Summary
The JMDC: EMR - Electronic Medical Record Database (Japan) Database consists of claims, Diagnosis Procedure Combination (DPC) survey data, and electronic medical records (lab test results) collected from medical institutions nationwide. It includes all comorbidities / complications of the patients and their treatments.
The database started in 2020 and today has a total population size of 14 Million. Standardized lab test results (>250) centered on blood / urine tests are available.
The EMR-based database consists of claims, DPC survey data, and electronic medical records collected from medical institutions nationwide. Both outpatient and inpatient data are included.
[Claims (inpatient, outpatient and pharmacy).
DPC Data.
Health checkup results and subscriber ledgers collected from health insurance associations nationwide.]
JMDC collects all claims information on a monthly basis (medical inpatient and outpatient, pharmacy claims).
NOTE: After the initial contract, the first data will take three months to be stored. However, after that, it will be stored as soon as possible after a medical institute updates.
(Every 2-3 months)
(Insured members of the general population, specifically outpatients or hospitalized inpatients.
Insurance type: Health Insurance Association, which insures employees who work for large-middle sized companies and their family members.)
JMDC: EMR Database is updated on a quarterly basis.
This profile was first developed for the B.R.I.D.G.E. TO DATA site on April 24, 2025.
Population Dynamics
On an accumulated basis, the total population size since January 2020 is 14 Million
NOTE: For the year 2021, the active population size was 7 Million
(Gained eligibility: 15%
Lost eligibility: 10%)
NOTE: Data are not captured on persons aged over 75 years old
(Not applicable, as data collection is ongoing)
Demographic Data
(Age or YOB)
0-19 years = 15%
20-64 years = 47%
65+ years = 38%
NOTE: Data are not captured on persons aged over 75 years old
Males = 49%
Females = 51%
All regions of Japan
(Month / Year; Year = YYYY, i.e., information is captured on year of birth only)
However, it is not fully captured, so information is limited
Physician & Practioner Info
Technically speaking, not all physician’s specialties are recorded on claims directly. However, the following information is used to identify specialty:
- Specialty information recorded on claims (34%);
- Refer to clinic specialty master and clinic ID on medical claims (61%).
Thus, a total of 95% of specialty information can be identified using the above method.
(Privatized)
Diagnoses/Signs & Symptoms
JMDC assembles the database by copying all descriptive items on all claims information (including inpatient, outpatient, pharmacy claims) derived from all health care services under health insurance systems within a population. It includes all comorbidities/complications of patients and their treatments.
Using individual identification, JMDC assembles cross-sectional information on consultations made freely by each patient, so that patient data can be tracked in chronological order. Even if a patient visits multiple medical institutions, all hospital consultations can be gathered because all claims are collected for insurers.
BMI, height, weight data are all included, if these data are recoded in EMR
TMN, tumor markers data; if these data are recorded in the EMR
Information is included on diagnosis as well as laboratory results
Procedures
Disease and treatment algorithms can be obtained through accumulating time-series data for each patient. JMDC includes information on all comorbidities / complications of the patients and their treatments.
By linking "EMR data" and "claims data," analysis from different angles (such as the relationship between test values and treatments) is available.
NOTE: Japan's unique coding system is used for procedures. Part of surgeries and measures are coded using ICD-9-CM.
Information includes dates on blood and urine tests, electrolytes, glucose, imaging, histological , biomarkers, lipids, organ function.
Drug Information
Information is available on frequency of drug administration
Information is available on the name of drugs
Information is available on dosage per day
Information is available on duration of drug administration
(Not applicable)
Generic names are captured
Information is available on standard price of each drug, in addition to name of manufacturer, and drug dosage.
Treatment journey data (first/second choice, switch/add-on/drop medications) can be gathered via data analysis.
Biobanks
Genetic-PGx Data
Economic Data
Information is available on standard price of each drug/procedure. In addition, total cost by claims is also available.
In Japan, all insured members pay 30% of their expenses at medical institutions, and the rest of them are covered by their insurance, except members in Latter-Stage Elderly Healthcare System.
