The Data Quality Program in PEDSnet. Ritu Khare, PhD Department of Biomedical and Health Informatics The Children s Hospital of Philadelphia
|
|
- Marshall Brown
- 5 years ago
- Views:
Transcription
1 The Data Quality Program in PEDSnet Ritu Khare, PhD Department of Biomedical and Health Informatics The Children s Hospital of Philadelphia
2 Contents PEDSnet Overview Data Quality Results (JAMIA) Key Data Quality Checks
3 700 #OMOP table records 600 (in millions) PEDSnet CDRN = 5.86M patients in pediatrics
4 PEDSnet Data Cycle S1 S2 S3 S4 S5 S6 S7 S8 PEDSnet sites (at various locations) PEDSnet ETL Conventions (v2.7) ETL OMOP Common Data Model Data Quality WorkUlow PCORnet ETL Specifications (v3.1) ETL PCORnet Common Data Model
5 Data Quality Conceptual Model Check Type Check Missing data Missing data for person.gesta)onal_age designed for OMOP Domain contains Field identifies Site X observed 70% missing data for gesta)onal age in data cycle Y Data Cycle Nota%on Entity relationship Issue observed at Site generaliza)on
6 PEDSnet Data Quality (DQ) WorkBlow (2) Investigate differences (1)Apply DQ checks Site data (OMOP ) (3) Post feedback Site ETL Analysts GitHub (4) Identify causes DQ Issues (current) DQ Issues (previous) Data Quality warehouse
7 GitHub Issue Screenshot
8 Results Results of Data Quality
9
10 Methods PEDSnet Data Quality Warehouse January 2015 March 2017 (13 data cycles) Total 9,086 data quality issues and related metadata OMOP domain Field Check type Cause Identi2ied (all) vs. reported(new) issues time to closure (GitHub)
11 Checks vs. Issues 1400 OMOP v4 OMOP v Checks All Issues Data Cycle Pilot cycle Code review Code refactoring
12 Causes across issues % of all Issues i2b2 transform Under Review False alarm Characteristic ETL Data Cycle
13 Distribution across Domains (cycle-13) Total number of issues
14 Distribution across Check Types (cycle-13) Total number of issues
15 All issues = Persistent + New (reported) issues 1400 OMOP v4 OMOP v Number of Data Quality Issues New issues Persistent Issues Data Cycle Access to additional units/data, i2b2- >OMOP
16 Causes across new(reported) issues Percentage of New Issues i2b2 transform Under review False alarm Characteristic ETL Data Cycle
17 Time to closure of GitHub issues
18 Results Data Quality Checks
19 Evolution of Data Quality Checks Number of Checks THEORY-DRIVEN Frameworks, methods in literature (Brown et al. 2013, Weiskopf and Weng, 2013, Kahn et al. 2015) c Ø PESDnet committee members Ø Data and issue review DEVELOPER-DRIVEN PEDSnet engages in science (>50 studies) USER-DRIVEN Data Cycle
20 Data Quality Checks in PEDSnet Overlap with Achilles Heel Value set violation Invalid concept identibier Illegal vocabulary Missing data No matching concepts Future event Pre-birth fact Post-death fact Start date after end date
21 Data Quality Checks in PEDSnet New Checks (PEDSnet data committee) Inclusion criteria violation Date time inconsistency measurement_datetime vs. measurement_date Invalid format procedure_source_value, condition_source_value Unexpected change between data cycles number of records missingness in Bields
22 Data Quality Checks in PEDSnet New checks (science queries) Missing expected concept E.g. creatinine labs, nephrology specialty for providers. InsufBicient facts for specibic visit types E.g. missing DRGs for inpatient admissions Unexpected more frequent values Identify outliers in top conditions and procedures (using crosssite comparison)
23 Open Questions and Challenges in Check Design Design checks for new (unexpected) issues encountered during science queries Determine the combination of Bields / tables Determination of thresholds Automatic review of ETL mappings labs, organisms, specialty, route, race, ethnicity, drugs, language, procedure, smoking history 1000s of manually derived mappings PEDSnet Data Quality Checks available on GitHub
