Role of AI In Healthcare Industry

Role of AI In Healthcare Industry

The role of ai in healthcare industry has been nothing short of exceptional. Artificial Intelligence has reshaped how we diagnose, treat, and monitor patient care. Artificial intelligence in clinics and hospitals can provide faster, more efficient, and more brilliant patient care. Artificial intelligence transformed how patients receive quality care while reducing costs and improving health results. Artificial intelligence assists nurses and doctors in their daily work. The global market size of artificial intelligence is estimated to be 20.9 billion in 2024 and is expected to reach USD 148.4 billion by 2029. In this article, we will discuss the benefits and disadvantages of artificial Intelligence in the healthcare sector and how it’s modifying the future of healthcare.

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What are the types of artificial Intelligence in healthcare?

Various artificial intelligence technologies serve a specific purpose in the healthcare industry. Some of the most essential Artificial intelligence technologies in healthcare are : 

  1. Machine learning: Machine learning in healthcare collects patient data sets and helps healthcare professionals find patterns and symptoms that help them recognize new diseases, make risky decisions, and predict treatment results.
  2. Internet of Medical Things:  This is the network of medical devices and medical applications that can connect through online networks. 
  3. Robotics process automation: This artificial intelligence technology in healthcare helps healthcare professionals automate manual tasks like data entry. This will save them time to utilize in more valuable activities like patient care.
  4. Natural Language Processing: With natural language processing, computers can understand, analyze, generate, and replicate human behavior and language.

Benefits of Artificial Intelligence in Healthcare

Artificial Intelligence offers numerous benefits in health care services. By implementing advanced AI algorithms and data analytics, healthcare professionals can enhance the efficiency and accuracy of various healthcare applications. From better patient care to early diagnosis, artificial intelligence is helping the medical industry become future-ready. Here are some of the critical benefits of Artificial Intelligence in the healthcare sector: 

1. Better patient care using AI

A study shows that 83% of patients find poor communication the worst part of their patients experience. To adhere to that, AI comes with a solution of automating patient communication that simplifies complex tasks like managing appointments, setting reminders, dealing with payment issues, handling patients’ current and past data, etc. With this facility, healthcare professionals can focus on their primary work, i.e., patient care. 

2. Personalized medicine 

In personalized medicine, we use AI to collect large databases of patients, such as their genetics, lifestyle, and environment, which helps healthcare professionals provide more specific treatment. AI detects patterns in the data to predict the patient’s response to medicines and treatments more accurately. This approach to medicine, also called precision medicine, increases the effectiveness of treatments, reduces side effects, and leads to a new era of precision health care.

3. Medical Imaging using AI 

With the AI-powered imaging system, radiologists and pathologists can diagnose various conditions faster and more accurately. AI helps detect patterns from images and saves doctors time correctly diagnosing patients. According to some researchers, AI-powered imaging procedures perform better than humans. Automating X-ray and cancer screening tests helps detect early disease, leading to better control and minimizing the risk of unfortunate conditions. 

4. Drug discovery with the help of AI 

AI has proved to be a game changer in drug discovery, especially concerning the speed and rate of successful deliveries. Through analysis of enormous datasets, AI algorithms predict drug candidates with greater accuracy, which not only reduces time and cost but also helps to improve the process’s outcome. The global AI market in drug discovery is estimated at $0.9 billion in 2023 and is expected to reach $4.9 billion by 2028, making it the fastest-developing sector.       

5. Robotic surgery 

AI-controlled robotic surgery introduces the hallmark of enhanced levels of efficiency and precision in this field. The AI algorithms deeply examine extensive data by assisting surgeons in judgment-making and surgical processes to reduce human error. Based on a recent report, robotic surgeries have been found to involve 21% fewer complications and 55% fewer hospital stays than traditional methods of operations. On the other hand, the significant value of this market is expected to reach up to 17.5 billion dollars by 2025. This combination of robotics and artificial intelligence is expected in the future of healthcare, and it will become a safer and more effective way to benefit patients.

6. Telemedicine 

Telemedicine allows a doctor to diagnose, treat, and inform patients without visiting them in person. You can communicate with a healthcare professional from your home using artificial intelligence. With AI in telemedicine, healthcare professionals can connect with patients who live in rural or underprivileged areas where access to quality healthcare is limited. In the time of the pandemic, telemedicine has proved to be a boon for patients, they can consult doctors with just by few clicks and can also order medicines at their doorstep. After the COVID outbreak, the telemedicine market exploded with a market size value of USD 87.41 billion in 2022 and is expected to grow 286.22 billion by 2030. 

Disadvantages of Artificial Intelligence in Healthcare

AI is believed to play a revolutionary role in the healthcare sector, which can be seen in detecting many diseases, personalized treatment plans, medical history collection, and even disease prediction. While artificial intelligence in healthcare has many positive impacts, it also has some key issues we must ensure are appropriately and ethically handled during its implementation. Here are some key disadvantages of AI in the healthcare sector. 

1. Privacy and Security concerns: 

One of the significant issues with AI in healthcare is the augmentation of already available enormous amounts of patients’ data. This simply means that some privacy breaches and data security issues are of concern. Missing or wrong control over the patient data can result in identity theft, discrimination, or unauthorized access of a patient informant. Moreover, with AI systems getting more complicated, they become attractive targets for hackers who can break the integrity and confidentiality of patients’ data.

2. Lack of transparency and accountability: 

With so many AI algorithms functioning in healthcare, human decision-making could be more transparent and straightforward. This, in turn, raises the problem of accountability and trust in AI. Patients, healthcare providers, and authorities may deal with the complexity of understanding how AI systems obtain their recommendations and diagnoses, so assessing their accuracy, credibility, and possible biases is challenging. Higher transparency and accountability are essential for making AI safe and controlled in healthcare. 

3. Overreliance on Artificial Intelligence of healthcare professionals: 

While AI systems are getting more advanced, healthcare professionals’ dependency on these tools is a serious concern. This reliance could lead to a demotion of healthcare workers who lose their intelligence skills because they become overly dependent on AI to make crucial decisions. However, if healthcare professionals are poorly trained in how AI systems work or the limitation of their suggestions, this might negatively affect clinical judgment and patient care


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