Samjong KPMG: "The Era of AI and Big Data-Based Predictive Healthcare"

"The Future Unlocked by Data: The Era of Predictive Medicine" Report
Prevention and Personalized Management Through AI and Big Data
Acceleration of the Prevention-Centered '4P Medical Model'

The "Predictive Healthcare" industry, which leverages data and artificial intelligence (AI) to forecast and manage individual health conditions, is rapidly emerging.

The Concept of Predictive Healthcare. Samjong KPMG

"Predictive Healthcare: A Solution to Structural Challenges Such as Population Aging and the Rise of Chronic Diseases"

On November 11, Samjong KPMG released a report titled "The Future Unlocked by Data: The Era of Predictive Medicine," stating, "Medical services are shifting away from hospital-centered treatment systems toward patient- and consumer-centered prevention and personalized management frameworks." The report continued, "Home care and community-based health management services are expanding, and the role of medical institutions is also broadening from diagnosis and treatment to data analysis and preventive management."

The global digital health market is expected to see an average annual growth rate of around 14% in both the illness (diagnosis and treatment) and wellness (prevention and health promotion) sectors. In particular, the wellness segment is experiencing an average annual growth rate of 14.2% based on the number of users. The domestic market is also projected to maintain stable annual growth of 3.9%, centered on diagnostic devices and health management platforms.

Predictive healthcare refers to technologies that analyze an individual's genome, lifestyle habits, and medical records using AI and big data to predict the likelihood of disease occurrence and treatment response in advance. This is realized through the "4P Medical Model": Predictive, Preventive, Personalized, and Participatory. It is regarded as a core paradigm of future medicine that enables prevention before the onset of disease.

The report noted that predictive healthcare is emerging as a sustainable alternative for healthcare systems to address structural issues such as population aging, the rise in chronic diseases, and shortages of medical personnel. It also explained that, in the global market, collaborations among big tech companies, pharmaceutical firms, and medical institutions are rapidly commercializing AI-based diagnostics, digital monitoring, and telemedicine services.

"Combining Data Improves Predictive Accuracy and Accelerates Commercialization"

Samjong KPMG identified the following as key drivers for the industry's expansion: securing the reliability of medical data, clinical validation of AI models, and strengthening the integration of public and private data. In particular, the combination of hospital clinical data with data from personal wearable devices is expected to improve predictive accuracy and accelerate commercialization.

The report also emphasized that, for AI healthcare technologies to be fully adopted in clinical settings, it is essential to verify not only technological capabilities but also economic viability. Demonstrating cost-effectiveness in terms of reducing medical expenses and improving hospital operational efficiency is critical to enhancing industry credibility.

To this end, the report highlighted the need for a "Golden Standard" verification system involving collaboration among the government, corporations, and medical institutions. The government should institutionalize a joint public-private verification system to establish a foundation for the certification and utilization of AI medical technologies, while corporations and medical institutions should strengthen technological validation and institutional certification based on reliable clinical data.

Furthermore, the report suggested that, for industry expansion, it is necessary to enhance data interoperability, establish patient-centered integrated care systems, and revise regulations based on public-private cooperation. However, it also pointed out that the lack of data standards among hospitals, uncertainties in insurance and reimbursement systems, and the complexity of regulations surrounding personal and medical information remain major challenges that need to be addressed.

Data Utilization Structure of Predictive Healthcare. Samjong KPMG

Park Kyungsoo, Executive Director at Samjong KPMG, stated, "Predictive healthcare is not merely a technological innovation but a key field driving a fundamental transformation of the medical paradigm. If a reliable data ecosystem and institutional foundation are established, Korea could emerge as a leading country in the global digital healthcare market."

This content was produced with the assistance of AI translation services.