Sunday, March 20, 2022

PhD MD program through a case based blended learning ecosystem CBBLE

What requirement does this project address:


WHY? 

Current gap in translational research where bench researchers need to be driven by bedside questions to bridge patient requirements that often go unaddressed. 

Currently most questions generated at the bedside by individual patients are handled by bedside MDs who may be able to deliver ready made solutions only if made available by bench researchers Phds. 

However PhDs are currently not available at the bedside so that many questions that are generated uniquely through individual patient requirements are often ignored building up needless apathy detrimental to the learning ecosystem. 

If PhDs are to spend more time at bedside gainfully toward developing precision medicine that caters to unique requirements in individual patients, it's very important to provide PhDs with skills that enable them to handle patients and make them equal partners in patient care. 

HOW? 

Proof of concept hypothesis :

The proposed PhD MD program can enable potential trainees to achieve all the competencies that currently are possessed by general physicians in 3 years. This can be done in a patient centered manner, which will enable these trainees to achieve the same competencies in three years that currently Indian Medical graduates take 5+3 years of MBBS (5y)  and MD (residency 3y). In effect they will be working as apprenticed residents from day 1 of their MD training and learning certain essential basic sciences on the job contextually rather than spend time learning them out of the patient context as is the current norm in mbbs. All this is currently functional as part of a published elective program and case based blended learning ecosystem (referenced here : 



Inclusion eligibilty criteria :

Masters in any discipline with strong commitment to healthcare research and practice 

PhD in any discipline 



Proof of concept evaluation after completion of the first pilot :

The trainees after completion of three years of the MD training phase along with regular daily formative assessments available for transparent and accountable audit, will be finally evaluated in a blinded summative assessment that will be performed by clinical MDs (Professors from institutes of national importance again in a videographed patient centered interview that can be archived for future reference). 

Once the final summative assessment is cleared by the PhD MD trainees at the end of three years, the Masters candidates will move to the PhD leg of this program for another three years where they shall integrate their bedside training with their masters level bench training. For the PhD candidates who enter this program, the PhD MD degree will be awarded and the newly passed out PhD MD will be employed by the institution where the candidate will continue to practice their bench and bedside skills as a part of the institutional CBBLE that they had gotten used to during their MD training phase. At no point will they be allowed to practice medicine outside their institutional CBBLE but this cohort of scientist physicians will be followed up on their bedside and bench achievements, which will be duly made transparent with full accountability to the public. 

WHAT? 

Expected outcomes :

Creation of a high value human resource cohort of scientist physicians with predictably high value achievements in their future years in bench and bedside translational research working within their institutional CBBLE. 

Attrition of trainees unable to take the first leg of the program that is residency as they may not be able to develop the aptitude for it. 

Project plan :

Step 1:

Ethical committee review and approval 

Step 2:

Participant selection with a three month probation and trial run, allowing for significant number of drop outs that would be expected given the current novelty of the program that necessitates polymathic survival skills. 

Step 3:

MD training phase along with regular daily formative assessments available for transparent and accountable audit begins toward completion after 3 years 

Online learning portfolios for formative assessments available in current CBBLE dashboard here here : 



Step 4:

Final evaluation in a blinded summative assessment that will be performed by clinical MDs (Professors from institutes of national importance again in a videographed patient centered interview that can be archived for future reference) at the end of the first leg of the program, which is three years (out of total six years for those who entered after their masters).

Sample final summative assessment (actual formal university assessment conducted and videographed last year : 

Step 5:

Masters candidates will move to the PhD leg of this program for another three years where they shall integrate their bedside training with their masters level bench training. For the PhD candidates who enter this program, the PhD MD degree will be awarded and the newly passed out PhD MD will be employed by the institution where the candidate will continue to practice their bench and bedside skills as a part of the institutional CBBLE that they had gotten used to during their MD training phase

SWOT analysis 

SO WHAT? 

Strengths:

Creation of a high value human resource cohort of scientist physicians with predictably high value achievements in their future years in bench and bedside translational research working within their institutional CBBLE. 

Weaknesses :

Expected attrition of trainees unable to take the first leg of the program that is residency as they may not be able to develop the aptitude for it as this program would require polymathic skills. More about it here :  http://www.pitt.edu/~super1/lecture/lec54101/001.htm)

Outcomes are dependent on the commitment of all CBBLE participants including not just trainees and immediate supervisors but all stakeholders taking care of the patient including hospital administration and considerable improvement will be necessary in all the stakeholders to be able to achieve our project objectives. 


