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AI and machine applications for healthcare

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How can AI and machine learning be applied to healthcare? How these can be applied and which is their future in this area?

Healthcare Information Technology
Artificial Intelligence
Machine Learning
Paolo Beffagnotti
1 month ago

7 answers

1

Paolo Beffagnotti , this is a fascinating topic and I am investigating a little bit at the moment. Of course the big advantage of AI is to collect Big Data and convert this into Smart Data to be able to predict different scenarios. Healthcare practitioners and insurance companies collect information from the various regular and one-time studies. AI enables to create a virtual model of the patient, a "Digital Twin". To make this more precise, wearables can deliver a flow of additional information,

The healthcare industry an use this to predict potential diseases, but also to identify potentials opportunities. No need to say that this may also develop a sinister side, as for example insurance companies may decide that based on the virtual model, "investing" into the patient does not make sense. If such information gets shared with the patient's employer, this may have additional consequences for the career.

Patrick Henz
1 month ago
digital twins in healthcare could be really helpful. These can help to predict issues, when to schedule maintenance, create different models to study and accelerate innovation through virtual simulations. Basically, we could have the virtual versions of patients, no matter where they are located and this is a huge advantage. Just think about patients living in remote locations. - Paolo 1 month ago
Correct, we will have the "transparent patient", his for the good or bad. - Patrick 1 month ago
and such patient will be a good study case - Paolo 1 month ago
yes, if the insurance companies does not decide to stop working with the patient, - Patrick 1 month ago
we hope they won't stop... - Paolo 1 month ago
right! - Patrick 1 month ago
So - who owns all this healthcare data? - David E. Marcinko 1 month ago
This is the big discussion that we require the society to start: The insurance company, the hospital, the doctor or even the patient? - Patrick 1 month ago
I would say both the hospital and patients but this is part of a bigger discussion. - Paolo 1 month ago
Patrick Henz It is true that AI with virtual stimulations will significantly expand the coverage of health care but also save time and financially save a huge sum of money allocated for public health care system in the long run but also improve distance medicine diagnosis where the doctor is able to view the patient as a whole rather than just picture video images. - Lawrence 22 days ago
Lawrence Chun Wei Loy , humans and machines are both complicated holistic structures, AI and Digital Twins can work in a similar way.. - Patrick 22 days ago
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AI and machine learning could helps in urgent and primary care where they could be "taught" to diagnose diseases thereby reducing doctor to patient loads and also speed to attain health care support. Furthermore AI and machine learning could reduce the risk of wrong or mis-diagnosis by doctor as AI could provide a list of possible diagnosis for the doctor to consult as a 2nd opinion. Furthermore AI and machine learning could also helps in breaking the language barrier between health care provider and the patient where language may no be a significant barrier in doctor to patient communication.

Lawrence Loy
22 days ago
I agree with your points. However how comfortable are we now with the diagnosis performed through AI? I mean in particular for important cases. - Paolo 22 days ago
Great question Paolo, well in my opinion may be for primary care it would be ok, but i don't think we would be comfortable using it in the ER or urgent care. However, it could use as a screening tool inorder to help the health care provider to triage/ screen the patient according to the level of urgency to be seen by a doctor so to prioritize vital emergency/urgent cases to save life. - Lawrence 22 days ago
In future, we all will have our personal AI,, which supports us in decision making. Such AI is connected to global data bases, but also learns from us. This software will give suggestions, but the decision will still made by the human. - Patrick 22 days ago
For basic therapy I would be already ok with AI, as well as diagnosis but I would prefer to have a human diagnosis at the end - Paolo 22 days ago
I guess this will valid for all services, first level: AI, second level: human+AI. Of course this will become also a question of the budget, as richer patients will directly receive access to Human+AI. - Patrick 22 days ago
1

A. I.  and Digital Health

New AI and digital models change the way the insurers interact with patients.

For example, digital insurers have reworked the trust equation with the patient, outsourced much of their value chain to their members, and now know much more about them. Digital business models tend to also blur the lines between payer and care giver organizations.

Some of the first-movers already crossed the line and started to offer services which have previously been provided exclusively by doctors and nurses. The ten digital business models are defined as follows:

  1. Digitally assisted member acquisition is a freemium business model concept.
  2. Mobile health concierge is a business approach designed for members to complete all health insurance tasks using mobile phones with the support from a concierge team.
  3. Peer-to-peer (P2P) insurance refers to a risk-sharing community.
  4. Mobile micro-insurance refers to the health insurance plans that cover short-term small health events or minimal ongoing health insurance.
  5. Health insurers tech platforms license their technology for the management of health plans and members to their customers.
  6. On-demand insurance is a usage-based model that enables members to access desired health plans upon request with the help of a mobile app.
  7. High-risk patient preventive care model concentrates on insuring and managing potentially costly patient groups.
  8. The payer & provider collaboration model stands for a closer, digitally enabled partnership between payers and care providers, especially hospitals.
  9. The API health insurance model uses a list of pre-defined health insurance products accessible to websites and app providers via an application programming interface (API).
  10. Direct primary care model. Within this model, a care provider or a hospital act like a health insurance company using a monthly subscription model.

David E. Marcinko MBBS-MD DPM MBA MEd CMP®
16 days ago
High-risk patient preventive care model is fundamental to support vulnerable individuals and improve access to healthcare. The goal is to limit disparities and take care of people most at risk - Paolo 16 days ago
CMS is debating a SDOH payment component. - David E. Marcinko 16 days ago
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REDUCE "MORAL  HAZARDS"

But, patients must be responsible and avoid moral hazards, too!

David E. Marcinko MBBS-MD DPM MBA MEd CMP®
16 days ago
Right but it is part of the medical team job to avoid this and clarify the situation - Paolo 16 days ago
1

NOPE

Reducing moral hazard is under the patient's control; not doctor.

IE; Don't smoke. Don't drink, etc!

David E. Marcinko MBBS-MD DPM MBA MEd CMP®
16 days ago
Right, I was thing more about the medical treatments to choose. - Paolo 16 days ago
MORAL HAZARD: In economics, moral hazard occurs when one person takes more risks because someone else bears the cost of those risks. A moral hazard may occur where the actions of one party may change to the detriment of another after a financial transaction has taken place. - David E. Marcinko 16 days ago
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SDOH

So, are doctor's responsible for all of societies ills? NOPE!

David E. Marcinko MBBS-MD DPM MBA MEd CMP®
16 days ago
Not at all, we are responsible for most of these. - Paolo 16 days ago
Agree; but of course to the extent they are controllable. Many thanks. - David E. Marcinko 16 days ago
0

A.I. Everywhere AND Still Wrong!

YEP; the algorithms of this very site flagged me for plagiarism - of my own copyrighted words.

Still not ready for prime time.

UG!

David E. Marcinko MBBS-MD DPM MBA MEd CMP®
6 days ago

Have some input?