Incerto Launches Medical Office AI for Small to Medium Hospitals and Clinics, Supporting Claims Calculation, Facility Standard Management, and Voice Input Medical Records (Responding to 2026 Medical Fee Revision)
Incerto LLC today launched a medical office AI for small to medium hospitals and clinics. This AI supports claims calculation, facility standard management, and voice input medical records, responding to the 2026 medical fee revision, and aims to reduce the workload for doctors and medical staff.
📋 Article Processing Timeline
- 📰 Published: May 9, 2026 at 04:30
- 🔍 Collected: May 8, 2026 at 19:32
- 🤖 AI Analyzed: May 8, 2026 at 20:18 (46 min after Collected)
Incerto LLC (Headquarters: Arakawa-ku, Tokyo; Representative: Aoto Sato; https://www.incerto.tech/) announced today the launch of its medical office AI for small to medium hospitals, clinics, and medical practices.
This AI comprehensively supports the automatic generation of draft medical records (SOAP format) from voice input during doctors' outpatient examinations, extraction of claims calculation candidates to prevent omissions, and management of facility standards and additional requirements. Against the backdrop of the reorganization of medical DX promotion-related additions and the review of the utilization of medical affairs assistants, which will proceed with the medical fee revision scheduled for enforcement in June 2026, this system is designed to provide cross-functional support for the "writing burden" on doctors and the "claims calculation burden" on medical office staff (including medical affairs departments and medical affairs assistants in small to medium hospitals).
This AI adopts a design that allows for retrofitting without replacing existing electronic medical record (EMR) systems or claims computers (medical accounting systems). For small to medium hospitals, clinics, and medical practices, vendor lock-in is strong and the risk of system replacement is large, so the primary focus is on introducing the system in a way that doctors and medical office staff can use it along their existing workflows.
At the time of launch, claims calculation candidate extraction and facility standard/additional requirement management are immediately available. The function to generate draft medical records from doctors' voice input is planned for sequential provision within 2026, and will be rolled out while conducting phased verification with participating medical institutions.
■ Background of Provision: 2026 Medical Fee Revision and Medical Office Challenges for Small to Medium Hospitals and Clinics
The management environment for medical institutions is becoming increasingly severe due to stagnant medical service revenue, soaring personnel costs and prices, the need to respond to doctors' work style reforms (enforced April 2024), and the heavy burden of responding to the Medical DX Reiwa Vision 2030. For small to medium hospitals and clinics, the challenge of preventing omissions in medical fees that should legitimately be claimed and suppressing the burden of work on doctors and medical office staff has remained difficult to reconcile.
In the medical fee revision scheduled for enforcement in June 2026, discussions are progressing towards the reorganization and establishment of new medical DX promotion-related additions, and with the increased weight of performance-based evaluations, claims requirements are expected to become even more complex. At the same time, a review is also being discussed regarding the utilization of medical affairs assistants and their connection with the use of technology, including AI. Against these institutional trends, this AI was planned with a structure that connects the "writing side" (doctors) and the "claiming side" (medical office staff) in a continuous flow (including the work of medical affairs departments and medical affairs assistants in small to medium hospitals).
■ Challenges: Disconnection in Claims Calculation, Facility Standard Management, and Doctor's Medical Record Operations in Small to Medium Hospitals and Clinics
The following challenges are observed in the field at small to medium hospitals and clinics:
Veteran dependence for claims requirements and individual reliance for facility standard management:
For additions such as chronic disease management additions, specific disease treatment management fees, infection prevention measures additions, and requirements for each facility standard, the eligibility for claims is judged by matching the medical record content with the claims requirements. If even one veteran medical office staff member who understands the entire requirements is absent, there is a risk that claims omissions will become chronic. Continuous management of claims performance and requirement fulfillment status for each facility standard also tends to depend on the experience of the office manager/head of medical affairs (hospital) or the head of medical affairs (clinic/medical practice).
Information disconnection between the writing side and the claiming side:
Since the medical records written by doctors and the basis for claims by medical office staff are matched at the time of month-end billing, not immediately after the consultation, if a claims omission is discovered, the cost of requesting the doctor to add to the medical record is significant, and as a result, situations where claims are made with omissions remaining are likely to occur.
Cost and risk of system replacement:
In small to medium hospitals and clinics, vendor lock-in for electronic medical record (EMR) systems and claims computers is strong, and changing existing systems for AI introduction has continued to be an unrealistic option.
■ Solution: AI that Connects Doctor's Work and Claims Calculation in Small to Medium Hospitals and Clinics
This AI is designed to be consistent with the outpatient examination flow and operates in parallel with existing electronic medical record (EMR) systems and claims computers.
Using confirmed medical record entries, medical content, and treatment content as input, the AI presents claims candidates, points for confirmation, claims requirements to refer to, past assessment patterns, and points of attention regarding facility standards on the medical office staff's confirmation screen (immediate provision function). The continuous management screen for facility standards and additional requirements centralizes the claims performance for each facility standard, the status of requirement fulfillment, and changes to be confirmed each year (immediate provision function). As a sequential provision, the function to present outpatient examination voice as a SOAP format draft medical record will be rolled out within 2026.
