Development of an Aggregated Data Set from Multiple Electronic Health Record (EHR) Systems to Support Improved Quality of Oncology Practice
Oncology is a fertile field for the development of what the Institute of Medicine terms a “Rapid Learning Health System.” To this end, the American Society of Clinical Oncology (ASCO) created CancerLinQ, a system designed to enable a virtuous cycle in which research drives care and data from routine care helps to inform the next generation of treatment standards and research questions. CancerLinQ is a community of oncology practices that have joined together in this goal, as well as a specific technology platform that enables the collection, aggregation and harmonization of data from Electronic Health Record (EHR) systems for the purpose of improving quality of care for patients. Methods used to extract, process and manage data in CancerLinQ, as well as general properties of the CancerLinQ data sets will be discussed.
George A. Komatsoulis, Ph.D. is Chief of Bioinformatics at CancerLinQ, a Rapid Learning Health System project at the American Society of Clinical Oncology (ASCO). Dr. Komatsoulis has been working in bioinformatics for more than 30 years across academia, government, industry and the non-profit sector focusing on data harmonization and interoperability. His prior experience includes Human Genome Sciences, Inc. and the National Institutes of Health where he worked at the National Cancer Institute, the National Center for Biotechnology Information and the Office of the NIH Associate Director for Data Science. At the NCI, Dr. Komatsoulis held a number of positions including Deputy Director and Director (acting) of the Center for Biomedical Informatics and Information Technology (CBIIT), as well as acting as Chief Information Officer during the development of the NCI Shady Grove campus. Dr. Komatsoulis is known for developing the NCI Cancer Genomics Cloud Pilots and the NIH Commons Credits program. He has a B.S. in Microbiology from Cornell University and a Ph.D. in Molecular Biology and Biochemistry from the California Institute of Technology.
- Machine Learning in Genomics: Tools, Resources, Clinical Applications, and Ethics WorkshopApril 13, 2021 - April 14, 2021Using the Genomic Data Commons APIApril 26, 2021