Top 10 Benefits Of Artificial Intelligence In Healthcare

Last Updated
April 24, 2024
Top 10 Benefits Of Artificial Intelligence In Healthcare

Artificial Intelligence has come up in a whole new form and is seemingly a huge boon for the healthcare sector. However, many have yet to discover its myriad benefits.

 Before you move on to read about them, you must understand what AI is in healthcare. It is mainly a collective term that describes the applications of machine learning and other robotic technologies in medical settings. 

If you have to understand it most simply, when computers emulate human cognition, along with thinking and decision-making capabilities, it can be termed AI. It can help doctors to analyze patient history and reports, and formulate a future course of action. Moreover, it helps in providing more effective medical diagnosis and treatment plans. It makes healthcare more predictive to develop preventative care plans for patients. 

Now that you have a fair idea of what AI in healthcare means, you can read about the 10 benefits of artificial intelligence in healthcare. Of course, there may be more than this number. However, for your understanding, this is good to start with. 

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According to Survey, North America held the largest market share in revenue for AI in healthcare in 2022, standing at 59% and it was valued at USD 6.8 billion. 

Benefits Of Artificial Intelligence In Healthcare 

Enhanced Medical Diagnosis 

Time is an important factor in healthcare, where the early detection of a disease can determine favorable outcomes, whereas delay can lead to fatalities.

AI can process a large amount of data in a shorter time and positively impacts the speed of diagnosis. AI can study reports like X-rays, MRIs, and CT scans with precision and depth. This allows healthcare service providers to intervene and facilitate treatments faster than usual. 

Automation of Radiology

Medical imaging benefits from AI’s capability to detect abnormalities early on. This helps in quicker treatment. AI algorithms can analyse complex images like CT scans, MRIs, and X-rays, with good accuracy and speed. 

This allows radiologists and pathologists to interpret these images faster and helps in the accurate diagnosis of the disease. To be exact, AI does not replace human expertise but increases it manifold. AI mainly helps in assessing medical images, which are then forwarded to medical professionals for further evaluation.

 This reduces the chances of misinterpretation. AI also assists medical professionals by identifying certain repetitive patterns, which also contributes hugely, to ongoing medical research on a given ailment. 

Predictive Analysis 

AI can analyze global human behaviour and disease patterns, which assists in the forecast of future diseases and outbreaks. It can extract such data from health records globally, and environmental data. 

Take the example of COVID -19 where AI models were used to predict the spread of the virus in various regions, along with directives for the allocation of resources. These forecasts help key decision-makers to create a plan of action to mitigate such threats. 

AI plays a huge role in not just infectious diseases, but chronic ones as well. It identifies the risk factors early on empowers healthcare professionals to implement preventative measures and reduces the pressure on the healthcare system at the last minute. 

Customized Treatment Plans 

AI has brought forth the concept of personalized medicine, as every patient is unique, and so are their needs. It assists by analysing a patient’s health history, genetics, and present health status, to generate specific treatment plans. 

It also takes into account allergies and side effects that may occur from certain drugs. This not only helps in effective treatment but also omits the chances of adverse reactions. The time has come, when each patient will receive treatment unique to his or her body type and composition. 

Drug Innovations 

AI helps in drug discovery and innovation, by analysing medical history and geographical data. This is very useful for viral outbreaks and epidemic-like situations. It mainly assists researchers in predicting future viral mutations, so that drug formulation can be started beforehand.

It is a known fact that drug discovery and production is a lengthy process. Predictions on the molecular structures of virus mutants can assist manufacturers in creating the drug in a short while and can help control the spread of the disease and fatalities. It turns out to be cost-effective for the manufacturers, who can pass on the cost benefits to the patients. 

Remote Health Monitoring 

Today, the market is seeing new devices that work on IoT. Such devices include wearable devices such as heart meters, glucometers, and many more. These devices having sensors are attached to the patient’s body, continuously providing data to their medical service providers.

 It also allows such professionals to keep a close watch on chronic patients and helps in the detection of abnormalities early on. AI-powered devices today can measure blood pressure, and oxygen saturation, as well. Telehealth services are facilitated by AI-driven platforms. Patients can also take leverage of the same for virtual consultations. 

This mainly helps patients to get health advice online, without the need to visit the clinic. Thus AI enhances patient care, timely diagnosis, and treatment, even from a distance. 

Better Patient Engagement 

AI-driven apps and platforms assist patients in accessing healthcare services on the move. The incumbent can also reach out to the medical records, test results, and health diagnoses from the doctors at any instance. 

Paperwork has taken a backseat, with AI in healthcare. Medical professionals can set goals, track progress, and also measure the outcomes of medications, very easily. One can also avail of preventative measures online which acts as a boon in today’s fast-paced world. Patients are also satisfied with the medical professional’s services at a low cost. 

Streamlined Operations 

Healthcare today is overburdened with administrative tasks. Healthcare establishments like hospitals, nursing homes, and care centers are overwhelmed or rather overburdened with patient record maintenance, billing, scheduling, and handling insurance claims. However, AI has stepped in to reduce this burden. 

Now, such establishments can transfer such routine tasks to AI-driven platforms. Chatbots and virtual assistants can handle routine tasks and answer mundane questions of the patients, thus saving time. AI-powered software can also process insurance claims in a jiffy, as well. Thus, healthcare establishments and professionals can concentrate on patient disease management in a better manner. 

Resource And Cost Optimization 

Healthcare costs can be huge, especially in developing countries. Automation can reduce much of the burden, which reduces the need for human resources for mundane jobs. This leads to cost-cutting for hospitals and nursing homes. 

The savings are passed on to the patients, in this manner. Moreover, AI-driven platforms ensure that equipment is used in an efficient and correct manner. Thus, you can say that AI makes healthcare more affordable. 

Acceleration of Medical Research And Education 

Medical research plays a crucial role in healthcare settings. AI helps in analyzing data that comprises genomic records, clinical records, and scientific knowledge, and also helps in the identification of patterns. 

AI also facilitates the identification of drugs for future diseases. It aids in the drug discovery process, which is also dependent on ongoing research. AI and medical research collaboratively help in finding innovative solutions to new-age diseases and also help in managing outbreaks. 

AI also enhances medical education by allowing students to access simulation tools, to understand complex concepts in medicine. Virtual Reality and Augmented Reality applications offer immersive experiences to students, to practice surgeries and diagnose patients as well. This instant access to knowledge is only due to the availability of the right AI tools. 

Final Words 

Thus, you can very well understand that the integration of AI in healthcare can bring up many new possibilities. It can enhance diagnostic processes, drug innovations, and patient care, and streamline medical establishment’s administrative procedures. This dual relationship continues to evolve and promises a better future ahead. These are the top benefits of artificial intelligence in healthcare, which will continue to proliferate. So, you should keep an eye out for such developments in the near future, for the betterment of health resources in a fast-paced world.