Automated processes
A study done by the American Hospital Association's Center for Health Innovation (AHA) revealed that AI can perform 40% of non-clinical tasks and 33% of clinical tasks. These tasks can be delegated to AI to allow clinicians to spend their time on the most important things. Unfortunately, this will result in the loss of jobs for some non-clinical staff.
Neue job roles
Machine learning and robotic process automaton have a profound impact on the job roles of hospital staff. There will be some job losses, but there will be an enormous demand for people with the right skills and competencies to manage the AI aspects of healthcare delivery. There will be new job opportunities for data scientists, data engineers and data architects. The health care workforce will be a brighter future.
Lower operation costs
According to Business Insider Intelligence's report, 30% of healthcare expenses are related to repetitive administrative tasks like patient scheduling, billing, insurance verification, billing, and maintaining records. These tasks can be delegated to AI or robotic process automation and will reduce human error and administrative staffing costs.
AI in Healthcare: The Challenges
There are many challenges to the future of healthcare using AI. As with all new technologies, there are concerns about its reliability and safety. These are the concerns that must be addressed in order to allow widespread adoption of AI within healthcare.
AI design quality
AI has the potential to make huge changes in healthcare. However, healthcare professionals have been reluctant to embrace the technology, likely because they are unsure of its effectiveness and quality. AI is still a new technology in medicine. There has yet to be any clinical evidence that proves its reliability and effectiveness. This is a problem that new technologies often face.
Security concerns regarding data
AI in healthcare requires high-quality data pools to work properly. However, this also brings up the issues of accessing that data. Digitalization of the entire healthcare system is necessary to overcome this problem. This will allow for faster generation and collection high-quality data. This raises concerns about the need to have robust data-sharing protocols between healthcare providers. At the same time, there should be systems in place to protect sensitive medical data from cybercriminals.
Invest in a skilled workforce
The emergence of new jobs is one of the most significant changes that artificial intelligence will bring to healthcare. Individuals with skills in medicine, informatics and data science will be needed. Medical organizations will need to invest in new talent and build a workforce that can effectively interact with AI and medicine in order to successfully adopt this technology in healthcare.
Respect regulations
It is still unclear what the implications of AI solutions on liability, risk management, and responsibility are. Clear regulations from health agencies regarding how technology should be used to protect patients are crucial for the successful adoption of AI. This will allow medical professionals to understand AI use cases and help them mitigate risks.
Artificial Intelligence in the Future
Artificial intelligence's ultimate goal is to create computers that have the same general intelligence as humans. These computers will be capable complex reasoning and thinking just like humans.
It's amazing to see how far technology has come from primitive machines like the abacus, and first programmable computer, ENIAC.
But, the most challenging undertaking by scientists is still building computers that can think and reason as well as humans.
Computers today are very specific about what they do. Computers that are the most intelligent in the world have what is called specific intelligence. For example, they are programmed to do specific tasks. These tasks are often the only ones they can complete as accurately as possible. So far, no one machine has the type of general intelligence--including abstract thinking, critical thinking, problem-solving, deductive reasoning, etc.--ascribed to humans.
However, the future of AI is orienting towards computers with general intelligence to manage all jobs as efficiently and it is feared that these machines will replace our jobs. This is unlikely because of major obstacles to achieving this goal. Even though AI may not be able to eliminate human labor completely in the near future, it will incite other inventions and drive growth across many sectors, which will ultimately lead to new job opportunities.
Currently, 90% of the top businesses have made investments in AI technology, and over half of these businesses report an increase in productivity since adopting AI. These businesses span many industries, including the medical, automotive, cybersecurity, manufacturing, and transportation sectors.
AI will be able to automate repetitive tasks in the medical field. It will support clinicians in diagnosing, formulating treatment plans, recognizing risk and streamlining operations. Healthcare AI's future is to help clinicians with specific tasks, allowing them to concentrate on the important things. AI will not take over the role of physicians in the near future.
Wrapping up
We are just beginning to see the potential of AI solutions being integrated with medicine. Although the impact of AI in global healthcare is expected to be enormous, there are still many obstacles to overcome. First, we must address the main obstacles that prevent AI from being widely adopted in healthcare. Only then will we see significant advances in AI for healthcare and exponential growth in AI adoption.
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