The Glimpses of How AI is Transforming the Healthcare Industries in the Modern World

08-Jul-2024

Don't you think? The reason behind the rapid growth of the healthcare industry is somewhere AI. Healthcare organizations are using AI to not only improve the workflow but also to start caring for patient health. You may have seen AI being used for administrative workflow, Virtual nursing, dosage preparation, less invasive surgeries, and more. 

AI has also potentially improved the healthcare user experience by delivering more specific information about patients' health treatment and allowing professionals to make decisions. Let's explore the page below to learn more about how AI is transforming healthcare, including its benefits, risks, future scope, and more. 

How Artificial Intelligence is being used in healthcare?

As technology is transitioning and entering into day-to-day life, it has already been infused into healthcare industries as well, making it convenient for professionals to analyze healthcare data. The potential implications of AI are remarkable and include redefining the process of healthcare data, diagnosing diseases, and developing treatments and prevention. Let's find out how AI is being used in healthcare---

• Machine Learning: A key component used in healthcare that aids in analyzing patient records, medical imaging, tests, and discovering new therapies.

• Natural Language Processing: providing medical professionals with AI to more accurately diagnose illness by extracting useful information by interpreting and using human language. 

• Rule-Based Expert System: Many EHRs currently make a set of rules for clinical decision support. 

• Diagnosis and Treatment Apps: They have been at the core of AI for many years. With the power of AI, they enhance and widespread the capabilities of diagnosis, treatment, and clinical trials.

• Administrative App: from the administrative aspect, it changes by automating tasks like data entry, claims, appointment scheduling, and more.

When was AI first used in healthcare?

Have you wondered when the first AI was introduced? Well, when you go to find out the answer, you will find the answer in the 1950s and the birth of AI. In the healthcare industry, the concept of AI was introduced to solve biomedical problems in the 1970s. So, you can say that that was the first time AI was used in healthcare. Jump from that time to now, and you can see how AI has been developed and used in many healthcare fields. Through the time the 1980s and 90s, more AI was developed and has been introduced to achieve medical advancements like-

• Quicker data collection and processing. 
• To precise surgical procedures.
• Implementation of electronic health records. 

What is the role of AI in medical devices?

Driven by innovation, AI, and ML, how much advancement can you expect in medical devices? You may have seen all the changes in the medical device sectors over the past years, especially after the COVID-19 pandemic, which significantly changed the landscape. Take Medical Devices such as Diagnostic Imaging Devices, like MRI and CT scanners, which use AI and machine learning Algorithms to improve the accuracy of diagnosis. 

The healthcare industry has achieved great advancements through the use of technology. Now, it has shifted to the next gear and picked up a pace where AI has been playing a vital role. Below, this line will help you identify some of the roles AI is majorly used in medical devices.

• Enhanced Diagnostics: Medical Devices have become AI-powered and can analyze patient data quickly and accurately, helping health professionals make diagnostic decisions more precisely. For example, AI-advanced devices can accurately detect and diagnose health issues, helping doctors identify and prepare proper medications.

• Personalized Treatment: AI-driven medical devices help curate personalized medicines and have the potential to revolutionize treatment plans, which are fully based on characteristics and preferences. For example, with the help of AI, an app can help you find a treatment plan based on symptoms and medical test data.

• Predictive Analytics: AI algorithms can analyze the data of thousands of patients spontaneously and predict potential health issues before they arise. For example, a machine that measures body composition can be powered by large amounts of data, and with the help of Algorithms, it can predict future health issues. 

• Remote Monitoring: Remote monitoring is a major achievement in healthcare that has achieved with the help of AI. Health professionals can monitor patients remotely by tracking their health metrics in real-time, and distance is no longer an issue. 

What percentage of AI is used in Healthcare?

Understanding the role of AI in the medical and healthcare sectors, the involvement has increased drastically. If you consider the past ten years, you can notice how AI is being used. For example, you can find AI in fitness tracking devices, body monitoring, path labs, healthcare research, and so on, and the percentage is gradually increasing. Let's go through some stats and find out how much AI has been used in healthcare until now by reading the points below. 

