How Pattern Recognition by AI Helps Digital Transformation of the Healthcare Industry?


A Quick Rundown on Healthcare Industry

Modern-day digital transformation has an impact on the healthcare sector. Cutting-edge technological tools and solutions are used to improve patient treatment and patient care. Moreover, the latest technology helps develop innovative business models and improve communication.

For the world’s health to keep improving, the current healthcare delivery model is becoming progressively unworkable. One of the most crucial elements in the evolution of healthcare is the adoption of digital services.

A patient-centric strategy, which aids in comprehending patient expectations and improving operational efficiency, is built on a foundation of digital transformation. The market is anticipated to rise as a result of the improved pharmaceutical investment, regulatory reinforcement, payer involvement in digital technologies, and improved connectivity in telehealth due to consolidation.

Thanks to the adoption of new technologies such as virtual reality techniques, wearable medical equipment, telemedicine, and 5g mobile technology, the market size for digital transformation in healthcare is anticipated to expand at a 14.30% CAGR over the course of the projected time frame, reaching nearly US$ 98.34 Billion by 2029.

On the other side, it is anticipated that economic challenges and legal restrictions will restrain the expansion of the global healthcare sector through digital transformation. Around the world, the healthcare industry is changing as a result of rapidly developing technological advancements, demographic shifts, and economic and financial developments.

Healthcare delivery may change as a result of Artificial Intelligence (AI). It has been examined in one of the reports on how Artificial Intelligence can assist advancements in treatment outcomes, patient satisfaction, and accessibility to healthcare services. It can boost output and care delivery efficiency, enabling healthcare systems to serve more people with more effective treatment. AI can assist medical professionals to offer better healthcare, allowing them to devote more time towards direct patient care.

Reason #1 As opposed to medical professionals, Artificial Intelligence can spot medical patterns!

Artificial Intelligence brings a new level of analysis and intelligence to the healthcare industry by allowing machines to execute human-like specific jobs. It does this by enabling the processing of massive volumes of data, finding patterns in the data input, and learning from experience. The ability of AI to spot patterns and data that would take humans years to comprehend is a game-changer.

With the use of artificial intelligence, a computer can interpret the meaning of various medical professionals’ communications and begin to spot trends. For instance, they can spot some medications or conditions that we were unaware of because we had never considered them as potential causes of cataracts. The algorithm suggests the questions to ask and identifies patterns we had never considered.

Artificial Intelligence allows modern-day practitioners to offer enhanced medical services by leveraging data sets and algorithms. This helps them get accurate and reliable patient medical information at every stage of treatment that one undergoes. Let’s check out a few instances of the same –

  • Once correctly programmed, AI/ML clinical software can spot whole new patterns, the ones that medical practitioners can’t perceive or listen to. It can detect and show us such patterns that we weren’t previously aware of in terms of biological data, and that too more precisely than humans ever can.
  • Identifying previously undetected patterns provides clinicians with fresh knowledge to diagnose and treat sickness as well as new lines of inquiry to better understand diseases. For instance, a study team in the United Kingdom recently created ML technology that can identify inherent warning signs of a potential heart attack.
  • It has the potential to spot inflammation, fibrosis, and blood vessel abnormalities around the coronary blood vessels that provide blood to the heart. Doctors may be able to identify people with otherwise undetectable premature heart disease symptoms, given this newfound biomarker, and take preventive action.

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Reason #2 It can spot patterns more quickly

Pattern recognition techniques have been applied to biomedical data such as signals and images for a long time now. It has helped in automatic as well as machine-driven clinical diagnosis and therapeutic support. The latest pattern recognition methods and algorithms offer high performance in regard to accuracy and timeliness.

It helps to enhance healthcare results by enabling medical practitioners to undertake informed decisions at a quick pace. Pattern recognition stands inevitable when it comes to making quick clinical decisions, especially under stressful events such as that of intensive care units. AI-powered software processes data 1,000 times quicker than humans while maintaining great uniformity and accuracy. The experience with radiology has been really enlightening.

Radiology has been demonstrated to benefit from AI in at least two ways. Firstly, AI accelerates the pace at which MRIs are acquired with the help of deep-learning techniques. Recent studies have revealed that the quality of these quicker photographs is equivalent to that of conventional approaches. Thus, hospitals can schedule more surgeries in a day and patients need to spend less time cramped up inside tubes.

