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Rethinking health care for older adults beyond lab results

Gerald Kuo
Conditions
March 15, 2026
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Every year on March 14, mathematicians celebrate Pi Day. The constant π (approximately 3.14) describes the ratio between a circle’s circumference and its diameter. It represents perfection in geometry. But in clinical life, health rarely looks like a perfect circle. I was reminded of this while speaking with Mrs. Chen at a community health program. She was 78 years old. By most medical standards, she was doing well. Her blood pressure was controlled. Her lab results were stable. Her medication regimen had been carefully optimized. On paper, she looked like a success story. Yet she sat quietly and said something that no lab value could capture. “I still can’t walk to the market anymore.” In that moment, the illusion of the perfect medical chart disappeared. What mattered to her was not her A1C or cholesterol level. What mattered was mobility, her ability to move through her own world.

Mathematics offers an interesting metaphor for this problem. In classical geometry, we assume movement is unrestricted. One can move freely in any direction. But in sub-Riemannian geometry, movement is constrained. Certain directions are not accessible. Progress requires following specific allowable paths. Health in an aging society looks much more like this constrained geometry. Older adults rarely move through life with unlimited options. Chronic illness, muscle loss, and physiological decline restrict the directions they can take. The goal of care is no longer restoring a perfect state of health. The goal is helping patients find a viable path forward despite these constraints.

This is where the integration of medicine, exercise, and nutrition becomes essential. Medicine diagnoses and treats disease. Exercise preserves strength and mobility. Nutrition provides the metabolic resources needed for recovery. Each alone is insufficient. Together, they create what mathematicians would call an admissible path, a route that allows movement within limitations. Unfortunately, our health care system often behaves as if the perfect circle still exists. We invest enormous resources in hospitals, pharmaceuticals, and diagnostic technology. These advances are important and often life-saving. But if a patient lacks the muscle strength to stand, or the nutritional reserve to heal, perfect lab values offer little protection against decline. Medical care alone cannot sustain a health trajectory.

Community exercise programs, nutrition support, and aging-in-place initiatives rarely receive the same attention as advanced medical technologies. Yet these everyday interventions often determine whether an older adult remains independent or becomes trapped in a cycle of frailty, hospitalization, and loss of autonomy. If π represents the perfection of a circle, the reality of human aging is far less symmetrical. It is uneven. It is constrained. And it is shaped by the biological and social limits of life. But like a path in sub-Riemannian geometry, progress is still possible. On Pi Day, mathematicians celebrate the geometry of the universe. In health care, perhaps we should celebrate something simpler. Our job is not to draw a perfect circle. Our job is to make sure our patients can still walk the path.

Gerald Kuo, a doctoral student in the Graduate Institute of Business Administration at Fu Jen Catholic University in Taiwan, specializes in health care management, long-term care systems, AI governance in clinical and social care settings, and elder care policy. He is affiliated with the Home Health Care Charity Association and maintains a professional presence on Facebook, where he shares updates on research and community work. Kuo helps operate a day-care center for older adults, working closely with families, nurses, and community physicians. His research and practical efforts focus on reducing administrative strain on clinicians, strengthening continuity and quality of elder care, and developing sustainable service models through data, technology, and cross-disciplinary collaboration. He is particularly interested in how emerging AI tools can support aging clinical workforces, enhance care delivery, and build greater trust between health systems and the public.

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