24 Acknowledgments Data Quality Team David Soler Josh Tucker PEDSnet data scientists Hanieh Razzaghi Levon Utidjian PEDSnet DCC director L. Charles Bailey Other PEDSnet teams ETL analysts Site Informatics Leads Leadership and Governance PCORnet Governance Committees and DRN OC This work was supported by PCORI Contract CDRN OHDSI Consortium Patients and Families
Predicting Causes of Data Quality Issues in a Clinical Data Research Network
Predicting Causes of Data Quality Issues in a Clinical Data Research Network Ritu Khare, PhD 1, Byron J. Ruth, MS 1, Matthew Miller, MS 1, Joshua Tucker 1, BS, Levon H. Utidjian, MD, MBI 1,2, Hanieh Razzaghi,
More informationThe European OHDSI Initiative: Why are we here? Peter Rijnbeek Department of Medical Informatics Erasmus MC Rotterdam
The European OHDSI Initiative: Why are we here? Peter Rijnbeek Department of Medical Informatics Erasmus MC Rotterdam Performing multi-database studies in Our Goals: We want to generate real-world evidence
More informationHealth Sciences South Carolina: A Statewide Collaborative Learning Health System
Health Sciences South Carolina: A Statewide Collaborative Learning Health System Current data contributors include MUSC, Palmetto Health System and Spartanburg Health systems. Greenville Health System
More informationAn Open Collaborative Approach for Rapid Evidence Generation
An Open Collaborative Approach for Rapid Evidence Generation David K. Vawdrey, PhD George Hripcsak MD, MS Jon D. Duke MD, MS Patrick Ryan PhD Nigam H. Shah MBBS, PhD AMIA Joint Summits on Translational
More informationCase study: Challenges faced by EMIF in utilising the OMOP CDM. Johan van der Lei Erasmus Medical Center Rotterdam
Case study: Challenges faced by EMIF in utilising the OMOP CDM Johan van der Lei Erasmus Medical Center Rotterdam Outline Scaffolding EMIF and a CDM EMIF and the OMOP CDM Ongoing activities/challenges
More informationInteroperability for clinical research Observational Health Data Sciences and Informatics (OHDSI)
9 ème École d'eté Méditerranéenne d'information en Santé Corte, France July 18, 2017 Interoperability for clinical research Observational Health Data Sciences and Informatics (OHDSI) Olivier Bodenreider
More informationS18: Using PopMedNet TM to Support a Large Scale Multi-Site Research Network: Lessons from PCORnet
S18: Using PopMedNet TM to Support a Large Scale Multi-Site Research Network: Lessons from PCORnet Jessica Malenfant, MPH Informatics Analyst Department of Population Medicine of Harvard Medical School
More informationData Driven Resources to Assess Project Feasibility
Research IT Information & Exchange Series Data Driven Resources to Assess Project Feasibility March 10, 2017 Research IT Information & Exchange Series Goal: To educate pediatric researchers on the Research
More informationThe Observational Health Data Sciences and Informatics (OHDSI) Project and Aspects of EHR Data Quality
The Observational Health Data Sciences and Informatics (OHDSI) Project and Aspects of EHR Data Quality George Hripcsak, MD, MS Columbia University New York, USA Observational Health Data Sciences and Informatics
More informationADAPTABLE. The Aspirin Study CDRN Call. 26 September 2016
ADAPTABLE The Aspirin Study CDRN Call 26 September 2016 Agenda for Today ADAPTABLE Updates ADAPTABLE Specific Data Queries Other Items.. ADAPTABLE Updates 3 New sites activated Friday: Utah, Penn State,
More informationPCORI Methodology Standards: Academic Curriculum Patient-Centered Outcomes Research Institute. All Rights Reserved.
PCORI Methodology Standards: Academic Curriculum 2016 Patient-Centered Outcomes Research Institute. All Rights Reserved. Module 5: Architecture for Data Networks Category 7: Data Networks as Research-Facilitating
More informationWebinar Tips Please mute your phone. Please do not put the call on hold. There will be time for questions after the presentation.
