東北大学大学院医学系研究科・医学部

STAFF

Professor

• Nakayama, MasaharuProfessor. 中山 雅晴 教授
  

CONTACT

OUTLINE

The Department of Medical Informatics is dedicated to advancing practical research in medical informatics to enhance the quality and value of healthcare. One of our targets is effective electronic health records. In addition, we address a wide spectrum of issues, including data management for supporting clinical research, promoting the use of Personal Health Records (PHR), contributing to international standards such as FHIR, and preparing for disaster response. In cardiology, particularly, we are actively involved in developing and managing the Japanese Circulation Society's Standard Output Format (SEAMAT) to improve the collection and utilization of cardiology data.

As information technology continues to evolve, the volume of digital data is rapidly increasing. Big data holds the potential to generate new insights in medicine and enhance a variety of healthcare functions. We are committed to addressing real-world challenges methodically, aiming to collect and utilize large-scale, highly reliable data. Additionally, we focus on training physicians with comprehensive knowledge of hospital information systems, clinical medicine, and foundational medical sciences, equipping them to navigate the increasingly digital healthcare landscape.

医学情報学分野では、「実践的医療情報学」の理念を基に、臨床現場に貢献する病院情報システムや地域医療連携システムの研究を進めています。さらに、臨床研究を支えるデータの整備・活用、個人健康記録（PHR）の普及推進、FHIRやIHEなどの国際標準規格への貢献、そして災害対策に至るまで、幅広い課題に取り組んでいます。特に、循環器領域におけるデータ活用では、日本循環器学会標準出力フォーマット（SEAMAT）の策定と運用に関わり、幅広い臨床データの収集と活用を目指しています。

デジタル化が急速に進展し、ビッグデータの活用が様々な分野で期待される中、医療においてもその重要性はますます高まっています。私たちは、新たな知見の発見とその臨床応用が求められる現代において、具体的な課題に対処しながら、正確で信頼性の高い大規模データの収集と活用に貢献できるよう活動しています。

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  Several projects on our lab.
  当教室で行っているプロジェクト例

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  A snapshot of our lab
  抄読会の風景

ARTICLE

Faisal Hiro Putra, Nakayama M. Implementation of the World Health Organization Minimum Dataset for Emergency Medical Teams to Create Disaster Profiles for the Indonesian SATUSEHAT Platform Using Fast Healthcare Interoperability Resources: Development and Validation Study. JMIR Medical Informatics. 12:e59651, 2024.
URL：https://doi.org/10.2196/59651

Nochioka K, Nakayama M, et al. Change in pulse pressure and cardiovascular outcomes after percutaneous coronary intervention: The CLIDAS study. IJC Heart & Vasculature. 53:101430, 2024.
URL：https://doi.org/10.1016/j.ijcha.2024.101430

Song C, Nakayama M. Implementation of a Patient Summary Web Application According to the International Patient Summary and Validation in Common Use Cases in Japan. Journal of Medical Systems. 47(1), 2023.
URL：https://doi.org/10.1007/s10916-023-01993-6

Lyu G, Nakayama M. Prediction of respiratory failure risk in patients with pneumonia in the ICU using ensemble learning models. PLoS One. 18(9): e0291711,2023.
URL：https://doi.org/10.1371/journal.pone.0291711

Ido K, Miyazaki M, Nakayama M. Hemodialysis Record Sharing: Solution for Work Burden Reduction and Disaster Preparedness. JMIR Formative Research. 6(7): e32925, 2022.
URL：https://doi.org/10.2196/32925