New Standard for AI-Enabling Electronic Medical Records with 'One Button'

MedTech Group and AI Data have launched "AI Hippo Medical Loop," an AI platform that integrates with existing electronic medical records (EMRs) via API, allowing for AI functionality to be added in 30 days without EMR modification. This innovation addresses challenges in healthcare like increasing workload for medical staff and the need for data utilization, offering real-time AI support during consultations, improving medical quality, and providing a private, secure AI assistant called Chat Hippo. The platform aims to standardize medical AI and is currently undergoing multiple PoC projects with EMR manufacturers and medical institutions.
product_launchNQ 100/100出典:PR Times

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  • 📰 Published: April 6, 2026 at 18:45
  • 🔍 Collected: April 6, 2026 at 10:31
  • 🤖 AI Analyzed: April 17, 2026 at 13:21 (266h 50m after Collected)

~ Ahead of the medical fee revision, a medical AI platform that can add AI functions in 30 days without changing electronic medical records ~

MedTech Group Corporation (Headquarters: Minato-ku, Tokyo; President and CEO: Kiyotaka Maeda; hereinafter referred to as MedTech G), a medical AI and hospital AI PMO company, and AI Data Corporation (Headquarters: Minato-ku, Tokyo; President and CEO: Takahito Sasaki; hereinafter referred to as AI Data), a company specializing in the utilization of corporate data and AI, have commenced API-based provision of "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


Ahead of the 2026 medical fee revision, the following issues are becoming apparent in medical settings:

  ・Increased workload for doctors and nurses

  ・Sophistication of medical safety measures

  ・Growing necessity for utilizing medical data

On the other hand,

  ・EMR modifications require time and cost

  ・AI implementation faces challenges with security and access control

  ・Many medical AI products are limited to voice input, SOAP, and summary generation.

For these reasons, many medical institutions and EMR vendors continue to be hesitant about introducing AI.

■ What is "AI Hippo Medical Loop"?

"AI Hippo Medical Loop" is a medical AI platform that adds AI functions on top of electronic medical records.

Since AI functions can be added via API integration without changing the electronic medical record, it enables AI utilization while maintaining existing systems.

■ Features

  ① AI-enabling without EMR modification


  Through API integration, AI functions are added with the following structure:

  Electronic Medical Record

  ↓

  Button

  ↓

  AI Hippo Medical Loop


  This makes it possible to add AI functions while maintaining the existing system.


  ② Real-time AI usable during consultations

   ・Voice input → Automatic SOAP generation

   ・Consultation content → Search for tests, medications, etc. Consultation support

   ・Nursing record creation → Q&A (Chat Hippo)


AI supports doctors in real-time without interrupting the flow of consultation. In trials, there have been cases where the time taken to create nursing records was reduced from approximately 2 hours to about 30 minutes.


  ③ Improvement and standardization of medical quality

   ・Medical Loop

  By supporting decisions based on medical guidelines, it achieves improved and standardized medical quality.

  ④ PoC implementation possible in 30 days

   ・No UI changes

   ・Integration with existing EMRs

   ・Small-scale implementation possible


  Rapid implementation is possible, allowing for quick adaptation to AI integration before medical fee revisions.

  ⑤ Chat Hippo (In-hospital dedicated AIChat)

  This is an in-hospital dedicated AI strategist that medical staff can easily consult for questions related to medical care and on-site decision-making.

   ・Highlights the risk of oversight based on patient changes and nursing records

   ・Responds to on-site concerns beyond medical care, applicable in a wide range of situations

   ・Operates in a private in-hospital environment, preventing leakage of personal and confidential information to external parties

   ・Inputted data is not used for training external AI, designed for secure management within the hospital

   ・Functions as a "strategist" accessible to medical staff at any time


  It stays close to the front lines and supports medical staff in their judgments.



  ⑥ Drive Loop (Human in the Loop type・Medical knowledge circulation platform)


  This is an in-hospital dedicated knowledge base that circulates the knowledge and experience of medical teams.


  ・An in-hospital dedicated knowledge base where information and materials obtained from daily work can be accumulated and shared freely

  ・Creates a loop where knowledge generated on-site, such as consultations with Chat Hippo, drug information, nursing summaries, and various committee materials, is accumulated and shared among staff and fed back to the next on-site situation

  ・Allows access to necessary information at any time by properly using team shared folders and individual folders

  ・Utilized for identifying issues in committee activities and inheriting knowledge, accumulating on-site experience and wisdom as an organizational asset

AI presents, humans judge, and the results are then fed back to the現場—this is a loop specifically for medical settings, focused on medical safety and improving medical quality.

■ Value for EMR manufacturers

"AI Hippo Medical Loop" is designed as an AI function extension layer, not a replacement for electronic medical records.

This enables:

  ・AI compatibility while retaining existing customers

  ・Addition of functions with reduced development costs

  ・Differentiation from competitors

■ Representative Comment

Kiyotaka Maeda, CEO, MedTech Group Corporation

"There is no need to change your electronic medical record system. By simply adding one button, it becomes an AI-powered EMR. Future medical care will evolve into a structure where data recorded in EMRs is utilized with AI."

■ Future Developments

Currently, multiple PoC projects are underway in collaboration with EMR manufacturers and medical institutions.

Future plans include:

 ・Strengthening partnerships with EMR manufacturers

 ・Standardization of medical AI

 ・Overseas expansion

Contact us here

https://form.run/@askaihippo

■ Free PoC and Introduction Consultation for EMR Vendors Now Open

We are accepting consultations for EMR integration and PoC support (limited to 3 hospitals).

We invite interested businesses considering building an AI platform utilizing in-hospital EMRs to contact us.

■ About MedTechGroup Corporation

Name: MedTechGroup Corporation Established: February 2019 Capital: 40 million JPY

Representative Director and President: Kiyotaka Maeda

Location: Toranomon 5-13-1, Toranomon 40MT Bldg. 7F, Minato-ku, Tokyo

URL: https://www.medtechgroup.co.jp/

MedTech Group Corporation was established in 2019 from the "Ohisama Group," a medical integrated group that operates hospitals, clinics, home medical care, and nursing care, with the philosophy of "A medical AI company that transforms medical data into value and supports both front-line operations and management."

The company integrates AI Data Corporation's advanced AI technology base with the Ohisama Group's medical site expertise to address structural issues such as doctor shortages and information fragmentation in local and small-to-medium-sized hospitals. As its core product, it develops and provides "AI Hippo," a private AI dedicated to medical use.

AI Hippo is a decision-support AI designed to aid medical professionals' thinking, based on its practical application in medical settings. It allows for implementation within 30 days without requiring EMR modification, and structurally blocks external data leakage through a private environment where data remains within the hospital. Based on the "Human in the Loop" philosophy, it strictly adheres to a design where medical professionals always make the final judgment. In verified pilot facilities, quantitative results have been confirmed in clinical settings, such as significantly reducing nursing record creation time from approximately 2 hours to 30 minutes.