Gynecologic Oncology Translational Research. Rae Lynn Baldwin, Ph.D., Ronda Dulbandzhyan, Beth Y. Karlan, M.D., Raymond G. Duncan, M.D.. Representing ...
A Web Based Information System Supporting Gynecologic Oncology Translational Research Rae Lynn Baldwin, Ph.D., Ronda Dulbandzhyan, Beth Y. Karlan, M.D., Raymond G. Duncan, M.D. Representing Division of Gynecologic Oncology and Enterprise Information Services Cedars-Sinai and UCLA Medical Centers, Los Angeles, California based platform. The web front-end was developed using Oracle's Developer/2000 tool set and deployed through Oracle's Application Web Server. The application was built with a web enabled feature that allows institutional Intranet access with high security protection at the view, field and group levels. It contains data exportlimport features which make it compatible with many external systems (ASCII, BCP) and it is ANSI-92 structured query language (SQL) compliant and can be queried by all standard search engines. The application is highly scaleable and can support synmnetric multiprocessing. Data accuracy and consistency is maintained through the use of predefmed lookup tables when ever possible to avoid free-form data entry. Three access levels, each with increasing function: view only, data entry and full editing capability, are assigned to a user based on need and training level to protect data integrity. Access to data entry fields is via a search screen to avoid data duplication (multiple entries for a single patient). Reporting data from the system has been approached from two directions. Any report or graph that is run frequently and has a set format is predefined as a parameterized report. For dynamic report generation or research data mining, an ad-hoc report writing tool, Brio, is used. Planned enhancements include (1) the establishment of an electronic link with the medical center's ADT staging repository, so that patient demographic information does not need to be reentered, (2) creating web links to hospital transcribed reports including pathology reports, operative reports and patient histories and physicals, and (3) uploading and displaying video images, such as ultrasounds.
ABSTRACT In an environment that combines both patient care and oncology research, tracking only inpatient data is not enough. This poster will discuss a web-based application developed at Cedars-Sinai Medical Center (CSMC) that facilitates translational research by linking patient demographics, clinical disease characteristics and basic science data. During the Y2K effort, it was discovered that there were three at-risk stand-alone Paradox database systems that were not compatible with each other and contained several points of redundant Gynecologic Oncology patient-related data. During the in-depth analysis, it was also discovered that the research lab had a manual component of tracking research data. With all of this data in separate locations, performing translational research was difficult, partially manual and time consuming. A database development project was launched to migrate the obsolete applications to a modem platform and combine the manual operations into a single application and process. The new application links all patient demographic, screening, treatment and follow-up information with specimen collection, inventory, characterization and documentation data., facilitating translational research objectives. Information about two major groups of is patients included in the system: (1) patients who have undergone surgical treatnent for malignant gynecologic conditions at CSMC or other support hospitals and (2) participants in the Gilda Radner Ovarian Cancer Screening Program. In addition to these two major groups, data for patients undergoing surgery for nonmalignant conditions are also entered into the database when normal tissue specimens are acquired for the Division of Gynecologic Oncology Tissue Bank. CSMC's technology architecture guidelines specify that all database development leverages Oracle as the Relational Database Management System (RDBMS). It also states that all application will be web deployed. Combined, this minimizes deployment, support and training costs.' Normalized logical and physical models were developed using the Oracle Designer/2000 (CASE/Data Modeling tools) on a Oracle 8i NT 4.0 1067-5027/01/$5.00 C 2001 AMIA, Inc.
References 1. Jones DT, Duncan R, Langberg M, et al: Technology Architecture Guidelines for a Health Care System. Proceedings of the AMIA Ar,nual Fall Symposium 2000, 399402.
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