Copyright 2006, Ida Sim Ida Sim, MD, PhD Associate Professor of Medicine Associate Director for Medical Informatics Program in Biological and Medical Informatics.

Slides:



Advertisements
Similar presentations
The National Center for Biomedical Ontology One of three National Centers for Biomedical Computing launched by NIH in 2005 Collaboration of Stanford, Berkeley,
Advertisements

Randomized Controlled Trial
Consistent and standardized common model to support large-scale vocabulary use and adoption Robust, scalable, and common API to reduce variation in clinical.
Analysis of Electronic Medical Record Systems Jonathan S. Schildcrout.
Physiologic Studies Intuition or Beliefs Systematic Reviews Metaanalysis Double-blind Randomized Controlled Trials Cohort Studies Case-Control Studies.
MEDLINE®/PubMed® Based on the PubMed for Trainers course, U.S. National Library of Medicine (NLM) and NLM Training Center Jane Bridges, ML, AHIP Associate.
天 津 医 科 大 学天 津 医 科 大 学 Clinical trail. 天 津 医 科 大 学天 津 医 科 大 学 1.Historical Background 1537: Treatment of battle wounds: 1741: Treatment of Scurvy 1948:
A general-purpose text annotation tool called Knowtator is presented. Knowtator facilitates the manual creation of annotated corpora that can be used for.
The material was supported by an educational grant from Ferring How to Write a Scientific Article Nikolaos P. Polyzos M.D. PhD.
Who am I Gianluca Correndo PhD student (end of PhD) Work in the group of medical informatics (Paolo Terenziani) PhD thesis on contextualization techniques.
Overview of Biomedical Informatics Rakesh Nagarajan.
Copyright 2007, Ida Sim Ida Sim, MD, PhD Associate Professor of Medicine Director, Center for Clinical and Translational Informatics University of California,
2: Types of Studies1. 2 In Chapter 2: 2.1 Surveys 2.2 Comparative Studies.
Evidence-Based Practice for Pharmacy Y2 Pamela Corley, MLS, AHIP Joe Pozdol, MLIS Norris Medical Library 2003 Zonal Ave. Los Angeles, CA
Developing an Ontology-based Metadata Management System for Heterogeneous Clinical Databases By Quddus Chong Winter 2002.
Review of the effect of implementation strategies within Nursing Ruud J.G. Halfens Roland van Linge.
1 Digital Libraries and Evidence in the Developing World Context Dr. Jon Ferguson Senior Health Database Scientist IMMPACT Project University of Aberdeen.
Chapter 7. Getting Closer: Grading the Literature and Evaluating the Strength of the Evidence.
Introduction to evidence based medicine
Method Section Janine Overcash, PhD. Elements in a Method Section Study Design Setting Sample Measurement Data Collection Procedures Procedures Analysis.
Part 3 of 3 By: Danielle Davidov, PhD & Steve Davis, MSW, MPA INTRODUCTION TO RESEARCH: SAMPLING & DESIGN.
Research Methods Ass. Professor, Community Medicine, Community Medicine Dept, College of Medicine.
Classify your information need and select appropriate resource(s) from the Shimberg Library! Selecting Resource Databases for Health Care Literature Annotated.
Research-driven data standards CIMI 11 th April 2013.
The Registration of Clinical Trials Deborah A. Zarin, M.D. Director, ClinicalTrials.gov May 2007.
UCLA MII A Formal Representation for Numerical Data Presented in Published Clinical Trial Reports Maurine Tong BS, William Hsu PhD, Ricky K Taira PhD Medical.
Copyright © 2010 Accenture All Rights Reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture. Multiple Ontologies in.
Evidence-Based Practice Current knowledge and practice must be based on evidence of efficacy rather than intuition, tradition, or past practice. The importance.
Reading Scientific Papers Shimae Soheilipour
Section 3. Double Blind - Neither the subjects nor the people working with them know which treatment each subject is receiving Block Design - A block.
Introduction to Basic Science Emily L. Lowe, Ph.D. Microbiology, Immunology and Molecular Genetics UCLA.
1 CSE 2102 CSE 2102 Ph.D. Proposal A Process Framework For Ontology Modeling, Design, And Development Realized By Extending OWL and ODM Candidate: Rishi.
Systematic Reviews.
Julio A. Ramirez, MD, FACP Professor of Medicine Chief, Infectious Diseases Division, University of Louisville Chief, Infectious Diseases Section, Veterans.