• In the NHS (Nationa, Health Services), 34% of apps use AI and ML to diagnose disease.
• Moreover, 42% of companies are exploring the scope of using AI.
• Up to 35% of companies are reskilling their employees by providing them with training to use AL and other automation tools so that they can work more efficiently. 

Benefits of Artificial Intelligence in Healthcare.

• Remote Patient Monitoring: With Wearable devices and sensors, monitoring vitals has become easy and accessible from anywhere.

• Scanning and Ultrasound Technology: AI-powered Algos help analyze medical images to detect patient's conditions.

• Managing Customer Data Records: Gathering and analyzing kinds of patient data from previous health-related data and, with the help of AI, streamlining the administration process by accessing information quickly.

• Robotic Assisted Surgeries: Medical robots powered by AI that work alongside a human surgeon and carry out procedures independently. 

• Drug Research and Development: By interpreting large data sets, expedite drug discovery and research for drugs to cure illness through AI-driven simulations. 

• Healthcare Assistants: Virtual Assistants make workflow easy by doing a variety of tasks in a healthcare organization. 

What are the risks of AI in Healthcare?

Technology never came with a boon, but it helped humans achieve what they had dreamt of. Here, AI has been playing a key role in envisioning the future of the healthcare sector. Exploring the modern-day health industries, which are continuously driven by AI, has replaced the roles and responsibilities of humans. There is still a side that needs to be considered and discussed: the risks and challenges involved with AI affecting healthcare. 

Here are some of the significant challenges and potential risks that are continuously trending among researchers. 

• Data Privacy and Security: With digitization, the amount of sensitive and confidential data is growing, and for AI to present and analyze this diverse type of data, it becomes vulnerable to privacy and security due to its dichotomous nature. 

• Training and Education: As AI expands in the healthcare industry, there's a significant challenge in training and education needs for medical students and health practitioners. They need to develop technical skills simultaneously with the paradigm of medical learning. 

• Black-box Reasoning: ML and AL promise to transform the health system, but it is difficult to determine how they will produce the end results. This unknown functioning, called black-box reasoning, concerns patient safety and clinical judgment. 

• Biased Data and Functionalities issues: One of the major risks that always raises questions about the effectiveness of AI decisions is Bias, which can occur anytime for any reason. For example, the data that has been used to build the algorithm and train the AI might be biased, which causes variance in the data, and AI will apply it in real life. 

What is the future of AI in healthcare?

Surveys conducted by many non-profit organizations and top universities on the future scope of AI in the healthcare sector conclude that a dramatically different future can be expected in the coming years to 2035, and the future of AI in healthcare will target the following things.

• Linked-Care: In the coming future, you can see a network of seamless data sharing, which helps many companies create life-saving connectivity by analyzing and detecting patterns and integration systems. 

• AI-powered Predictive Care: AI is currently used to predict the level of risks based on historical data. In the future, AI prediction will become more precise and improved, and it can evaluate the probability and risk of a person developing an illness. 

• Betterment of Patients' and Staff's Experience: The evolution of AI will also improve the experience of patients and staff by reducing wait time, increasing the efficiency of hospitals and clinics, and overall bettering the whole health System in a province. 

What is the conclusion of AI in healthcare?

As AI continues to evolve, many more exciting changes can be seen in healthcare. You are witnessing the transforming era of medical advancements. The time is not far away when humans will rely on AI apps and software for mini diagnoses. The gradual involvement of AI in healthcare may increase some potential risk factors that must not be ignored, and people are still doing research to lower the risk. 

Undoubtedly, it brings new possibilities and qualities to the healthcare system. One can anticipate how big the benefits of using AI will be in the healthcare and medical industries in the upcoming future by filling the gaps and challenges that are deep-rooted because of lack of funding, weak regulations, and infrastructure. Identifying the problems, making the right decisions, and developing solutions by implementing AI will surely help to harness the future scope and go beyond that. 

When was AI first used in healthcare? What is the role of AI in medical devices? What percentage of AI is used in healthcare? Benefits of Artificial Intelligence in Healthcare What are the risks of AI in healthcare? What is the future of AI in health