The global healthcare crisis
Where the Crisis is Most Visible
Starting with Indonesia
Healthcare remains a privilege, not a guarantee, for billions worldwide.
Global Healthcare Worker Distribution
22.7
healthcare workers / 1,000 people (2023)
Global urban population of 4.62B
Global population of healthcare workers in urban areas: 104.72M
8.9
healthcare workers / 1,000 people (2023)
Global rural population: 3.48B
Global population of healthcare workers in rural areas: 31.28M
Healthcare Workforce and Technology Gaps in Key Countries
Economic Impact of the Healthcare Crisis
How Big is the Problem?
Use The Visualizer to see the Impact of Our Interventions
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What’s Causing the Healthcare Gap?
Healthcare disparities aren’t just numbers, they stem from deep-rooted challenges that vary across regions.
Lack of Healthcare Infrastructure
Many countries struggle with outdated hospitals, limited medical equipment, and insufficient healthcare facilities, making even basic care inaccessible
Uneven Distribution of Healthcare Workers
While urban centers attract most doctors, rural and underserved areas are left behind, with far fewer healthcare professionals per capita
High Out-of-Pocket Costs
Without strong public insurance systems, millions must pay for healthcare out of pocket, making treatment unaffordable for low-income families
Limited Digital Health Adoption
From poor internet connectivity to low digital literacy, many regions lack the tools to implement Digital Health and AI-driven health solutions
Geographical Challenges
Remote villages, island nations, and mountainous regions face major logistical barriers, forcing patients to travel long distances for medical services
The takeaway? Whether it’s a lack of doctors, poor digital health unaffordable treatment, or a variety of other factors...
healthcare gaps exist everywhere.
What Works?
Indonesia & India
Two of the world’s most populated countries face similar problems
Doctor Shortages:
Indonesia and India has only 0.7 doctors per 1,000 people. This makes access to healthcare challenging, especially in remote regions.
Limited Digital Health Adoption:
Poor internet infrastructure and low digital literacy in Indonesia hinder Digital Health expansion, while in India, Digital Health is growing in cities but remains inaccessible in rural areas.
Low Healthcare Spending:
Indonesia spends only $126 per capita, and India spends even less at around $74—significantly lower than developed countries.
Insurance & Subsidies Reduce Costs:
Unlike Indonesia and India, healthcare in Singapore and Australia is highly subsidized, minimizing direct patient expenses.
Singapore & Australia
Singapore and Australia have established strong healthcare models with advanced technology
More Doctors per Population:
Singapore has 2.8 doctors per 1,000 people (2023), while Australia leads with 3.98 (2021)—ensuring better patient access.
Digital Health & AI Integration:
Both countries leverage AI-powered Digital Health and electronic health records for efficient and accessible healthcare.
High Out-of-Pocket Costs:
Indonesians pay 27.5% of their healthcare expenses out of pocket, while in India, this number skyrockets to 82%, making healthcare unaffordable for many.
Higher Healthcare Investment:
Singapore spends approximately $3,936 per capita, while Australia invests even more at $5,187, ensuring quality services.
How Do We Bridge The Gap?
The answer isn’t imitating advanced systems, but
Implementing technology in regions where need meets readiness
Why Indonesia is the Best Place to Start?
Indonesia isn’t just a case study, it’s the ideal place to launch real healthcare solutions.
A massive (4th most populous country in the world), diverse population (urban & rural mix) needing accessible care.
Existing universal healthcare (BPJS) that can be strengthened with innovation.
A rapidly growing digital health sector ready for AI driven health technology (Health insurance coverage is 76% in urban areas and 65% in rural areas).
We’re building a scalable model
By launching here, we’re not just incubating a solution, we’re building a scalable model that can bring accessible healthcare to underserved communities worldwide.