Right now the future of the medical industry is unclear, however, it’s easy to determine the likely route it will take in the coming years. While medical schools are pushing record numbers of students out and into the world, insecurities about their employment status over the next decade are a resounding concern.
Most, if not all governments, understand that health care costs need to go down in order to treat more people and spread treatment to areas that lack the necessary resources.
Robots currently are becoming increasingly useful in surgery and pathology. While this hasn’t necessarily pushed costs down yet, the technology behind it is maturing at an exponential rate diminishing the need for human involvement.
Just think, you can have a robot available 24 hours a day to perform surgery, probably faster than a human can, and isn’t susceptible to exhaustion, lack of focus, or mistakes. It also doesn’t need to receive payment or malpractice insurance, it simply does the job.
Where this technology is becoming increasingly vital is the area of diagnosis. Doctors today use pattern recognition along with an array of tests to determine a diagnosis. With programs that we use in our pockets, the skill of pattern recognition and probability is already exponentially done better by machines than humans.
This is already in practice.
A good example of this technology beginning to permeate is Thyrocare Technologies Ltd. in Mumbai, India where they can perform 100,000 diagnostic test everyday and most reports are delivered within 24 hours of the blood being taken from the patient.
This is much faster than most hematology labs and will soon be the future of diagnosis.
Imagine the implications for tissue samples, biopsies, and lumbar fluid diagnostics. Once a machine and computer can enter the mix, their rate of return will leave humans in the dust.
With the increasingly high quality camera’s we carry around our pockets, computers and software are now being written to diagnose skin issues through pictures. If a computer can quickly analyze a picture of skin and give you an instant response, it could save millions of lives quickly. It would also save the patients money.