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Medical Informatics Lab
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A medical informatics lab that analyzes and uses medical data such as electronic health records.
AboutAbout the lab
Raising the value of clinical information to bring innovation to healthcare.
The lab conducts clinical research using data from electronic health records and health care databases.
The Department of Medical Informatics, Faculty of Medical Sciences, Kyushu University, was re-established in December 2023.
The lab also studies the use of clinical pathways and the integration of personal health records (PHR) with electronic health records.
The lab's website presents the Department of Medical Informatics together with the Medical Information Center at Kyushu University Hospital.
Key terms
- PHR
- Short for Personal Health Record. Refers to records of an individual's health and medical information.
- LHS
- Short for Learning Health System. A mechanism that learns from data obtained in clinical care to continuously improve healthcare.
- FHIR
- An international standard for health information. It is used to implement the integration of electronic health records with personal health records.
ResearchResearch themes
The lab uses medical data such as electronic health records in its research. Its research themes include big data analysis, the use of clinical pathways, and the integration of personal health records (PHR) with electronic health records.
*Illustrative imageAnalysis of Medical Big Data
The lab analyzes medical big data to advance data-driven clinical research. Its listed keywords include machine learning and AI.
*Illustrative imageClinical Pathways and LHS
This research uses clinical pathways as a Learning Health System (LHS) for healthcare facilities. Through a joint committee of academic societies, the lab works to promote ePath, which comes as a standard feature in electronic health records.
*Illustrative imageResearch on Personal Health Records (PHR)
This research integrates personal health records (PHR) with electronic health records. Within programs such as the Cabinet Office's BRIDGE program, the lab is developing an app for individuals' smartphones and implementing it with FHIR, an international standard.
*Illustrative imageDisease Management and Data Health
This research covers disease management for lifestyle-related diseases. It began with an industry-academia collaborative diabetes disease management project, and its research keywords include Data Health Plans.
MembersFaculty
The lab's faculty consist of a Professor, Associate Professor, Lecturer, and Assistant Professor.As of 2026
- ProfessorNaoki Nakashima
- Associate ProfessorKen Nishiyama
- LecturerAkie Hirata
- Assistant ProfessorHiroko Furuhashi
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Nurses in a nurses' station, USA 1987” Bill Branson, National Cancer Institute / Public domain (cropped)
- Analysis of Medical Big Data: “Big Data ( )” Learntek / CC0 (cropped)
- Clinical Pathways and LHS: “Learning Health Care System” LeadershipConsortium / CC BY-SA 4.0 (cropped)
- Research on Personal Health Records (PHR): “Personal Child Health Record - 'Red Book'” Royal College of Paediatrics and Child Health / Public domain (cropped)
- Disease Management and Data Health: “2. 5P Health” Paulbourgine / CC BY-SA 4.0 (cropped)
- Related lab (Urology Lab): “Ultrasound of left kidney lower pole with stone” Cerevisae / CC BY-SA 4.0 (cropped)
- Related lab (Cardiovascular Medicine Lab): “Echocardiogram 4chambers” 作者不詳 / Public domain (cropped)
- Related lab (Neuroanatomy Lab): “Sagittal brain slice, UB Museum of Neuroanatomy, Buffalo, New York” Caldwbr / CC BY-SA 4.0 (cropped)
- Related lab (Pediatric Surgery Lab): “Pediatric emergency room at Iashvili Children's Hospital in Tbilisi, Georgia” AIHA, USAID / Public domain (cropped)
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