Advanced Evidence Based Patient Care

BMI5107 Advanced Evidence Based Patient Care

This module will:

1. Equip students with data analytic and evidence synthesis skills, one of the most in-demand skills in the healthcare industry
2. Teach students to apply Bayesian concepts such as likelihood ratios to refine mental diagnostic algorithms

Key takeaways:
Choosing the right treatment for the right patient at the right time and right context

Avoid costly and ineffective treatments

To better appreciate and gain the ability to critique international and national guidelines

To enhance patient communication especially as a younger generation of patients are becoming more well-read and are actively engaged in their own care (many younger to middle-aged patients nowadays read voraciously about their condition, and the medical literature, before coming to the clinic. Doctors need to adapt to this social trend by being able to articulate the rationale for their recommendations in a data-driven and transparent manner)

After reading this module, students will be able to:

Influence clinical decision-making to be more data-driven and transparent

Learn to be able to articulate the rationale behind clinical decisions to patients and their family using data-driven approaches, so as to improve patient communication in an era where patients are more well-read and want to be more involved in their own decision-making.

With a proliferation of clinical research, it can be difficult to keep pace with the latest research findings and correctly interpret them. BMI5107 teaches clinicians and non-clinicians how to gather the most up-to-date medical research data efficiently and robustly.

Lessons will be interactive and case-based, using real-life scenarios.