Mechanism of AI in Healthcare: Your Future Doctor is Here!

Sep 1, 2021
Mechanism of AI in Healthcare: Your Future Doctor is Here!

Undoubtedly, the health industry is going through some of the most pressing issues, and it has become essential to understand the techniques that could fix the same. As a result, almost all industries, including healthcare, are focusing on integrating technologies like Artificial Intelligence to meet higher living standards. 

Because it’s the technological age! 

Since the first century, human beings have always been fascinated to give rise to a technology that could imitate the human brain. Thus, began the rise of AI that collects data, interprets the same, and makes decisions accordingly.

In this article, we’ll be focusing on the use of AI in the healthcare sector; therefore, if you’re a part of the industry, give this piece a read for a better understanding. 

So, let’s get started! 

The New Age Healthcare System 

There’s a tremendous demand for healthcare services, and many countries have encountered a shortage of medical practitioners, especially after the rise in COVID-19 cases. During these situations, AI has come forward to provide opportunities for on-demand healthcare services with the help of smartphones and mobile apps. Not to forget mentioning that these online services are playing an exceptional role in the industry, eliminating the spread of infectious diseases. 

Did you know?

AI is advancing the overall healthcare mechanism, and the health app market is likely to hit $6.7 billion by the end of 2021 due to the increasing demand. 

Now that you know the impact of AI on healthcare, here’s something for you to learn more about its use cases. Keep reading to know!

Use Cases of AI in the Healthcare Industry 

  • Patient Pre-screening 

As per a leading medical journal, AI can add value to the patient pre-screening by checking symptoms online, which may be highly accurate. It is essential to mention that the technology is being integrated with mobile healthcare apps to provide an enhanced experience to the users, unlike traditional methods. To further advance the functionality, chat and voice-based solutions can be incorporated. 

Not only will the AI provide solutions to the patients, but give further recommendations about visiting the hospital, scheduling an appointment, etc. 

  • Diagnosis and Medical Monitoring 

One of the top-notch use cases of AI in the healthcare industry is a medical diagnosis. The technology excels in recognizing uncommon diseases that are otherwise not recognized by professionals. 

Notably, Deep Learning (DL) is an AI form, emphasized for medical monitoring and diagnosis to initiate human-like thinking. This AI application eliminates the unnecessary time taken by the professionals to study a rare medical situation and tackles the issue at its earliest. 

  • Patient Intake 

It is not always possible to go through formalities, like paperwork, in times of medical emergency. Therefore, AI in such situations can keep a check on patient intake and triage via chats to congregate all the necessary information from the patients and regulate the following steps. 

The data is stored digitally, which uses algorithms and connects the patient with the respective health professional. Furthermore, the data gathered also helps determine if the patient needs to seek immediate help or the situation is under control. 

  • Preventative Healthcare  

What if, necessary steps could be taken before the situation worsens? Preventative care refers to adopting a procedure that would defend any future health-related issues. For instance, vaccines, dental check-ups, etc.

If you’re wondering how AI could benefit in preventative healthcare, it can be used in the form of wearables or other devices, like Fitbit, Apple Watch, etc. Therefore, these devices collect data related to heart rate, blood pressure, physical activities, and more, detecting health issues that are likely to occur in the near future. Then, the collected data can send alerts to the users to take preventative healthcare. 

  • Drug Detection 

Everyone’s well aware of the situations when the professionals were working on the COVID-19 vaccine for over a year. Undoubtedly, the drug discovery processes are time-consuming and expensive. Therefore, the drug makers are adopting Artificial Intelligence for developing and testing any new drugs. 

Notably, developing drugs requires data in bulk, so nothing goes wrong with the process. Therefore, once the drug is accurately developed, the drug approval stage takes no time, eliminates unnecessary expenses, and offers efficiency. 

 Sure, AI-integrated healthcare app development will be a massive step and will tremendously contribute to revolutionizing the industry. However, it comes with a lot of challenges as well. 

Do you want to know more about the same? 

Take a look!

Challenges of AI in Healthcare 

  • Data Privacy and Security 

AI demands the gathering of personal data, which needs to be highly secured. In the past few years, the exchange of information between medical organizations and AI companies have given rise to numerous controversies, which further raised ethical questions like:

  • Should hospitals be allowed to record a patient’s medical data?
  • Is there an advanced method to protect patient’s privacy?
  • What will be the consequences of a security breach?
  • Usability of Data 

On the one hand, other industries are having access to accurate data; the data stored by the healthcare sector might be subjective and raise issues like:

  • Data inaccuracy
  • Difficulty in interpretation
  • ETC!

To Sum Up 

With a plethora of difficulties in the healthcare industry that need to be overcome, the need for innovative solutions is a must. Therefore, industries are now inclined towards technologies like AI and ML for efficient functioning and solutions. 

Initially, providing diagnosis and treatment was posed to be a challenging task; however, now, AI can be seen mastering the domain. It is crystal clear that AI will not replace human assets, but rather augment their attempts. 


Assuming that you might have answers to all your questions by now if you’re already planning to incorporate the technology into your traditional mechanism, it is a great time to do so. With the rise in automation-related technologies, it is an excellent opportunity for your business to monetize via the same. 

So, what are you thinking? 

Reach out to the professionals for further insights and happy innovation! 

Author Bio

Ankit Singh is a seasoned entrepreneur, who has crafted a niche for himself at such a young age. He is a COO and Founder of Techugo. Apart from holding expertise in business operations, he has a keen interest in sharing knowledge about mobile app development through his writing skills. Apart from sailing his business to 4 different countries; India, USA, Canada & UAE, he has catered the app development services with his team to Fortune 200, Global 2000 companies, along with some of the most promising startups as well.



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