The widespread reach of Artificial Intelligence (AI) is undeniable. It is taking over the healthcare industry rapidly and efficiently. From automating the processes to providing cutting edge solutions to treating disease, the outcomes are uncountable. However, not to forget that many tech-savvies and known personalities have highlighted the threats of AI from time and again.
Calling it “dangerous than nukes” and “a fundamental risk to the existence of human civilization.”. So, what AI is going to do to the healthcare industry by the year 2022?
So, here in this blog, let’s find out why would the big names like Stephen Hawking and Elon Musk have referred Artificial Intelligence to be the biggest threat and what are the adverse effects it is going to bring out in the healthcare industry. Read on!
The Disruption AI Will Cause
Though it brought a paradigm shift within the healthcare industry, AI could be the catalyst to cause degradation among the most significant areas of the medical industry. Where it enables machines to feel and sense the problem it can also come up with false observation and biased decisions. The biggest drawback of AI is how fast its users begin to lay trust in technology.
This blind trust in the emerging technology transformation in Healthcare is the biggest concerning aspect that shows the possibility of the technology to cause troubles. Apart from this, the following mentioned list refers to the most important areas that are more likely to get disrupted in the near future.
Injuries And Error
One of the most important flaws in AI systems is the occurrence of error. As the technology works on the functionality and execution of algorithms that operate the bots, a slight error in the programming can cause major drawbacks.
It may refer to the wrong prescriptions, test results, and fail to observe the microscopic presence of germs in the human body. As the world is getting dependent on technology, it is possible that AI will have an increased influence in the healthcare sector by the year 2030. So, if the prescription and auto-screening started for the patients these errors will cause a lot of negative effects.
Medical Diagnosis
Artificial Intelligence can cause an ineffective integration of healthcare information system and inefficient collaboration that may result in poor or flawed observation and diagnoses. In the traditional healthcare system, the system is automated with the help of a professional but if AI bots started working on it there will be little practices carried out for proper screening.
Now only the bots will be responsible for the disruption they may cause. According to the Research and Markets Report, “IVD market expected to increase to $76 billion by 2023, increasing its influence over h4althcare spending globally.” it clearly shows the widespread use of AI technology in the sector.
Privacy Concerns
The risk of privacy is of major concern with the increasing integration of Artificial Intelligence. As per the system, the developers have to create a huge amount of patient’s data to incorporate into the AI-powered system. Moreover, when these systems begin to function they automatically performs patients screening and secure the data. However, many patients fear that privacy breaching cases may occur.
When a healthcare facility collects the patient’s data and hands over to the AI developers for creating proper programs, there is a chance of privacy invasion. So, in this way, AI may breach the privacy of patients.
Moreover, when AI bots have to handle the patient’s data the way the bots have observed the patients may be controversial. If the patient gets shaky while giving the biometrics or any other aspect of screening the bots will enter wrong details of his physical condition, which will not happen if a human is there.
Medical Billing
The AI medical billing system has turned out to a cause of major concern as achieving flawlessness and error-free billing practice has become the aim of many developers. In the US, AI billing systems are deployed in many hospitals where the entire organization is dependent upon the billing practices of the bots.
So, in such cases, if the bots are lacking the ability and perfection to carry out flawless billing the entire system will get flawed and there will so many issues arriving in the premises.
The developers and experts are still working in creating proper billing practice that can help the hospitals and organizations in running a smooth process. Plus, as AI has the ability to process the bills quickly it will become a source of major disturbance of the system gets disrupted with errors.
Pharma
AI is playing a crucial role in creating new formulae for drugs and cures to fight deadly diseases. It has taken over most parts of the pharma industry. As expected, it will have major role-playing by the year 2022 as well.
Now what if AI fails to produce a proper medication and the experts rely on it and start producing the drug with the formula it suggests. In this way, there will be huge investments in the industry with near to no fruitful outcome.
It best not to rely completely on the AI system to work on such a sensitive matter. Inappropriate medication will not cure but can cause greater health issues, which will become difficult to handle, as AI alone will be responsible for producing the right drugs. Lacking in interoperability and inappropriate problem solving can cause the problem to arise.
Medical Imaging
The next most vulnerable field of healthcare is medical imaging. Many companies claim to have developed cutting edge software and tools that offer immaculate medical screening and imaging where the bots can offer the noise reduction, segmentation, reconstruction, triage and many other features.
The experts should make sure to pay special focus on the programming of such software as the results are going to influence many other aspects of treatments.
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