ADVATEC Officially Releases 'Koekar', an AI Voice Medical Chart Creation Support Service

Key facts

  • ADVATEC Officially Releases 'Koekar', an AI Voice Medical Chart Creation Support Service
  • ADVATEC Inc. has officially launched 'Koekar', an AI voice-based medical chart creation support service. This service aims to significantly reduce doctors' documentation workload and increase patient interaction time by having AI capture conversations during consultations and automatically generate SOAP-formatted medical charts.
  • Source: PR Times
  • Date: June 11, 2026

Direct answer

ADVATEC Inc. has officially launched 'Koekar', an AI voice-based medical chart creation support service. This service aims to significantly reduce doctors' documentation workload and increase patient interaction time by having AI capture conversations during consultations and automatically generate SOAP-formatted medical charts.

Citation
ADVATEC Officially Releases 'Koekar', an AI Voice Medical Chart Creation Support Service (June 11, 2026), PR Times
Source
PR Times
Date
June 11, 2026
ADVATEC Inc. has officially launched 'Koekar', an AI voice-based medical chart creation support service. This service aims to significantly reduce doctors' documentation workload and increase patient interaction time by having AI capture conversations during consultations and automatically generate SOAP-formatted medical charts.

📋 Article Processing Timeline

  • 📰 Published: June 11, 2026 at 10:00
  • 🔍 Collected: June 11, 2026 at 10:34 (34 min after Published)
  • 🤖 AI Analyzed: June 12, 2026 at 16:52 (30h 17m after Collected)
ADVATEC Inc. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Izumi Ikeda; hereinafter referred to as "Our Company") has officially launched the AI voice medical chart creation support service, 'Koekar'.

Koekar is an AI medical assistant that captures conversations during consultations and automatically generates medical charts in SOAP format. It also accumulates and utilizes past history for each patient. While automating daily record-keeping tasks, it supports everything from understanding the chronological changes of chronic diseases to automatically generating referral letters, creating a medical environment where doctors can focus on patients.

Background of 'Koekar' Development and Track Record in Prior Release

The digitalization of medical sites is rapidly accelerating, with the government aiming for 100% electronic health record adoption by 2030 under the "Medical DX Reiwa Vision 2030." However, the reality is that doctors are not only losing significant time to daily system input tasks but also have their face-to-face time with patients reduced due to the constant need to type on screens. To update these record-keeping tasks in medical settings, 'Koekar' was launched by our founding members, including former hospital pharmacists.

As a result of adoption by approximately 200 hospitals and clinics prior to the official release, the following changes have been observed (※1):

- Charting time reduced by 70%, saving approximately 600 hours per doctor annually.

- AI voice recognition accuracy exceeds 90%.

- 80% of doctors reported reduced fatigue.

- 80% of clinics felt an improvement in patient satisfaction.

Through the prior release, significant reduction in workload and increased time spent with patients were confirmed. Based on feedback from early adopters, new features have been implemented, and the service is now officially available.

(※1: Average figures from Koekar adopting institutions, self-researched)

'Koekar' Service Overview

Koekar is a medical-specialized voice AI service where consultation conversations become medical charts. It captures consultation audio with high precision and automatically generates SOAP-formatted medical charts in just a few seconds. Furthermore, based on accumulated past consultation data, the AI assists with pre-consultation preparation and document creation, bringing the input load at the site close to zero.

Key Features:

1. Accurate with Medical Terms and Abbreviations: Automatic SOAP Format Generation with One Click

Simply start recording at the beginning of the consultation and stop at the end, and the AI understands the context of the conversation to automatically generate a SOAP-formatted medical chart. Our proprietary medical dictionary and high-precision voice recognition prevent missed information or omissions, contributing to appropriate medical fee calculations.

2. Utilization of Past History and Automatic Summaries

Accumulates past patient records, allowing for instant confirmation of symptom progression over time. In addition to smooth situation assessment before consultations, it enables automatic generation of referral letters (medical information provision documents) to other institutions and summaries utilizing past records, reducing long hours of desk work.

3. "Clinic-Wide, Fixed Fee (Usage-Based) Model" Supporting Team Medicine

Not only for doctor's consultations but also for nurse's pre-interview, pharmacist's medication guidance, and conference minute creation, all staff working at the clinic can use it within a fixed fee (based on recording time), enhancing the productivity of the entire team.

