January 12, 2022
With quickening pace of artificial intelligence success, AI is gaining a lot of traction in various industries. In the medical and healthcare space, AI is poised to make a huge difference and is predicted to have tremendous potential to change the healthcare system from the ground up. The technology is also making significant progress in introducing digital transformation solutions that have the power to transform the way healthcare practitioners approach the diagnosis and interact with patients.
In addition, as confirmed by a PWC report, AI is heavily used for improving the efficiency and rapidity of processes pertaining to medical supply chains and back offices. AI is also forecast to project ample opportunities in form of automation and innovations in medical and pharmaceutical arena.
With that, here is how AI is going to transform healthcare industry in future.
One of the compelling ways AI can transform healthcare industry globally is its deep learning ability. AI along with learning capability can be used to classify images and extract the most crucial information from images. The method enables healthcare providers to make the diagnosis faster and more accurate.
For instance, UK researchers at Oxford Hospital massively leverage AI solutions to speed up diagnosis for critical conditions like heart disease and lung cancer. In certain cases, AI is able help doctors gain rapid insight into the patient situations and decide in time whether or not patients should be sent to respective specialists.
Since most general repeated tasks and diagnoses can be taken over by AI, it becomes easy to save time. As AI comes to the rescue for many medical processes, it frees up a lot of time and space for healthcare professionals so that they can focus on more high-quality patient care. APWC report also leads us to believe that healthcare specialists can capitalize on AI tools to help their staff improve their efficiency in managing routine tasks such as pathology or radiology.
This means much more accuracy and speed in patient care and increased revenue potential.
When it comes to diagnosing critical health conditions, analyzing data is of great significance. A study on wearable devices also reveals that sophisticated gadgets like Apple Watch and Fitbit can leverage human activity data to detect serious health conditions such as the possibility of hypertension and sleep disorder.
According to the report, deep neural network (DNN) is powerful enough to predict conditions like sleep apnea and hypertension based on insights
gained from heart rate and steps taken.
As more healthcare businesses join the hands of AI, decision-making gets better. As a result, staff efficiency in admin and financial fields also goes up. AI also plays a major role in transforming supply chain activities by automating many stages and parts of supply chains and regulatory compliance. Repetitive human interactions present in healthcare systems across the world can be executed with help of AI-powered applications and machine learning capabilities as PWC report confirms.
Healthcare settings have started using AI-based solutions to create personalized 3D models specific to patients’ conditions. For instance, Cardiologists may rely on AI technology to notice the effect of a serious blockage on the blood flow and ascertain the possible treatment. Testing for cardiac conditions is a complicated, risky process, that might cause stroke or blood vessel damage. Therefore, it is important to consider AI that processes the scanned image of the concerned heart to build its 3D model. Combined with ML algorithms, the technology can aid in understanding how blockage restricts a patient’s blood flow.
Since data is key to successful AI results, the technology also works well in the pharmaceutical space. From medical reports to drugs, the power of AI could be effective even in the medical research and innovation sector. As a report by McKinsey implies, by optimizing the efficiency of innovation and clinical research, machine learning and big data can contribute to well-informed decisions, making the R&D process faster and less expensive. From identifying major compounds affecting research success to automating reporting and data analysis, AI is helpful for pharmaceutical research events.
AI seems to touch healthcare industry and digital transformation worldwide in ways we never imagined before. On the cutting-edge modern scenario of medical innovations and treatments, AI has achieved quite a position on a global scale. From automation to correct early diagnosis of severe infections and forecasting cancer, AI has unleashed its potential for transforming the existing healthcare status quo.