Japan healthcare data · Facilities and corporations
Hospitals, clinics, dental practices, pharmacies, long-term care and disability services — each as its own database, and all of them joined to the operating corporation above and, for hospitals, to the physicians working inside. Delivered as data you load into your own systems, not as a portal you log into.
SCUEL 施設・法人データベース
Japanese public registers publish each of these layers separately, under different identifiers, on different update cycles. Joining them is the work.
The join is the product. Any one layer can be assembled from public sources with enough effort; keeping all four consistent through mergers, closures and renamings is what takes a standing team.
Each is available on its own. Most clients start with one care setting and add others as their target list widens.
Clinical function, patients and physicians by department, surgical and diagnostic test volumes, specialist headcount, and medical revenue.
The characteristics of community-based clinics: opening hours, the range of care they can provide, and their local role.
From general dentistry to specialist treatment, including each practice's focus and its treatment equipment.
Prescription volumes, whether the pharmacy supports home care, and which specialist medicines it handles.
Services offered, users and capacity, staffing, and the care-fee add-ons each provider claims.
Service type, users and capacity, and staffing for disability support providers.
Municipality-level context, such as which vaccinations are subsidised where, and regional healthcare plans.
| Question | Datasets involved |
|---|---|
| Which hospitals treat enough patients with this condition to be worth calling on? | Patients by department · Intractable disease patients · Surgical and test volumes |
| Which facilities belong to the same group, so we approach the group rather than the site? | Medical group · Corporation |
| Which hospitals have the financial headroom to invest, and when is their system due for replacement? | Balance sheet and income statement · Electronic medical record installation date |
| Which pharmacies handle enough prescriptions, and which of them support home care? | Pharmacy database |
| How does care capacity vary across a region we are considering entering? | Beds · Inpatients · Long-term care capacity |
| Item | Standard |
|---|---|
| Update cycle | Facility basics monthly. Corporate information every six months. Annual attributes such as surgical volume, inpatient counts and medical revenue once a year. Cycles differ by dataset. |
| Lead time | Two weeks as standard. Tell us if you need it sooner. |
| Format | CSV, UTF-8, tab-separated. |
| Transfer | OneDrive or FTPS as standard. Upload to your AWS S3 bucket on request. |
| Change files | A differences file against your previous delivery, for loading into a CRM. |
| Contract | Data is delivered after the SCUEL master agreement is signed electronically. |
| Matching | Records can be matched on facility number or corporate number, and against other vendors' identifiers. Our matching service (SCUEL MDM) handles the join if you would rather not build it. |
You can start with a free sample, then run a paid trial scoped to one region or one sales territory before committing to national coverage. Depending on the region and the intended use, a non-disclosure agreement or a provisional contract may be required first. Overseas delivery terms are agreed in the contract — tell us the destination country and the intended use when you enquire, and we will confirm what we can supply before you spend anything.
Describe the facilities or the region you care about. We will tell you which datasets answer it, what they cannot answer, and what a sample would look like.
Send an enquiryOur Database Division replies in English within three business days (Japan time).