Using an AI to assign qualitative and quantitative values to a patient's health and offer assistance to the most critical first.
Image credit: Photo by LinkedIn Sales Navigator: https://www.pexels.com/photo/two-men-standing-inside-a-room-2182976/
Please leave the feedback on this idea
Is it original or innovative?
Is it feasible?
Is it targeting an unsolved problem?
Is it concisely described?
Bounty for the best solution
Provide a bounty for the best solution
Bounties attract serious brainpower to the challenge.
- Doctors are only human, Misdiagnosis happens all the time. The US alone has an estimated 12 million misdiagnoses per year . Anything that can be done to lower that number should be done.
- This system allows both private and public facilities to pool their data for the well being of their patients.
- There are too many online services that offer medical consultations. I hypothesise that they would have a higher probability of misdiagnosis due to a lack of information on what is going on around individual patients. Hospitals can work around this because most patients come from the same area and by talking to alot of them they can recreate the full picture relatively quicker.
- With the emergence of global pandemics, big data might offer us a shot at fighting back and protect the ones the most at risk. Being able to schedule and reschedule health drives to combat the virality of disease might reduce the total loss of life.
- Could help identify genetic based ailments and direct younger members to make life choices that reduce the likelyhood of the condition manifesting.
- The global reach means nations can't underplay diseases and everyone is well informed on how at risk they are of being affected.
- Could allow labs to run as hospitals to offset thier expenses without having to need as much invest in relevant facilities by only dealing with cases they are equiped to handle.
- If multiple nations would be willing to place all their databases and practices available for annonymous cross-reference by an AI with the explicit intention of making healthcare available, It could make getting specialized procedures abroad so much easier and so much cheaper.
- Could allow clinics and small practices to relieve strain from major practices if they have the relevant facilities to do so.
Cold storage of private data and cloud-based computation
- User imports data (full control of the analyzed data; could choose to analyze only a dentist history, for example)
- Software analyses data locally and translates it into AI-calculated coefficients that define the patient's state, change during time, and described the drug-symptoms relations (units of data). These locally calculated coefficients (units) are sent to the cloud where they get compared to the other units, analyzed and conclusions are drawn. Feedback data is sent back to the local computer and suggestions are given to the patient. --> no privacy issues since data never leave local storage
- The coefficients (or units) could be protected with end-to-end encryption to double-up the protection.
- The algorithm should suggest the patients to upload more data if it's not sure or some data is missing (based on the other people's data or "minimal data for conclusion" guidelines).
- The software suggestions should be available to the doctor, which would approve the treatment when real documentation is presented.
- If the user wants, it could choose to sell some of its data to pharmaceutical companies. If not, the data would forever stay locally stored.