智慧衛教專家系統之研究;A Pilot Study of an Intelligent Health Education Expert System

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Title:	智慧衛教專家系統之研究;A Pilot Study of an Intelligent Health Education Expert System
Authors:	許文錦
Contributors:	國立中央大學資訊管理學系
Keywords:	衛生教育;智慧型資訊系統;使用意圖;科技接受度模型;Health education;Intelligent information system;Adoption intention;Technology Acceptance Model
Date:	2018-12-19
Issue Date:	2018-12-20 13:46:16 (UTC+8)
Publisher:	科技部
Abstract:	人口老化、照護人力不足、醫療人員工作超時是目前世界許多國家(例:台灣、日本、美國)共同面臨的問題, 發展新的照護機制成為急需研究的重要議題。衛生教育(簡稱衛教)為照護工作重要環節, 醫療機構雖提供衛教宣導, 但侷於人力與資源不足, 成效有限, 而人工智慧技術快速發展為此問題帶新的解決方向。本計畫擬結合類神經網路(artificial neural networks)與模糊專家系統(fuzzy expert system)發展新一代智慧衛教專家系統, 主要功能包括疾病風險評估(e.g.,高危險群偵別與篩檢)與提供個人化衛教資訊(e.g.,藥品、療法、飲食、運動)。研究計畫分為二階段：階段一運用人工智慧技術建構智慧衛教專家系統，以心臟病的預防與衛教宣導為例進行系統設計與試驗; 階段二運用科技接受模型(Technology Acceptance Model)分析使用者對智慧衛教系統之使用意圖。本計畫成果將有助於緩解台灣醫護人力不足的現況。在實務上，本計畫所建置之智慧衛教專家系統包括App可協助病患隨時評估疾病風險，即早察覺與治療，也可以提供已患病者專業正確的衛教資訊防止病情惡化，達到三級預防的目的，對於目前衛教工作有實質幫助。 ;Aging population, insufficient manpower for caring patients, and clinical care personnel working overtime are common issues faced by many countries in the world (e.g., Taiwan, Japan, USA). Developing new mechanisms of care is an important issue in urgent need of study. Health education is an important link in the caring business. Although medical institutes promote health education, the outcome is limited due to inadequate manpower and resources. The fast-paced development of artificial intelligence (AI) technology brings new direction in solving the problem. The proposed study aims to combine quasi-neural networks and fuzzy expert systems to develop a new generation of intelligent health education expert system. The main functions of the system include risk assessment of diseases (e.g., detection and screening for high-risk groups) and personalized health education information (e.g., medication, therapy, diet, exercise, etc). The research proposal is divided into two stages. In stage 1, AI technology will be used to construct an intelligent health education expert system using prevention and health education promotion of heart-related diseases as examples to design and test the system. In stage 2, the Technology Acceptance Model will be used to analyze the intention of those who use the intelligent health education system. The results of the proposed study will help to improve the current status of traditional care and provide important reference for upgrading medical institutes to smart hospitals, and achieve the final goal of lifting the quality of medical care.
Relation:	財團法人國家實驗研究院科技政策研究與資訊中心
Appears in Collections:	[Department of Information Management] Research Project

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