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      新動態印證前進的腳步
      《nature》刊發:慢病管理的數字化未來
      來源: 《nature》官網 2021/05/27

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      Volume 593 Issue 7860, 27 May 2021 [封面圖]

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      《Chronic disease management’s digital future》 [內容頁]


      英文原文:

      Chronic disease management’s digital futureimage.png

      In China, AI is helping users actively manage the impacts of their lifestyle, with multiple chronic health management strategies integrated onto one of the country’s largest digital health platforms.

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      Using personalized digital technology to manage multiple chronic diseases will improve the declining outcomes for lifestyle-related diseases, says Fei Kong, chief executive officer of MIAO Health, one of China’s largest digital health platforms. Since 2014, his company has been using artificial intelligence and big data to offer cutting-edge digital services that help streamline medical treatment and drug supply, alert users and healthcare providers to potential future issues, and collect data to improve health risk assessments.

      New technologies will be crucial to keeping China’s health in check, says Qing Guo, chairman of the health management department of the Chinese Medical Association. Digital technologies that virtually track and encourage health progress can reinforce healthy daily practices for millions of people, he points out.

      “Our platforms were among the first in China to ‘gamify’ gradual improvements in lifestyle, ranging from nutrition and sports to psychological effects and sleep, which reinforces positive behaviour,” explains Bangchang Liu, MIAO Health’s senior vice president. Among the many gamified systems is a motion video recognition engine that uses deep-learning to identify key body points during real-time videostreaming, alerting individuals to poor posture.

      Non-communicable diseases are a growing problem and a priority for governments, explains Kong. However, a2020 study on the global burden of disease published by?The Lancet?suggests that public health strategies are failing to adequately address the lifestyle factors linked to chronic disease.

      In 2016, the Chinese government released the ‘Healthy China 2030 Action Plan’, citing five keys aims, one of which is controlling major risk factors. The plan outlines a systematic and ongoing series of policy reforms to ensure the fairness, accessibility, and effectiveness of health services across China, and it recognizes the need to incorporate a significant digital health transformation.

      Behavioural change?

      Algorithms that efficiently track chronic disease progress are also produced by MIAO Health’s industry-leading ‘health knowledge graph’, a type of dataset. These tools assist doctors, nutritionists and health managers, easing the caseload burden for a stretched industry.

      “Our system streamlines health assessments through our H platform, and interventions through our M platform,” explains Xiaobin Luo, MIAO Health’s senior vice president and chief medical officer. He says MIAO Health’s AI platforms have been trained on healthy diet recipe data to recognize 13,000+ foods. By incorporating data from roughly 7,000 scientific documents, it can spot 3000+ unusual indicators, supply suggestions to help mitigate 100+ key risk factors, and provide pre-emptive health alerts for 1,300+ diseases.

      An analysis of one million users conducted by the company between 2017 and 2018 showed that across the year participants recorded an average 35 minutes more sleep daily, 1.7 times more steps, and a total body weight roughly 1.5 kg lighter. This success, says Luo, has attracted a growing network of collaborators ranging from wearable device manufacturers and insurance companies, to clinics and hospitals. “These will enable a smooth transition from a passive medical treatment model to more active health management by individuals,” says Luo. They also plan to share their various AI capabilities with other health providers to support industry growth.

      MIAO Health partner, the Canada Wellness Institute, provides chronic disease lifestyle interventions both online and offline.Credit: Beijing More Health Technology Group Co., Ltd

      For example, their platforms have recently been used to provide data modelling for those being treated at chronic health specialty centre the Canada Wellness Institute (CWI), based at Seven Oaks General Hospital in Winnipeg, Manitoba. Since 2018, this partnership has also expanded to include various sites across China. “We started working in chronic disease management and intervention 20 years ago, and have built up substantial clinical data on a variety of conditions through the Canadian Chronic Disease Innovation Research Centre,” explains CWI’s chief executive officer, Carrie Solmundson. “Modelling this data through MIAO Health has significantly enhanced our patient services.”

      Insurance integrated?

      MIAO Health’s insurance verification and health-data visualization platforms are also optimizing health insurance operation, risk control, and product design. Today, MIAO Health’s partnership network encompasses roughly half of the insurance companies in China, including all of the top 20.

      A Health Assessment Integrated Machine helps insurers assess health risks.Credit: Beijing More Health Technology Group Co., Ltd

      There will be a synchronized growth between commercial health insurance and digital health management, explains Chongguang Jiang, the executive vice president of the China Insurance Innovation Institute. Given the age ratio and size of China’s aging population, the high prevalence of chronic diseases, and a relative scarcity of medical professionals, proactively managing risks will amplify the benefits for both insurers and the public, he says. “While preparing digital auditing strategies to ensure timely and fair checks on insurance eligibility and scope, it will be important for us to take to lead in pioneering new technological innovations and benefit management models.”

      “Such comprehensive scope must also be grounded in our focus on data privacy,” notes Liu. “We understand that the big data on health from hospitals and insurance companies are the best and most accurate sources, but we also want to ensure personalized privacy and care. We are working on key advances through many government-supported pilot schemes and advising on new regulatory standards with government and business bodies.”

