Hitachi City and Hitachi, Ltd. Advance New Health Measures Based on AI Analysis of 70,000 Citizens' Health Data

Hitachi City and Hitachi, Ltd. (along with Hitachi Systems and Sawai Pharmaceutical) completed a smart city project verification involving health data of 70,000 citizens. Identifying a high prevalence of hypertension, they will launch data-driven health policies and AI-powered app features in 2026.
調査|提携NQ 85/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: May 25, 2026 at 20:04
  • 🔍 Collected: May 25, 2026 at 11:31
  • 🤖 AI Analyzed: May 27, 2026 at 02:49 (39h 17m after Collected)
Hitachi City, Hitachi, Ltd., Hitachi Systems, and Sawai Pharmaceutical have announced the results of two health-focused verifications conducted in FY2025 as part of their 'Next-Generation Future City' (Smart City) co-creation project. The initiative aims to realize the 'A city where you become healthy if you live there' grand design through digital health and elderly care solutions.

Verification 1: Aggregation and Analysis of Health Data
In collaboration with multiple insurers (National Health Insurance, Japan Health Insurance Association, etc.), the project aggregated statistical data from approximately 70,000 citizens, representing 75% of the local population aged 40 to 79. This large-scale analysis revealed a city-wide trend of high hypertension prevalence, providing a clear target for future intervention.

Verification 2: Promoting Health Consciousness via the 'SaluDi' App
305 citizens participated in testing the health management app 'SaluDi,' which features AI-based disease risk prediction and Personal Health Record (PHR) management. Post-verification surveys confirmed that the app is effective in improving health literacy and promoting healthy behaviors. The project will continue into FY2026 with the addition of personalized AI advice services.

Future Roadmap for FY2026
Based on these findings, Hitachi City will implement new Evidence-Based Policy Making (EBPM) measures, including support for groups at high risk of hypertension and expanded app functionalities. Through these efforts, the partners aim to align with national healthcare policies, promote PHR standardization, and extend the healthy life expectancy of citizens.

FAQ

今回の実証実験で分析されたデータ規模はどのくらいですか?

日立市内の40〜79歳人口の約75%にあたる、約7万人分の統計情報が集約・分析されました。

データ分析によって判明した日立市の疾病傾向は?

全国的にも前例の少ない大規模分析の結果、日立市全体で特に高血圧の発症が多い傾向が明らかになりました。

実証に使用された「SaluDi」とはどのようなアプリですか?

沢井製薬が提供する健康管理アプリで、AIによる疾病発症予測機能やPHR(個人の健康・医療データ)管理機能を備えています。

2026年度以降の取り組みの方向性は?

疾病傾向の高い高血圧予備群への支援や、健康アプリへのAIアドバイスサービス追加など、EBPM(根拠に基づく政策立案)を推進します。

PHR(Personal Health Record)とは何ですか?

個人の医療・健診・生活習慣データを一元的に管理し、本人が主体的に健康増進に活用する仕組みのことです。