Data science and big-data

As the driving force in big data, Tel Aviv Sourasky Medical Center has been maintaining, expanding, and scaling its database for over 10 years, following international and Israeli standards for medical data protection, privacy and confidentiality such as US HIPAA and EU GDPR. This extensive database contains a vast amount of data collected during patient encounters throughout the hospital – from inpatient stays, ambulatory visits, imaging scans, laboratory tests, and other specialties.

Thanks to a major investment, the Medical Center's I-Medata AI Center is expanding the platform to a groundbreaking cloud-based infrastructure, which will support big data projects into the future.  

The extensive data ocean integrates information gathered from diverse platforms such as Chameleon, Namer, and Autolims. This dataset comprises structured information, encompassing electronic medical records, diagnoses, surgeries, medical procedures, laboratory results, medications, vital signs, pathological slides and reports, management information, operational details, financial data, and more. 

In addition, the data ocean includes unstructured information, such as imaging scans from PACS system (CT, MRI, X-Ray, US), ECG recordings, surgical videos, etc. 

Tel Aviv Sourasky Medical Center employs virtual research rooms hosted on the AWS cloud to facilitate the exchange of de-identified information with external collaborators. 

Within these research rooms, researchers can securely share and analyze data using a comprehensive set of tools. The environment supports various tasks, including calculations, processing, data manipulation, integration, and data analyses. 

Situated on a private and protected cloud, this infrastructure enables researchers to harness the advantages of cloud technology while preserving data integrity, ensuring information confidentiality, and avoiding disruptions to source systems.