Completing Clinical Records on the Go: Medical AI Platform 'AI Hippo Iryo Loop' Launches 1-Month Free Trial for Limited 3 Facilities

MedTech Group (Headquarters: Minato-ku, Tokyo; President: Kiyotaka Maeda), an AI firm specializing in medical and hospital AI PMO services, has launched a 1-month free trial for three selected medical facilities for its AI platform 'AI Hippo Iryo Loop,' which drastically reduces clinical documentation burdens. The program aims to eliminate 'catch-up documentation' for home-visit physicians and transition to a more efficient 'structural medical care' system.

A pilot program is currently underway at a hospital in Kanagawa Prefecture, where clinicians are already seeing significant improvements in documentation efficiency.

## Background: Structural Issues of Post-Consultation Documentation
Home-visit medicine faces challenges where clinical recording is concentrated after travel or returning to the clinic, leading to inconsistencies and overtime. These are structural issues stemming from the separation of consultation and documentation.

## Overview: Completing Records During the Consultation
The 'Voice x Summarization' function is designed to complete documentation during the consultation or travel, allowing records to be finished just by speaking.

## Key Features
- Automatic transcription via voice input
- Medical-context-aware summarization and organization
- Conversion into chart formats
- Drafting of home-visit reports and collaboration documents
- Point extraction for clinical handovers

## About AI Hippo Iryo Loop
This platform includes five functional groups: Voice/Summarization, Decision Support, Education/Search, Knowledge Integration, and Learning Organization, supporting a transition from 'effort-based medicine' to 'structure-based medicine.'

## 1-Month Free Trial Campaign for 3 Facilities
- Offer: 1 month free (initial and monthly fees)
- Eligibility: Medical institutions and clinics
- Features: Reduction in 'after-the-fact' writing, 75% reduction in nursing documentation time, no EHR modification required, and potential for small-scale implementation.