How this Taiwanese hospital enhances supply chain management with advanced analytics
The health of the Chang Gung Memorial Hospital, Linkou in Taoyuan, Taiwan, for the 6th stage of HIMSS Analytics.
Amam measures the capabilities of the organization in healthcare analyzes.
Why do it matter
Among the main challenges in implementing advanced analyzes in CGMH, Linkou was to integrate various internal and external data sources into a unified data warehouse while maintaining data quality and privacy.
Professor Shen-Gung Chen, CGMH director, Linkou, explained Health care news How did you overcome this by preparing for the 6th stage of verification.
“We have implemented powerful governance frameworks, alignment analysis initiatives with the main and operational clinical and operational performance indicators, and we formed a multidisciplinary difference to push the analysis development. We also upgraded our data platform, designing the simplified information panel in favor of access to more access, and many of the supply and clinical chain operations based on analytical stickers.”
“The unified individual data warehouse is a wonderful collection of many types of data, which arises in everyone at home, as well as externally from health care providers and other government agencies,” said Himss’s health verification team on CGMH.
“This makes it a very powerful tool for executives and doctors to understand and analyze data and generate visions to improve clinical care and organizational performance.”
During the evaluation, the hospital also showed a smart stock management system, which helps prevent hybridization and overcoming crises. The system, which was presented before the global epidemic, has proven especially effective during the thickness of the epidemic in the first quarter of 2020, as it achieved a storage rate less than 1 %. The reliability of the supply chain has strengthened through actual time updates and automatic storage.
“The use of analyzes in the management of the supply chain and the internal stock control system to create new orders automatically, and the control of the foundation line, which leads to less than 1 % of the storage rate, is a good example of analyzes at work. The success of this system is emphasized by the CGMH team, and linking Linkou.
The biggest direction
CGMH, Linkou currently checks the health of stage 7 of AMAM, which will add to the health of the digital maturity model in the current 7th stage: Electronic medical registry adoption formDigital photography form, and Infrastructure adoption model.
“In addition, we plan to further integrate population health data, including epidemiological and environmental data, in our data warehouse. We will also expand clinical use in predictive analyzes to support early detection of diseases and improve treatment, and ensure that visions depend on the data integrated in the daily clinical workflow,” PROF Chen also shared.
Meanwhile, last year, he also achieved the hospital Perfect In 2024 Hisss Digital Health IndexWhich reflects its ongoing efforts and progress in the advancement of digital health.
In the record
“Achieving the 6th Himss AMAM stage is an important landmark for CGMH, Linkou. It shows our commitment to making decisions that depend on data and high -quality patients. This recognition confirms that our analytical structure, judgment, and clinical applications not only ripen, but contribute effectively to organizational performance and patients,” Prof. Prof Chen.
“Advanced analyzes help us make enlightened decisions, allocate treatment plans, reduce unnecessary measures, and allocate resources more efficiently – all of which improve patient results and operational performance,” he stressed.