Never Interrupt a Physician's Flow.

A cloud record plus in-clinic AI

This is a next-generation, specialty-oriented EHR that combines a cloud-based chart with on-premise AI inside the clinic. Patient data is processed on site, on the premise of Japan's privacy law and the medical information system security guidelines. Exchange with other systems follows standards such as HL7 FHIR, so the record is not locked to one vendor. The product is presented here as in development.

The interface is aimed at the visit itself: fewer steps to open a chart and to write in it. AI runs inside the clinic. Patient data is not sent to an external cloud to train a model. A design target mentioned on this site is input in about three clicks and chart retrieval in under a second.

A consultation starts from what is slow or awkward in the current EHR, which data must be kept, and whether processing can stay on site. Standards-based data can be discussed for migration and integration. After the screens, the location of the on-premise AI, and who on staff will use it are agreed, the clinic moves into operation. Timing and cost depend on data volume and the in-clinic network, so there is no single price on this page.

It is meant for outpatient clinics that find the current chart slow, feel stuck in a vendor contract, worry about patient data leaving the building, or want AI without that exposure. No single specialty is required. Work on websites for dermatology, pediatrics, internal medicine, and cosmetic surgery informs the interface, and does not mean those clinics have installed this EHR. Voice input can be reviewed at the same time, or the chart can be discussed first. Decision support is framed as looking up past charts and guidelines in the moment to assist the physician, not as replacing clinical judgment. Faster screens are a design goal for seeing more patients, not a guaranteed increase. Implementation questions are accepted by email, with a reply usually within two business days. No phone number is published. Quotes are prepared individually.

How adoption starts

1. 1Share what is frustrating about the current EHR and which data must be kept
2. 2Check whether AI can stay on site and whether standards-based exchange is possible
3. 3Agree the screens and which staff will use them
4. 4Move into migration only after the quote is agreed

FAQ

Related guides

• Cloud EHR guideHow clinic directors can think about selection, cost, and security requirements.
• IT subsidy guide for clinicsWhat to check before spending on a system, including how subsidy projects fail.