The final judgment for medical record entries and claims will be made by doctors and medical office staff. The AI does not substitute for judgment but rather plays the role of organizing and presenting the basis for judgment, maintaining the responsibility for medical accident prevention, assessment response, and audit response with the medical institution.
■ Provided Functions
Immediate Provision (at release)
Claims omission extraction AI: Matching medical record entries with claims requirements and identifying potential omissions.
This AI comprehensively supports the automatic generation of draft medical records (SOAP format) from voice input during doctors' outpatient examinations, extraction of claims calculation candidates to prevent omissions, and management of facility standards and additional requirements. Against the backdrop of the reorganization of medical DX promotion-related additions and the review of the utilization of medical affairs assistants, which will proceed with the medical fee revision scheduled for enforcement in June 2026, this system is designed to provide cross-functional support for the "writing burden" on doctors and the "claims calculation burden" on medical office staff (including medical affairs departments and medical affairs assistants in small to medium hospitals).
This AI adopts a design that allows for retrofitting without replacing existing electronic medical record (EMR) systems or claims computers (medical accounting systems). For small to medium hospitals, clinics, and medical practices, vendor lock-in is strong and the risk of system replacement is large, so the primary focus is on introducing the system in a way that doctors and medical office staff can use it along their existing workflows.
At the time of launch, claims calculation candidate extraction and facility standard/additional requirement management are immediately available. The function to generate draft medical records from doctors' voice input is planned for sequential provision within 2026, and will be rolled out while conducting phased verification with participating medical institutions.
■ Background of Provision: 2026 Medical Fee Revision and Medical Office Challenges for Small to Medium Hospitals and Clinics
The management environment for medical institutions is becoming increasingly severe due to stagnant medical service revenue, soaring personnel costs and prices, the need to respond to doctors' work style reforms (enforced April 2024), and the heavy burden of responding to the Medical DX Reiwa Vision 2030. For small to medium hospitals and clinics, the challenge of preventing omissions in medical fees that should legitimately be claimed and suppressing the burden of work on doctors and medical office staff has remained difficult to reconcile.
In the medical fee revision scheduled for enforcement in June 2026, discussions are progressing towards the reorganization and establishment of new medical DX promotion-related additions, and with the increased weight of performance-based evaluations, claims requirements are expected to become even more complex. At the same time, a review is also being discussed regarding the utilization of medical affairs assistants and their connection with the use of technology, including AI. Against these institutional trends, this AI was planned with a structure that connects the "writing side" (doctors) and the "claiming side" (medical office staff) in a continuous flow (including the work of medical affairs departments and medical affairs assistants in small to medium hospitals).
■ Challenges: Disconnection in Claims Calculation, Facility Standard Management, and Doctor's Medical Record Operations in Small to Medium Hospitals and Clinics
The following challenges are observed in the field at small to medium hospitals and clinics:
Veteran dependence for claims requirements and individual reliance for facility standard management:
For additions such as chronic disease management additions, specific disease treatment management fees, infection prevention measures additions, and requirements for each facility standard, the eligibility for claims is judged by matching the medical record content with the claims requirements. If even one veteran medical office staff member who understands the entire requirements is absent, there is a risk that claims omissions will become chronic. Continuous management of claims performance and requirement fulfillment status for each facility standard also tends to depend on the experience of the office manager/head of medical affairs (hospital) or the head of medical affairs (clinic/medical practice).
Information disconnection between the writing side and the claiming side:
Since the medical records written by doctors and the basis for claims by medical office staff are matched at the time of month-end billing, not immediately after the consultation, if a claims omission is discovered, the cost of requesting the doctor to add to the medical record is significant, and as a result, situations where claims are made with omissions remaining are likely to occur.
Cost and risk of system replacement:
In small to medium hospitals and clinics, vendor lock-in for electronic medical record (EMR) systems and claims computers is strong, and changing existing systems for AI introduction has continued to be an unrealistic option.
■ Solution: AI that Connects Doctor's Work and Claims Calculation in Small to Medium Hospitals and Clinics
This AI is designed to be consistent with the outpatient examination flow and operates in parallel with existing electronic medical record (EMR) systems and claims computers.
Using confirmed medical record entries, medical content, and treatment content as input, the AI presents claims candidates, points for confirmation, claims requirements to refer to, past assessment patterns, and points of attention regarding facility standards on the medical office staff's confirmation screen (immediate provision function). The continuous management screen for facility standards and additional requirements centralizes the claims performance for each facility standard, the status of requirement fulfillment, and changes to be confirmed each year (immediate provision function). As a sequential provision, the function to present outpatient examination voice as a SOAP format draft medical record will be rolled out within 2026.
The final judgment for medical record entries and claims will be made by doctors and medical office staff. The AI does not substitute for judgment but rather plays the role of organizing and presenting the basis for judgment, maintaining the responsibility for medical accident prevention, assessment response, and audit response with the medical institution.
■ Provided Functions
Immediate Provision (at release)
Claims omission extraction AI: Matching medical record entries with claims requirements and identifying potential omissions.