Sigfried Gold is a clinical research informaticist specializing in developing visual analytics tools to improve the productivity and quality of in silico studies of healthcare data, particularly around the use of standardized medical terminologies and common data models in distributed research networks. Sigfried consults as an informaticist, visualization designer, and has worked as a software developer for 32 years. She is an active contributor to open science and open source projects including OHDSI, MCBK, and supergroup.js. Sigfried is currently a PhD student with the UMD College of Information Studies and HCIL, advised by Wayne Lutters.
User interface and visualization design for research using patient medical data.
- Columbia University, M.A. in Biomedical Informatics
- University of Illinois, graduate coursework in Writing Studies and Information Science
- University of Chicago, graduate coursework in Philosophy and Cultural Studies
- Sarah Lawrence College, M.F.A. in Creative Writing
- Goddard College, B.A. in Literature
- University of Maryland COMBINE (Computation and Mathematics for Biological Networks) Fellow—National Science Foundation Research Traineeship (Award DGE-1632976) Fall 2018 – Present.
- Best Poster. Observational Health Data Sciences and Infomatics Symposium, Washington, DC. Gold, Blacketer, Sena, and DeFalco. CHRONOS: Cohort exploration through individual patient profiles. 2016.
- Best Paper. International Conference on eHealth, Telemedicine, and Social Medicine: eTELEMED. Zhu, Gold, Lai, Hripcsak and Cimino. Using Timeline Displays to Improve Medication Reconciliation. 2009.
- Best Paper. American Medical Informatics Association Annual Symposium. Washington, DC. Gold, Elhadad, Zhu, Cimino and Hripcsak. Extracting Structured Medication Event Information from Discharge Summaries. 2008.