"AI Utilization" Becomes an Evaluation Target in Medical Fee Revisions: What is the AI that Achieved a 75% Reduction in Nursing Records?
MedTech Group and AI Data have launched voice recording functions for physician consultations and nursing care on their medical AI platform, "AI Hippo." This new feature aims to significantly reduce the administrative burden on medical staff, demonstrating a 75% reduction in nursing record creation time while ensuring data privacy within the hospital.
📋 Article Processing Timeline
- 📰 Published: April 15, 2026 at 19:35
- 🔍 Collected: April 15, 2026 at 11:01
- 🤖 AI Analyzed: April 15, 2026 at 14:33 (3h 31m after Collected)
MedTech Group Co., Ltd. (Headquarters: Minato-ku, Tokyo; President and CEO: Kiyotaka Maeda; hereinafter "MedTech G"), a medical AI and hospital AI PMO company, and AI Data Co., Ltd. (Headquarters: Minato-ku, Tokyo; President and CEO: Takahito Sasaki; hereinafter "AI Data"), a company specializing in the utilization of corporate data and AI, have launched physician consultation voice recording and nursing voice chronological recording functions on "AI Hippo," an AI platform equipped with a new AI function "Medical Loop" aimed at supporting decision-making in medical settings.
▼ Medical AI Platform "AI Hippo Medical Loop"
https://www.aihippo.ai
■ Background - Structural Issues Faced by Medical Settings
In current medical settings, the following issues are becoming increasingly serious:
- Recording tasks of doctors and nurses are putting pressure on their primary medical treatment and care duties.
- "Isolation in decision-making" and lack of information during night shifts and non-specialist consultations.
- Amid chronic labor shortages, quantitative proof of operational efficiency improvements is required.
Under these circumstances, "operational efficiency improvement" has been positioned as a common evaluation axis in the 2026 medical fee revisions and subsidies for digitalization and AI introduction, marking an era where quantitative results through AI utilization are demanded.
However, many medical institutions still face barriers such as "where to start" and "how to show the rationale for introduction."
■ What is the AI Hippo Voice Recording Function?
The voice recording function of AI Hippo Medical Loop directly addresses these issues.
(1) Physician Consultation Voice Recording
- Automatically recognizes voice during consultations and automatically generates medical records in SOAP format.
- Starts with a single button on the electronic medical record (EMR). Does not interrupt the flow of medical treatment.
- From the generated SOAP, it is also possible to search for recommended questions and medical information using Chat HIPPO.
- Quickly creates structured records even during non-specialist consultations and night shifts.
(2) Nursing Voice Chronological Recording
- Converts verbal interactions during patient care directly into chronological records.
- Significantly reduces record creation time, securing time to face patients.
- Automatically generates nursing summaries. Improves the quality of handovers.
[Demonstration Data] Nursing record creation time: Approx. 2 hours -> Approx. 30 minutes (Approx. 75% reduction)
This track record can also be utilized as a "quantitative rationale for operational efficiency improvement" in subsidy applications.
■ Features
- No EMR modification required - Simply add to existing systems via API.
- PoC introduction possible within 30 days - Corresponds to medical fee revision and subsidy application schedules.
- In-hospital dedicated private environment - Data does not leave the hospital. No learning use for external AI.
- Human in the Loop - Designed so that the final decision is always made by medical professionals.
■ Representative Comment
Kiyotaka Maeda, CEO of MedTech Group Co., Ltd.
"Reducing recording tasks is not just about efficiency. It is about doctors and nurses regaining the time to concentrate on their primary medical duties. And we are now in an era where such efforts align with the requirements for medical fees and subsidies. AI Hippo demonstrates the answer with on-site numbers."
■ Future Developments
Currently, we are advancing multiple PoC projects jointly with EMR manufacturers and medical institutions.
In the future, we plan to:
- Strengthen collaboration with EMR manufacturers
- Standardize medical AI
For inquiries, please contact: support@medtechgroup.co.jp
■ For EMR Vendors: Free PoC and Introduction Consultations Now Accepted
We are accepting consultations for EMR integration and PoC support. (Limited to 3 hospitals)
Business entities interested in building an AI platform utilizing in-hospital EMRs are encouraged to consult with us.
■ About MedTech Group Co., Ltd.
Name: MedTech Group Co., Ltd. / Established: February 2019 / Capital: 40 million yen
President and CEO: Kiyotaka Maeda
Location: 7F Toranomon 40MT Building, 5-13-1 Toranomon, Minato-ku, Tokyo
URL: https://www.medtechgroup.co.jp/
MedTech Group Co., Ltd. was established in 2019 from the "Ohisama Group," an integrated medical group operating hospitals, clinics, home medical care, and nursing care, with the philosophy of being a "medical AI company that turns medical data into value and supports the frontlines and management."
The company combines the advanced AI technology foundation of AI Data Co., Ltd. with the medical frontline knowledge possessed by the Ohisama Group to tackle structural issues such as doctor shortages and information fragmentation in regional and small-to-medium-sized hospitals. As its core product, it develops and provides "AI Hippo," a private AI dedicated to healthcare.
