Artificial intelligence (AI) solutions in healthcare may seem a new concept but its relevance cannot be denied. The key stakeholders in the industry have shown keen interest in the capabilities of AI. This is because it has a significant advantage in diagnosis and treatment. According to research, the valuation of the AI healthcare market is projected to reach $187 billion in 2030. It is a clear sign of massive changes in the healthcare industry operation, patient care, and efficiency. Better access to data helps in improved decision-making and faster implementation of change. Different data access points such as genetic information, clinical studies, and health records are used to create a massive data collection system. The machine learning algorithm is employed to analyse, organize, and distribute data to key stakeholders (doctors, researchers, patients, and other medical providers).
AI Solutions in Healthcare Operations
From back-office operations to patient care, everything requires a streamlined flow to improve efficiency. AI solutions are implemented in all aspects to achieve patient-centricity in healthcare.
● AI and automation are used in streamlining administrative workflow. Automating mundane tasks such as clinical documentation, clinical details translation, medical records management, and billing can clear employees’ plates to redirect their energy for better patient care.
● AI virtual nursing assistants such as chatbots, apps, and other interfaces are increasingly used in patient care. Tasks like answering frequent questions, scheduling medical reminders, and booking doctor’s appointments can easily be carried out with AI-powered assistants.
● AI solutions are used by medical practitioners for less invasive surgeries, critical diagnosis, and other medical treatments. Real-time healthcare data helps in important decision-making and has a significant impact on patient engagement.
● AI solutions are also used for fraud prevention in healthcare. Unusual patterns in billing, insurance claims, and healthcare records can be easily recognized using them. It can help bring down the overall cost of consumer medical premiums and hospital expenses.
AI Solutions in Life Sciences
Life sciences solutions have a lasting impact on the healthcare system. It can help in research & development, advanced healthcare delivery, and medical innovation. AI techniques are used to get breakthroughs in digital science using innovative technology and trial design. Also, the real-world evidence collected using AI accelerates the drug development process. Pharmaceutical companies can reduce trial risks, costs, and time consumption, which can help in bringing innovative healthcare solutions to the market.
The vital information collected from different data sources speeds up the clinical research process. The design, strategy, and execution of these clinical research are achieved using real-world evidence and data science ability.
AI Solutions in Healthcare Diagnosis
Healthcare diagnosis is another domain where AI solutions perfectly fit in. They have a huge role in bringing down treatment costs and improving health outcomes. Critical information about a patient’s genetics, treatment history, and pharmacogenomics is known to be helpful in early detection of diseases. Medical practitioners use this information for devising the treatment plan.
AI’s role in the early detection of terminal illness can be a game changer in healthcare. For instance, according to recent research by the University of Hawaii, deep learning AI technology helps in breast cancer risk prediction.
Furthermore, the application of the AI model effectively predicts the need for human intervention in healthcare increasing alertness when needed. Another example of the potential use of AI is in detecting skin cancer and heart disease by comparing different skin images and echocardiograms, respectively.
The possibilities of AI intervention are endless making it the greatest ally of humankind, especially in healthcare. A major part of healthcare is preventive care and patient monitoring. It can dramatically affect the patient’s health. Besides this, deep learning and AI solutions are used in advanced medical devices and wearables to supply exact health data. Providing alerts and health monitoring becomes easy with this advanced solution. Whether it is connecting scattered healthcare data, streamlining tasks, better patient care, or any other aspect, AI solutions truly define connected healthcare.