Webinar Tips Please mute your phone. Please do not put the call on hold. There will be time for questions after the presentation. Carolinas Collaborative Pilot RFA Webinar May 8, 2017 Partners Overview
More informationOHDSI Collaborator Mee0ng: Unit & Regression Tes.ng of your Common Data Model
OHDSI Collaborator Mee0ng: Unit & Regression Tes.ng of your Common Data Model 20- FEB- 2018 Erica Voss Clair Blacketer / Ajit Londhe / Jamie Weaver Today s Discussion High- level Tes0ng Terminology Life
More informationLarge electronic healthcare databases for medical product safety surveillance The U.S. FDA Mini-Sentinel project
Large electronic healthcare databases for medical product safety surveillance The U.S. FDA Mini-Sentinel project Darren Toh, ScD Department of Population Medicine Harvard Medical School and Harvard Pilgrim
More informationGovernance Policies for PCORnet, the National Patient-Centered Clinical Research Network
Governance Policies for PCORnet, the National Patient-Centered Clinical Research Network 1.0 Leadership and Decision-Making When reading this document it is important to note that there are several categories
More informationObservational Health Data Sciences and Informatics (OHDSI) Data integration & data sharing in the era of Big Data Berlin 2016 July 12-13
Observational Health Data Sciences and Informatics (OHDSI) Data integration & data sharing in the era of Big Data Berlin 2016 July 12-13 http://ohdsi.org OHDSI (pronounced Odyssey ) The Observational Health
More informationGovernance Policies for PCORnet, the National Patient-Centered Clinical Research Network. Approved August 31, 2015
Governance Policies for PCORnet, the National Patient-Centered Clinical Research Network Approved August 31, 2015 Governance Policies for PCORnet, the National Patient-Centered Clinical Research Network
More informationJeffrey Brown, PhD. November 12, 2013 Department of Population Medicine Harvard Pilgrim Health Care Institute/ Harvard Medical School
info@mini-sentinel.org 1 Biosimilar Collective Intelligence System: Utilizing Data Consortiums to Prove Safety and Effectiveness of Biosimilars Reviewing current landscape of existing data consortiums:
More informationGovernance Policies for PCORnet, the National Patient-Centered Clinical Research Network
Governance Policies for PCORnet, the National Patient-Centered Clinical Research Network 1.0 Leadership and Decision Making When reading this document, it is important to note that there are several categories
More informationThe Enterprise Data Governance Evolution: Positioning Your Organization at the Cutting Edge of Data Quality Improvement
Session #11 The Enterprise Data Governance Evolution: Positioning Your Organization at the Cutting Edge of Data Quality Improvement Natalie Rahming, PhD Enterprise Data Governance Program Lead, Children
More informationWHITE PAPER. The next chapter of enterprise analytics and how payers can prepare
WHITE PAPER The next chapter of enterprise analytics and how payers can prepare Healthcare payers today are facing a changing healthcare marketplace that demands business model transformation and the redesign
More informationHow Medical Informatics and HERON Can Help Your Research? Russ Waitman Division of Medical Informatics Department of Biostatistics November 17, 2011
How Medical Informatics and HERON Can Help Your Research? Russ Waitman Division of Medical Informatics Department of Biostatistics November 17, 2011 This project has been supported in part by NIH grant
More informationBrochure. ACA Compliance. What is being mandated for T-MSIS and State Medicaid agencies and how can you achieve compliance?
Brochure What is being mandated for T-MSIS and State Medicaid agencies and how can you achieve compliance? Truven Health Analytics was acquired by IBM in 2016 to help form a new business, Watson Health.
More informationWebinar Tips Please mute your phone. Please do not put the call on hold. There will be time for questions after the presentation.
Webinar Tips Please mute your phone. Please do not put the call on hold. There will be time for questions after the presentation. Carolinas Collaborative Pilot RFA Webinar June 29, 2018 Partners Overview
More informationS02: Presentations - Population Health Querying Electronic Health Data for Population Health Activities using PopMedNet TM
` S02: Presentations - Population Health Querying Electronic Health Data for Population Health Activities using PopMedNet TM Jessica Malenfant, MPH Senior Health Informatics Analyst Department of Population
More informationPrecision Medicine: Harnessing Biomedical Data to Improve the Prediction, Prevention, Diagnosis and Treatment of Disease
Precision Medicine: Harnessing Biomedical Data to Improve the Prediction, Prevention, Diagnosis and Treatment of Disease Session #61, February 20, 2017 Jason Levine, MD, Assoc. Director of Clinical Informatics,
More informationOutline. Quality of Data Linkage Megan Bohensky August Background Quality in Data Linkage Study Example Reporting Standards.