Procedure: Based on Medical Reimbursement system in Japan;
Drugs: Based on National Health Insurance (NHI) drug price listing in Japan.
Validation & Linkage
(Not applicable)
N/A
(Not applicable)
Administrative Information
JMDC Inc.
Sumitomo Shibadaimon Bldg 12F
2-5-5, Shibadaimon
Minato-ku
Tokyo 105-0012
JAPAN
Phone: +81-03-5733-5010
Email: info@jmdc.co.jp
https://phm.jmdc.co.jp/
You may also contact the company by completing the contact form at: https://www.jmdc.co.jp/en/inquiry/
[(Private company, therefore no funds are received from outside. However, the stock holder is Noritsu Koki Co., Ltd. (https://www.noritsu.co.jp/english/)]
(Not applicable)
N/A
(Not applicable)
All data (claims and annual health checkup) can be provided to both public and private sectors. There is no difference in access to data.
Cost varies as follows:
- Full database access license (JPY 108,000,000)
- Access license for requested area (cost depends on request)
- Analysis/consulting service (cost depends on request)
NOTE: Data in CSV or SAS are provided via Amazon S3.
For more articles visit https://go.jmdc.co.jp/l/799233/2025-02-03/bbt91/799233/1738569853N21H7dDP/publication_list_2501.pdf
1. Yabuuchi M, Yokoyama K. Safety risks of interstitial lung disease upon real-world usage of Janus kinase inhibitors and biologics for patients with autoimmune diseases: epidemiological study using nationwide electronic medical record database in Japan. Immunol Med. 2024 Sep;47(3):130-141.
2. Hiraga K, Takeuchi M, Kimura T, Yoshida S, Kawakami K. Prediction models for in-hospital deaths of patients with COVID-19 using electronic healthcare data. Curr Med Res Opin. 2023 Nov;39(11):1463-1471. doi: 10.1080/03007995.2023.2270420. Epub 2023 Oct 28. Erratum in: Curr Med Res Opin. 2024 Aug;40(8):1453.
3. Iijima H, Gouda M, Hida H, Mori-Anai K, Takahashi A, Minai R, Ninomiya H, Saito Y, Miyawaki A, Wada J. Renal outcomes with sodium-glucose cotransporter 2 inhibitors in Japanese people with grade 3 chronic kidney disease and type 2 diabetes: Analysis of medical administrative databases. Diabetes Obes Metab. 2024 May;26(5):1615-1623.
4. Kawai K, Ishii M, Kokado Y, Horikawa T, Hoshino J. Outcomes of Early Versus Delayed Anemia Treatment in Nondialysis-Dependent CKD. Kidney Int Rep. 2024 Apr 15;9(7):2056-2066.
5. Hayashi A, Mizuno K, Shinkawa K, Sakoda K, Yoshida S, Takeuchi M, Yanagita M, Kawakami K. Effect of multidisciplinary care on diabetic kidney disease: a retrospective cohort study. BMC nephrology. 2024 Mar 25;25(1):114.
6. Tanaka T, Maruyama S, Chishima N, Akiyama H, Shimamoto K, Inokuchi S, Yokota K, Ozaki A. Population characteristics and diagnosis rate of chronic kidney disease by eGFR and proteinuria in Japanese clinical practice: an observational database study. Sci Rep. 2024 Mar 2;14(1):5172.
7. Inokuchi S, Shimamoto K. Persistent Risk of Developing Autoimmune Diseases Associated With COVID-19: An Observational Study Using an Electronic Medical Record Database in Japan. J Clin Rheumatol. 2024 Mar 1;30(2):65-72.
8. Masaki H, Shimamoto K, Inokuchi S, Ishizaki S. Treatment of Chronic Constipation using Elobixibat in a Real-World Setting: A Retrospective Cohort Study using an Electronic Medical Records Database in Japan. Curr Ther Res Clin Exp. 2023 Oct 28;99:100724.
9. Okumura Y, Kimura T, Inokuchi S, Okamoto M, Takano T, Miyake M, Kumagai Y. Real-World Hepatic Safety of Oral Acetaminophen Versus Loxoprofen/Celecoxib: Using a Nationwide Electronic Medical Record Database. J Clin Pharmacol. 2023 Jul;63(7):798-806.