Secondly, Artificial Intelligence can help radiologists by fragmenting structures and eliminating repetitive procedures that require hundreds of keystrokes. This reduces workload. Finally, AI is becoming as accurate at spotting lesions as a person. This is another case where AI’s work ethic wins out because it can evaluate thousands of images more accurately compared to an experienced radiologist.

When we apply our rapid analysis in the pathology lab, we observe a lot of benefits. Following the digitization of biological samples, an AI/ML tool can identify patterns and give that data to the pathologist, effectively performing a rapid disease screening. Patients can receive their biopsy or blood test results in the following day, saving them from having to wait a week to learn the outcomes.

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Reason #3 It can identify health patterns for patients who are at home

Nowadays, almost everyone has access to gadgets with sensors that can gather important data about their well-being. An increasing amount of health-related information is produced on the go, from wearables that can monitor the heartbeat. Along with this, the step count is also now easily done and displayed on the cellphones.

This data can be gathered, analyzed, and supplemented with patient-provided data from apps as well as other home monitoring equipment to create a distinctive view of both individual and population health. Artificial Intelligence will be essential if we are to extract meaningful insights from this huge and varied treasure trove of data.

Additionally, the use of Artificial Intelligence (AI) in telemedicine is growing as it enables physicians to make more data-driven, immediate decisions. This could further enhance patient satisfaction and clinical outcomes by enabling them to focus more on digital healthcare choices across the care continuum.

The way doctors provide care has evolved because of digital health technology. For instance, a person with Type 2 diabetes can use a skin sensor to measure their insulin levels and a smartphone app to transmit the data immediately to their clinic or hospital. The doctor may then make modifications as required and considerably faster. So, in cases where you were required to wait for a three-month checkup for checking up on your diabetes report, AI-driven pattern recognition could constantly help improve insulin sensitivity to a great extent.

Patients with chronic illnesses can also benefit from AI-based products to live peacefully at home. For instance, a doctor might prescribe medication and give dietary guidelines to a patient with heart failure, but the doctor is still unaware of the patient’s daily health and is unable to predict whether the patient’s condition is likely to worsen. By the time the patient’s semi-annual follow-up appointment comes around, they could have resumed feeding unhealthily, stopped working out, or even forgotten to take their prescription.

However, if those patients had access to a body weight scale, a smart stethoscope, and a basic blood pressure monitor, they could check their patient’s condition every day. Imbalances and negative trends may be detected in real-time by submitting all of that data to an AI-based software, which would then send notifications to the patient and the doctor.

AI betters the overall healthcare industry, all thanks to pattern recognition feature

AI for medical applications has a lot of potential, despite some challenges including ensuring good data quality and training personnel on the technology. Among the many benefits that artificial intelligence in healthcare may offer are enhanced preventative medicine, strengthened information interchange, and greater diagnosis efficacy.

The issue of whether using AI in medicine is beneficial is irrelevant because it is without a doubt the future of healthcare. It all depends on how long you can manage to put it into action. We are aware that everyone is keen to embrace artificial intelligence at this time. But there are a few pointers or aspects to consider in this regard. Prior to anything else, fully comprehend the unmet clinical requirement and how an AI/ML technology can fill it.

One must conduct a thorough inquiry for potential suppliers and speak with each one to determine the impact of their offering. You shall strive to know about its functionality, comprehensiveness, and explainability. Moreover, you should seek answers to questions such as – What effect does it have on clinical workflow? Is there a sandbox you may use before making a purchase? Who are the other parties involved?

In conclusion, AI/ML medical software will remain to have a significant impact on healthcare owing to its capacity for pattern identification and unwavering performance. It almost definitely won’t ever replace doctors, but in the near future, it will be a vital, tireless, smart aid to them.

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More About Author

Vishal Nakum

Vishal Nakum is a tech enthusiast with a passion for exploring the latest developments in the world of technology. He has a keen interest in emerging technologies such as Artificial Intelligence, Machine Learning, and Blockchain, and enjoys keeping up-to-date with the latest trends and advancements in these fields. Vishal is an avid learner and is always on the lookout for new ways to expand his knowledge and skills. He is also a creative thinker and enjoys experimenting with new ideas and concepts. In his free time, Vishal enjoys playing video games and reading books on technology and science.