18新利客户端wx678 com|18luck新利官方网站平台

Skip to content Skip to search Skip to footer Institute for Informatics, Data Science & Biostatistics Open Menu Back Close Menu Search for: Search Close Search AboutAbout Centers &＃038; Affiliated EntitiesCenters &＃038; Affiliated Entities The Center for Applied Clinical Informatics The Center for Population Health Informatics Office of Health Information and Data ScienceOffice of Health Information and Data Science OHIDS Leadership Office of the Chief Research Information Officer Becker Medical Library Governance – HDRC Research International Education &＃038; Training People EducationEducation Doctor of Philosophy in Biomedical Informatics and Data Science Master of Science and Certificate Programs in Biomedical Informatics Master of Science in Biostatistics and Data Science (MSBDS) Master of Science in Biostatistics (MSIBS) Certificate in Genetic Epidemiology Biomedical Informatics and Data Science at I2DB (BIDS@I2DB) Summer Research Internship Biomedical Informatics andData Science (BIDS) Fellowship Program for Inclusion and Diversity Among Individuals Engaged in Health-Related Research (PRIDE) Clinical Informatics Fellowship Consultation &＃038; ServicesConsultation &＃038; Services Data brokerage and warehouse Biostatistics REDCap MDClone News Events Connect Governance Open Search The Center for Population Health Informatics The Center for Population Health Informatics (CPHI) is working across disciplines and harnessing the power of data and technology to better the lives of those in St. Louis and beyond. CPHI is actively engaged in developing and studying innovative uses for data and technology at the point of care and beyond to improve population health outcomes. Research highlights CPHI leads in population health informatics research and serves to provide access to and training in the use of computationally-derived (“synthetic”) and health services administrative data. We additionally provide services in data analysis and visualization to advance applied clinical and population health research, including: Maintaining data repositories and managing data assets and data dictionaries Training investigators, laboratory staff, and students on the ethical and secure use of data assets Providing leadership on the analysis and visualization of clinical and population health data Facilitating collaboration among interdisciplinary investigators Advancing the use of data to inform researchers and the St. Louis community about health and healthcare Leadership Randi Foraker, PhD, MA, FAHA, FAMIA, FACMIDirector, Center for Population Health InformaticsProfessor of Medicine, Division of General Medical Sciences Professor of Public Health, Brown School Email: [email protected] Twitter LinkedIn Faculty Daphne Lew, PhD, MPHInstructor of Biostatistics Email: [email protected] Twitter LinkedIn Sunny Lin, PhD, MSAssistant Professor of Medicine, Division of General Medical Sciences Email: [email protected] LinkedIn Beth Prusaczyk, PhD, MSWAssistant Professor of Medicine, Division of General Medical Sciences Email: [email protected] Twitter LinkedIn Staff Joshua Landman, MSPhD Candidate, Division of Computational & Data Sciences Abigail Lewis, BAPhD Candidate, Division of Computational & Data Sciences Alicia CicerelliProject Manager, CPHI, Institute for Informatics, Data Science and Biostatistics Bringing the campus &＃8216;synthetic data&＃8217; via MDClone MDClone is a free, secure, self-service platform for building queries and downloading computationally-derived (“synthetic”) data from the research data core (RDC). Since the data do not contain protected health information (PHI), use of these data is not classified as human subjects research. Spot the Difference: Comparing Results of Analyses from Real Patient Data and Synthetic Derivatives. JAMIA Open The Use of Synthetic Electronic Health Record Data and Deep Learning to Improve Timing of High-Risk Heart Failure Surgical Intervention by Predicting Proximity to Catastrophic Decompensation. Frontiers in Digital Health Predicting Mortality among Patients with Liver Cirrhosis in Electronic Health Records with Machine Learning. PLoS One The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data. Journal of Medical Internet Research Request a service Email [email protected] for consultation or inquiries. Facilities and other resources Facilities and Resources: Informatics (pdf) Contact For more information on the Center for Population Health Informatics, please email Alicia Cicerelli at [email protected]. About Centers &＃038; Affiliated Entities The Center for Applied Clinical Informatics The Center for Biostatistics and Data Science The Center for Population Health Informatics The Center for Translational Bioinformatics Office of the Chief Research Information Officer Human Data Review Committee Research International Education &＃038; Training What is informatics? Institute for Informatics, Data Science & BiostatisticsWashington University School of Medicine660 S. Euclid Ave.Campus Box 8132Saint Louis, MO [email protected] Twitter ©2024 Washington University in St. Louis