Outline Background Quality in Data Linkage Study Example Reporting Standards Quality of Data Linkage Megan Bohensky August 2016 2 of 20 Benefits of Data Linkage Data Linkage is Popular Data is distributed
More informationManaging Denials: Covering all the Bases
www.pwc.com Managing Denials: Covering all the Bases HFMA 2017 Texas State Conference March 26 th, 2017 Presenting Today Jon Souder Director, Revenue Performance Management Jon is a Director in s Health
More informationObservational Health Data Sciences and Informatics (OHDSI): An International Network for Open Science and Data Analytics in Healthcare
Observational Health Data Sciences and Informatics (OHDSI): An International Network for Open Science and Data Analytics in Healthcare Patrick Ryan, PhD Janssen Research and Development Columbia University
More informationProduct Overview 2007 MIDAS+ CPMS and DataVision. Vicky A. Mahn-DiNicola RN, MS, CPHQ Vice President and Product Manager ACS MIDAS+
Product Overview 2007 MIDAS+ CPMS and DataVision Vicky A. Mahn-DiNicola RN, MS, CPHQ Vice President and Product Manager ACS MIDAS+ 2007 MIDAS+ CPMS and DataVision Client Base 533 Client Hospitals in comparative
More informationSooner, Better, Faster: Harnessing the Power of Big Data in Healthcare. Somesh Nigam, Ph.D. SVP and Chief Analytics & Data Officer
1 Sooner, Better, Faster: Harnessing the Power of Big Data in Healthcare Somesh Nigam, Ph.D. SVP and Chief Analytics & Data Officer 2 Uniquely positioned to be a catalyst for change Connected to all key
More informationMaximizing Big Data and Analytics to Improve Performance
Maximizing Big Data and Analytics to Improve Performance Asha Saxena Founder ACULYST, Corp March 13, 2017 Speaker Biography Healthcare Technology Entrepreneur. Founder & Chief Innovation Officer of ACULYST
More informationIntroduction to Machine Learning for Longitudinal Medical Data
Introduction to Machine Learning for Longitudinal Medical Data Orlando Doehring, Ph.D. Unit 2, 2A Bollo Lane, London W4 5LE, UK orlando.doehring@phastar.com Machine learning for healthcare 1 Machine Learning
More informationFDA Seeking Research Fellows and Interns Summer, Semester, 1 year, and Thesis Projects Available
FDA Seeking Research Fellows and Interns Summer, Semester, 1 year, and Thesis Projects Available 1. Pediatric Heart Failure PRO Project Appropriate for a master s or PhD student test measurement theory,
More informationTOTAL CANCER CARE: CREATING PARTNERSHIPS TO ADDRESS PATIENT NEEDS
TOTAL CANCER CARE: CREATING PARTNERSHIPS TO ADDRESS PATIENT NEEDS William S. Dalton, PhD, MD CEO, M2Gen & Director, Personalized Medicine Institute, Moffitt Cancer Center JULY 15, 2013 MOFFITT CANCER CENTER
More informationA JOURNEY TO TRUSTED DATA
TELSTRA TEMPLATE 4X3 BLUE BETA TELPPTV4 A JOURNEY TO TRUSTED DATA RICK ANDREWS MAY 2014 ENTERPRISE DATA WAREHOUSE THE INFORMATION FACTORY 1 BUSINESS EVENTS occur & raw data is created 2 3 Subassemblies
More informationNESTcc Call for Concepts Public Webinar. Rachael L. Fleurence, PhD. NESTcc Executive Director January 4, 2018