      附官網原文鏈接:https://www.nature.com/articles/d42473-021-00191-7


      全文翻譯:

      慢病管理的數字化未來

      在中國,人工智能正在幫助用戶主動管理其因不良生活方式帶來的影響,將多種慢病健康管理解決方案集成到中國排名領先的數字化健康管理平臺上。

      中國最大的數字化健康管理平臺之一——妙健康CEO孔飛介紹,使用個性化的數字技術來進行健康管理,可以降低因不良生活方式導致的相關疾病的發生概率。自2014年以來,妙健康一直利用人工智能和大數據平臺提供先進的數字化健康管理服務,幫助優化醫療和藥物供應流程,提示用戶和醫療健康企業關注潛在的健康問題,并提供健康風險評估方案。

      中華醫學會健康管理學分會主任委員郭清教授認為,科技對于建設“健康中國”至關重要。鼓勵健康促進領域的數字化技術發展,可以使更廣泛的慢病患者從數字化健康管理中獲益。

      妙健康高級副總裁劉邦長介紹說:“妙健康是中國第一個用游戲化手段幫助用戶逐漸改善不良生活方式的健康管理平臺,通過營養、運動到心理和睡眠的干預,給用戶帶來了積極變化?!痹诒姸嘤螒蚧绞街?,運動視頻識別引擎使用了深度學習算法技術,在實時視頻中識別人體關鍵點位,來提醒個人注意不良姿勢,達到糾正目的。?

      慢性非傳染性疾病防控日益受到各國重視,《柳葉刀》在2020年發表的一項關于全球疾病負擔的研究表明,公共衛生戰略未能充分解決不良生活方式引發的慢性疾病所帶來的損失

      2016年,中國政府印發的《“健康中國2030”規劃綱要》曾提出五個關鍵目標,其中之一就是要控制主要健康風險因素。該《綱要》概述了一系列正在進行的政策改革,以確保中國各地衛生醫療服務的公平性、可及性和有效性,還提到進行重大的數字衛生轉型勢在必行。

      行為改善

      妙健康在領先行業的“健康知識圖譜”基礎上,生成了持續、有效跟蹤慢性疾病的算法和數字化工具,可以幫助醫生、營養師和健康管理師減輕工作負擔?

      妙健康高級副總裁兼首席醫療官羅曉斌博士介紹說:“妙健康通過搭建健康風險分級管理平臺——H,優化健康評估流程,對用戶進行健康風險分級、管理,在國內首創性提出用H值量化個人健康狀況;借助人工智能健康干預平臺——M,自動為用戶生成個性化的健康管理計劃?!?/span>

      羅曉斌博士表示,妙健康的人工智能平臺已經接受了大量健康飲食數據訓練,可以識別13000種+食物。通過結合大約7000份科學文獻數據,可以發現3000+異常指標,為100+個關鍵患病風險因素提供建議,并為1300+種疾病所引發的健康風險預警。

      妙健康對100萬用戶進行為期一年的數據跟蹤分析顯示,全年接受健康管理的參與者平均每天睡眠增加35分鐘,步數增加1.7倍,體重減輕約1.5公斤。據羅曉斌博士介紹,這吸引了越來越多的合作伙伴加入,包括可穿戴設備制造商、保險公司、診所和醫院。?“更多合作伙伴的參與,將促進大眾從被動醫療模式順利過渡到主動健康管理模式?!绷_曉斌博士說,妙健康計劃將人工智能平臺及數據能力開放賦能給行業上下游,以支持行業發展。

      目前,妙健康的平臺能力已用于幫助加拿大健康管理中心(CWI)為當地接受慢病治療的患者數據建模,以及在線上和線下全方位提供對慢病患者不良生活方式的干預。2018年至今,這種合作模式逐漸拓展復制到中國多個城市。

      加拿大健康管理中心(CWI)全球CEO ?Carrie Solmundson 女士表示:“我們在20多年前就通過加拿大慢病創新研究中心開始從事慢性病管理和干預,積累了大量各種疾病相關的臨床數據,通過妙健康進行建模后,顯著提高了我們對患者的服務能力?!?/span>

      融合保險

      妙健康的保險核賠和健康數據可視化平臺,正在被用于優化商業健康保險的經營、風險控制和產品設計。如今,妙健康的合作網絡覆蓋了中國市場過半數的保險公司,包括市場排名前20名的險企。

      中國保險創新研究院常務副院長兼秘書長江崇光認為,商業健康保險與數字健康管理之間將會出現同步增長。鑒于中國人口老齡化的比例和規模、慢性疾病高發病率以及專業服務人員相對缺乏的現狀,促進主動健康管理,進行健康風險評估預警對于保險公司和公眾都是非常有益的。他表示,“這將有利于險企制定‘數字監測抓取’策略,以確保及時、公平、有效地進行智能核保核賠,對賦能保險業技術革新和建立經濟學模型都至關重要?!?/span>

      “全面的應用場景必須基于對數據隱私的重視?!眲铋L補充到?!霸诒Wo用戶隱私的前提下,醫院和保險公司是健康大數據最專業精準的數據來源。因此,我們正積極參與多個政府支持的試點項目,并為政府和商業機構制定新的行業監管標準提供建議?!?/span>

      国产成人久久精品二区三区