A Model-Driven Approach to Interoperability and Integration in Systems of Systems Gareth Tyson Adel Taweel Steffen Zschaler Tjeerd Van Staa Brendan Delaney.
EBM --- Journal Reading Presenter :顏志維 Date : 2005/10/17.
Secondary Translation: Completing the process to Improving Health Daniel E. Ford, MD, MPH Vice Dean Johns Hopkins School of Medicine Introduction to Clinical.
Value Set Resolution: Build generalizable data normalization pipeline using LexEVS infrastructure resources Explore UIMA framework for implementing semantic.
Evidence-Based Medicine Presentation [Insert your name here] [Insert your designation here] [Insert your institutional affiliation here] Department of.
ADVANCED DB SYSTEMS BIOMEDICAL ENGINEERING. Index INTRODUCTION  BIOMEDICAL ENGINEERING  B.E. DATASETS APPLICATIONS  DATA MINING ON FDA DATABASE  ONTOLOGY-BASED.
The usefulness of ontologies in health research: focus on epidemiology Claudia Pagliari PhD FRCPE eHealth Research Group The University of Edinburgh Ontology.
How to write a scientific article Nikolaos P. Polyzos M.D. PhD.
Data Integration and Management A PDB Perspective.
Christoph F. Eick University of Houston Organization 1. What are Ontologies? 2. What are they good for? 3. Ontologies and.
Core 2: Bioinformatics NCBO-Berkeley. Core 2 Specific Aims 1.Apply ontologies  Software toolkit for describing and classifying data 2.Capture, manage,
Evidence Based Practice RCS /9/05. Definitions  Rosenthal and Donald (1996) defined evidence-based medicine as a process of turning clinical problems.
LexGrid Philosophy, Model and Interfaces Harold R Solbrig Division of Biomedical Statistics and Informatics Mayo Clinic.
From the Advanced Search page of the Cochrane Library, we have clicked on the Cochrane Reviews: By Topic hyperlink. This has displayed the Topics for Cochrane.
Annotation and Image Markup : Take AIM at Images! David S. Channin M.D. Associate Professor of Radiology Chief, Imaging Informatics Northwestern University.
Study Design Clinical Epidemiology Concepts and Glossary.
Study designs. Kate O’Donnell General Practice & Primary Care.
Research Methods Ass. Professor, Community Medicine, Community Medicine Dept, College of Medicine.
Comparative Effectiveness Research : Rethinking Therapeutic Evaluation in Chronic Diseases Ph Ravaud.
Sifting through the evidence Sarah Fradsham. Types of Evidence Primary Literature Observational studies Case Report Case Series Case Control Study Cohort.
PTP 661 EVIDENCE ABOUT INTERVENTIONS CRITICALLY APPRAISE THE QUALITY AND APPLICABILITY OF AN INTERVENTION RESEARCH STUDY Min Huang, PT, PhD, NCS.
This material was developed by Oregon Health & Science University, funded by the Department of Health and Human Services, Office of the National Coordinator.
Research Design Evidence Based Medicine Concepts and Glossary.
From the initial page of the Cochrane Library, we have clicked on the Cochrane Reviews: By Topic hyperlink. This has displayed the Topics for Cochrane.
Making Randomized Clinical Trials Seem Less Random Andrew P.J. Olson, MD Assistant Professor Departments of Medicine and Pediatrics University of Minnesota.
Rene Descartes: “I think; therefore I am.”. 3.3: Data Ethics Statistics Chap 3: Designing Experiments.
EVIDENCE BASED PRACTICE ATHANASIA KOSTOPOULOU ERASMUS IPs
Evidence-Based Mental Health PSYC 377. Structure of the Presentation 1. Describe EBP issues 2. Categorize EBP issues 3. Assess the quality of ‘evidence’
1 Copyright © 2012 by Mosby, an imprint of Elsevier Inc. Copyright © 2008 by Mosby, Inc., an affiliate of Elsevier Inc. Chapter 15 Evidence-Based Practice.
1 ClinicalTrials.gov PL Implementation Nick Ide Chief Architect, ClinicalTrials.gov National Library of Medicine (Contractor) May 12, 2008.
Expediting Precision Medicine Initiatives for Clinical Genomics and Pharma through the Use of Knowledge Automation and Analytics Presenters: Dr. Scott.
Design of Clinical Trials
Critical Reading of Clinical Study Results
Taylor B Smith, MD1; James B Roy, MD2; Jason Kantor, MD2
Using clinical trial data as real-world evidence
STAT 515 Statistical Methods I Chapter 1 Data Types and Data Collection Brian Habing Department of Statistics University of South Carolina Redistribution.
Presentation transcript:

Copyright 2006, Ida Sim Ida Sim, MD, PhD Associate Professor of Medicine Associate Director for Medical Informatics Program in Biological and Medical Informatics University of California, San Francisco, CA R01-LM Analysis of HIV Trials cBIO Driving Biological Project

Copyright 2006, Ida Sim Outline Background Trial Bank Project DBP Goals

Copyright 2006, Ida Sim Domain Problem Want to advance clinical science and practice evidence-based medicine » based on results from scientific experiments, e.g., from randomized controlled trials (RCTs) » randomization equalizes known and unknown confounders between intervention arms » any observed differences in outcome should be due only to the intervention Drug A Placebo Death at 1 year

Copyright 2006, Ida Sim HIV Trials Two controversial areas of HIV with conflicting RCT evidence » Prevention of mother-to-child-transmission (MTCT) » Structured Treatment Interruption Very complex heterogenous trials » need computational support to visualize, analyze, apply these trials

Copyright 2006, Ida Sim Need Computational KBs of RCTs RCT journal articles not ideal » key descriptors of experimental method not always reported » not easily computable KB of information on RCT » design » execution » results would allow for better computer support for advancing clinical science and practice

Copyright 2006, Ida Sim Outline Background Trial Bank Project DBP Goals

Copyright 2006, Ida Sim Trial Bank Software Bank-a-Trial » web-based program for entering trials into RCT Bank (annotation) » clinical descriptions of trial features (slot values) are in UMLS terms RCT Presenter » web-based browser of RCT Bank entries » SecurePresenter for browsing restricted-access entries RCT Bank Bank-a-TrialRCT Presenter (SecurePresenter)

Copyright 2006, Ida Sim Ontology: RCT Schema Models clinical trials » instantiated using UMLS terms to describe clinical concepts Frame-based model (in Ocelot) » 7 levels deep 188 frames, 601 unique slots » average 9.8 slots/frame » 13 frames (7%) have multiple parents » 187/601 slots (31%) take other frames as values Available at

Copyright 2006, Ida Sim RCT Presenter Demo RCT Presenter is open access »

Copyright 2006, Ida Sim Bank-a-Trial Demo

Copyright 2006, Ida Sim Outline Background Trial Bank Project DBP Goals

Copyright 2006, Ida Sim DBP Goals Trial Bank instances » visualizing collections of related but heterogenous clinical trial instances » using sample HIV medical record to select “applicable” MTCT and STI trials in RCT Bank » meta-analysis RCT Schema » towards a reference ontology for clinical trials

Copyright 2006, Ida Sim Goal 1: Visualization Stage III Breast CA XRT and tamoxifen XRT only tamoxifen only 5 year survival 1 year local recurrence 5 year local recurrence 5 year metastatic dissemination 5 year quality of life OutcomesInterventions

Copyright 2006, Ida Sim Visualization (cont.) RCT BankOBD interventions conditions outcomes number of participants Visualizations! Visualization meta-model Degree of Interest model Core 2 Core 1 Bank-a-Trial MTCT/STI trials WHO/ CDISC XML Stage III Breast CA XRT and tamoxifen XRT only tamoxifen only 5 year survival 1 year local recurrence 5 year local recurrence 5 year metastatic dissemination 5 year quality of life OutcomesInterventions Presenter

Copyright 2006, Ida Sim Goal 2: Identifying Applicable Trials Use case » I have an HIV patient, which STI trials are applicable? –patients in STI trials are “like” this patient » want to “drag and drop” EHR onto Trial Bank to pull out applicable trials » visualize these applicable trials, explore specific details of trials Terminological matching required » sample EHR coded in SNOMED » RCT Bank trials coded in UMLS

Copyright 2006, Ida Sim Identifying Applicable Trials RCT BankOBD Visualizations! Visualization meta-model Degree of Interest model Core 2 Core 1 Bank-a-Trial STI trials WHO/ CDISC XML Stage III Breast CA XRT and tamoxifen XRT only tamoxifen only 5 year survival 1 year local recurrence 5 year local recurrence 5 year metastatic dissemination 5 year quality of life OutcomesInterventions EHR LexGrid UMLS SNOMED Applicability Engine Core 1 Presenter

Copyright 2006, Ida Sim Goal 3: Meta-Analysis Given set of related trials, use statistical routines » explore statistical heterogeneity » perform quantitative meta-analysis

Copyright 2006, Ida Sim Meta-Analysis RCT BankOBD Visualizations! Core 2 Core 1 Bank-a-Trial STI trials WHO/ CDISC XML Stage III Breast CA XRT and tamoxifen XRT only tamoxifen only 5 year survival 1 year local recurrence 5 year local recurrence 5 year metastatic dissemination 5 year quality of life OutcomesInterventions EHR LexGrid UMLS SNOMED Applicability Engine Core 1 Presenter Meta-analysis Core 2?

Copyright 2006, Ida Sim RCT Reference Ontology? Harmonize RCT Schema with CDISC, caBIG, WHO, etc. through BRIDG (outside cBIO) Put into OWL Deposit into OBO Join the “OBO Collaboratory”

Copyright 2006, Ida Sim Timelines Dec 2006 » Visualization Year 2-3 » applicability » meta-analysis » moving towards OBO

Copyright 2006, Ida Sim Summary Clinical trials are valuable source of biomedical knowledge Trial Bank captures RCTs to support understanding, analyzing, applying RCT evidence Drives cBIO on » Core 1: visualization, terminology mapping, Ocelot->OWL, RCT reference ontology » Core 2: OBD, data interchange standard, meta- analysis

Copyright 2006, Ida Sim Questions To group