Skip to main content

Teaching Programme - "Case Based Blended Learning Ecosystem"

 

Teaching Programme

 

In collaboration with my professor, Dr. Rakesh Biswas (Prof. & Head, Department of Medicine), we have devised a novel teaching programme which enables interested students and stakeholders to embrace a mode of online asynchronous learning using WhatsApp and Blogger blogs.

The programme is titled - "Case Based Blended Learning Ecosystem" and involves sharing deidentified patient data on blogger blogs and sharing them on WhatsApp to enable a system of online learning, discussion on approach to the patient's problems and facilitating review of literature to best address those patient problems. Patient related outcomes are our priority.

The programme is devised for –

  1.  Undergraduate students 
  2.  Interns
  3.  Postgraduate students 
  4.  Global network of students on our WhatsApp groups

The stated objectives of the teaching programme are –

  1. To improve history taking with a focus on patient-centred problems.
  2. To perform a targeted clinical exam with video demonstration of relevant clinical signs.
  3. To perform a critical and clinically sound analysis of the history and physical exam and generate a list of differential diagnoses.
  4. To perform interpretation of laboratory data and demonstrate an understanding of test characteristics by performing a review of literature.
  5. To demonstrate procedural competencies on video.

Medium in which the programme is conducted – WhatsApp groups and Blogger blogs

This programme will be subjected to a QI (quality improvement) methodology and will be periodically audited against an established set of benchmarks and the results of each cycle will be published in this blog.

Quality Improvement Cycle 1 - February 2022

Comments

Most Popular

Evidence Documents for Higher Specialty Training Application

As part of my application to higher specialty training (HST) in the UK, I have decided to collect all evidence documents and publish them online. I already have them stored on my hard drive but I thought it would be helpful to others who are also interested in applying to HST at a later date. A link to the revised application scoring criteria , applicable from November 2022 for the 2023 academic recruitment (August 2023 to December 2023) is here Edited - 26 October 2023 Images from the application scoring criteria are shown below for easier understanding. Text highlighted in green applies to my application, highlighted in yellow/orange is what is possible before I submit my application (such as scoring a full 8/8 for MRCP UK; scoring 8/8 for a publication as first author). My scores in all areas of the application are highest, except in Additional achievements, for which I can only get 1 point and score for training in teaching is likely to be the same at 2 points. The domains in the p