As medical science improved rapidly, so did life expectancy around the world. Yet as longevity increases, health systems face increasing demand for advanced services, increased costs, and a workforce struggling to meet the diverse needs of patients. Demand is driven by many unstoppable forces: a change in lifestyle choices, a change in patient expectations, an aging population and a continuous cycle of innovation are just some of the others.

CHALLENGES FACING THE HEALTH INDUSTRY
According to Mckinsey, one in four people in North America and Europe will be over the age of 65 by 2050. This shows that the healthcare industry will soon have to deal with more patients with more complex requirements. Hospitality for these patients is expensive and requires health systems to provide long-term focused and proactive care. For health systems to remain sustainable, major transformational and structural changes are needed.

The industry also needs a larger workforce because, according to the World Health Organization (WHO), there is a shortage of approximately 9.9 million nurses, doctors and midwives globally. In addition to attracting, training, and retaining these healthcare professionals, you must ensure that their time and effort add value to patient care. The use of solutions powered by modern technologies, such as artificial intelligence (AI) in the healthcare industry, will add perfection and greater value to human efforts.

AI in the healthcare industry has the potential needed to transform and revolutionize the healthcare industry by addressing the aforementioned challenges in the industry. AI can improve outcomes, improve efficiency, and increase productivity in health care delivery. This article discusses in detail the impact of artificial intelligence on health care.

INFLUENCE AND IN THE HEALTH INDUSTRY
In the coming years, AI in the healthcare industry will improve the daily lives of healthcare professionals, expand the patient experience, improve care delivery, and may even facilitate life-saving treatments and revolutionize the industry. In addition, AI will improve population health management, health, operations, and strengthen innovation.

According to Statistics, the global AI healthcare market will increase to more than $ 28 billion by 2025. Here is a detailed overview of the areas where and how artificial intelligence will be influential in the healthcare industry.

CHRONIC CARE MANAGEMENT
Chronic diseases, such as cancer, diabetes, and kidney disease, are the leading cause of disability and death in the U.S. and the main drivers of annual health care costs in the country. Effective management of various chronic diseases is a comprehensive and long-term process. But with the right tools, healthcare providers can meet the needs of these patients without delay.

Artificial intelligence tools in the healthcare industry can help healthcare professionals overcome the complexity of chronic disease management and make it more effective and provide quality treatment. Organizations are increasingly using AI in the healthcare industry to improve chronic disease management, improve patient health, and reduce costs, which will ultimately result in personalized data-based care. Artificial intelligence in the healthcare industry is expected to move the industry towards proactive care delivery from reactive and lead the industry to provide more individualized treatments. This is just one of the ways in which AI in the medical industry will revolutionize the management of chronic care in hospitals.

CARE DELIVERY
Artificial intelligence in the healthcare industry is changing the way care is provided; it is expected to make health care more efficient, accurate and accessible. Reducing costs and improving health outcomes are values ​​that health systems and hospitals try to provide to patients on a daily basis. Hospitals are increasingly incorporating technologies driven by the use of artificial intelligence in healthcare to meet the challenge.
According to the American Hospital Association (AHA), artificial health intelligence has unlimited potential to solve most of the challenges facing the industry. They identify cases of the use of artificial intelligence in the healthcare sector in four broad areas, which are administrative, operational, financial, and clinical areas.

Administrative use cases of artificial intelligence in healthcare

• Access procedures
• Scheduling of appointments
• Customer service responses
• Disassembly instructions
• Remuneration and induction protocols
• License Verification
• Patient check-in
• Prior authorizations
• Quality measurement reporting

Cases of the use of artificial intelligence in healthcare

• Inventory management
• Materials management
• Supply chain management
• Facility management

Economic uses of artificial intelligence in healthcare

• Invoicing and collections
• Claims management
• Insurance eligibility check
• Business cycle management

Clinical cases of artificial intelligence in healthcare

• Proactive technology
• Intervention technologies

By integrating and leveraging these scales with artificial intelligence in the healthcare industry, the industry can be transformed to the next generation level in an instant. It will also allow healthcare professionals to focus more on patients, which would ultimately help improve staff morale and improve resilience.

CLINICAL DECISION SUPPORT
Recent advances in artificial intelligence in healthcare can improve the clinical decision support tools (CDS) currently used to improve value-based imaging and patient safety. According to the National Institutes of Health (NIH), synergies between health care CDS systems and artificial intelligence can:

• Reduce friction in radiology workflows
• Easily identify relevant imaging features
• Create structured knowledge to develop machine learning algorithms
• Possible development cooperation towards decision-making from a holistic patient perspective
• Propose imaging studies in complex clinical situations
• Help identify suitable imaging opportunities
• Suggest appropriate individual screening
• Help healthcare professionals ensure continuity of care

Artificial intelligence in health care is qualified to make CDS the next generation, to enhance the experience of radiologists and service providers, and to improve patient care.

DIAGNOSTICS
Slowly but surely, artificial intelligence is improving almost every aspect of human life through innovation and progress. The latest is that artificial intelligence in healthcare is entering the medical diagnostics revolution by providing accurate risk assessments, accelerating disease detection, and improving hospital productivity. Image recognition technology improves the workflow of radiologists by automatically prioritizing emergencies and speeding up reading time. It even helps prevent disease by detecting diseases at an early stage.

In medical imaging, such as X-rays, magnetic resonance imaging, and CT scanning, artificial intelligence-guided software can be effectively used to accurately detect the signs of many diseases, especially many chronic diseases, such as cancer. According to the NIH, artificial intelligence is widely used in health care, especially in a variety of tasks such as patient engagement and compliance, diagnosis, and treatment recommendations. So there is no doubt that artificial intelligence in healthcare will revolutionize the diagnostic process in the years to come by detecting diseases, classifying diseases, and improving the decision-making process. The use of artificial intelligence in healthcare makes people live longer.

TRIAGE AND DIAGNOSIS
Artificial intelligence can be used effectively for automatic case classification. Artificial intelligence algorithms analyze cases and forward cases to pathologists after determining priority based on the probability of the cases according to criteria set by the laboratories. This makes the workflow of pathologists easier and more efficient. Through the process, the algorithm is able to:

• Make sure the digital images attached to the case belong to that case
• Confirm the organized tests and correspond to the sample type
• Identify cases marked as status
• Identify cases that may be positive or likely to be negative

In addition, artificial intelligence technologies in healthcare can be effectively used to produce more accurate and faster diagnoses. This will speed up the whole classification and diagnosis process and is expected to revolutionize healthcare soon.

OUTLOOK FOR AI IN THE HEALTHCARE SECTOR
In the coming years, artificial intelligence in health care will have the best potential in hybrid models to support physicians in diagnosis, identification of risk factors, and treatment planning. This scale will lead to faster adoption of artificial intelligence technology in healthcare, demonstrating measurable improvements in operational efficiency and patient outcomes.