The Penn Data Store and Medical Data Integration

Here is the second poster presentation from the NEDB 2013 conference at MIT. The conference was on Feb. 1, 2013, and was a boat-load of fun. Abstract As a premier research institution, the University of Pennsylvania harbors numerous databases: these run the gamut from clinical, research, and financial, to genomic and neurological. Integrating all these disparate data sources has become a massive endeavor at the University’s Medical System. In order to accommodate the organization’s vast needs for data, and to assist accomplishing the objective of become a data-driven enterprise, Penn built the Penn Data Store clinical data warehouse, one of 12 CCHIT-certified Data Warehouses within the USA designated for clinical research use. This warehouse is an ongoing project: it currently incorporates inpatient and outpatient data from eleven distinctly different medical record systems, and is constantly in the process of assimilating even more content from Penn’s medical databases in order to directly contribute to medical research. Related articles EHRs a gold mine for medical research? (thlibrary.wordpress.com) Big Data Technology Does Not Replace a Data Warehouse (b-eye-network.com) Advertisement Share on X (Opens in new window) X Share on LinkedIn (Opens in new window) LinkedIn Share on Facebook (Opens in new window) Facebook Email a link to a friend (Opens in new window) Email Print (Opens in new window) Print Share on Reddit (Opens in new window) Reddit Share on Tumblr (Opens in new window) Tumblr Like Loading... Related

The role involves integrating various medical data sources to support research initiatives at the University of Pennsylvania. This includes managing the Penn Data Store clinical data warehouse and assimilating data from multiple medical record systems.

Candidates should have a foundational understanding of data integration and clinical research methodologies. Familiarity with data warehouses and medical databases is beneficial.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Integration
• Clinical Research
• Data Warehouse
• Medical Databases
• Data-Driven Enterprise
• EHRs
• Big Data Technology

Expérience minimale

0+ ans

Postuler avant le

12 août 2026