Dial-In: +1-415-655-0002 Access code: 662 348 083 Join Online: https://mdic.webex.com/mdic/ onstage/g.php?mtid=edc86dc3 ee6a3970422222c725600570b NESTcc Call for Concepts Public Webinar Rachael L. Fleurence,
More informationBig Data & Clinical Informatics
Big Data & Clinical Informatics Client Overview A leading clinical intelligence company that powers healthcare providers, life sciences and research organizations to make better-informed, more confident
More informationTechnical White Paper. The data curation process. Watson Health Informatics overview of mapping, standardization, and indexing
Technical White Paper Informatics overview of mapping, standardization, and indexing Contents 02 About Informatics and Analytics 02 Data mapping and extraction 03 04 The curation workflow 04 Curation transparency
More informationThe Wonderful World of Informatics
The Wonderful World of Informatics VI Jornadas Universitarias de Sistemas de Informción en Salud 31 de octubre, 1 y 2 de noviembre 2011 W. Ed Hammond, PhD, FACMI, FAIMI, FAIMBE, FHL7 Director, Duke Center
More informationDigital Health and the Challenge of Interoperability
Digital Health and the Challenge of Interoperability Theodoros N. Arvanitis, RT, DPhil, CEng, MIET, AMIA, NYAS, FRSM Professor of e-health Innovation & Head of Research Institute of Digital Healthcare,
More informationTHE MIRACUM CONSORTIUM
THE MIACUM CONSOTIUM Prof. Dr. Hans-Ulrich Prokosch Chair of Medical Informatics, University of Erlangen-Nürnberg CIO University Hospital Erlangen MIACUM Coordinator 11.07.2018 Meeting with EHDEN consortium
More informationOverall Architecture and Distributed Analysis Tools
Overall Architecture and Distributed Analysis Tools Daniella Meeker, PhD Department of Preventive Medicine University of Southern California Michael E. Matheny, MD, MS, MPH Tennessee Valley Healthcare
More informationData Mining for Genomic- Phenomic Correlations
Data Mining for Genomic- Phenomic Correlations Joyce C. Niland, Ph.D. Associate Director & Chair, Information Sciences Rebecca Nelson, Ph.D. Lead, Data Mining Section City of Hope National Medical Center
More informationA Methodology for Quantitative Measurement of Quality and Comprehensiveness of a Research Data Repository (IDR Snapshot) Vojtech Huser MD PhD
A Methodology for Quantitative Measurement of Quality and Comprehensiveness of a Research Data Repository (IDR Snapshot) Vojtech Huser MD PhD Acknowledgement Wisconsin Institute for discovery Private branch:
More informationComparing the use of OMOP and Sentinel CDMs for Drug Safety Implications for European Data
Comparing the use of OMOP and Sentinel CDMs for Drug Safety Implications for European Data Andrew Bate Senior Director, Epidemiology Group Lead, Analytics A Common Data Model for Europe? Why? Which? How?
More informationThe Hunt for the Data Scientist GIEWEE HAMMOND MSCAN, MSCAS LEAD DATA SCIENTIST, ARAMCO SERVICES COMPANY
The Hunt for the Data Scientist GIEWEE HAMMOND MSCAN, MSCAS LEAD DATA SCIENTIST, ARAMCO SERVICES COMPANY Overview Highlight that data science has domain specific specialties To provide clarity on what
More informationWhat is the purpose of this website?
