Efficacy of self-management personal health record for diabetes care integrated by internet of things and smart speaker: confirmatory study

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K11623
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 59040:Nutrition science and health science-related
• Research Institution: The University of Tokushima
• Principal Investigator: MATSUHISA Munehide 徳島大学, 先端酵素学研究所, 教授 (60362737)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 2型糖尿病 / セルフモニタリング / 電子健康記録 / 個人健康記録

Outline of Final Research Achievements

A pilot randomized controlled trial was performed in people with type 2 diabetes to evaluate the utility of developed self-monitoring application of PHR using artificial intelligence (AI) derived advice messages on diabetes care. The control subjects used previously developed mobile phone application of PHR; e-DM Diary (PHR group). On the other hand, in the intervention group (PHR+message group), a newly developed e-DM diary Pro with an added system for sending advice messages to patients was applied. There were no differences in the changes of the self-monitoring of body weight, blood glucose levels, blood pressure, and steps from the pre- to the post-intervention period between the groups. At the end of intervention, BMI was significantly lower in PHR+ message group than PHR group. After the intervention, PHR with AI advice message system did not improve self-monitoring behavior, but significantly decrease the change of BMI compared with PHR group in people with type 2 diabetes.

Free Research Field

糖尿病

Academic Significance and Societal Importance of the Research Achievements

本研究開発ではあらかじめ設定された配信アルゴリズムにメッセージが配信されるルールベースのAI技術を用いている。AI技術を用いたスマートスピーカーと自己測定情報を統合させたPHRを活用した糖尿病診療の有用性を示した事例は国内でまだ少ないのが現状である。しかし、PHRをはじめとするAI技術の活用により医療の質向上、費用抑制が期待されており、その普及・展開の根拠となる実臨床利用でのエビデンス蓄積が求められている。本研究はこのニーズに応えるものであり、重要であると考える。