The role of AI: healthcare industry
AI is getting more advanced in taking over human roles with fast execution and lower cost. Just like AI is used in our everyday lives, it’s increasingly part of our healthcare system from automating drudgery, medical practices, managing patients, medical resources, and many more. Many people think about ‘robot’ when we mention the word AI, but in reality, AI in healthcare refers to hospitals accessing data sets that could potentially save lives; this includes but not limited to treatment methods, survival rates, outcomes, speed of care, etc.
New computing power can analyze trends in data ranging from small to big, enabling prediction through machine learning that’s designed to identify potential outcomes. Machine learning uses statistical techniques to allow computer systems to the ability to learn with incoming data and also to identify patterns, with little or even no human intervention. hospitals have been collecting data over decades and with the power of AI technology, the data can be processed into something beneficial for the patients. From a patient's perspective, AI allows doctors to personalize care. Doctors now can easily diagnose multiple patient’s reactions to the same disease by looking at the data about the same disease on other patients. Machine Learning and AI allow doctors to access all relevant data and unlock the complete real-time information, this technology allows deeper analysis that the human brain couldn’t tap in, but computers can.
According to Accenture analysis, the combination of key clinical health AI applications is expected to create at least $150 billion in annual savings for the United States healthcare economy by 2026, robot-assisted surgery has the highest value of $40 billion, followed by the virtual nursing assistant of $20 billion, and the least value would be cybersecurity of 2 billion. Tapping into the power of data will bring out big innovations, even though AI and algorithms have been around for a while, the healthcare industry is still learning to collect and organize data in a better way. The previous decade focused on molecular biology: the researchers sequenced DNA and identified its association. Top hospitals across the globe are now using AI and Machine Learning with the focus on improving health care, with health data being interconnected, our world is increasingly wired and becoming forever linked.
Benefits of AI in healthcare
The benefits of technology touching almost every aspect of human lives, healthcare is one of the areas that have the most gain from the use of technology. Technology has saved millions of lives and improved our quality of life, it contributes to many aspects of the healthcare industry from providing more accessible treatment, improving surgical accuracy, developing disease control software, and the list goes on.
Digitalization of health records
Replacing the traditional paper-based health records with electronic health records (EHR) is a real game-changer in the healthcare industry. Not only that it allows patients to access their health records easier, but this successfully increases accuracy, no more critical errors left uncaptured. Improve patient care: with the use of EHR, it’s now possible to send alerts to the physician regarding a potential issue. This is favorable for the patient’s treatment. According to Business Insider research, 30% of the healthcare industry associated with administrative tasks, AI can automate these tasks such as pre-authorizing insurance, follow up unpaid bills, and maintain the records in order to reduce the work of healthcare professionals.
Pushing boundaries of human performance
The main advantage of using medical AI is to do things that even the most expert human can’t yet do. For instance, Google Health has developed a program that can predict the onset of kidney up to two days before any injury occurs. Compare this advancement to the current medical practice, the injury is usually noticeable when it actually happens. AI technology pushes the boundaries of human capabilities, to improve care beyond what’s possible.
Equalizing medical knowledge
AI is also able to share the knowledge and expertise of one specialist to support other professionals who might lack that expertise. Such Ophthalmology and Radiology are popular targets as AI-image analysis has been the focus of the development. AI could provide programs that utilize the image of the human eye to diagnose the disease that would otherwise need an ophthalmologist. By using this program, a general practitioner, technician, or even the patient can identify the problem and reach to the conclusions. Such equalization is changing the industry and making it more efficient for the patient as expertise is relatively rare.
Almost every individual has access to the device with sensors that can collect important data about the user’s health, there are smartphones and wearable that can track steps, sleeping pattern, heartbeat, etc. A growing proportion of health is generated on the go. Collecting and analyzing these data through the app or home device provide a unique perspective for population health. These devices will bring a major impact on the industry, our health care has been occasional and with these device’s ability, monitoring patient’s health on regular daily basis is made possible, the data will definitely bring out the accurate actions for professionals.
AI provides the basis of evolution in healthcare industry by powering predictive analytics and clinical decision support tools that hint providers into problems far before they might realize the need to act. AI can provide early warnings for certain conditions that normally require intense analysis of complex datasets. Transform your business with AI technology, learn more about AI platformhere