Elon Musk's innovations in Summative assessment:
Summary:
The conversation revolves around AI, healthcare, and innovation, with a focus on Elon Musk's ideas and their potential applications. The discussion touches on topics such as:
- AI in healthcare and medical education
- Data capture and processing in healthcare
- Clinical informatics and its importance in India
- Patient capital and its role in data-driven healthcare
- The potential for AI to structure unstructured data in healthcare
Key Words
- AI
- Healthcare
- Innovation
- Elon Musk
- Clinical informatics
- Patient capital
- Data capture
- Data processing
-CRH: https://medicinedepartment.blogspot.com/2024/10/critical-realist-pedagogy-and-theatre.html?m=1
Image copyright: probably Elon or whoever wants to claim it
Conversational Transcripts:
[16/01, 08:11] rb : Very soon he'll find a lot of AI agents sharing their code and it will be interesting when he invites them for a face to face interview
[16/01, 08:13] gm: Reality today is lots of dev automation ala code pilots etc. It is essential to know the new paradigm. It is not an either/or
[16/01, 08:16] rb: Yes as long as he's not the only human in the loop
[16/01, 08:17] So: The biggest factor is copying. I saw the same algo/project in at least 70% the resumes ...it is a publicly available algo :)
[16/01, 08:20] rb: To eliminate that possibility one needs a face to face interview to simply verify the claims made by the potential candidate. In education parlance aka summative assessment while the CV essentially reflects a formative assessment by the candidate themselves. Elon has cut short to the chase by eliminating the need for formative self assessment and straight away beginning the summative assessment albeit in an asynchronous manner, which is pretty neat
[10/02, 13:51]ak: Good afternoon all,
A doctor just asked me if I am aware of some best online courses (certificate programs) on AI for medical professionals (doctors).
Any inputs ?
[11/02, 07:24]st: Would rate iisc bangalore program as the best for doctors . Realised it after finishing course.
[11/02, 07:27]st: Learning python and advanced maths as a requirement here and their capstone project helps you make ai project with iisc faculty.
[11/02, 07:29]rb: Online or onsite?
[11/02, 07:31] st: Online but quite rigorous. 6 hours every Sunday for a year but you get amazing batch of smart people as cohort in your batch. Me and dr p were batch 7. Now it's 9th going and they keep adding new things in course. They have onsite visits and mentoring
[11/02, 07:35] st: https://otoscanai.com/ i was able to make this ai based classifier after the course. U have to put images of ear canal/ drum and it will give diagnosis . Useful for non wnt surgeon's and patients for home based diagnosis
[11/02, 07:37] st: Would be happy if any one tells me how to generate revenue from it 🤔. That iisc never teaches. Considerable server costs with😁 deployment
[11/02, 22:19] dt: First you have to make a business case for your product. See how it solves a pain point in the current scheme of things, probable market size, probable price points from economics / business point of view. Product manufacturing and marketing expenses. Study if any alternative products are already available in the market. If yes, then see how your product is superior / inferior to it. Visualise other potential obstacles in acceptance and commercialization of your product.
Based on the above, start working on how much funding you will need to manufacture the product. Licences required for the same etc
You will need a technical expert to figure out exactly the technical requirements for manufacturing the product
Have you patented your product as yet or not? What stage are you in your product development cycle which ranges from concepts to readiness for commercialisation roll out.
After this with a good financial advisor make a financial plan of the business atleast for 5 yrs.
Once your business plan is ready, find another good financial consultant who will search and find potential investors for early stage funding for an equity stake. ( You can also decide how much of your own money you are willing to committ for this. Financer call it your Skin in the game to evaluate how much you are committed or serious about your business idea)
After doing this much research, if you still have any questions then you can DM me
If possible, attend some boot camps held by venture capital firms or bodies
[12/02, 07:26] rb: First step:
If it's going to be DIYWAI ear canal diagnosis then you will need to ensure adequate means of data capture for the non ent surgeon user.
Also don't make this market limited to them. Reach out with your DIYWAI to the bottom of the pyramid (all users with a ear canal and drum problem)
[12/02, 07:55]rb: Second step:
Team up with a generalist healthcare professional who can integrate all other disciplines of healthcare to build their data capture portals (various other canals and drums in the body, you get the drift) to integrate with your ear portal to build the entire healthcare data capture portal for every human user to trade off their data for a solution to their pressing healthcare requirements.
Step 3:
Team up with every engineering and science professional globally to transform your healthcare portal into an everything portal (after all essentially healthcare is everything and even now engineers and scientists are it's real developers and doctors are glorified retailers) and finally submit to Elon for his "everything app" competition because by now he's realised that tamatar data will not take him anywhere except a chaotic hive mind and he needs not only users mental health requirements but also their connected bodily requirements to create his ultimate human requirements engineering app to fit into his current neuralink and mars jigsaw!
[12/02, 07:55] dt: Health / Clinical informatics is not used in HMIS/EHRs in India. The importance of the use of clinical informatics is not very well appreciated in India. Medical professionals who are getting interested/excited about AI in health must also start taking interest in clinical informatics as this will significantly improve outcomes of their AI applications
[12/02, 08:00]ss: Health Data Literacy and Digital Literacy both are essential core topics, which should not be ignored
[12/02, 08:12] rb: Yes core topics to life long learning in data driven healthcare!
Short term learning overestimates our desired outcomes while long term learning forces us to underestimate future returns/outcomes and one needs "true patient capital" at the right bottom end of the graph here (wrongly labeled philanthropy) to be able to achieve true data driven evidence based healthcare.
[12/02, 08:13]rb: Bottom-line:
Data capture is the more important and currently neglected step rather than AI driven data processing, which may have become easier minus the hallucinations
[12/02, 08:23] dt: Use of Clinical informatics provides structured data for AI processing hence quality of AI outputs is better.
In India, we record and store our clinical information in a semi structured & unstructured way
[12/02, 08:27] rb: We can also train AI to structure these gold mine of unstructured data using a gold amalgamation smelter model?
Thematic Analysis
The conversation can be categorized into several themes:
1. *AI in Healthcare*: The discussion highlights the potential of AI in healthcare, including its applications in medical education and data-driven decision-making.
2. *Data Capture and Processing*: The importance of data capture and processing in healthcare is emphasized, with a focus on the need for structured data and the potential for AI to structure unstructured data.
3. *Clinical Informatics*: The conversation stresses the importance of clinical informatics in India, highlighting its potential to improve healthcare outcomes and facilitate AI-driven decision-making.
4. *Innovation and Entrepreneurship*: The discussion touches on the potential for innovation and entrepreneurship in healthcare, including the role of patient capital in supporting data-driven healthcare initiatives.
5. *Elon Musk and Innovation*: Elon Musk's ideas and innovations are referenced throughout the conversation, highlighting his influence on the discussion around AI, healthcare, and innovation.
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