The Future Of Healthcare

** This is a sponsored post I will be compensated for. **

No matter where you stand on the healthcare debate, I am certain we can all agree that we need some sort of developments in the medical industry. I mean, this is 2018 and we recently found out that there is AI that can accurately predict your age and help you look younger, so it seems we are making some pretty huge steps in the right direction with the help of AI. We've already seen many advances in the medical field, on account of AI over the past few years. One of my favorites and one I haven't been able to take advantage of just yet is video conferencing with my family doctor and specialists. We do have a Patient Portal where I can email photos, videos, and messages regarding an illness or anything that doesn't require an emergency room visit and that has saved a ton of mileage and gas money so far! I also like emailing a bit better because when there isn't an emergency, my doctor can read and reply at his convenience. I know doctors and nurses are always super busy so, any help is much appreciated!  Which is why the advances we are seeing will end up helping not just their workload but the patient's quality of care.

Basically, what is happening is that doctors, nurses, surgeons, staff members are spending a ridiculous amount of time doing repetitive tasks. These tasks could be automated and physicians could have more quality time with their patients than ever before. Rather than digging through medical journals and trying to predict the outcome of a surgery or procedure on someone who could experience more complications than a healthier person, a hospital could have QuartzClinical do the legwork while the hospital staff focuses more on the patient. With QuartzClinical's help, our hospitals can spend more time with the patient and QuartzClinical's business intelligence, the patient can heal quicker and with less time spent in the hospital, less of a chance of complications and readmission and a lower bill. 

QuartzClinical's model is self-learning and already provides an overall accuracy rate of 81%. Hospitals can better plan surgeries and prescribe better medicine all by having their patient's personalized plan available by a prediction engine that can be applied at the individual patient level.