4 Ways AI in Healthcare Technology is Shaping the Future

Rohan Mathew

Updated on:

The healthcare sector is undergoing a tech revolution, and one of the trends to watch out for in health technology is artificial intelligence.

The Covid-19 pandemic has accelerated the adoption of AI in healthcare. According to a new survey by KPMG, 82% of healthcare and science executives want their organizations to adopt AI technology. Fifty-six percent of business leaders in healthcare and life sciences report that AI has delivered more value than expected.

But how exactly is artificial intelligence useful in the healthcare industry? Read this article to find out the top four benefits of AI in healthcare

  1. AI in Healthcare Research

Healthcare research is no longer the same with the application of AI in healthcare. For instance, it has taken care of data collection, an exercise that was time-consuming and costly. Data research using AI technology is faster and cost-effective. 

According to the California Biomedical Research Association, a drug takes approximately 12 years to move from the research lab to the patient. 

Also, not all drugs undergoing research end up on the market. Only five out of 5,000 drugs are found useful after undergoing preclinical testing. 

It cost $359 million to research and develop a new drug, but not anymore. With the introduction of AI in healthcare, things are taking a new turn. 

The advances in AI have made it easy for the healthcare industry to perform drug discovery and repurposing processes. Studies such as single cell experiments with ROSALIND are now easy thanks to technology. All these processes not only take a shorter time but are also very cost-effective. 

AI is used in disease detection, delivery of services, chronic conditions management, and drug discovery.

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  1. AI and Genomic Data

Another big challenge facing the healthcare industry is the interpretation of genomic data. The healthcare industry needs to use genomic data, lifestyle, and clinical patient information. These factors together will help in discovering early disease signs.

Genomic data helps identify specific clinical changes. This study later leads to more personalized and effective treatment methods. 

Researchers are using artificial intelligence to try and get some helpful insights from genomic information. AI has provided a powerful way to help clinicians make sense of dense data types like genomics. 

AI and machine learning have been of great help in data transformation. AI helps identify patterns in data that are not too obvious.

AI enhances the interpretability of complex genomic data into useful clinical information. With the interpreted data, clinicians will easily improve disease diagnosis and treatment.

But despite all the benefits of AI in healthcare and genomic data, there are also challenges. Therapies may face issues that give rise to controversies in the use of AI. AI is still associated with potential bias, limited knowledge, and inaccuracies. 

If the industry manages to overcome these challenges, it’ll achieve long-desired personalization of healthcare services.

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  1. Artificial Intelligence and Telehealth

Telehealth and healthcare technology have shown tremendous growth in the past years, and it’s projected to reach $396 billion by 2027. This growth has been fueled further by the current pandemic that has forced the healthcare industry to deliver remote services. 

Many countries forced their residents to stay at home. As a result, there was an increase in the number of virtual healthcare consultations.

Telehealth ensures both patient and doctor are protected from making direct contact. It has also helped patients avoid inconvenience and challenges associated with personal visits. Patients can manage their lives better, get medication, and deal with chronic conditions.

Telehealth is now partnering with artificial intelligence to remove administrative burdens, with the end goal being creating better experiences for both patients and clinicians. As a result, the relationship between patients and doctors will become stronger.

Doctors can focus on patient needs, while artificial intelligence focuses on taking care of patient data. AI will incorporate patient data with contextual information to form complete clinical notes. 

Doctors can now spend more time with their patients. They have sufficient time to listen to their concerns and answer their questions.

  1. AI in Healthcare Helps Patients to Maintain Health and Wellness

With the introduction of AI, patients no longer need to go to the hospital all the time. They don’t need a doctor to make important health decisions as technology is at their disposal. With the Internet of Medical Things (IoMT) in health applications, AI is proving to be of great help.

Various apps help people to maintain healthier lifestyles by developing proactive behavior. Patients gain more control over their well-being with these apps. They know what to do whenever things seem to get out of control. In short, they are their own healthcare givers.

AI plays a big role in capturing physiological data and giving well-being data results. From this data, you can draw a lot of lessons and get answers to many questions. From the lessons, you can adopt a better and healthier lifestyle and raise awareness of your health status.

There’s More to Artificial Intelligence in Healthcare

AI in healthcare indeed helps shape the industry and improves the experience of doctors and patients. It minimizes the time spent in diagnosis, improves treatment methods, and boosts doctor-patient relationships.

With AI, it’s evident that the industry is taking a new shift towards healthcare from sick care. Patients have access to better tools that help them stay healthy. These tools also limit the need to visit the hospital every time. 

Are you ready to learn more about the future of AI? Keep checking our site for more information.