OPH Health Founder Leona Tong Honored in Forbes China 100 Most Influential Chinese Selection

Leona Tong, founder and CEO of Singapore-based OPH Health, was selected for the 2026 Forbes China 100 Most Influential Chinese Selection, highlighting the growing impact of integrated digital primary care solutions across international markets.

AI Industry News Staff
••Healthcare
OPH Health Founder Leona Tong Honored in 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 by Media OutReach Newswire. The recognition matters because it spotlights a model of primary care that combines medical devices, clinical software and artificial intelligence—an approach that could reshape how health systems address fragmented services and uneven access to specialist expertise, particularly in underserved communities.

Tong founded OPH Health in Singapore in 2023 and leads an international team experienced in large-scale primary healthcare projects. Through collaboration with governments and healthcare organizations, she has driven the company’s expansion into more than 10 countries and regions. The Forbes selection, now in its sixth year, recognizes individuals across technology, healthcare, business, investment and sports; Tong joins this year’s honorees as a Value Creator.

The implications of this announcement extend beyond a single executive award. Primary care services are often fragmented, with uneven access to specialist expertise and gaps between screening, treatment and follow-up. OPH integrates medical devices and clinical software to connect care across communities, clinics, hospitals and homes. By combining health assessments, telemedicine and clinical software, the company helps providers coordinate screening, referrals and chronic disease follow-up—extending care beyond individual appointments and creating a clinical data foundation for medical AI development.

For public health systems, OPH provides integrated solutions for community screening, referrals between levels of care and regional health information sharing, supporting national primary healthcare programs. Connecting primary care facilities with hospitals helps extend access to specialist expertise and supports earlier detection of health risks, referrals and follow-up. For private healthcare groups, OPH integrates health assessments, telemedicine and chronic disease management into digital clinic and care management solutions, helping providers deliver ongoing care beyond individual consultations.

OPH’s frontline tools include primary care workstations that 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, it also supports prescription medication pickup. Portable spirometers and companion software support lung function testing and follow-up. Together, these tools help providers bring more services closer to patients.

VIOLA, used in Singapore’s public polyclinics, helps nurses monitor vaccine temperatures, verify vaccine retrieval using computer vision, and track inventory and expiration dates, maintaining traceable records of vaccine handling. Frontline nursing teams contributed to its development and refinement, with project support from OPH Health.

OPH is progressively enhancing its distributed medical AI system linking medical devices, clinical software and large AI models. As the system evolves, OPH is integrating data from clinic workstations and home monitoring devices into consultations, referrals and follow-up. AI servers at clinics and hospitals are intended to run models locally to assist with clinical documentation, report interpretation and clinical decision-making, with clinicians reviewing AI outputs before inclusion in medical records. The company is expanding the system’s 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. Features derived from clinical data, together with feedback, could support model training, evaluation and improvement, subject to authorization for the intended use and quality review, and model updates would require 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.

The recognition of Tong underscores the growing role of integrated digital primary care in advancing universal health coverage, making equitable, continuous, high-quality care more accessible across diverse markets.

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