Top 7 Ways How AI will Impact Healthcare Industry
Tags: ai, aiinhealthcare, healthcareautomation, machinelearning
Published: 2021-05-27 15:28:17

Artificial Intelligence (AI) is the most-traversed domain in the world of digital technology in this era. It is the prime pillar of automation happening in different industries. These days, chatbots developed using AI and Machine Learning are interacting with users to resolve issues, providing necessary information, and helping in making buying decisions. This remarkable transformation of the IT world is changing the operational dimensions of other industries such as the healthcare segment.
As we all know, data is the oil of almost all the industry. Its value cannot be ignored as the competition is increasing every day driving the entities to design new ways to make business better and to keep a customer base satisfied. This is where the utilization of the latest AI platforms brings such major changes delivering exceptional outcomes. In this section, we will discuss the impact of AI on the healthcare industry.

##Impact of AI on healthcare##

###1. Digital Consultation###
Gone are those days when patients had to consult doctors physically. Apart from the major cases, a majority of the cases can be sorted by seeking online consultation using different advanced interfaces. The prime hurdle is to check the vitals of a patient. This hurdle can be resolved using well-designed interfaces connected with the latest diagnostic equipment. This is the future of healthcare industry where accurate remote consultation can be provided using such interfaces.
In the contemporary stage, the patients can use applications where they can resolve their queries by interacting with an AI platform. This platform uses machine learning as the prime tool to learn from the data fed. It reduces downtime and helps in resolving problems before they get deteriorated.

###2. Diagnostic Advancement###
The diagnostic interfaces used in different tools are being upgraded by using the best AI practices. The detection of anomalies in the test reports and real-time tests has increased considerably. The reliability of such interfaces help doctors to make an accurate diagnosis of a patient by eliminating errors. This advanced technology has made diagnosis in the cardiology and radiology departments better.

Its impact on the oncology division is praiseworthy. From reducing detection time to escalating the level of accuracy, AI has come a long way to make cancer diagnosis and treatment better.

###3. Drug Discovery###
Moving ahead from the diagnosis section, if we look into the drug discovery part, AI has made the process more convenient and less time-consuming. Designing a new drug molecule took as long as a decade. The research leads to the formation of thousands of potential molecules based on a prototype. Checking the efficiency of each molecule and eliminating the options take so much time. The AI-driven in-silico platforms can make this process faster by eliminating the unimportant compounds. It helps the research team to focus on the potential ones.

The leverage of using a vast database of clinical information and drug potential also helps us creating vaccines, medicines, medical treatments, procedures, etc for morbid diseases. In fact, these platforms also aid in understanding specific trends of the medicines sold in the world. A very high volume of data can be analysed using such platforms to conclude the therapeutic effects and side effects of a drug molecule. Hence, AI also aids in understanding the potential of a drug molecule, avoiding adverse effects, and finding better versions of a prototype.

###4. Robotic Assistance###
There are many invasive procedures that are very hard to achieve due to various complications. Human hands are unable to reach those locations properly. In fact, proper tools also cannot make it simpler. This is where the development of robots that can be controlled with an AI platform can be very helpful. The advancement of developing robotic arms that can operate minute surgeries under the supervision of an experienced doctor can save many lives. These bots can also provide vital information accurately to a medical team helping to diagnose and treating severe diseases.

The development of nanobots can also help to administer doses to a specific location. This idea can also localize a treatment procedure to provide better outcomes. From diagnosis to treatment, robotics will play a big role in the near future. This is only possible due to the advent of AI and ML platforms in the healthcare industry.   

###5. Virtual Assistance and Follow-up###
Another big hurdle of the healthcare industry is the lack of trained and experienced medical professionals. A pandemic has taught us the lesson. Most of the time, doctors are seen engaged giving follow-ups and assistance to a patient admitted in a hospital or currently receiving treatment at home. This is where doctors can save their precious time by virtually following up with the patients using an AI platform.

In fact, this platform can also ensure that a patient is taking medication at a specified interval. The utilization of chatbots can also resolve queries that patients or caretakers raise very easily. The ever-learning AI platforms can provide an accurate suggestion to the patients/caretakers that can save time for the medical professionals and help patients get better faster.

###6. Brain-computer or Neurological Interfaces###
One of the biggest unsolved puzzles in the medical world is brain mapping. The effect of different incidents and accidents causes damage to the brain. In fact, it is also not easy to pinpoint the locations of a brain affected due to unprecedented developments. Brain mapping is an excellent domain to study. The impact of AI, in this case, is marvellous. The advancement in this domain is helping to store and restore fundamental experiences by using AI-driven brain-computer interfaces.

Research is going on to use such interfaces to learn which part of the brain acts when a particular function is done by an individual. Researchers are trying to communicate with a person’s brain with a computer interface. This can help to improve the lifestyle quality of patients suffering from strokes, ALS, etc.

###7. Healthcare in Underdeveloped Countries###
The reach of digital technology is remarkable. As mentioned earlier, the shortage of well-trained medical professionals causes havoc in underdeveloped countries. People are helpless when they do not get proper medical attention during an emergency or illness. The healthcare industry can expand in developing countries with the aid of AI.

The severe deficit of such services can be mitigated to some extent by using such elegant platforms. Patients can seek medical attention via AI platforms and can start acting on the illnesses. AI tools can reduce the time consumed to check test results and diagnose an underlying ailment. The advent of smartphones and healthcare-based applications can do the needful. The [AI-based healthcare solutions] (https://www.flatworldsolutions.com/healthcare/) developed will surely bring a huge change in these countries. 

##Verdict##
It has become much easier to input and store electronic health records. It has also become easier to analyse data for pharmacovigilance and to find the efficiency of drugs and treatment procedures. The increasing population and escalated demand for healthcare can only be met with smart interfaces. These interfaces use an AI-driven platform. In a nutshell, AI has an immense impact on the healthcare industry.
The development of wearable gadgets, easy connection with medical professionals, detecting underlying physiological problems, and mitigating health-related risks can be smoothly done with the advancement in AI and ML. The healthcare world will become better and convenient for all.