Dr.JOY Inc. (Toranomon, Minato-ku, Tokyo; CEO: Hiroaki Ishimatsu; hereinafter referred to as Dr.JOY) has released the two-day luncheon seminar videos from the "28th Annual Meeting of the Japan Society for Healthcare Management" (Venue: Port Messe Nagoya), held on May 29-30, 2026, on the official Dr.JOY YouTube channel.
At this seminar, we presented and shared the latest initiatives and specific results of operational efficiency improvements through the introduction of AI-powered systems (AI Phone, Acceptance Call AI, Smart Reception) on the themes of improving the acceptance rate of referred patients in hospital management and "Nursing DX" to reduce interruptions in nursing operations. On the first day, we announced "Acceptance Call AI," a new service that visualizes the reality of rejections, which have been "tacit knowledge" until now, by automatically recording and transcribing calls for referrals and emergencies and digitizing the reasons for acceptance decisions. This service is scheduled for beta release in September 2026.
Overview of the Academic Conference and Seminar
The "28th Annual Meeting of the Japan Society for Healthcare Management" is an academic conference themed around management and operational improvements in healthcare settings. Dr.JOY held luncheon seminars over two days at this conference. On the first day, the theme was the structure of the "acceptance rate (the proportion of referred patients accepted)," and on the second day, the theme was operational improvements in nursing (Nursing DX). Approximately 225 people attended the seminar on the first day, and approximately 400 people attended on the second day.
Name: 28th Annual Meeting of the Japan Society for Healthcare Management
Dates: May 29 (Fri), 2026 - May 30 (Sat), 2026
Venue: Port Messe Nagoya
<Day 1> "Why are referred patients rejected? - The structure and redesign of acceptance rates - "
Moderator: Hiroaki Ishimatsu (CEO, Dr.JOY Inc., Physician)
Speaker: Noriyuki Ashihara (Director, Corporate Strategy Office, Corporate Headquarters, Yuai Social Medical Corporation)
In the seminar on the first day, discussions were held with Mr. Ashihara of Yuai General Hospital on the theme of "Why referred patients are rejected: The structure and redesign of acceptance rates."
[Challenge]: While the acceptance rate of emergency transport is easily visualized, the acceptance status of referred patients is difficult to quantify, and it was pointed out that many cases are rejected due to "inpatient bias (such as subjective judgment by physicians or misjudgment of bed status)." It is structurally challenging because the reasons for rejection are difficult to record, and the judgments made by the staff tend to become "tacit knowledge."
[Countermeasures and Results]: In response to this challenge, the use of "Acceptance Call AI," a new service that automatically transcribes conversations using AI and digitizes rejection reasons, was proposed and announced. The mechanism for improving bed occupancy rates and hospital management by visualizing the number and background of difficult-to-accept cases as quantitative data, thereby stimulating discussion in management meetings and departmental meetings, was demonstrated.
"Acceptance Call AI" is scheduled for beta release in September 2026. Dr.JOY will work with healthcare institutions to reduce the burden on staff involved in accepting referred and emergency patients and improve the quality of medical collaboration through repeated verification.
<Day 2> "Nursing DX - Creating a system to reduce interruptions - "
Moderator: Hiroaki Ishimatsu (CEO, Dr.JOY Inc., Physician)
Speakers: Yuichiro Aizu (Todachuo General Hospital) / Ryu Matsumoto (Imamura General Hospital) / Kaoru Kina (Urasoe General Hospital)
On the second day, the theme was how to reduce frequent "interruptions" in nursing operations, and representatives from three facilities that have introduced Dr.JOY's Smart Reception or pre-visit consultation presented their initiatives and results.
▼ Todachuo General Hospital - Operational improvements and reception relaxation through Smart Reception
Implementation Details: Introduced the "Smart Reception" system for self-service reception procedures (integrated management of reception information, online pre-application)
Results: Reduced phone calls related to reception appointments by up to 75%. Reduced reception staff from 2-3 to 1 person, creating a net cost reduction of approximately 178,000 yen per month. With the establishment of a security infrastructure, the reception time was extended (15 minutes -> 30 minutes).
▼ Imamura General Hospital - Support for the elderly through Smart Reception + AI Phone
Implementation Details: Introduced "Smart Reception" to prevent interruptions in nursing operations. Additionally, for elderly individuals who find web reservations difficult, "AI Phone Reservations" using voice guidance were introduced.
Results: Reduced reception time per patient handled by nurses from approximately 6 minutes to 19 seconds, a 95% reduction. The AI phone system enabled elderly individuals in their 90s to make reception appointments independently via phone, achieving both "DX that leaves no one behind" and operational efficiency.
▼ Urasoe General Hospital - Dramatic reduction in response time through pre-visit AI consultation phone
Implementation Details: Introduced the "Pre-visit AI Consultation Phone" to address the issue of operational interruptions caused by direct calls to outpatient nurses. The AI handles initial responses, automatically performing symptom assessment, urgency determination, and key point report creation.
Results: By having the AI handle the initial response, the occurrence of phone waiting times was suppressed, leading to an improvement in the acceptance rate. The need to conduct interviews from scratch was eliminated, and the use of key point reports significantly reduced the average phone response time per case from around 10 minutes to 4 minutes, greatly alleviating the psychological and mental burden on nurses.
*The figures above are examples of the introduction effects at each facility (actual measured values from each facility). Effects may vary depending on the introduction environment, operational system, duration, etc., and similar effects are not guaranteed for all facilities.
How to Watch Seminar Videos
Seminar lecture videos from both days can be viewed on the official Dr.JOY YouTube channel.
▼ Day 1 (5/29) "Why are referred patients rejected? - The structure and redesign of acceptance rates - "
▼ Day 2 (5/30) "Nursing DX - Creating a system to reduce interruptions - "
Company Overview
● Company Name: Dr.JOY Inc.
● Headquarters Location: Toranomon Hills Station Tower 17F, 2-6-1 Toranomon, Minato-ku, Tokyo
● Established: November 2013
● Business Activities: Software development and operation in the medical field / Provision of medical and pharmaceutical information to medical institutions
● Official Website: https://drjoy.co.jp/
FACT BOX
- Source: PR TIMES
- Category: 製品発表