Introduction
As Artificial Intelligence (AI) continues to shape the way we work and live, we must ensure that we are tapping into its full potential when it comes to the healthcare space. By leveraging its unique capabilities to address the accessibility barriers that we see in our healthcare centres in the APAC region, we can equip policymakers and industry leaders with the knowledge, tools, and information to change and democratise our healthcare systems.
The Impact of AI on Healthcare
The healthcare sector, like many others, has not been immune to the technological shift brought about by AI. It is predicted that AI and generative AI could contribute to around $100 billion in savings for the already burdened healthcare sector. However, the applications and potential of the technology expand beyond just enhancing efficiency for day-to-day tasks. AI has shown great promise in reducing barriers to access for healthcare knowledge and supporting complex data analysis in drug trials and research.
The Asian Context
Historically, the healthcare sector in Asia highlights social and economic disparities. Approximately 1.6 billion people in Asia and the Pacific lack effective access to social health protection due to various legal and systemic issues. Infrastructure challenges in less developed economies mean that local healthcare centres are often unable to accommodate patients in need. In low- to middle-income countries, a person in need of medical care competes for the attention of just 1.1 doctors and less than 2 nurses per 1000 people.
Addressing Health Literacy
A study revealed that up to 81% of individuals living with non-communicable diseases in South Asia have inadequate health literacy. In China, about 28% of adults were able to demonstrate adequate health literacy in 2022, with disparities among provinces. These regional differences highlight the unmet needs that must be addressed.
The AI Solution
AI and automation can alleviate issues related to workforce shortages. Remote monitoring and telehealth tools provide streamlined ways for patients and doctors to attend consultations and access medical data, breaking down accessibility barriers. These tools enhance patient engagement and can help manage chronic conditions by making data readily available for review.
Collaborative Efforts
AI developers and medical personnel must collaborate with patient groups, policymakers, and the wider healthcare industry to understand how best to serve community needs. In a diverse region like APAC, a hyper-local approach is essential. The Alliance & Partnerships for Patient Innovation & Solutions (APPIS) platform exemplifies successful collaboration in improving healthcare access.
Conclusion
AI has the potential to transform healthcare access, but it requires a wealth of data and ethical guidelines to ensure patient safety and objectivity. Addressing societal disparities and ensuring bias-free data will be critical in leveraging AI effectively in healthcare.
Source: BioSpectrum Asia
Adam Chee, Associate Professor, Saw Swee Hock School of Public Health, National University of Singapore
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