Ongoing projects in medicine other than the departmental post graduate thesis are all centred around "medical cognition" and optimizing clinical complexity using medical cognition tools.
Other than routine medical cognition tools of system 1 eyeballing pattern recognition, we use routine tools of system 2 asynchronous intelligence aka primordial AI aka academic learning to solve real patient problems.
Developing the Medical metacognition problem statement at the beginning of the introduction to all our ongoing projects is because, it's at the core of all our projects using both system 1 and 2 cognitive processing:
System 2 thinking began as an asynchronous academic tool to make communication and thinking slower to suit our individual workflows.
However this essence of academics also makes our three dimensional existential reality two dimensional as that helps to somehow better analyze our three dimensional existence manifest in daily random events and even manipulate the randomness toward apparently improved outcome events.
Of all the routine system 2 tools, we have been largely enamoured by a few that we have written about in the past and continue to use them daily in our community patient follow up and family adoption through online PaJR groups which are the online components of our case based blended learning ecosystem CBBLE and the two have evolved from what has been often described in the past as "user driven healthcare" which has it's own big fat text book here : https://www.amazon.in/User-
as well as had a journal with the same name since 2011 here: https://www.igi-global.
More about our tryst with "using medical cognition tools to optimize clinical complexity" in this 2023 guest lecture at AIIMS, Bhopal archived here: https://
Ethical clearance obtained for this major project stem here : http://medicinedepartment.
Clinical professional development CPD organized on the theme of optimizing clinical complexity is
archived here: medicinedepartment.
Completed and published medical cognition projects :
Clinical complexity and PaJR tools 2023: https://pubmed.ncbi.nlm.nih.
CBBLE 2018: https://pubmed.ncbi.nlm.
Five ongoing old projects on the above theme :
1) Creating dynamic user driven ontologies : http://userdrivenhealthcare.
2) Medical cognition tool CBBLE : http://userdrivenhealthcare.
3) System 1 eyeballing and pattern recognition : http://userdrivenhealthcare.
4) PaJR : http://userdrivenhealthcare.
5) Collective, user driven conversational contextual peer review of real time open access research submissions and creation of dynamic user driven learning community ontologies UDLCO
Partly completed : https://www.ncbi.nlm.nih.
Full text link: https://www.mjdrdypv.org/
Current journal UDLCO :
Dr Tella Shruthi :
Ongoing projects previously shared in 2021 in the dsir template on request :
We can broadly divide our "medical cognition" into the right and left path.
The right path projects are reasonably understandable from a modern perspective, while the left path projects are slightly post modern and may not be included in the offical departmental lists although they will still be linked appropriately in case someone visiting this site is curious.
New projects using medical cognition tools :
1) Ongoing project : Sleep cycle longitudinal follow up study using frugal user driven sleep labs to determine the impact of sleep patterns on development of NCDs. Elective student collaborator, Avinash Gupta from Bhairahva, Nepal and intern Dr Parvez Ansari from KIMS Narketpally, Prof Monika Pathania, AIIMS, Rishikesh
Plant model collaborator TIFR CUBE lab Dr MC Arunan https://www.hbcse.tifr.
Animal model TIFR CUBE lab collaborator Dr MC Arunan https://www.hbcse.tifr.
Dr Dinesh Datta, KMC, Warangal
Pilot sleep studies done in our wards as part of the routine workflow:
A unique sleep pattern from personal tracker data and n of 1 intervention https://classworkdecjan.
PaJR patient 50M: Sleep tracker data https://drive.google.com/
Previous log of our ongoing sleep project in dsir template as requested from principal's office: http://
2) Ongoing project : Gait analysis: normal and abnormal patterns in relation to illness outcomes PG student collaborator Dr Himaja, Intern Dr Kshitij from KIMS Narketpally.
From University of Hyderabad, collaborator, Prof Nagendra and Dr Irfan
Past work on this project by UoH :
Past meeting with UoH: https://youtu.be/JhzCTUHJ-H8?
Recent data capture from our ward :
3) Life style medicine project: Effect of daily energy intake monitoring in the form of food plate images and energy output in the form of hourly activities in improving outcomes through regular PaJR continuity
External collaborators from Pune studying AI tools in food plate optimization toward better outcomes and Prof Pathania with her life style pdcc student: https://
Resources from and for our PaJR patients : http://medicinedepartment.
4) Utilizing LLM tools to assess interns clinical competence depicted in their online learning portfolios. External collaborator Mr Rahul Kulkarni from Pune. https://www.linkedin.
Internship assessment done by LLM showcased here as a single sample : http://medicinedepartment.
5) Creating sample question paper through clinical vignettes taken from online learning portfolio case reports and reshaped into questions (MCQs, Long essay, short essay) using a large language model and human professor supervised learning
Project collaborators: Dr Tella Shruti, Dr Dinesh Datta, Mr Rahul Kulkarni
Sample: http://
6) Creating persistent clinical encounters through first contact physician user driven EMRs followed by patient user driven PHRs (patient journey records PaJRs) collectively archived in dynamic case reports (EHRs):
Collaborators: Dr Manogyna intern and UGs from 3rd, 5th and 9th semester
7) Early clinical exposure to patient vulnerability in social media and need to champion their privacy confidentiality through meticulous removal of patient and institutional identifiers along with valid informed consent during the conversion of three dimensional system 1 patient data to 2 dimensional system 2 patient data archived and continually evolving in dynamic online learning portfolios.
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