What is the purpose of this website? This website aims to explain: How it is possible for different methods to give different results for the same test on the same patient sample Why it is important to
More information2012 Prime Clinical Systems, Inc. 1
2012 Prime Clinical Systems, Inc. 1 About HL7.. Hospitals, doctors, and other healthcare centers around the world require the ability to send and receive healthcare data, including patient information
More informationChallenges with Clinical Trial Data Analysis
Newsletter June 22 Challenges with Clinical Trial Data Analysis SAS (Statistical Analysis System) programming activity is an inseparable part of clinical trial data analysis. Moreover, the regulatory authorities
More informationNational Patient-Centered Clinical Research Network (PCORnet) Distributed Research Network (DRN)
National Patient-Centered Clinical Research Network (PCORnet) Distributed Research Network (DRN) Questions Answered from Preparatory-to-Research to Comparative Effectiveness S03 Jessica L. Sturtevant,
More informationBridging the Gap: Importing Health Indicators Warehouse Data into SAS Visual Analytics Using SAS Stored Processes and APIs
Paper 10540-2016 Bridging the Gap: Importing Health Indicators Warehouse Data into SAS Visual Analytics Using SAS Stored Processes and APIs Li-Hui Chen, PhD. Consumer Product Safety Commission 1 ; Manuel
More informationThe Colorado Health Observation Regional Data Service (CHORDS): Creating a Shared Distributed Data Network for Local Public Health and Research Needs
The Colorado Health Observation Regional Data Service (CHORDS): Creating a Shared Distributed Data Network for Local Public Health and Research Needs 1 Presenters Rachel Zucker, Adult and Child Consortium
More informationPCORNet and the PaTH Clinical Data Research Network
PCORNet and the PaTH Clinical Data Research Network Cynthia Chuang, MD, MSc Division of General Internal Medicine February 17, 2016 Outline Debunking the RCT Introducing the Learning Health System Using
More informationPlanning for informatics in your grant applications. Samuel Volchenboum Julie Johnson November 14, 2017
Planning for informatics in your grant applications Samuel Volchenboum Julie Johnson November 14, 2017 Center for Research Informatics Applications - Systems - Bioinformatics - Data warehousing - Clinical
More informationCHSOR. Johns Hopkins Clinical Data Opportunities for Clinical and Translational Research. Baltimore, 6 Feb 2018
Johns Hopkins Clinical Data Opportunities for Clinical and Translational Research Christopher G. Chute, MD DrPH Bloomberg Distinguished Professor of Health Informatics Professor of Medicine, Public Health,
More informationIntegrating Research into Health Care Systems: Executives' Views
Integrating Research into Health Care Systems: Executives' Views NIH Collaboratory Grand Rounds February 27, 2015 Eric Larson MD, MPH and Karin Johnson, PhD Group Health Research Institute NIH Collaboratory
More informationDeveloping AI Technology Platform in Hospital Authority
Developing AI Technology Platform in Hospital Authority Artificial Intelligence and Digital Healthcare Workshop Kevin Cai Chief Information Officer 22 nd November 2018 Our AI Vision HA s Clinical Management
More informationThese seminars are a collaborative work of NIATx, SAAS and The National Council supported by SAMHSA.
Behavioral Health providers are being challenged to adopt health information technology with very limited resources. There is a need to prepare for increased numbers of patients receiving health insurance
More informationTechnical White Paper. Metadata management. Ontologies, measures, registries, and patient attribution
Technical White Paper Ontologies, measures, registries, and patient attribution Contents 02 About Informatics and Analytics 02 Ontologies used by 04 Quality measures metadata 04 Clinical registry metadata
More informationCI Information Hub. Incorporating Text Analysis into Business and Competitive Intelligence
CI Information Hub Incorporating Text Analysis into Business and Competitive Intelligence March 12, 2008 Iknow LLC 100 Overlook Center, 2nd Floor Princeton, New Jersey 08540-7814 T: (609) 419-0500 F: (609)
More informationUsing CDASH data collection forms for automated SAE reporting
Using CDASH data collection forms for automated SAE reporting Andrew Newbigging Vice President, Integrations Development 21 st July 2010 Medidata Solutions, Inc. Proprietary - Medidata and Authorized Clients
