Our healthcare fraternity was among the most affected industries when the pandemic came unannounced, but the happy news is that clinicians, medical providers, and hospital administrators were quick to adapt to AI-enabled techniques like natural language processing and machine learning technology to overcome manual challenges and strengthen the healthcare sector and become more efficient and affordable. In the last couple of years, the healthcare industry predicted several things – from emergencies and effective treatments to handling staffing and planning rosters, AI and its army of tools have made the life of medical professionals and patients quite simple. Besides predictive analytics, healthcare also benefited from blockchain technology which upholds patient information and protects health data to ensure the patient is receiving the best of both worlds. The healthcare industry is at the cusp of some sophisticated technological changes and AI and ML are only helping to refurbish the existing systems and improve efficiency by automating processes and helping augment the work of the clinical staff and nurses. For instance, several manual, tedious and repetitive tasks can be automated, so the scope of manual errors can be eliminated.

As technology evolves, especially in the field of Artificial Intelligence, its dominance is pervading in every industry rapidly like never before and is becoming increasingly popular and valuable daily. With the use of AI, numerous autonomous applications are created to make human life and task easy. In addition, researchers are working tirelessly around the clock to make this technology more potent in the Medical Industry to provide better medical treatments, accurate diagnoses, elevate service deliveries, and more. Machine learning models are used to implement AI in the medical sector, enabling the search of healthcare data for better patient experiences and improved health results. A massive amount of machine-learning datasets and several algorithms with extraordinary decision-making capabilities are used by artificial intelligence to provide hands-on solutions based on the user requirements in every sector.

As employees return to work after the COVID-19 crisis has subsided, insurers and employers will likely experience a surge in claims related to the virus. Analysts expect coverages for workers compensation, employer liability, and business interruption to be especially hard hit.[i] The California Workers Compensation Insurance Rating Bureau estimates annual losses in its state will be $1.2 billion.[ii] Extrapolating nationally, losses would be approximately $5 billion. Most states have enacted legislation or executive orders to designate critical occupations in the wake of the virus.

What is the future of artificial intelligence (AI) in healthcare? It's a big question that almost every medical professional has had cause to ask recently, and the answer is even bigger. In fact, at this moment, the answer is something along the lines of, "We don't exactly know yet, but it's going to be monumental." There are, of course, current applications for AI being used and developed today that we can look at to inform our prediction of how AI will be used in healthcare in the future, and that's exactly what we're going to cover here. By the end of this article, we will have an answer to our question.

Blockchain technology and artificial intelligence, two cutting-edge technologies, have the potential to change the face of healthcare as we know it by improving the quality and reducing costs through improved efficiencies. Most of us are at least somewhat familiar with artificial intelligence primarily through virtual assistants such as Siri and Alexa. Artificial intelligence automates repetitive learning and discovery through data after initially being set up by a human being. As many people also know, you have to be fairly specific when asking Siri and Alexa any questions -- the question must be posed in the right way -- to get the answer you are looking for. As an example, our interactions with Alexa, Siri, Google Search and Google Photos are based on deep learning.

Bots are breaking into the most human industry on earth: health care. Just look at Microsoft -- the company recently launched a new division to address the intersection between health care and AI. That's not to say AI will be replacing doctors anytime soon. But the integration of AI into regular health care tasks is upon us. From surgical assistance to patient education to imaging analysis, robots are already part of the process -- and their roles will only increase over time. Of course, not everything is smooth sailing -- AI faces challenges in health care just as it does in other fields.

Bots are breaking into the most human industry on earth: health care. Just look at Microsoft -- the company recently launched a new division to address the intersection between health care and AI. That's not to say AI will be replacing doctors anytime soon. But the integration of AI into regular health care tasks is upon us. From surgical assistance to patient education to imaging analysis, robots are already part of the process -- and their roles will only increase over time. Of course, not everything is smooth sailing -- AI faces challenges in health care just as it does in other fields.

"Everyone is trying to see if they can catch the fraud before the check goes out the door," says Andrea Allmon, director of health care operations at Fair Isaac, a firm known for its credit card scoring model that also sells health fraud detection computer systems. That's because companies can save far more money by stopping claims before they are paid than trying to get fraudsters to pay back money. Insurer Aetna says its new computer software helped it stop $89 million in payments before they reached medical providers last year. That compares with the $15 million in fraud repayments it was able to collect after the fact. But many states require medical claims to be paid promptly, which means insurers must be able to review claims, spot problems and do investigations very quickly.