How this Taiwanese hospital improves the management of the supply chain with advanced analyzes
Chang Gung Memorial Hospital, Linkou in Taoyuan City, Taiwan, was validated for stadium 6 of the Himss Analytics maturity assessment model.
The AMAM measures the capacities of an organization in the analysis of health care.
Why it matters
A major challenge in the implementation of advanced analyzes at the CGMH, Linkou was the integration of various sources of internal and external data in a consolidated data warehouse while retaining the quality and confidentiality of data.
Professor Chien-Tzung Chen, superintendent of the CGMH, Linkou, explained to IT news for health care How they overcome this by preparing for an AMAM validation in step 6.
“We have implemented robust governance frameworks, analysis initiatives aligned with clinical and operational KPIs and trained by interdisciplinary teams to stimulate the development of the analysis. We have also upgraded our data platform, rationalized the design of the dashboard for better accessibility and automated several supply chain processes and clinics based on analysis ideas.”
“The single consolidated data warehouse is an impressive collection of many types of data, originating internally as well as outside other health care providers and government agencies,” said HIMSS validation team about the CGMH, Linkou's efforts to improve its data storage.
“This makes it an extremely powerful tool for managers and clinicians to understand and analyze data and generate information to improve clinical care and organizational performance.”
During the evaluation, the hospital has also demonstrated its intelligent inventory management system, which helps prevent stocks and exaggerate during crises. The system, which was introduced before the world pandemic, proved to be particularly effective during the thickness of the pandemic in the first quarter of 2020, reaching a storage rate of less than 1%. It has improved the reliability of the supply chain thanks to real -time updates and automated replenishment.
“The use of the analysis in the management of the supply chain and the internal stock control system to automatically generate new orders, adjust the basic inventory, leading to a storage rate below 1%, is a good example of an action analysis. The success of this system is underlined by CGMH, Linkou, having a minimum of disruption or shortages during the COVVI -19 Crisis team.
The biggest trend
CGMH, Linkou is currently working to be validated for stage 7 of the AMAM, which will add to its validations of an HIMSS HIMSS digital maturity model: Model for adopting electronic medical records, digital imaging adoption model 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 extend clinical use cases in predictive analyzes to support early detection of diseases and optimization of processing, ensuring that data focused on data is also integrated into daily clinical work flows”, “Profit Chen also shared.
In the meantime, last year, the hospital also produced a Perfect score in HIMSS 2024 Digital health indicatorreflecting its continuous efforts and progress in the progress of the maturity of digital health.
At the same time as
“The realization of step 6 of HIMSS AMAM is an important step for the CGMH, Linkou. It demonstrates our commitment to decision -based data and care for high quality patients. This recognition says that our analysis infrastructure, governance and clinical applications are not only ripe but also effectively contributed to organizational performance and patients”, “Professor Chen said.
“Advanced analysis helps us to make informed decisions, to personalize treatment plans, to reduce unnecessary procedures and to allocate resources more effectively-all leading to results for patients and operational performance,” he said.
