Innovative Medical Document Generation System
In an effort to revolutionize the healthcare landscape, a collaborative research initiative has been launched by Homura Medical Corporation, NTT Precision Medicine, and PRiME-R. This groundbreaking project aims to implement a semi-automated system for generating clinical reports and medical history summaries using advanced large language model (LLM) technology within the NTT Precision Medicine's cloud-based electronic medical record system, Movacal Hospital.
Background and Overview
This initiative aligns with Japan's Strategic Innovation Promotion Program (SIP), specifically targeting the construction of integrated healthcare systems. PRiME-R was selected as a research and development organization under SIP's Phase 3, focusing on clinical support through the development of case report and medical history summary systems.
The project strives to achieve digital transformation in healthcare by enabling the semi-automated generation of critical medical documents such as discharge summaries. Starting in October 2024, this system will be integrated into the offerings of NTT Precision Medicine, including Movacal Hospital and Movacal.net, which supports homecare electronic records.
With the successful completion of the system's prototype model, real-world testing will be conducted at Homura Medical Hospital, leveraging clinical data gathered since April 2021. This research endeavor seeks to validate the utility of the automated document generation system in easing the documentation burden on healthcare professionals.
Roles of Collaborating Organizations
1.
Homura Medical Corporation: Medical staff, including physicians and nurses, will evaluate the effectiveness of the automatically generated documents, like discharge summaries and rehabilitation reports. They will also capture clinical needs to inform further enhancements.
2.
NTT Precision Medicine: Responsible for implementing the prototype within the Movacal Hospital system, NTT will address feedback from clinical trials to improve the system's functionality and usability.
3.
PRiME-R: Utilizing their expertise in AI technology, including the LLM, PRiME-R will enhance the accuracy of documents generated by the system based on the feedback gathered from Homura Medical Hospital.
Discharge Summary Generation Interface
The Movacal Hospital system includes an AI summarization button. When clicked, the LLM will automatically generate documents based on the information recorded in the electronic health records. This innovation is designed to significantly minimize the documentation workload for physicians, allowing them to focus more on patient care.
Call for Participation in Clinical Trials
The project is actively seeking participation from healthcare institutions with fewer than 200 beds, particularly rehabilitation and chronic care hospitals, as well as clinics with hospital beds. Interested facilities should reach out to the provided contact information to explore participation.
Future Prospects
Through ongoing development and engagement with clinical stakeholders, this research aims to realize high-accuracy automated document generation in healthcare. By reducing the administrative burden of document creation, the initiative is well-positioned to contribute to the reform of physician work practices and the advancement of healthcare delivery in Japan.