On 23
Sept 2018 , on the future benefits of Ayushman Bharat scheme , I wrote :
What is in it for Ayushman Bharat ?
Consider this :
· Doctor takes the
readings of the patient using these internet connected devices
· Devices transmit
these data to the smart phones of both , the doctor and the patient
· These phones
transmit these data to the Central Health Care Server of Ayushman Bharat
and update the LIFE TIME MEDICAL HISTORY of that person
· This history can be
accessed only by the “ Authorised “ health centres / hospitals /
nursing homes , which are official partners of
the Ayushman Bharat scheme
Imagine all the Medical Devices ( including ECG / EEG / PET Scan
, located in private clinics / health centers / hospitals / nursing
homes / Path labs / Diagnostic centers etc ), transmitting to a
Central Server ,
· medical diagnosis
· treatment
· administered drugs
· surgical
procedures ,
for all 50 crore citizens covered by this scheme
And imagine such petabytes of health data being subjected to BIG
DATA analysis using AI !
Ayushman Bharat has the potential to usher this Health-care
Revolution
When that happens , expect the AI to do the following :
· guide your family
doctor to prescribe the best-suited medicine for each member of your
family
· recommend some “
preventive “ medicines before a disease manifests itself !
===============================
As soon as these instruments get embedded with Internet of Things ( IoT ), a central server could collect all of these " measurements / readings " on 24*7 basis , for all 7 million persons
Then it will combine these readings with following data about each of those 7 million persons :
* Country / Region / City / Language
* Race / Religion / Gender / Age
* Height / Weight / Colour / Biometrics
* Blood Group / DNA / Past Medical History.....etc
It will also record , who died / when !
Using such massive data base, can BIG DATA / Artificial Intelligence / Machine Learning , figure out what " Customized healthcare / Medical treatment / Supplementary diet " should be " prescribed " for each human on this earth ?
===============================
V 3.0 ? [ 20 Jan 2018 ]
There are 7,000 million people on the earth
It is possible that , at any given time , some 7 million of these are lying in ICU , connected with :
* Electroencephalogram ( Brain Monitor )
* Electrocardiogram ( Heart Monitor )
* Pulse Rate Meter
* Oxygen Level Meter
* Glucose Level Meter........etc
There are 7,000 million people on the earth
It is possible that , at any given time , some 7 million of these are lying in ICU , connected with :
* Electroencephalogram ( Brain Monitor )
* Electrocardiogram ( Heart Monitor )
* Pulse Rate Meter
* Oxygen Level Meter
* Glucose Level Meter........etc
As soon as these instruments get embedded with Internet of Things ( IoT ), a central server could collect all of these " measurements / readings " on 24*7 basis , for all 7 million persons
Then it will combine these readings with following data about each of those 7 million persons :
* Country / Region / City / Language
* Race / Religion / Gender / Age
* Height / Weight / Colour / Biometrics
* Blood Group / DNA / Past Medical History.....etc
It will also record , who died / when !
Using such massive data base, can BIG DATA / Artificial Intelligence / Machine Learning , figure out what " Customized healthcare / Medical treatment / Supplementary diet " should be " prescribed " for each human on this earth ?
================================================================
Then , today ( 15 Nov 2018 ) , I came across the following
article :
Google is diving deeper into the healthcare
sector.
Extract :
Streams is a mobile
healthcare app developed by DeepMind Health, a subsidiary of AI research company DeepMind, which, like
Google, is a subsidiary of Alphabet
The app does this by consolidating all of a patient’s medical
data.
Everyone treating the
patient can enter information into their file directly from the app, and the
app can then send alerts to healthcare workers as soon as signs of a
potentially life-threatening problem arise.
With Google’s full support,
though, the app could very well become the go-to medical tool of healthcare professional across the globe.
================================
15 Nov 2018
www.hemenparekh.in
/ blogs
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