Comment from Supervising Physician

Dr. Tomohiro Myojo

Special Appointed Vice Director, Edogawa Hospital / Director, Department of Hematology-Oncology

Concurrent Director, Precision Medicine Center

Medical Supervisor for the movie "Cells at Work!"

What constitutes a good clinician? Isn't it listening carefully to the patient in front of you, reading their expressions, and engaging in dialogue?

However, in actual clinical practice, many doctors are currently looking at their electronic health record monitors. By using Koekar, we can regain the "dialogue with patients that should be."

Furthermore, it is an extremely practical product created by a specialized team who deeply understands the thought process of physicians.

Voices from Prior Adopting Institutions

Koekar has already been adopted by approximately 200 hospitals and clinics within six months of its prior release.

Mr. Kurato Wada, Director, Wada Internal Medicine and Gastroenterology Clinic

Previously, I spent a lot of time looking at the monitor for chart input, and there were times when I felt I wasn't looking sufficiently at the patient's face. After implementing Koekar, the effort of typing has been greatly reduced, and I can now face patients properly. The completeness of the medical charts has also improved, and when reviewing them, I can accurately grasp the patient's statements and assessments, halving my preparation time for the next day from one hour to about 30 minutes. I wholeheartedly recommend it to doctors who want to value dialogue with their patients.

Mr. Yuki Goto, Director, Goto ENT Clinic

When we transitioned from paper charts upon inheriting the practice, our scribe (dictation input staff) struggled with typing, resulting in thin records or asking patients the same questions. After implementation, the scribe's input burden was reduced by about 80%, and the chart content became significantly more substantial. Easily reviewing past records eliminated duplicate questions and streamlined coordination with reception and administrative staff. I particularly recommend it for clinics transitioning from paper charts.

Future Outlook

Koekar will continue to strengthen API integration with web consultations and various electronic health record systems to expand the scope of data that can be acquired. We aim to become the infrastructure for hospitals and clinics, not just assisting with chart input but also supporting physicians' thinking as an "AI Medical Assistant." We will promote our business towards realizing a sustainable Japanese medical environment where doctors can devote 100% of their attention to patients, freeing healthcare professionals from recording tasks.

Regarding Eligibility for "Digitalization and AI Introduction Subsidy 2026"

The "Digitalization and AI Introduction Subsidy 2026" (formerly IT Introduction Subsidy), managed by the Ministry of Economy, Trade and Industry and the Small and Medium Enterprise Agency, is a system that supports the introduction costs of AI and other IT tools aimed at improving the labor productivity of small and medium-sized enterprises and small businesses. 'Koekar' is eligible for this subsidy, and up to half of the introduction costs can be subsidized. Please feel free to contact us.

Invitation for Free Demo

We are currently offering free demos of Koekar.

If you are interested, please contact us via the link below.

Demo Reservation Form

https://info.coekar.com/#contact-form

Company Information

Headquarters Location: 8F Daiwa Shibuya Shinsen Building, 9-1 Shinsencho, Shibuya-ku, Tokyo

Representative: Representative Director, Izumi Ikeda

Established: July 2020

Capital: 709,982,000 yen (including capital reserve)

Number of Employees: 37

Business Description: Development and provision of the AI voice medical chart creation support service 'Koekar', operation of the AI influencer platform 'Beee', SNS operation agency and SNS consulting business, Web page production business / EC production and EC consulting business.

Company HP: https://www.advatec.co.jp/

'Koekar' Product Description Page: https://info.coekar.com/

FAQ

What problems does 'Koekar' solve?

It solves the problem of doctors being overwhelmed by documentation tasks, reducing time spent with patients. AI automates chart creation, allowing doctors to focus on core medical practice.

What are the benefits of implementing 'Koekar'?

It contributes to operational efficiency and improved quality of care through significant reduction in documentation time, reduced doctor fatigue, increased patient satisfaction, and support for referral letter generation.

What technology is 'Koekar' based on?

Based on advanced voice recognition technology and a proprietary medical dictionary, it accurately and automatically generates SOAP-formatted medical charts from consultation conversations.

Is 'Koekar' eligible for subsidies?

Yes, it is eligible for the 'Digitalization and AI Introduction Subsidy 2026', with up to half of the introduction costs subsidized.

What are the future plans for 'Koekar'?

It aims to enhance integration with web consultations and electronic health record systems, expand functions as an AI medical assistant, and contribute to a sustainable medical environment.