Roughly 85 percent of healthcare leaders from 14 countries around the world are either investing in or planning to invest in artificial intelligence (AI) technologies. Why? To streamline processes and reduce delays in patient care. 

Americans might not boast the best healthcare system, but many lesser developed nations encounter more substantial challenges in access to care. There are 4.5 billion people globally without access to essential healthcare services. Other countries are facing staffing inadequacy, too, with a healthcare worker shortage of 10 million expected by 2030. 

Along with the United States, healthcare organizations in many of these nations, including India, are employing AI to enhance service delivery, improve patient outcomes and drive economic growth. These are their stories. 

ARMMAN 

The healthcare challenges in India are substantial. This South Asian country has only 64 doctors available per 100,000 people compared to a global average of approximately 150 per 100,000. This physician shortage and a lack of critical infrastructure are particularly dire in rural areas, which are home to more than 70 percent of the Indian population. 

India-based non-profit ARMMAN is addressing these obstacles by leveraging AI. The organization utilizes AI algorithms to predict the risk of women dropping out of healthcare programs such as mMitra, a service that sends critical preventive care information to pregnant women and new mothers via voice calls. 

By allowing for tailored interventions that ensure timely support for pregnant women and new mothers in India, this program improves maternal and child health outcomes in India. ARMMAN has reduced the risk of drop-offs by up to 32 percent and effectively identifies risk factors associated with them. The targeted approach ensures that India’s limited rural healthcare resources are used efficiently, maximizing the impact on patient care. 

NITI Aayog 

According to the World Economic Forum, AI is expected to add $1 trillion to India’s economy by 2035, with expenditure projected to reach $11.78 billion by 2025. Their initiatives not only improve healthcare outcomes but also boost economic growth, highlighting the advantages of AI in developing countries. 

NITI Aayog, a public policy think tank linked to the Indian government, is spearheading several AI projects aimed at enhancing primary care. Their initiatives focus on detecting diabetes complications early and improving eye care through advanced diagnostic tools. By comparing AI’s diagnostic accuracy with that of retina specialists, NITI Aayog is validating the effectiveness of AI as a screening tool in eye care and enhancing the potential for timely medical intervention. 

The U.S. Food and Drug Administration (FDA) 

The FDA is employing AI to streamline drug discovery and approval processes, thereby accelerating the introduction of medical products to the market and improving public health outcomes. By analyzing large datasets, AI can help the agency identify potential drug candidates faster than traditional methods to accelerate the process, resulting in patients gaining quicker access to innovative treatments. 

AI technologies are being used to enhance the FDA’s internal operations — specifically,  increasing productivity and efficiency, automating workflows and streamlining processes. Solutions equipped with AI enable the agency to respond more rapidly to emerging public health challenges, a proactive approach that ensures it maintains high standards of patient safety while promoting innovation in the development of new medical products. 

The AI Council established by the FDA clarifies regulatory approaches for clinical trials involving artificial intelligence. This approach verifies that such AI technologies meet the rigorous safety and efficacy standards required for drug approval workflows. 

Covered California 

Covered California, the state’s health insurance marketplace, reviews more than one million documents annually to determine eligibility for healthcare subsidies. To streamline its operations and enhance its consumer experience, the organization harnesses an AI-powered platform that automates parts of its documentation and verification process for California residents looking for health coverage. 

The AI platform assists more than 5,000 Covered California insurance agents and enrollment coordinators by automating previously manual processes, such as completing applications and certifications online. Through this automation of repetitive tasks, AI allows its employees to focus on more complex activities and provide better support to the state’s applicants. 

Since Covered California implemented the AI-based program, it has achieved a document verification rate of 80 to 96 percent, depending on the document type, for an average of 84 percent. The organization’s previous solution had a completion rate of only 18 to 20 percent.  

ADAPT-SC 

Funded by a five-year, $20 million grant from the National Science Foundation (NSF), the ADAPT-SC initiative was established with the goal of enhancing the application of AI in healthcare diagnostics and treatment through the development of AI-enabled biomedical devices, educational expansions and interdisciplinary collaborations. One of the key aspects of this initiative is its emphasis on integrating AI training into existing healthcare education programs. 

By bringing together experts from various fields, ADAPT-SC aims to create a robust ecosystem that supports the widespread adoption of AI in healthcare. As the Established Program to Stimulate Competitive Research (EPSCoR) notes, the initiative will benefit the State of South Carolina through leadership and national prominence in healthcare AI; an AI-literacy campaign to promote the use of artificial intelligence in addressing healthcare disparities; social awareness of the importance of AI in precision medicine; and professional competency in AI through continuing education credits for healthcare professionals. 

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