Thursday, November 16, 2023

Glossary of User driven healthcare

Glossary of terms :

Medical cognition :

Other than routine medical cognition tools of  system 1 eyeballing pattern recognition, we use routine tools of system 2 asynchronous intelligence AI, 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-Driven-Healthcare-Narrative-Medicine-Collaborative/dp/1609600975
as well as had a journal with the same name since 2011 here: https://www.igi-global.com/journal/international-journal-user-driven-healthcare/41022

Medical cognition can be formally defined as a "broad area consisting of various system 1 and system 2 human cognitive tools to resolve clinical complexity (diagnostic and therapeutic uncertainty). These tools are often used through various medical cognitive platforms such as synchronous face to face interactions (often system 1) and asynchronous communication and learning between multiple stakeholders in connected web space (user driven healthcare UDHC, patient journey records PaJR) and blended to form "case based blended learning ecosystems CBBLE (often a blend of system 1 and 2). 



User driven healthcare UDHC : Subset of "Medical Cognition' globally where multiple users, all healthcare stakeholders including patients, interact online to understand and take decisions on meeting patient requirements. 






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


CBBLE (pronounced cable) : Case based blended learning ecosystem that is available locally in many institutions and some are connected globally to each other. CBBLE is different from UDHC in that it is not purely online but blended offline and online. 


PaJR : The key concept lies in the use of regular patient reported outcomes to locate the phase of illness in a 

patient journey. 


Ontology : "theory of objects and their ties. It provides criteria for distinguishing different types of objects (concrete and abstract, existent and nonexistent, real and ideal, independent and dependent) and their ties (relations, dependencies and predication)."


Every medical student may remember how important it was to know the relations of every organ in their first introduction to medicine through human anatomy. 




UDLCO :

User driven learning community ontologies



3) UDL :

User driven learning 



4) Patient centered UDLCO (particular patient knowledge aka age old precision medicine ) :


Sample :

Here's an example of a pico rubric in the UDLCO conversational learning format that sets the context. 

Once you scroll down by 60% of the page you begin to see the pico and further dissection of the clinical significance around the efficacy of the drug under discussion 👇


Context with PICO not yet consolidated: 





5) General medical knowledge centered UDLCO sample : 


Contribution of  Anatomy dissection and autopsies to growth of Medical knowledge and Organ transplantation--



Benhur effect and the horcrux EHR:




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