OPH Health Founder Leona Tong Named to 2026 Forbes China 100 Most Influential Chinese Selection

Leona Tong's recognition as a Forbes China honoree highlights OPH Health's integrated medical device, software and AI approach to strengthening primary care across more than 10 countries.

Dallas Metrowire Staff
••Healthcare
OPH Health Founder Leona Tong Named to 2026 Forbes China 100 Most Influential Chinese Selection

Leona Tong, founder and CEO of Singapore-based digital healthcare company OPH Health, was selected for the 2026 Forbes China 100 Most Influential Chinese Selection, an award announced via Media OutReach Newswire. The recognition places the OPH Health founder among honorees spanning technology, healthcare, business, investment and sports, and underscores the growing relevance of integrated primary care models in international markets.

The selection matters because it signals investor and industry attention on a segment of healthcare that is often fragmented. Primary care services frequently suffer from uneven access to specialist expertise and gaps between screening, treatment and follow-up. OPH Health addresses this by combining medical devices with clinical software to connect care across communities, clinics, hospitals and homes. Since founding the company in Singapore in 2023, Tong has led an international team experienced in large-scale primary healthcare projects and expanded OPH's operations into more than 10 countries and regions through collaborations with governments and healthcare organizations.

OPH's approach integrates health assessments, telemedicine and clinical software to help providers coordinate screening, referrals and chronic disease follow-up. This extends care beyond individual appointments and creates a clinical data foundation for medical AI development. For public health systems, the company provides integrated solutions for community screening, referrals between levels of care and regional health information sharing, supporting national primary healthcare programs. For private healthcare groups, it integrates health assessments, telemedicine and chronic disease management into digital clinic and care management solutions. OPH adapts these tools to local needs, from building primary care capacity in less-developed countries and regions to supporting clinics and community health services in developed markets.

At the frontline, OPH's primary care workstations bring together screening, outpatient care, chronic disease management and telemedicine while capturing clinical data. Capsule Clinic provides community-based health assessments and remote consultations and, when paired with Smart Pharmacy, supports prescription medication pickup. Portable spirometers and companion software support lung function testing and follow-up. In Singapore's public polyclinics, the VIOLA system's vaccine cabinet and management software help nurses monitor temperatures, verify vaccine retrieval using computer vision, and track inventory and expiration dates, with frontline nursing teams contributing to its development.

The Forbes recognition also highlights OPH's longer-term ambition: a distributed medical AI system linking medical devices, clinical software and large AI models. The company is integrating data from clinic workstations and home monitoring devices into consultations, referrals and follow-up, with AI servers at clinics and hospitals intended to run models locally to assist with clinical documentation, report interpretation and clinical decision-making. Clinicians would review AI outputs before inclusion in medical records. OPH is also expanding capacity to maintain a health digital twin for each person, a digital profile updated with test results, clinician-verified records and monitoring data. AI assistants for clinicians and individuals would support care plans, reminders and follow-up between visits. Such features, derived from clinical data and feedback, could support model training and improvement subject to authorization and quality review, with model updates requiring validation and approval before clinical use. With raw data processed locally under appropriate controls, the system is designed to connect ongoing care with medical AI development, an implication that could shape how primary care systems adopt AI responsibly.

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