Optimizing Healthcare Operations in Tokyo
Healthcare Organization Case Study
The aging population in Japan leads to excess physician visits which are compounded by unnecessary lab tests and imaging studies. The decrease in the number of people who pay premiums is straining the system, and resources are stressed by rising costs.
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A metropolitan hospital in Tokyo worked with Surgisphere’s clinical, quality of care, and financial benchmarks to:
- Gain detailed insight into lab tests and imaging studies appropriate for treating patients in the ER and hospital
- Measure the clinical impact of medications and medical devices in the US market to better understand their feasibility in the Japanese healthcare system
- Utilize machine learning to develop more optimal clinical management protocols to treat common conditions
Machine learning combined with the world’s most comprehensive healthcare database led to the creation of new clinical management algorithms. These powerful protocols led to a 12% decrease in unnecessary lab tests, a 29% decrease in imaging studies, and over $4.3 million in savings. By analyzing the value of new medications and devices, this metropolitan hospital in Tokyo made more informed decisions as part of its procurement process. The end result was high value healthcare – high quality outcomes for a low cost. These changes were maintained using a lean six sigma performance improvement program. Additional clinical management algorithms are now being developed that will save this healthcare system an additional $10-15 million over the next year.
These results were obtained over just a few months. Open access to Surgisphere’s benchmarks and machine learning tools fostered a data-driven approach to make rapid clinical and business changes. Deeper integration with EHR and supply chain data was accomplished in less than two months. Additional consulting services were offered at an affordable project-based rate, with work completed in just two weeks.
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