AI adds wings and deepens the internationalization
Posted: Mon Feb 10, 2025 10:33 am
In the future, Aidikang hopes that in five or ten years, the To C business will become an important business segment of the company.
The next five-year plan begins:
Glodon: In the past year, the ICL industry as a whole has faced multiple pressures from the economy, market and policies. However, we can see that the company's development has been very stable both in terms of business and performance, demonstrating resilience in growing against the trend. So has the company made any adjustments to its development strategy in the past two years?
Gao Song: In 2025, we have entered the second five-year development strategy stage of Carlyle's acquisition of the company, which is mainly reflected in six aspects.
First, focus on six key disease areas to create special inspection products with greater medical value; second, strengthen IT infrastructure and realize digital, information and intelligent transformation; third, deeply lawyer data improve service capabilities and promote the strengthening and expansion of co-construction businesses; fourth, retain core customers, develop high-quality and high-end customers, and increase market share; fifth, layout production capacity in a tiered manner to maximize economies of scale; sixth, strengthen supply chain management and the use of new technologies to continuously improve operational efficiency.
Glodon: In recent years, there has been a huge upsurge in the application of AI in various industries. Under this trend, how does Aidikang improve service quality and efficiency through innovations such as AI technology? What are the specific measures and results in cost control and operational efficiency? What plans do you have for technological innovation in the next few years to cope with industry policy adjustments and changes in market demand?
Gao Song: At present, Aidikang's achievements in AI application are mainly reflected in auxiliary diagnosis and data analysis, especially in pathology reading. AI application has significantly reduced costs because compared with manual reading, machine reading avoids the decline in efficiency and quality caused by fatigue, showing good application prospects. As I mentioned before, the application results of AI in special inspection business are very significant.
The next five-year plan begins:
Glodon: In the past year, the ICL industry as a whole has faced multiple pressures from the economy, market and policies. However, we can see that the company's development has been very stable both in terms of business and performance, demonstrating resilience in growing against the trend. So has the company made any adjustments to its development strategy in the past two years?
Gao Song: In 2025, we have entered the second five-year development strategy stage of Carlyle's acquisition of the company, which is mainly reflected in six aspects.
First, focus on six key disease areas to create special inspection products with greater medical value; second, strengthen IT infrastructure and realize digital, information and intelligent transformation; third, deeply lawyer data improve service capabilities and promote the strengthening and expansion of co-construction businesses; fourth, retain core customers, develop high-quality and high-end customers, and increase market share; fifth, layout production capacity in a tiered manner to maximize economies of scale; sixth, strengthen supply chain management and the use of new technologies to continuously improve operational efficiency.
Glodon: In recent years, there has been a huge upsurge in the application of AI in various industries. Under this trend, how does Aidikang improve service quality and efficiency through innovations such as AI technology? What are the specific measures and results in cost control and operational efficiency? What plans do you have for technological innovation in the next few years to cope with industry policy adjustments and changes in market demand?
Gao Song: At present, Aidikang's achievements in AI application are mainly reflected in auxiliary diagnosis and data analysis, especially in pathology reading. AI application has significantly reduced costs because compared with manual reading, machine reading avoids the decline in efficiency and quality caused by fatigue, showing good application prospects. As I mentioned before, the application results of AI in special inspection business are very significant.