Opportunities:

Creation of high value solutions developed by this cohort of bench-bedside scientist physicians that can be utilized globally 

This approach can be scaled to various institutions in the nation resulting in improvement in the local research and learning ecosystems of those institutions 

Threats:

This is a potentially disruptive innovation with considerable leverage being transferred from a traditional healthcare training that thrives on retail of available solutions alone to a scientific evidence based precision medicine approach to also developing innovative solutions for individual patient requirements. This may immediately alienate multiple stakeholders such as traditional non evidence based, non transparent solo practitioners who may not be able to thrive in an ecosystem that values self directed life long learning and real time evidence based clinical audit of practice. 

Further notes (formative reflections) on initiating this project :


What I have been reviewing here is astounding. 

We have a very good case for opening a PhD MD program because the current MD PhD program as devised in US is full of loopholes https://en.m.wikipedia.org/wiki/MD%E2%80%93PhD

Although it's limited to Wikipedia and what we may be reviewing is just a tip of the iceberg we have only a few illustrious MD PhDs and one of them is serving a life sentence! 😨

Again currently the blame is on this individual but it's likely to be the faulty market driven US education system that gave rise to that monstrous failure (and we must remember that there are perhaps many that are unreported). 

The biggest issue is how did they allow him to pass the training program? 

In our proposed system we shall have our PhD MD program connected to a CBBLE aka case based blended learning ecosystem with full transparency and accountability in training and practice from day 1 and we can pilot it here with IIT PhDs or MScs if we can set up a collaborative project.

Further reading and further thoughts :


Image copyright with website linked below :


Sunday, March 13, 2022

MBBS 2019 batch March 2022 internal assessment question paper prepared from patient data driven group learning with shared date and time links from the group

DEPARTMENT OF GENERAL MEDICINE

4TH SEM Ist - INTERNAL ASSESSMENT EXAMINATION

MARCH - 2022

Date:                       

Time: 10 am to 1 pm

Note: Answer all questions       

SET - A                  Max Marks: 100   


Long questions 2*15 = 30


1.Etiology ,pathogenesis , management, complications of acute pancreatitis 



2.Etiology, investigations and  management of ascites. 


Short questions 8*5 = 40

3.Etilogical classification of AKI 


4.Management of dengue 


5.Clinical features, investigations, management of iron deficiency anemia 



6.Causes of Chronic Liver Disease, Management of hepatic encephalopathy


7.Classification and etiology of seizures


8.Types of pulmonary edema , management.


9.Causes of pedal edema  and management? 


10.Clinical features and management of heart failure



Very short questions : 10x3 =30 


11.Mention the causes of chronic  renal failure.

12. hypersplenism

13.Scabies

14.Drug therapy of OP poisoning

15.Mention causes of secondary hypertension

16.Features of sickle cell crisis

17.Spontaneous bacterial peritonitis

18.Drugs used in Migraine.

19.Indications of hemodialysis 

20.Jugular venous pressure ?

Wednesday, March 9, 2022

Usage and creation of E learning resources by our departmental local and global CBBLE

All the E learning resources used and created by our departmental local and global CBBLE (case based blended learning ecosystem) was done to meet the demands of our regular learning and patient care workflow. More details about our CBBLE (case based blended learning ecosystem)  available in this publication here : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163835/


Daily workflow of our case based blended learning ecosystem aka CBBLE (and links to E resources utilized) 


Our regular patient centered learning workday begins with our post graduate residents meeting our patients in the wards and ICUs from 8:00 AM to 9:00 AM while one unit batch of post graduates look after the outpatient that opens at 9:00 AM.  A tabular summary of our daily workflow is linked here: http://medicinedepartment.blogspot.com/2021/02/medicine-department-time-table.html?m=0
and below we also provide links to the E resources utilized. 

E learning resource 1: online discussion group 

Ours is a blended offline and online learning program with our offline interns and residents beginning the day by sharing our last night new admissions and overall inpatient data and their experiences in meeting those patient challenges in our local CBBLE, which is an online discussion group accessible only to group members where individual  case details are shared as individual  case report links after patient deidentification and signed informed consent. 

Some examples :



Quality improvement cycle :


E learning resource 2: online archived videos of ward rounds and flipped classroom sessions.  


Once the patients shared in the online group are discussed thoroughly by all departmental students and faculty, the rounds begin in the manner below :


(in the above example our rounds were archived as a youtube video learning resource for globally interested students) 

UG teaching learning workflow in medicine begins at 11:00 -1:00 PM post 8-10 AM- PG rounds and 10-11AM- UG case taking followed by 11:00-1:00 AM unit wise UG case presentation and discussion.

