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, with the awards ceremony held on the evening of Oct. 29. Now in its sixth year, the annual selection recognizes individuals across technology, healthcare, business, investment and sports; Tong joins this year's honorees as a Value Creator. The recognition matters because it draws attention to a model of primary care that combines medical devices, clinical software and artificial intelligence to address fragmentation in health systems, and it signals the growing influence of Asian healthcare entrepreneurs in global discussions about care delivery.
Tong founded OPH Health in Singapore in 2023 and leads an international team with experience in large-scale primary healthcare projects. Through collaboration with governments and healthcare organizations, she has led OPH's expansion into more than 10 countries and regions. The company's work spans healthcare delivery infrastructure and medical AI, helping frontline providers access specialist resources and coordinate care. 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, OPH 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 adapts its solutions to local needs, from building primary care capacity in less-developed countries and regions to supporting clinics and community health services in developed markets.
On the frontline, 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, also supports prescription medication pickup. Portable spirometers and companion software support lung function testing and follow-up. VIOLA is used in Singapore's public polyclinics; its vaccine cabinet and management software help nurses monitor 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 a 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. OPH 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 announcement was distributed via Media OutReach Newswire.
