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Direct Data Transfer from SCT Institutional Systems to Agnis/CIBMTR.

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Submission of transplant center data to CIBMTR commonly involves manual transcription of center data derived from departmental databases, EMR, or other institutional systems to FormsNetR (72%) or vendor/institutional applications (19%).… Click to show full abstract

Submission of transplant center data to CIBMTR commonly involves manual transcription of center data derived from departmental databases, EMR, or other institutional systems to FormsNetR (72%) or vendor/institutional applications (19%). This transcription method is expensive, error prone, and complex to audit. In contrast, if data were transmitted directly from institutional systems to CIBMTR, substantial cost reduction and improved data accuracy would be realized. Only a very limited number of centers have developed this type of solution which requires design complexities. MD Anderson Department of Stem Cell Transplantation and Cellular Therapy developed a direct electronic data transmission method of this type which has been in continuous use since 2009. More than 21,000 forms have been successfully accepted by CIBMTR. This method requires several components. An audited departmental Oracle database was developed with structured data fields and tables containing almost all specialized granular or derived data required to populate CIBMTR forms, as well as a much larger data set required for departmental research and quality purposes. This data was stored using common data elements (CDE) contained in the Cancer Data Standards Repository (caDSR) of the NCI. EMR interfaces were developed to acquire all HL-7 coded data necessary to contribute to the forms, and from specialized sources such as the HL-A Laboratory and centralized LIS systems. An interface engine with business rule functionality was designed to transform granular data to derived as well as to reconfigure "time stamped" elements to conform to the periodic forms (30 day, 100 day, 1 year, etc) structure used by the CIBMTR. This method has resulted in substantial reductions in data management effort and has served as a stimulus for CIBMTR to consider newer IT methods in the future. Schematic representations for these systems will be displayed on the full poster.

Keywords: data transfer; sct institutional; direct data; institutional systems; systems agnis; transfer sct

Journal Title: Biology of Blood and Marrow Transplantation
Year Published: 2019

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