AI Hippo is a decision-making support AI designed on the premise of practical operation in medical settings to support the thinking of medical professionals. It realizes introduction within 30 days without requiring EMR modifications, and structurally blocks data leakage to the outside through a private environment that completes data within the hospital. Based on the philosophy of Human in the Loop, it is thoroughly designed so that the final decision is always made by medical professionals. At demonstration introduction facilities, quantitative results in clinical settings have also been confirmed, such as significantly reducing nursing record creation time from approximately 2 hours to 30 minutes.
▼ Medical AI Platform "AI Hippo Medical Loop"
https://www.aihippo.ai
■ Background - Structural Issues Faced by Medical Settings
In current medical settings, the following issues are becoming increasingly serious:
- Recording tasks of doctors and nurses are putting pressure on their primary medical treatment and care duties.
- "Isolation in decision-making" and lack of information during night shifts and non-specialist consultations.
- Amid chronic labor shortages, quantitative proof of operational efficiency improvements is required.
Under these circumstances, "operational efficiency improvement" has been positioned as a common evaluation axis in the 2026 medical fee revisions and subsidies for digitalization and AI introduction, marking an era where quantitative results through AI utilization are demanded.
However, many medical institutions still face barriers such as "where to start" and "how to show the rationale for introduction."
■ What is the AI Hippo Voice Recording Function?
The voice recording function of AI Hippo Medical Loop directly addresses these issues.
(1) Physician Consultation Voice Recording
- Automatically recognizes voice during consultations and automatically generates medical records in SOAP format.
- Starts with a single button on the electronic medical record (EMR). Does not interrupt the flow of medical treatment.
- From the generated SOAP, it is also possible to search for recommended questions and medical information using Chat HIPPO.
- Quickly creates structured records even during non-specialist consultations and night shifts.
(2) Nursing Voice Chronological Recording
- Converts verbal interactions during patient care directly into chronological records.
- Significantly reduces record creation time, securing time to face patients.
- Automatically generates nursing summaries. Improves the quality of handovers.
[Demonstration Data] Nursing record creation time: Approx. 2 hours -> Approx. 30 minutes (Approx. 75% reduction)
This track record can also be utilized as a "quantitative rationale for operational efficiency improvement" in subsidy applications.
■ Features
- No EMR modification required - Simply add to existing systems via API.
- PoC introduction possible within 30 days - Corresponds to medical fee revision and subsidy application schedules.
- In-hospital dedicated private environment - Data does not leave the hospital. No learning use for external AI.
- Human in the Loop - Designed so that the final decision is always made by medical professionals.
■ Representative Comment
Kiyotaka Maeda, CEO of MedTech Group Co., Ltd.
"Reducing recording tasks is not just about efficiency. It is about doctors and nurses regaining the time to concentrate on their primary medical duties. And we are now in an era where such efforts align with the requirements for medical fees and subsidies. AI Hippo demonstrates the answer with on-site numbers."
■ Future Developments
Currently, we are advancing multiple PoC projects jointly with EMR manufacturers and medical institutions.
In the future, we plan to:
- Strengthen collaboration with EMR manufacturers
- Standardize medical AI
For inquiries, please contact: support@medtechgroup.co.jp
■ For EMR Vendors: Free PoC and Introduction Consultations Now Accepted
We are accepting consultations for EMR integration and PoC support. (Limited to 3 hospitals)
Business entities interested in building an AI platform utilizing in-hospital EMRs are encouraged to consult with us.
■ About MedTech Group Co., Ltd.
Name: MedTech Group Co., Ltd. / Established: February 2019 / Capital: 40 million yen
President and CEO: Kiyotaka Maeda
Location: 7F Toranomon 40MT Building, 5-13-1 Toranomon, Minato-ku, Tokyo
URL: https://www.medtechgroup.co.jp/
MedTech Group Co., Ltd. was established in 2019 from the "Ohisama Group," an integrated medical group operating hospitals, clinics, home medical care, and nursing care, with the philosophy of being a "medical AI company that turns medical data into value and supports the frontlines and management."
The company combines the advanced AI technology foundation of AI Data Co., Ltd. with the medical frontline knowledge possessed by the Ohisama Group to tackle structural issues such as doctor shortages and information fragmentation in regional and small-to-medium-sized hospitals. As its core product, it develops and provides "AI Hippo," a private AI dedicated to healthcare.
AI Hippo is a decision-making support AI designed on the premise of practical operation in medical settings to support the thinking of medical professionals. It realizes introduction within 30 days without requiring EMR modifications, and structurally blocks data leakage to the outside through a private environment that completes data within the hospital. Based on the philosophy of Human in the Loop, it is thoroughly designed so that the final decision is always made by medical professionals. At demonstration introduction facilities, quantitative results in clinical settings have also been confirmed, such as significantly reducing nursing record creation time from approximately 2 hours to 30 minutes.