People and Technology Advances Commercialization of AI-Based Imaging Examination Optimization System
- AuthorElodie
- DateDec 31, 2024
- Views323
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Seoul – June 8, 2023 –
Enterprise AI and digital transformation leader People and Technology Co., Ltd. (Co-CEOs Hong Sung-pyo and Lim Jin-soon) announced the full-scale commercialization of its AI-Based Imaging Examination Optimization System, designed to streamline hospital imaging workflows, on June 5.
About the AI-Based Imaging Examination Optimization System
This innovative solution leverages deep learning algorithms to optimize imaging examination assignments. By analyzing inputs such as patient characteristics, disease specifics, examination requirements, and equipment specifications, the system predicts examination durations and automatically allocates and recommends optimal appointment slots and devices.
Key benefits include:
- Reduced waiting times for high-cost MRI exams, enhancing operational efficiency and patient satisfaction.
- Simplified appointment booking by enabling departments and reservation centers to directly schedule imaging tests, reducing the administrative burden on imaging staff.
Development and Implementation
The solution was developed in collaboration with Hallym University Sacred Heart Hospital as part of the 2022 AI Voucher Support Project, led by the Ministry of Science and ICT and the National IT Industry Promotion Agency. Over a seven-month period, the system was designed, tested, and finalized.
A representative from Hallym University Sacred Heart Hospital shared:
"Since the launch of the tailored scheduling system based on AI-predicted durations, we have resolved inefficiencies caused by uniform examination time allocations. This has resulted in improved equipment utilization rates and greater efficiency in managing examination appointments."
Key Features and Functionality
The solution focuses on improving prediction accuracy and streamlining workflows through:
- MRI Examination Duration Prediction Models
- Available Slot Extraction for MRI Examinations
- Patient-Specific Scheduling Recommendation Models
These features address the complexity of variables in imaging scheduling, enhancing both operational efficiency and patient convenience.
Current Operations and Future Plans
Currently in use at Hallym University Sacred Heart Hospital, the system has demonstrated significant operational benefits, driving ongoing interest from other hospitals for reference checks and potential adoption.
A company spokesperson stated:
"The need for AI-driven optimization in imaging scheduling has become increasingly evident due to the variety of variables involved in bookings and assignments. The solution is being continuously monitored for user satisfaction and real-world impact. We are committed to refining the system further and expanding its application to other modalities, such as CT scans, to maximize its utility in hospital environments."
Path to Smart Hospital Transformation
People and Technology's AI-Based Imaging Examination Optimization System represents a significant step toward smarter, more efficient healthcare environments. The company plans to extend its technology to support broader adoption and drive innovation in hospital digital transformation.
