With the becoming a small neighborhood there is no denying that mobile devices are increasingly becoming an indispensable part of people’s daily life. They allow easier performance to a variety of useful tasks especially with the help of AI or Artificial Intelligence.
AI is basically the ability for a computer or a machine to think and learn. It can perform human actions more efficiently, more quickly, and at a lower cost. And just like all industries, the healthcare industry could be headed toward yet another high-tech makeover as artificial intelligence (AI) improves.
Could AI applications become the new norm across virtually every sector of the healthcare industry? Many experts believe it will come sooner than you might expect.
How can healthcare benefit from AI?
From drug development to clinical research, AI has helped improve patient outcomes at reduced costs. Besides, the introduction of this technology in healthcare promises easy access, affordability, and effectiveness.
One of AI’s biggest benefits is that it allows patients to stay healthy to avoid visiting the doctor frequently. Help encourage a heathier lifestyle and manage a healthy routin thanks to several applications downloaded on your smartphones . Furthermore, AI applications can help medical professionals get a better understanding of their patients with the day-to-day patterns that can be observed through the applications. With that medical professionals can provide better feedback about staying healthy.
Early Detection & Treatments
AI is also used to detect diseases, such as cancer, more accurately when in early stage. The use of AI allows us to use mammograms (low dose x-rays of the breasts to detect abnormal changes) that are 30 times faster and 99% accurate, reducing the need of unnecessary biopsies (when a sample of tissue is taken from the body to examine it more closely).
AI can help clinicians take a more comprehensive approach towards disease management, better coordinate care plans and also help patients to follow through on their long-term treatment programs.
Indeed, AI could help address around 20% of unmet clinical demand eventually.
In fact, according to Forbes:
The total public and private sector investment in healthcare AI is stunning: All told, it is expected to reach $6.6 billion by 2021, according to some estimates. Even more staggering, Accenture predicts that the top AI applications may result in annual savings of $150 billion by 2026.
AI technology is also gaining traction in the customer service domain. The world is likely to see healthcare bots very soon. Patients will be able to interact with these AI bots on the website through a chat window or via telephone. Schedule appointments with the patient’s healthcare provider with bots. These bots can help patients with their medication as well. They can also improve customer service by offering 24 x 7 support.
Big Data Analytics
The rise of AI is all dependent on the analysis of the right amount of Data. For the AI solution to be successful, it requires a vast amount of patient data to train and optimize the performance of the algorithms. While it may be perfectly harmless to have an AI algorithm make recommendations for what to watch next on Netflix, trusting technology to provide accurate health recommendations has far greater implications.
With tools such as M-Analytics we are able to filter the right data for an ultimate performance of AI. In fact, one of the biggest secrets to the success of AI lies within a successful Data Analytics platform. It needs to be filled accurately by healthcare professionals in order to build a trustworthy database of their current patients. Making AI adoption everybody’s business by seeking the input of all departments across functions in the healthcare system. In addition to defining a digital strategy upfront which ensures your AI transformation that will rise above the competition.
With a number of issues to overcome, driven by well-documented factors like an aging population and growing rates of chronic disease, the need for new innovative solutions in healthcare is clear.
AI-powered solutions have made small steps towards addressing key issues, but still have yet to achieve a meaningful overall impact on the global industry. As innovation pushes the boundaries of healthcare, better solutions to save money, time, and efficiency will be possible.