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SU‐E‐T‐544: A Radiation Oncology‐Specific Multi‐Institutional Federated Database: Initial Implementation
Author(s) -
Hendrickson K,
Phillips M,
Fishburn M,
Evans K,
Banerian S,
Mayr N,
Wong J,
McNutt T,
Moore J,
Robertson S
Publication year - 2014
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4888878
Subject(s) - computer science , workflow , database , schema (genetic algorithms) , data collection , world wide web , data science , information retrieval , statistics , mathematics
Purpose: To implement a common database structure and user‐friendly web‐browser based data collection tools across several medical institutions to better support evidence‐based clinical decision making and comparative effectiveness research through shared outcomes data. Methods: A consortium of four academic medical centers agreed to implement a federated database, known as Oncospace. Initial implementation has addressed issues of differences between institutions in workflow and types and breadth of structured information captured. This requires coordination of data collection from departmental oncology information systems (OIS), treatment planning systems, and hospital electronic medical records in order to include as much as possible the multi‐disciplinary clinical data associated with a patients care. Results: The original database schema was well‐designed and required only minor changes to meet institution‐specific data requirements. Mobile browser interfaces for data entry and review for both the OIS and the Oncospace database were tailored for the workflow of individual institutions. Federation of database queries‐‐the ultimate goal of the project‐‐was tested using artificial patient data. The tests serve as proof‐of‐principle that the system as a whole‐‐from data collection and entry to providing responses to research queries of the federated database‐‐was viable. The resolution of inter‐institutional use of patient data for research is still not completed. Conclusions: The migration from unstructured data mainly in the form of notes and documents to searchable, structured data is difficult. Making the transition requires cooperation of many groups within the department and can be greatly facilitated by using the structured data to improve clinical processes and workflow. The original database schema design is critical to providing enough flexibility for multi‐institutional use to improve each institution s ability to study outcomes, determine best practices, and support research. The project has demonstrated the feasibility of deploying a federated database environment for research purposes to multiple institutions.