[Oncall Co., Ltd.] [First in the medical industry] Released a fully automatic matching system for spot bites using AI
Oncall Co., Ltd. Press release: November 12, 2024 [First in the medical industry] Released a fully automatic matching system for spot bites using AI Oncall Co., Ltd.
(Representative Director: Shota Ueda, Headquarters: Minato-ku, Tokyo, hereinafter referred to as “Oncall”), which provides an IT platform for medical institutions, uses AI to completely automatically match spot bites. We have released the feature.
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Since its founding, Oncall has provided medical institutions with a spot-time job matching system for doctors and nurses, supporting flexible work styles for medical workers. As the demand for spot part-time work for medical professionals is rapidly increasing, the number of medical institutions using on-call systems is increasing year by year. During this growth process, Oncall has accumulated a huge amount of employee data. In particular, we are confident that the key to the next step will be to proactively utilize information that was not fully utilized in conventional matching systems, such as evaluation data, individual doctor/nurse skills, and work histories. Ta. Based on this valuable data, our in-house AI engineer team has been developing for several years and has completed the industry’s first “AI-based fully automatic spot bite matching system” and is now officially releasing it. Ta. This system uses the power of AI to completely automate the matching process between doctors/nurses and medical institutions, providing accuracy and speed that was not possible with conventional systems that relied on manual input or condition input. AI matching logic that supports innovation and performance The most significant feature of the new system is that AI handles the entire process of matching between medical professionals and medical institutions. Conventional systems required manual input of conditions and selection work, but with full automation using AI, various factors such as employee skills, past evaluations, desired working hours, region, etc. are analyzed in real time. Instantly perform optimal matching. This will dramatically improve the speed at which we can respond to urgent requests and spot jobs, and will allow medical institutions to quickly secure doctors and nurses who can work immediately. In addition, through pattern recognition based on tens of thousands of data, AI goes beyond simply matching conditions to provide more accurate and optimal matching based on past work experience, evaluations, and post-work performance. . We will be able to propose doctors and nurses who match the skills and work attitude required by medical institutions in the shortest possible time, making it possible to minimize mismatches in the field. Huge amount of data that supports highly accurate matching The conventional matching system provided by Oncall has accumulated a huge amount of evaluation data, work history, and desired conditions of doctors and nurses over many years of operation. This data is updated daily based on feedback from medical institutions, and the AI algorithm continues to learn, so the more you use the system, the more accurate the matching will continue to be. This learning function enables more sophisticated matching as time passes, realizing services that more accurately capture the needs of both medical institutions and doctors and nurses. Benefits in the medical field This new system will greatly contribute to improving the operational efficiency of medical institutions. In particular, in situations where urgent recruitment or temporary staffing is required, AI instantly selects the most suitable doctor or nurse, eliminating the need for repeated manual searches and confirmations as in the past. In addition, through precise matching using AI, candidates who best match the doctor/nurse’s specialty and working conditions are selected, ensuring that they can immediately work in the field. Furthermore, since doctors and nurses can easily find jobs that match their work preferences, they have more freedom in how they work and can manage their time more efficiently. Future prospects We are confident that the introduction of a fully automatic matching system using AI will further accelerate work style reform in the medical industry and become a powerful tool for flexibly responding to the needs of medical settings. In the future, Oncall will continue to improve its system and strive to further improve its services. By utilizing these new technologies and providing more efficient and effective services for both medical institutions and doctors and nurses, Oncall will contribute to quality improvement and work style reform in the medical industry as a whole. Masu. Please take advantage of the new “AI-based fully automatic matching system for spot bites.” ■ About On Call Co., Ltd. (
https://www.on-call.jp/ ) Oncor’s mission is to “promote the DX transformation of clinics and build social infrastructure for medical IT,” and use the power of digital to develop various relationships in the medical industry, which suffers from chronic labor shortages due to an aging population and a shrinking workforce. We provide two services, the “Spot Materials Platform Business” and the “Network Medical Examination Business,” to solve the problems of people, and we develop and operate a web system for medical institutions and a dedicated app for doctors and nurses in-house. I’m doing it. Corporate name: Oncall Co., Ltd. Location: 3-4-3 Mita, Minato-ku, Tokyo Business content: Development and operation of IT systems and services for medical institutions Parent company: Apo Plus Career Co., Ltd. (Quall Holdings subsidiary) [Contact information regarding this matter] Company name: Oncall Co., Ltd. Person in charge: Nishino TEL: 03-5324-2793 Email:
info@on-call.jp HP :
https://www.on-call.jp/