10. Uno S, Midorikawa S, Inoue K, Ichikawa D, Ito T, Kuroda J, Suzuki K. Survival outcomes among patients with multiple myeloma in the era of novel agents: exploratory assessment using an electronic medical record database in Japan. PLoS One. 2023 May 31;18(5):e0285947.
Database Contact
JMDC Inc.
Sumitomo Shibadaimon Bldg 12F
2-5-5, Shibadaimon
Minato-ku
Tokyo 105-0012
JAPAN
Phone: +81-03-5733-5010
Email: info@jmdc.co.jp
You may also contact the company by completing the contact form at: https://www.jmdc.co.jp/en/inquiry/
Literature References
1. Yabuuchi M, Yokoyama K. Safety risks of interstitial lung disease upon real-world usage of Janus kinase inhibitors and biologics for patients with autoimmune diseases: epidemiological study using nationwide electronic medical record database in Japan. Immunol Med. 2024 Sep;47(3):130-141.
2. Hiraga K, Takeuchi M, Kimura T, Yoshida S, Kawakami K. Prediction models for in-hospital deaths of patients with COVID-19 using electronic healthcare data. Curr Med Res Opin. 2023 Nov;39(11):1463-1471. doi: 10.1080/03007995.2023.2270420. Epub 2023 Oct 28. Erratum in: Curr Med Res Opin. 2024 Aug;40(8):1453.
3. Iijima H, Gouda M, Hida H, Mori-Anai K, Takahashi A, Minai R, Ninomiya H, Saito Y, Miyawaki A, Wada J. Renal outcomes with sodium-glucose cotransporter 2 inhibitors in Japanese people with grade 3 chronic kidney disease and type 2 diabetes: Analysis of medical administrative databases. Diabetes Obes Metab. 2024 May;26(5):1615-1623.
4. Kawai K, Ishii M, Kokado Y, Horikawa T, Hoshino J. Outcomes of Early Versus Delayed Anemia Treatment in Nondialysis-Dependent CKD. Kidney Int Rep. 2024 Apr 15;9(7):2056-2066.
5. Hayashi A, Mizuno K, Shinkawa K, Sakoda K, Yoshida S, Takeuchi M, Yanagita M, Kawakami K. Effect of multidisciplinary care on diabetic kidney disease: a retrospective cohort study. BMC nephrology. 2024 Mar 25;25(1):114.
6. Tanaka T, Maruyama S, Chishima N, Akiyama H, Shimamoto K, Inokuchi S, Yokota K, Ozaki A. Population characteristics and diagnosis rate of chronic kidney disease by eGFR and proteinuria in Japanese clinical practice: an observational database study. Sci Rep. 2024 Mar 2;14(1):5172.
7. Inokuchi S, Shimamoto K. Persistent Risk of Developing Autoimmune Diseases Associated With COVID-19: An Observational Study Using an Electronic Medical Record Database in Japan. J Clin Rheumatol. 2024 Mar 1;30(2):65-72.
8. Masaki H, Shimamoto K, Inokuchi S, Ishizaki S. Treatment of Chronic Constipation using Elobixibat in a Real-World Setting: A Retrospective Cohort Study using an Electronic Medical Records Database in Japan. Curr Ther Res Clin Exp. 2023 Oct 28;99:100724.
9. Okumura Y, Kimura T, Inokuchi S, Okamoto M, Takano T, Miyake M, Kumagai Y. Real-World Hepatic Safety of Oral Acetaminophen Versus Loxoprofen/Celecoxib: Using a Nationwide Electronic Medical Record Database. J Clin Pharmacol. 2023 Jul;63(7):798-806.
10. Uno S, Midorikawa S, Inoue K, Ichikawa D, Ito T, Kuroda J, Suzuki K. Survival outcomes among patients with multiple myeloma in the era of novel agents: exploratory assessment using an electronic medical record database in Japan. PLoS One. 2023 May 31;18(5):e0285947.