More informationUC Health: Better Together Information Technology & Leveraging Scale for Value (LSfV) A Presentation to HIMSS So Cal December 1, 2015
UC Health: Better Together Information Technology & Leveraging Scale for Value (LSfV) A Presentation to HIMSS So Cal December 1, 2015 UC Health By The Numbers 6 Medical schools $1.8B NIH funding 4 th Largest
More informationMeaningful Use Audit Process: Focus on Outcomes and Security
Meaningful Use Audit Process: Focus on Outcomes and Security Phyllis A. Patrick, MBA, FACHE, CHC The 22nd National HIPAA Summit February 6, 2014 Phyllis A. Patrick & Associates LLC Topics Meaningful Use
More informationTHE GERMAN MEDICAL INFORMATICS INITIATIVE
THE GERMAN MEDICAL INFORMATICS INITIATIVE AND THE MIRACUM CONSORTIUM Prof. Dr. Hans-Ulrich Prokosch Chair of Medical Informatics, University of Erlangen-Nürnberg CIO University Hospital Erlangen MIRACUM
More informationAn Integrated Approach to Patient Experience Analytics
An Integrated Approach to Patient Experience Analytics Director of Value Analytics Johns Hopkins Medicine Email: KLee31@jhmi.edu Vision, Mission, and Values Vision Enhance the value of health care services
More informationThe Anatomy of a Successful Data Management team
The Anatomy of a Successful Data Management team 21 st June 2011 Jon Asprey VP, Strategic Consulting Overview The continuing challenge today Making DQ a demonstrable success Maturing market (increased
More informationHealth Disparities: The Employer s Business Case
Health Disparities: The Employer s Business Case K. Andrew Crighton, MD Chief Medical Officer Prudential Financial, Inc. Who is Prudential? Founded over 130 years ago in Newark, NJ. In the Fortune 500
More informationDr. David A. Clifton W.K. Kellogg Research Fellow in Biomedical Engineering Institute of Biomedical Engineering, University of Oxford
Dr. David A. Clifton W.K. Kellogg Research Fellow in Biomedical Engineering Institute of Biomedical Engineering, University of Oxford The clinical need Method: machine learning for vital-signs monitoring
More informationSuccessful and Faster Drug Development through Data Mining Dirk Belmans, Ph.D. SAS Belgium
Successful and Faster Drug Development through Data Mining Dirk Belmans, Ph.D. SAS Belgium The Life-Cycle of a Successful Pharmaceutical Product Sales Costs Patent Filing R&D time to launch is decreasing
More informationStartUp America Challenge. Improvements to Information Structure Data Standards, Quality & Interoperability. Part 3 FINAL PROJECT PLAN
StartUp America Challenge Improvements to Information Structure Data Standards, Quality & Interoperability Part 3 FINAL PROJECT PLAN Lyndia A. Hayden Northwestern University MED 407, Winter 2012 StartUp
More informationNIEHS and Data Integration
NIEHS and Data Integration Where We ve Been and Where We re Going Linda Birnbaum, Ph.D., D.A.B.T., A.T.S. Director National Institute of Environmental Health Sciences National Toxicology Program Informing
More informationSection D. Examples, Participation, and Leveraging Standards Harmonization Products
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this
More informationLeveraging the Electronic Health Record for Population Decision Support and Quality Measurement. Jonathan S. Einbinder, MD, MPH
Leveraging the Electronic Health Record for Population Decision Support and Quality Measurement Jonathan S. Einbinder, MD, MPH Eighth National Quality Colloquium August 18, 2009 1 Objective Develop awareness
More informationHow can we build a strong and thriving open source / open data community around FAIR principles?
How can we build a strong and thriving open source / open data community around FAIR principles? PERSONAL HEALTH TRAIN WORKSHOP, UTRECHT, NOVEMBER 10, 2016 Kees van Bochove, CEO & Founder, The Hyve Agenda
More informationThe University of Toledo Finance and Audit Committee Meeting Internal Audit Status Update
The University of Toledo Finance and Audit Committee Meeting Internal Audit Status Update March 12, 2015 FY2015 Internal Audit Plan Progress 28 Projects on Approved Internal Audit and Compliance Plan Projects
More informationA Coordinated Registry Network Based on the Vascular Quality Initiative: VISION. Vascular Implant Surveillance & Interventional Outcomes Network
A Coordinated Registry Network Based on the Vascular Quality Initiative: VISION Vascular Implant Surveillance & Interventional Outcomes Network Jack L. Cronenwett, MD Medical Director, Society for Vascular
