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Blog from February, 2014
SYNOPSIS:For most people health occurs in every-day living, not in hospitals and doctor's offices. They must remember to take medications, monitor healing progress, note changes from normal, or get up and exercise — all information intensive and cognitively demanding activities. Through Project HealthDesign, an eight-year initiative funded by the Robert Wood Johnson Foundation, we learned that there is so much more to health information than what is generated in the course of care and recorded in the electronic health record. In addition to lab values and blood pressures, people attend to a wide range of data that informs them about their health status and drives them toward healthy behaviors. We call these novel data types "observations of daily living" (ODLs). ODLs represent the sensations, behaviors, attitudes, thoughts, and exposures to which people attend and draw interpretations about their health situation.
Patient-generated data includes ODLs, as well as a full range of parameters that only the individual person can provide. Programs like PCORI and the NQF Patient-reported outcomes measures project show that patient-generated data not only is useful for augmenting clinical signs and assessments in evaluating a patient's health needs, but also can be used to determine the effectiveness of care. There is growing acceptance of the importance and relevance of patient-reported data and an uptake in the sophistication of the tools used to create, store, report, and analyze it. In this presentation, Dr. Brennan will introduce the concept of patient-generated data, provide an elaboration of one novel type (ODLs), and explore the ethical and policy issues related to capture and use of patient-reported data.
Patricia Flatley Brennan, R.N., Ph.D., is the Lillian L. Moehlman Bascom Professor, School of Nursing and College of Engineering, University of Wisconsin, Madison, Wisconsin. Dr. Brennan received a Master of Science in Nursing from the University of Pennsylvania and a Ph.D. in Industrial Engineering from the University of Wisconsin, Madison. Following seven years of clinical practice in critical care nursing and psychiatric nursing, Dr. Brennan held several academic positions. Dr. Brennan is National Program Director of Project HealthDesign, a Robert Wood Johnson Foundation-funded initiative designed to stimulate the next generation of personal health records.
SUMMARY:
Topic: Patient-Generated Data: Opening a Window Into the Everyday Lives of People
Speaker: Patricia Brennan, R.N.,Ph.D.
Date: Wednesday, March 5, 2014
Time: 11 AM – 12 PM EST
You are invited to listen to Dr. Brennan's presentation in Room 2W908 in the NCI Shady Grove Building on Medical Center Drive or via WebEx.
Presentation: A screen cast of the presentation will be available for viewing after the event here on our Speaker Series Videos page and on the NCI CBIIT Speaker Series YouTube Playlist 
.
About the NCI CBIIT Speaker Series:
The National Cancer Institute (NCI) Center for Biomedical Informatics and Information Technology (CBIIT) Speaker Series is a bi-weekly knowledge-sharing forum featuring both internal and external speakers on topics of interest to the biomedical informatics and research communities. For additional information, including past speaker series presentations, visit the CBIIT Speaker Series page.
Questions? Please email us at NCICBIITcomms@mail.nih.gov.
Individuals with disabilities who need reasonable accommodation to participate in this program should contact the Office of Space and Facilities Management (OSFM) at 240-276-5900 or the Federal TTY Relay number 1-800-877-8339.
SYNOPSIS:The Computational Genomics Research group at NCI CBIIT participated in the HPN-DREAM Breast Cancer Network Inference Challenge for the first time in 2013. The challenge comprises network inference, time-course prediction, and visualization of time-course data derived from proteomic experiments in cancer cell lines and in silico simulation. The group developed a novel approach to construct consensus networks and predict phosphoprotein trajectories under the influence of each inhibitor. The time-series data were visualized with in-house R package OmicCircos which is available at bioconductor.org. This novel diagram not only maintains the network structure but also displays the time-course change, biological annotations, and topological features. The group submitted results to Synapse.org, a site that Sage Bionetworks has developed for data sharing and live scoring. Our prediction result of 20 phosphoproteins and 10 time points for the sub-challenge 2B "In silico time-course prediction" has been ranked as the best predictor.
BIO:
Chunhua Yan, Ph.D., is the bioinformatics project manager of Computational Genomics Research (CGR) at the NCI Center for Biomedical Informatics and Information Technology. The CGR group carries out the integrated analysis of cancer mutation, copy number, expression, and methylation data through collaborations with investigators both inside and outside of NCI, and participates in NCI-supported projects such as Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and The Cancer Genome Atlas (TCGA). Dr. Yan has published many articles in peer-reviewed journals covering the topics of bioinformatics software and next generation sequencing data analysis. He also has been awarded multiple U.S. patents related to the discovery of novel kinases and receptors. Dr. Yan obtained his B.S. in pharmacy from Shanghai Medical School and his Ph.D. in structural biology from University of Maryland at Baltimore.
SUMMARY:
Topic: NCI CBIIT-CGR Team Wins HPN-DREAM Breast Cancer Network Inference Challenge 2B (View presentation slides). Due to technical difficulties, a video of this presentation is not available.
Speaker: Chunhua Yan, Ph.D.
Date: Wednesday, February 19, 2014
Time: 11 AM – 12 PM
You are invited to listen to Dr. Yan's presentation in Room 2W908 in the NCI Shady Grove Building on Medical Center Drive or via WebEx.
About the NCI CBIIT Speaker Series:
The National Cancer Institute (NCI) Center for Biomedical Informatics and Information Technology (CBIIT) Speaker Series is a bi-weekly knowledge-sharing forum featuring both internal and external speakers on topics of interest to the biomedical informatics and research communities. For additional information, including past speaker series presentations, visit the CBIIT Speaker Series page .
Questions? Please email us at NCICBIITcomms@mail.nih.gov .
Individuals with disabilities who need reasonable accommodation to participate in this program should contact the Office of Space and Facilities Management (OSFM) at 240-276-5900 or the Federal TTY Relay number 1-800-877-8339.
