Lecture notes for November 28, shared publicly here in advance as part of a flipped classroom approach as, instead of reading out the below slides together with the offline audience there, we hope to have more questions and discussion in that one hour with them as well as spend more time in a live demonstration of how to capture tech end user, real patient data (after already having obtained patient consent and also discuss the process of obtaining ethical consent) and how to archive it for retrieval and reasoning toward optimal data driven healthcare.
What literally is technology?
Etymology
The word techne comes from the Greek word for art, skill, craft, and technique. The modern-day English word technology comes from the prefix techne and the suffix ology; both words are of Greek origin combined to mean "the practical application of knowledge".
Image with CC licence:https://commons.m.wikimedia.org/wiki/File:Greek_physician_and_patient,_plaster_cast_in_W.H.M.M._Wellcome_M0001578.jpg#mw-jump-to-license
Slide 2:
Who are end users of technology?
Artists? Genius? Ordinary Human?
The images show how any tech end user trying to drive a positive illness outcome through the healthcare system is akin to putting together a model art with different stages of uncertainty and finally some diagnostic confirmation! More here: https://youtu.be/
Slide 3: What literally is science?
May have originated from Proto-Indo-European language as *skh1-ie, *skh1-io
Image with CC licence: https://commons.m.
And the image of the sickle and science is contained in an important writing tool for science! The question mark is a very important instrument of scientific scepticism:
Creative commons license: https://en.m.
Slide 4:
Science tries to know from events data and subsequent analysis
Technology otoh is artistic utilisation of knowledge to create a product?
Image with CC licence: https://en.m.
Slide 5: Asynchronous communication of knowledge: asynchronous intelligence aka primordial AI and subsequently academic intelligence AI and finally currently artificial intelligence AI
More here: https://
Image CC licence: https://commons.m.
Slide 6:
Role of Hyperlocality in designing care for the Tech end user
Introduction: https://
Global learning toward hyperlocal caring:
https://userdrivenhealthcare.
Creating persistent clinical encounters to extend the scope of health care beyond its conventional boundaries utilizing social networking technology
Slide 7
Evolution of above workflow prototype in different institutions
https://medicinedepartment.
Current workflow:
All technology end users:
https://userdrivenhealthcare.
https://userdrivenhealthcare.
https://userdrivenhealthcare.
Health professional technology end users:
https://userdrivenhealthcare.
https://userdrivenhealthcare.
https://durgakrishna09.
http://medicinedepartment.
https://medicinedepartment.
Reflective notes: https://
https://userdrivenhealthcare.
https://kandrucherishrollno68.
Slide 8: Demo
Our main focus during the one hour session shall be to provide a physical offline demo in the venue as we plan to bring one of our 80 year old patient right there on that day with his and his spouse's signed informed consent.
Demo through real patient case reports made by patient advocate volunteers:
https://pajrcasereporter.
https://24fpatient.blogspot.
https://narmeenshah.blogspot.
https://2patienthealthreport.
Demo by few health profession students present in the venue sharing their experiences from their online learning portfolios below:
https://96sanjanapalakodeti.
https://shivanikommera.
https://sreetejapalakonda29.
More tech end users online learning portfolios:
Informal healthcare learning and awareness volunteers (engineering , humanities, medicine) at our elective student learning hall of fame here: https://
Formal health professional students: 5000 cases in 1000 tech end user online learning portfolios:
https://medicinedepartment.
Last slide:
Creative commons license: https://commons.m.
SO WHAT??
S
W
eaknesses
O
pportunities
T
hreats
Patient Stakeholder trade offs
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