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Health Maid

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社會科技,健康與福祉,長者服務

The problem of aging population and increase in prevalence of chronic illnesses in the elderly surge tremendously. Dementia, mood disorders, hypertension and diabetes (accounting for more than 1 million consultations per year in Hong Kong) are among the most common diseases. However, the current medical focus is on the treatment and rehabilitation after diagnosis. And current screening and evaluation of disease severity, especially mental illnesses, is often a tedious, non-quantitative, time and manpower consuming process. In addition, healthcare service in Hong Kong is inefficient and heavily overloaded with excessive demand. We aim to provide social values of promoting elderly disease awareness, early detection the elderly diseases to provide prevention or timely treatment, reduction in medical costs and the burden of the medical system We firmly believe that, people with chronic illnesses, particularly the elderly patients, deserve better medical care. Our app uses machine learning, big data to provide a gamified disease screening tool, digital health data profile and personalized medical care. (Before consultation with a doctor)

  • Games to gather data to predict the risk factors of disease
  • Easily-understood disease and treatment information
  • Online self-help opinions from different sectors of healthcare professionals
(After consultation with a doctor)
  • Real-time monitoring of health status
  • Personalized health report explaining the disease, the treatment, precautions and lifestyle tips
  • Reminders for medication and follow-up by a chat bot
Health Maid, your personal help to screen, monitor and intervene elderly chronic illnesses. *Invited team from “Startup Weekend Hong Kong Silver Society @ Lingnan University”   組長 Team Leader 許天浩 HUI Tin Ho (PolyU) 組員 Team Member 李澤鋒 LI Chak Fung (LU) 鄧煒林 TANG Wai Lam (PolyU) 院校顧問 ​Faculty Advisor Office of Service-Learning, Lingnan University Website http://healthmaid.hk/

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  • 地址

    香港新界沙田香港中文大學馬料水澤祥街12號鄭裕彤樓602室

    顯示地圖

  • 電話號碼

    (852) 3943 9525 / 3943 9628 / 3943 1649


  • 傳真

    (852) 2994 4363


  • 電郵

    [email protected]

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