Dev is currently a lecturer with the Department of Nursing, Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak (UNIMAS) and is also heading the Clinical Simulation Centre of the faculty. He is specialized in emergency and trauma nursing and is also a certified instructor for first aid, basic life support (BLS) and advanced cardiovascular life support (ACLS).

Before embarking into academia, he served in the Emergency and Trauma Department where he was also engaged in medical evacuation, retrieval, and repatriation services. He was also involved in numerous other committees, including the hospital's code blue, disaster management and policy and procedure committee.

 [View his profile on UNIMAS Experts]

 Natasha Binti Anas

Registered Nurse (RN)
Currently pursuing Masters in Nursing Education

 Margeret Sanai

Registered Nurse (RN)
Currently pursuing Masters in Nursing Education