健康管理服務平台經營之個案研究- 以Ｈ健康管理公司為例

Abstract

研究背景與目的： 背景：近年來，隨著科技日新月異，科技產品不僅普及於日常生活，同時嘉惠數位醫療蓬勃發展，鑒於全球人口老化，根據國家發展委員會推估，隨著國人平均壽命延長，我國老年人口快速增加，占總人口的比率也持續攀升。自2018年起已突破14%，正式進入高齡社會，並在2025年將超過20%，邁入超高齡社會，以及健保署健保醫療十大支出的醫療費費用其中慢性疾病就網羅前幾名，依序為；慢性腎病、第二型糖尿病、原發性高血壓、慢性缺血性心臟病，「三高」高風險者，腎臟負擔增，老年人口增，醫藥費將持續攀升！ 目的：隨著國人健康意識提升，對健康管理服務的需求逐漸增加，老齡化社會人口的增加使得慢性病管理和預防成為現今國人重要的健康議題，又加上現代人生活型態的改變逐漸面臨的壓力和不健康的生活方式使得健康管理的需求儼然成為生活中的必需。本研究旨在探討在高齡化與慢性疾病盛行的背景下，健康管理服務平台如何有效整合醫療資源與數位科技。 方法：本研究採用質性個案研究法，選擇Ｈ健康管理公司為研究對象，透過次級資料收集，並結合內部分析VRIO分析、SWOT分析與商業模式九宮格（Business Model Canvas），針對公司內部資源、外部環境、服務流程與經營策略進行綜合評估，進一步闡明其健康管理平台的關鍵成功因素與實施架構。 結果：研究發現，Ｈ健康管理公司透過結合健康檢查、數據分析、專業諮詢、AI技術與跨醫療機構合作，建立出以受檢者為中心的「精準健康管理」流程。該平台成功提高企業與個人客戶的健檢參與度與滿意度，並改善部分代謝症候群指標，公司的營運成效也日漸成長並完成興櫃登錄目標。此外，該公司具備稀有性、難以模仿性及組織支援的資源，於VRIO評估中展現長期競爭優勢。 結論： 本研究顯示，結合預防醫學理念與數位科技的健康管理平台，具備提升國民健康素養與降低慢性病風險的潛力。Ｈ健康管理公司之個案驗證，企業若能導入精準化、系統化的健康管理服務，將有助於實踐預防保健、延緩健康耗損並減輕醫療支出負擔。未來政策與企業應強化健康數據整合與追蹤機制，進一步推動全民健康管理的落實。

Background: In recent years, rapid advancements in technology have significantly influenced everyday life and propelled the growth of digital healthcare. Concurrently, global population aging is accelerating, with Taiwan officially becoming an aging society in 2018, where the elderly population exceeded 14% of the total population. By 2025, this percentage is projected to surpass 20%, entering a super-aged society. According to Taiwan's National Health Insurance Administration, the primary healthcare expenses are predominantly associated with chronic diseases, such as chronic kidney disease, type II diabetes, essential hypertension, and chronic ischemic heart disease. The rising prevalence of high-risk populations for metabolic syndrome and increasing elderly demographics are expected to drive medical expenses further upward. Objective: With heightened health consciousness, there has been a growing demand for health management services. The increasing aging population has made chronic disease management and prevention critical health issues. Additionally, lifestyle changes in modern society, characterized by increased stress and unhealthy habits, have amplified the necessity for health management. This study aims to explore how health management service platforms can effectively integrate medical resources and digital technology in the context of an aging society with prevalent chronic diseases. Methods: This research employed a qualitative case study approach, focusing on H Health Management Company. The analysis involved secondary data collection integrated with internal analyses utilizing VRIO, SWOT, and the Business Model Canvas framework. It comprehensively evaluated internal resources, external environments, service processes, and business strategies, aiming to clarify critical success factors and implementation structures of the company's health management platform. Results: The study found that H Health Management Company successfully developed a client-centered "precision health management" process by integrating health screenings, data analytics, professional consultations, AI technology, and cross-institutional healthcare collaborations. This platform significantly increased participation and satisfaction rates among corporate and individual clients and improved key indicators related to metabolic syndrome. Operational outcomes have progressively improved, leading to successful registration on the emerging stock market. The company possesses rare, inimitable, and organizationally supported resources, demonstrating sustainable competitive advantages according to VRIO analysis. Conclusion: This study highlights that health management platforms combining preventive medicine and digital technology have substantial potential in enhancing public health literacy and reducing chronic disease risks. The case of H Health Management Company validates that businesses adopting precise, systematic health management services can effectively promote preventive care, delay health deterioration, and alleviate healthcare expenditures. Future policies and enterprises should focus on strengthening the integration and tracking mechanisms of health data to foster comprehensive health management practices.