As medical science improves rapidly, life expectancy worldwide has also risen. Still, as longevity increases, healthcare systems face increasing demands for higher services, higher costs, and a workforce that is struggling to meet the diverse demands of patients. Demand is driven by many unstoppable forces: change in lifestyle choices, changing patient expectations, population aging, and an endless cycle of innovation are few among others.

CHALLENGES FACTED BY THE HEALTHCARE INDUSTRY
According to Mckinsey, one in four people in North America and Europe will be over 65 by 2050. This shows that the healthcare industry will soon have to deal with a larger number of patients with greater requirements complex. Providing for these patients is expensive and requires health systems for providing focused, long-term, proactive care. To remain sustainable, healthcare systems need major transformational and structural changes.

The industry also needs a larger workforce because according to the World Health Organization (WHO), globally there is a shortfall of around 9.9 million nurses, doctors and midwives. Apart from attracting, training and retaining these healthcare professionals, you must also ensure that their time and effort adds value to patient care. Applying the solutions powered by modern technologies, such as Artificial Intelligence (AI) in the healthcare industry, will add perfection and more value to human endeavors.

AI in the healthcare industry has the potential required to transform and revolutionize healthcare by addressing the industry challenges mentioned earlier. AI can improve outcomes, improve efficiency, and increase productivity in healthcare delivery. This article looks in detail at the impact of AI in healthcare.

IMPACT OF AI IN THE HEALTHCARE INDUSTRY
In the coming years, AI in the healthcare industry will improve the daily life of healthcare practitioners, enhance the patient experience, improve the delivery of care, and may even facilitate life-saving treatments and revolutionize the industry. In addition, AI will improve population health management, operations, and strengthen innovations.

According to Statista, the global AI healthcare market will grow to more than US $ 28 billion by 2025. Here is a detailed snapshot of the areas where and how AI in the healthcare industry will be effective.

CHRONIC CARE MANAGEMENT
Chronic diseases, such as cancer, diabetes, kidney diseases, are the leading cause of disability and death in the US and the major drivers of the country's annual health cost. Effective management of various chronic diseases is an overarching and long-term process. But with the help of the right tool, healthcare providers can meet the needs of these patients without delay.

Artificial intelligence tools in the healthcare industry can help healthcare providers overcome the complexities of chronic disease management and make it more effective and provide quality treatment. AI in the healthcare industry is increasingly being driven by organizations to improve chronic disease management, improve patient health, and reduce costs, which will also ultimately lead to data-driven care and personalization. AI in the healthcare industry is expected to move the industry towards proactive care from a reactive one and lead the industry to provide more individualized treatments. This is one of the ways AI in the medical industry is going to revolutionize the management of chronic care in hospitals.

DELIVERY OF CARE
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 outcomes are the values ​​that health systems and hospitals try to bring to patients every day. Hospitals are increasingly incorporating technologies, powered by the use of AI in healthcare to meet the challenge.

According to the American Hospital Association (AHA), AI in the healthcare industry has unlimited potential to solve most of the vexatious challenges in the industry. They identify the causes of AI use in the healthcare industry in four broad areas, administrative, operational, financial and clinical.

Administrative Use Cases for AI in the Healthcare Industry

• Admissions procedures
• Scheduling appointments
• Customer service responses
• Release instructions
• Hiring and orientation protocols
• Check license
• Patient login procedure
• Previous authorizations
• Reporting on quality measurement

AI Functional Use Cases in the Healthcare Industry

• Inventory management
• Materials management
• Supply Chain Management
• Facilities management

Financial Use Cases for AI in the Healthcare Industry

• Bills and collections
• Claims management
• Check insurance eligibility
• Revenue cycle management

Causes of Clinical Use of AI in the Healthcare Industry

• Predictive technologies
• Intervention technologies

By incorporating and using these scopes with AI in the healthcare industry, the industry can be transformed into next-gen level in no time. It also allows healthcare practitioners to become more patient-focused, which would ultimately help raise staff morale and improve retention.