With the rapid progress of medicine, life expectancy around the world is also increasing. Yet, as lifespan increases, healthcare systems face increasing demand for advanced services, increased costs, and the labor struggle to meet the various patient requirements. Demand is driven by many unstoppable forces. Changes in lifestyle choices, changing patient expectations, aging populations, and endless cycles of innovation are among the few.

Challenges facing the healthcare industry
According to McKinsey, one in four people in North America and Europe will be 65 or older by 2050. This soon indicates that the healthcare industry will have to deal with more patients with more complex requirements. Catering to these patients is costly and requires a healthcare system to provide long-term, intensive and proactive care. To maintain sustainability, the healthcare system requires major changes and structural changes.

According to the World Health Organization (WHO), the industry needs more workforce due to the shortage of about 9.9 million nurses, doctors and midwives worldwide. Apart from attracting, training and retaining these healthcare professionals, we also need to ensure that their time and effort add value to the care of their patients. The healthcare industry adds perfection and value to human efforts by leveraging solutions that leverage the latest technologies such as artificial intelligence (AI).

AI in the healthcare industry has the potential needed to transform and revolutionize healthcare by addressing the industry challenges mentioned above. AI can improve outcomes in healthcare delivery, improve efficiency, and increase productivity. This article details the impact of AI on healthcare.

Impact of AI on the healthcare industry
Over the next few years, AI in the healthcare industry will revolutionize the industry by improving the daily lives of healthcare professionals, improving patient experiences, improving care delivery, and even promoting life-saving therapies. can do. In addition, AI will improve population health management, operations and enhance innovation.

According to Statista, the global AI healthcare market will grow to over US $ 28 billion by 2025. Here's a closer look at the areas and ways AI in the healthcare industry can impact.

Chronic care management
Chronic illnesses such as cancer, diabetes and kidney disease are the leading causes of disability and death in the United States and a major factor in annual medical costs in the United States. Effective management of a variety of chronic illnesses is a comprehensive and long-term process. However, with the help of the right tools, healthcare providers can meet the needs of these patients without delay.

Artificial intelligence tools in the healthcare industry help healthcare providers overcome the complexity of chronic disease management, make it more effective, and provide quality treatments. AI in the healthcare industry is increasingly being used by organizations to improve the management of chronic diseases, enhance patient health and reduce costs. AI in the healthcare industry is expected to move the industry from reactive to proactive care delivery, leading the industry in providing more personalized therapies. This is just one way AI in the healthcare industry will revolutionize the chronic care management of hospitals.

Care delivery
Artificial intelligence in the healthcare industry is changing the way care is delivered. It is expected to make healthcare more efficient, accurate and accessible. Reducing costs and improving health are the values ​​that healthcare systems and hospitals are trying to provide to patients every day. Hospitals are increasingly embracing technology. Technology uses AI in healthcare to meet challenges.

According to the American Hospital Association (AHA), AI in the healthcare industry has endless possibilities to solve most of the industry's challenges. They identify AI use cases in the healthcare industry in four broad areas: management, operations, finance, and clinical.

AI management use cases in the healthcare industry

•Admission procedure
• Schedule scheduling
• Customer service response
• Discharge procedure
• Recruitment and orientation protocols
• License verification
• Patient check-in procedure
• Pre-approval
• Quality measurement report

AI operational use cases in the healthcare industry

• Inventory control
• Material management
• supply chain management
• Staffing

AI financial use cases in the healthcare industry

• Billing and collection
• Claim management
• Insurance eligibility verification
• Revenue cycle management

AI clinical use cases in the healthcare industry

• Prediction technology
• Intervention technology

By incorporating these scopes into AI in the healthcare industry, we can quickly transform the industry to the next generation level. It also allows healthcare professionals to focus more on their patients, ultimately helping to boost staff morale and retention.