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Specific Therapeutic Area
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Annual Data Provision Service

Provision of Data for Specific Domains Based on Client Needs
Specific Therapeutic Area

This service offers data limited to specific disease areas. Requests covering multiple disease areas can also be accommodated as needed.

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EBM Medical Database

This tool leverages anonymized data collected from medical institutions including DPC and medical claims (receipt) data collected and processed into a large-scale database. It is widely used by pharmaceutical companies, medical device manufacturers, and other healthcare-related businesses for purposes such as marketing research and clinical studies.

construction of the Medical Database for Specific Therapeutic Area

Service Overview

For one year from the contract date, clients can access data limited to specific domains selected from MDV's available dataset.
Data can be used company-wide for purposes such as marketing, research, and development. Delivery is provided in text or CSV format.

Examples of Extracted Data

  • Malignant Tumor
  • Diabetes
  • Kidney Disease
  • Patients Receiving Cardiac Therapeutics
  • Patients Undergoing Joint Replacement Surgery

Multiple disease areas can be combined.
Drugs or medical procedures can also be designated as specific domains.

Data Provided

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Disease Data

All disease-related data maintained by our company is delivered in a disease name table.
The data is updated monthly and covers the period from April 2008 to the most recent month.

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Prescription Data

All prescription data maintained by our company will be delivered in a prescription table.
This includes details such as dose and number of prescription days.

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Medical Procedure Data

All medical procedure data maintained by our company will be delivered in a medical procedure table.
This includes information such as the number of procedures and associated costs.

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Blood Test Data

All blood test data maintained by our company will be delivered in a laboratory test value table.
This includes numerical results, units, and other related data.

Data Table Overview

We will deliver data extracted in accordance with our standard data format.
Data is broadly divided into three main tables: the Disease Name Table, the Medical Procedure Table, and the Test Value Table.

Data Table Overview sample

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Before Using the Data

Purpose Clarification

After discussing your intended research use for the dataset, we'll recommend a suitable patient cohort for extraction based on your study objectives.

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Definition Review

You'll have the opportunity to review the proposed dataset specifications, including patient cohort definitions, tables, and data columns.

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Contract

Following quotation approval, a signed contract will be necessary. We’ll submit an initial draft for your consideration.

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Delivery

Given the expected size of the dataset, we plan to deliver the files via the cloud.

FAQs

Before use

Yes, we are delighted to provide these details as part of our complimentary support service.

About service

Yes, we have contributed to over 700 published papers. Please refer to our Case Studies page for more details.
After receiving your order, it usually takes within 2 weeks.
We do not provide statistical analysis or writing services in-house, so we would outsource this to one of our trusted partners for you.
Yes, provided that all usage aligns with the originally agreed-upon scope. We encourage diverse applications within those boundaries.
Yes, it is possible. Before disclosure, we require a signed third-party data provision agreement, and a review of all materials to be disclosed.
Yes, all data can be provided in English as our database’s master version is maintained in English.

About the Hospital data

Currently, we have a coverage rate of approximately 30% of the 1,786 DPC-designated hospitals nationwide (as of December 31, 2024).
We collect insurance claim data for both inpatient and outpatient visits.
They are mainly advanced treatment hospitals, so they tend to have a higher number of patients with more severe conditions compared to clinics. However, there is also a significant number of patients in primary care areas, such as those with lifestyle-related diseases, and we receive many requests for analysis.
Our data covers DPC hospitals nationwide, and the age and gender distribution of patients is similar to the survey published by the Ministry of Health, Labour and Welfare regarding the patient distribution in medical institutions across Japan. Therefore, it is considered to be representative.
Since it is the largest database in Japan with over 50 million patients, the data has been utilized in research in different fields, including intractable and rare diseases.
Update is performed at the end of every month, and the data two months prior to the update will be the latest data. (For example, the data of January 2021 will be available after the update performed at the end of March 2021)
Given the large scale of the database, we are confident that we can secure a robust number of cases for research in any disease area.
The web tool does not currently include data fields for assessing disease severity. However, through a separate service, it is possible to obtain data fields that allow for the assessment of severity in certain disease areas.
There is a function in MDV analyzer that allows one to perform extrapolation to obtain results at the national level.
Unfortunately, our database only includes medical information that is eligible for insurance reimbursement, as it is based on claim data.
Unfortunately, our database only includes medical information that is eligible for insurance reimbursement, as it is based on claim data.

About Health insurance data

It is sourced from 223 health insurance societies across Japan. (As of January 2025)
We collect insurance claim data for both inpatient and outpatient visits.
Currently, health checkup data is not available.
Although it is not possible to link the hospital data and the health insurance data, it is possible to extract data under exactly the same conditions from each database and analyze differences in trends, for example.
Since clinic data makes up 80% of the database, we are particularly strong in areas where treatment is primarily provided at clinics.
With its high traceability, patients’ record can be traced even if they transferred to another hospital without being counted as a new patient, resulting in an outstanding advantage on creating treatment flows.
We believe this is suitable for research that does not require elderly patient, or studies on treatments between clinics and hospitals.
As long as a patient is affiliated with the same health insurance association, it can be tracked.
This response needs to be update as the extrapolication function is also working for health insurance data.
Unfortunately, our database only includes medical information that is eligible for insurance reimbursement, as it is based on claim data.

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