演講：Enabling Large Scale Collaborative Translational Research through Global Unique Identifier (GUID)2014/10/28
美國國衛院(NIH)范揚政主任，於10/29(三) 15:10~17:10 蒞臨中心演講，歡迎有興趣同仁踴躍參加。
講 題：Enabling Large Scale Collaborative Translational Research through Global Unique Identifier (GUID)
講 者：范揚政 博士 (Yang C. Fann, Ph.D.)
Intramural IT and Bioinformatics Program,
時 間：103 年 10 月 29 日(三) 15:10-17:10
摘 要：Translational research requires a secure informatics infrastructure to protect participant’s privacy and confidentiality. In order to facilitate collaboration and catalyze large-scale translational research (e.g. National Cancer Research Consortium, Centers of Excellence, or BioBank), researchers will need a secure way to associate same subject participated in any multi-site study and their data collected from many information systems (e.g. EHR). The GUID is an identifier created allowing researchers to associate and share data specific to a study participant without using or exposing their personally identifiable information (PII). The GUID system balances three goals to facilitate translational research: distinguishing individuals from each other, collecting information with sufficient accuracy for matching, and protecting subject privacy and confidentiality.
Although GUID technology is powerful and enables the subject protection via de-identification and anonymization processes, it must be designed and implemented with careful considerations. This presentation will demonstrate key design concepts, database security and with examples on how it may be used to enable data sharing for large scale national clinical trials and collaborative research networks.
講者學經歷：Dr. Fann joined NINDS in 2002 as the Director of the Intramural IT and Bioinformatics Program overseeing the information technology support services and infrastructures as well as developing biomedical informatics research programs. He currently leads the development of an integrated information management system, Clinical Informatics and Management System (CIMS), for clinical and bioinformatics research as well as an intramural bioinformatics facility. The system, which includes the Protocol Tracking and Management System (PTMS), has been adopted by the NIH Institutional Review Board (IRB) to electronically manage the protocol submission, review and approval process and significantly improves the efficiency of clinical research management. Currently, PTMS is used by many institutions in US other than foreign countries, such as Taiwan, South Africa, Vietnam, Philippine, Brazil and China.
In 2010, his creation of Purchasing On-line Tracking System (POTS) to streamline and transform scientific procurement administration was quickly adopted by the NIH community, and won him the first ever HHS Innovates Award presented by the Secretary of HHS. In addition to his roles and responsibilities at NINDS, Dr. Fann serves on many NIH advisory committees including the Medical Executive Committee IT subcommittee, and the Biomedical Translational Research Information System (BTRIS) Steering Committee. He is currently a principle investigator on the Informatics Core of Center for Neuroscience and Regenerative Medicine (CNRM) working on building the informatics infrastructure for the National Traumatic Brian Injury (TBI) Study, a collaborative project of the DoD and NIH. In addition, his bioinformatics group has been developing several database tools, such as Stem Cell Database and EvoPrinter, to catalyze the neuroscience research.
Recently, he has co-led an international collaborative team with Dr. Matthew McAuliffe at Center for Information Technology (CIT) to build a reusable and sustainable informatics infrastructure named Integrated Biomedical Informatics System (IBIS) to support and catalyze biomedical research. The project was built based on existing applications and tools at NIH for scientific administration, clinical research information management and biomedical data repository (or data warehouse) with supporting tools such as common data elements, global unique identifiers, and data validations.
His current research interests are computational biology, bioinformatics, clinical research informatics and applying information technology for advancing translational biomedical research.