The software will be used to build a cloud-native analytics and data lakehouse that will ensure early detection and accurate diagnosis for patients.
A central data lakehouse created by HPE Ezmeral ML Ops and HPE Ezmeral Unified Analytics, will collect and analyse anonymised patient data from various sources across the hospital and outside.
The software features an open-source architecture making it easy to be integrated with the HPE Ezmeral platform through the open-source Kubernetes.
The artificial intelligence-driven technology is expected to contribute to the management of heart disease and help in providing better treatment for patients.
Thomas Mast from Catharina Hospital’s Cardiology Department said: “The new data lakehouse that we’ve created using HPE Ezmeral will enable us to help accelerate model training and detect cardiogram anomalies among the 500,000 electrocardiograms (ECGs) already available for data analysis with higher precision and to identify the correct diagnosis and treatment.
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“The development of these algorithms based on artificial intelligence may deliver more accurate diagnoses and move toward a more preventative approach to patient care.
“This may also relieve some of the pressures on our healthcare system and ensures patient data remains in the hospital and is not moved to the public cloud.”
A hybrid cloud platform, the HPE Ezmeral software portfolio helps enterprises build and accelerate their modern data analytics initiatives.
The entire HPE Ezmeral portfolio, HPE Ezmeral Runtime Enterprise, HPE Ezmeral Unified Analytics, among others, is available to customers globally.
HPE chief technologist Clemens Esser said: “HPE has been working with the hospital for a number of years to deliver technology solutions, and we are pleased with the smooth implementation of HPE Ezmeral to unite its disparate data sources into a single data lakehouse.
“With this single, standardised data platform, the AI and data science teams within the hospital will be able to truly harness the value of their data and have a direct impact on improving patient care.”