All videos of our teaching learning workflow beginning with theory lecture classes in flipped classrooms as well as practical case and procedural demonstrations are captured, created and archived here as an E learning resource : https://youtube.com/playlist?list=PLvYjjuT_hEEQDtlHSAvFdRpCb5EBszwgR





E learning resource 3: Online Learning Portfolios of every participant of our local and global CBBLE linked below as batchwise dashboards :


Friday, February 18, 2022

Dashboard for our current CBBLE (case based blended learning ecosystem) with brief history timeline

There is a detailed timeline linked below but let's start from the time we started an elective learning program for those interested in solving "wicked problems" in healthcare with a focus on individual patients and although in various institutions since its inception a decade ago, it is currently linked here : 

medicinedepartment.blogspot.com/2021/03/medicine-department-training-programs.html?m=0

Below is the previous link from it's nominal sponsor:

https://web.archive.org/web/20180919211055/https://promotions.bmj.com/jnl/bmj-case-reports-student-electives-2/


There is more here about how the elective program began and gradually worked parallely with our research into "user driven healthcare UDHC :



Here's about how it transformed into the current CBBLE since 2017 at Narketpally : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163835/

More timeline at the bottom of this write up. 

Current CBBLE dashboard :

E logged online learning portfolios (currently around thousand portfolios of 200 students from five batches logging around 5000 case reports) that are displayed for each batch entry year wise here :

MBBS 

2013: 










MD General Medicine :










BDS:




Elective students :


Our current CBBLE is being further developed by some of our recent past students through a quality improvement QI project detailed here : https://adityasamitinjay.blogspot.com/2022/02/quality-improvement-cycle-1-of-teaching.html?m=1

Timeline from 2 decades back :



A picture of the way to our campus auditorium  where the offline component of our CBBLE partly  operates 

Saturday, January 22, 2022

Revised conference schedule "2022 Clinical Problem solving

 

Please refer to the changes shared below in our initial conference schedule shared here:  http://medicinedepartment.blogspot.com/2021/12/medicine-conference-on-theme-clinical.html?m=1

To accommodate our US experts so that they can finish and go to sleep we are starting with them at 8:00 AM and as our keynote speaker, Prof Anand has to return to his meeting in IIT Chennai (which he is having to break from to attend ours) we shall also let Prof Anand have the first speech.

So the revised order of conference speakers is:

US Experts first at 8:00 AM,  25th January 2020 👇

Prof Michele Meltzer online from Philadelphia 

Prof Binod Dhakal online from Wisconsin 

Followed by Prof Akshay Anand's keynote offline at Narketpally 

Followed by Dr. Aashita offline at Narketpally (and expert Dr Kaushik Sundar  Neurologist online from Kolkata) 

And then accompanied by offline moderators (Faculty of Medicine along with guest faculty already detailed in the original link here : http://medicinedepartment.blogspot.com/2021/12/medicine-conference-on-theme-clinical.html?m=1) we have next in the list of day speakers: 

Dr Rashmita offline at Narketpally 

Dr A Vaishnavi offline at Narketpally 

Dr K Vaishnavi offline at Narketpally 

Post lunch 👇

Dr Nikita (along with expert Dr Usha offline) at Narketpally 

Dr Ajit offline at Narketpally (along with expert Prof Preeti Nair online from Bhopal) 

Dr Susmitha  (along with expert Dr Usha offline) at Narketpally 

Dr Ushashree (along with expert Dr Usha offline) at Narketpally 

Dr Divya (along with expert Dr Usha offline) at Narketpally 

Dr Zain (along with expert Dr Usha offline) at Narketpally 

Followed by 

Prize distribution 

Vote of thanks



Monday, January 17, 2022

List of specially invited delegates to the 2022 Clinical Problem Solving conference

Dear Dr, This is to welcome you as a specially invited delegate in the 2022 clinical problem solving conference in view of your past competencies, demonstrated interest and future potential for scholarship and leadership in this area (also evidenced by your published online learning portfolio linked below). 


It's possible that we have overlooked and missed other students whose talents have been invisible to us for some reason and we hope we shall be able to discover more such talents in the near future. 

Three of you have also been invited in the additional capacity of a 
vocalist musician before each session.

As a delegate you receive a certificate and a delegate badge along with the usual conference food. 


best, 

rb 
 
2019 MBBS:

Mythili 

Anahita Behera 

Rishitha 

Sanjana 

Riddhi Bhalla 


Kavyasree 


Also as a vocalist musician before each session. 


2018 MBBS:

Sravani 


Animisha Vittalapuram

Manisha Ranga 


Kshitij Sharma 


2017 MBBS:

Jahnavi 


Saket 


Kattekola Sathwik


Also as a vocalist musician before each session. 

Hyndavi Konakanchi


Muskaan Goyal

Saranya Mukharjee


2016 MBBS :

Varaprasad

Simran Dash 

Muskaan Meghwani 

Srivalli 

Rishik 

Sahithya 

Sai Bhavana 

Nikita P

Pavan Bhasin 

Sakshi 

Shivani 

Madhumita 

Chitra 

Divya Mahapatra 

Mahith 

Moulika 

Pavani 

Trishala 


2018 MD :

Aditya Samitinjay