Artificial Intelligence (AI) in the healthcare industry comprises multiple technologies that have enables machines to comprehend, sense, learn and act. These together have taken over several key administrative and clinical roles. Unlike the legacy technologies like yesteryear’s, modern AI has been able to truly augment the human activity. In the medical industry, growth has been hard to achieve but with AI, the processes have begun to be self-running. An Accenture report speaks of AI applications generating as much as $150 billion in savings annually for the US healthcare industry by the year 2026.
The AI healthcare market was valued at $1,414 million in the year 2016 and by 2023; it will become a massive $22,790 million industry.
The success of AI in healthcare lies in the very basics. AI, as a technology, involves intelligent computer engineering that is self-learning. What’s more important that AI is based on human intelligence and the wide swath of data available today, across the globe. AI systems in healthcare are being used in various disciplines including biology, linguistics, mathematics, engineering, psychology, and computer science to build technologies that are intelligent. Consequently, they have become a revolution when it comes down to medication management, drug discovery, treatment plans and even administrative activities.
Artificial Intelligence in Healthcare: How far has it come?
Many scientists and thought leaders are terming the AI technology as the bringer of the 4 the Industrial Revolution. Modern technologies have been able to fuse digital, biological and the physical world while impacting all economies, and even becoming a more favorable alternative to manual processes.
The best example of AI making an impact on the healthcare industry is smart diagnostic. While the amount of medical records stored online is growing at a huge pace, AI feeds from these records to come up with the best treatment plans. According to a 2014 report, the medical record database worldwide comprised 4.4 zettabytes of information and by 2020; it will increase to 44 trillion gigabytes! This only means that medical diagnosis would become faster and more precise. Another popular use of AI as a medical tool has been smart wear technologies that give feedback about heart rate, pulse, blood pressure and the like. These are making self-treatment easy for the end users but behind it are the same AI technologies.
6 common ways AI is Changing Healthcare
1. Managing Medical Records and other Data: Online prescriptions and diagnostics don’t’ just make treatment plans easier but they also help in future diagnostics. With the sample size growing every hour, we can certainly expect medical treatments to improve in the coming future. Also, the paperless database makes it easier for anyone with the authority to access the information and put it to good use, be it to directly benefit the patient or come up with new drugs.
2. Doing Repetitive Jobs: With manual medical records, a huge amount of time was wasted in collecting repetitive information. With AI technology, everything is right in front of you, be it someone’s medical history or treatment plan. This makes the industry much more efficient, benefiting both the patient and the administration.
3. Treatment Design: Access to similar medical records gives doctors a lot of insight into the best treatment plans for a patient. These do come with the success rates and complete treatment information. Overall, treatment designs become more accurate and save lives.
4. Virtual Nurses: A lot of nursing task can be taken over by an AI system in place. This ranges from reminding patients of the dosage time or appointment schedules to making records of vital medical records during the recovery process.
5. Medication Management: As already discussed, a software system in place can remind a patient of taking their medicines on time or notify them of coming appointments/visits. This makes the task easier and more importantly, verifiable.
6. Precision Medicine: With a huge repository of diagnostic information online, coming up with the best treatment plan for a certain medical condition isn’t time taking. The analysis of several records uploaded also allows for a more successful diagnostics and prescription.
Self-Taught AI – How it beats Human Doctors?
Doctors learn to understand a human body and the complexity of diseases. Even so, they can likely be wrong in many cases. AI on the other hand takes help of facts and past records to come up with a diagnostic/prediction. We have already developed systems that are capable of understanding medical records and matching them with a certain condition in real time. With a significantly higher precision of prediction rates, AI can hope to save millions of more lives every year.
AI Powered Healthcare – The Future
We are already taking of surgeries that can be taken care of by robots. Precision treatment is the goal and nothing beats algorithms that are seal-learning. From verifying medical insurance at the click of a button to robots and virtual assistants assisting both patients and clinicians, the role of AI will be multi-faced in the future healthcare industry.
AI’s success will amount to huge medical discoveries in the future and these medical breakthroughs will go on to make billions of lives every year. Apart from this, AI can be a huge transformation for all medical setups, increasing their profits while improving treatments. Overall, it’s a very optimistic future ahead!