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These uses cases represent only a few of the myriad uses for De-ID™. Contact us to see whether your scenario is a valid use for De-ID™.
PROBLEM: A major teaching hospital wanted to process data already in an Oracle™ database.
SOLUTION: De-ID™ offered a web-services schema directly linking the client’s PL/SQL program to the De-ID™ web service.
OUTCOME: De-ID™ processes a data stream and supported the creation of a de-identified data table directly within the user’s database.
PROBLEM: A clinical trial recruitment company needed to sort through thousands of records to find eligible candidates.
De-ID™ SOLUTION: De-ID™ was used to create de-identified versions of reports that could be searched and sorted for eligibility criteria without PHI. Once such records were found, De-ID’s Linkage Key™ function could be used by a trusted proxy to contact the physician responsible for that patient.
OUTCOME: De-ID™ enables greater access to the number of eligible candidates found in disparate clinical settings who meet the inclusion criteria of various clinical protocols.
PROBLEM: Even when patient record sharing is legal based on association agreements or participation in HIEs, population or outcomes research on these data sets comes under HIPAA restrictions for data sharing. These documents cannot be parsed or processed for aggregation or searched for their content because they contain many pieces of patient identifiable information. HIPAA does not permit the use of protected health information (PHI) in research studies without the explicit consent of the patient.
De-ID™ SOLUTION: De-ID™ has become a very effective tool in solving this problem. By making De-ID™ an integral and integrated part of the HIE system architecture, data consortia and other interested parties can access large quantities of completely de-identified data. De-ID™ can be used automatically in real time on files within the HIE, or can be established as a web service in which files can be ‘ordered’ by disease, treatment or subject matter, and de-identified in batches.
PROBLEM: A major southern medical center had to develop a patient privacy solution in order to move forward on an important data-mining program in clinical genomics.
De-ID™ SOLUTION: De-ID™ was tested in their system and has been validated to reliably de-identify the large volume of data necessary. Customer modifications to De-ID™ further aligned the software with the research objectives.
OUTCOME: De-ID™ is now successfully de-identifying and processing terabytes of data in preparation for analysis by other sophisticated pattern recognition algorithms.