More informationIntegrated Data Repository. Mike Conlon, PhD Associate Director, UF CTSI
Integrated Data Repository Mike Conlon, PhD Associate Director, UF CTSI What if we had a repository That contained clinical data from Epic for all patients in the health care system Combined that data
More informationCreating a Strategy for Value Driven
Creating a Strategy for Value Driven Analytics Danyal Ibrahim, MD, MPH Chief Data and Analytics Officer Rob Beeman Executive Director of Decision Support Saint Francis Hospital and Medical Center Hartford,
More informationDistributed Population Queries
Distributed Population Queries Richard Elmore Digital Learning Collaborative Institute of Medicine August 18, 2011 Topics Strategic Rationale Summer Concert Series Query Health Alignment Strategic Rationale:
More informationMoving UDI from Regulation to Value Within Hospitals and Beyond
Moving UDI from Regulation to Value Within Hospitals and Beyond Karen Conway Executive Director, Industry Relations, GHX Terrie Reed, MDEpiNet Coordinating Center Duke Clinical Research Institute Slide
More informationMEANINGFUL USE CRITERIA PHYSICIANS
MEANINGFUL USE CRITERIA PHYSICIANS The first list is of the 25 Stage 1 Meaningful Use criteria for eligible providers (EP) and comes from the proposed rule: "Medicare and Medicaid Programs; Electronic
More informationPROFESSIONAL TECHNICAL. Courses that will help you apply your skills. METHOD OF DELIVERY ADDITIONAL INFORMATION ACHILLES EU ACADEMY
PRESSIONAL TECHNICAL Courses that will help you apply your skills. ACHILLES EU ACADEMY The EU Academy has been specifically designed to provide a full understanding of the complexities of EU procurement
More informationNQF. A Comprehensive Framework and Preferred Practices for Measuring and Reporting Cultural Competency CULTURAL COMPETENCY A CONSENSUS REPORT
NQF NATIONAL QUALITY FORUM CULTURAL COMPETENCY A Comprehensive Framework and Preferred Practices for Measuring and Reporting Cultural Competency A CONSENSUS REPORT The mission of the is to improve the
More informationProvider Data: A Fundamental Need for Collaboration
Provider Data: A Fundamental Need for Collaboration February 4 th, 2016 Executive Summary Accurate and timely provider data continues to be a foundational necessity for both care delivery and financing
More informationPCORnet Front Door/ GPC Research Opportunity Assessment Process. Thursday 1:00 2:30 PM
PCORnet Front Door/ GPC Research Opportunity Assessment Process Thursday 1:00 2:30 PM PCORnet FRONT DOOR POLICY April 15, 2016 PCORnet, The National Patient-Centered Clinical Research Network, will establish
More informationFDA s Mini-Sentinel Program Update for the Brookings Active Surveillance Implementation Council
info@mini-sentinel.org 4 FDA s Mini-Sentinel Program Update for the Brookings Active Surveillance Implementation Council Richard Platt, MD, MSc Harvard Pilgrim Health Care Institute and Harvard Medical
More informationOpen Source Software Resilience Framework
Open Source Software Resilience Framework Apostolos Kritikos / Ioannis Stamelos PhD Candidate / Professor Informatics School., Aristotle University of Thessaloniki akritiko@csd.auth.gr /apostoloskritikos
More informationDuane Steward, DVM, MSIE, PhD Nemours, Chief Computer Scientist for Clinical Informatics University Central Florida, Assistant Professor
Duane Steward, DVM, MSIE, PhD Nemours, Chief Computer Scientist for Clinical Informatics University Central Florida, Assistant Professor Agenda Define Health Information Exchange Key Issues Of Identification
More informationThe 101 of MIROW: Interactive workshop on a new guidance Decrementing Inventory via Electronic Data Exchange
The 101 of MIROW: Interactive workshop on a new guidance Decrementing Inventory via Electronic Data Exchange Delivered by the AIRA-MIROW Steering Committee 2015 AIRA National Meeting New Orleans, Louisiana
More informationDesign Qualification SOP
1.0 Commercial in Confidence 16-Aug-2006 1 of 13 Design Qualification SOP Document No: SOP_0400 Prepared by: David Brown Date: 16-Aug-2006 Version: 1.0 1.0 Commercial in Confidence 16-Aug-2006 2 of 13
More informationThe Dawn of Precision Delivery:
The Dawn of Precision Delivery: Integrating Analytics in Routine Patient Care Ravi B. Parikh, MD, MPP Resident in Internal Medicine, Brigham and Women s Hospital Clinical Fellow in Medicine, Harvard Medical
More informationSolution Brief. The IBM Explorys Platform. Liberate your healthcare data
Solution Brief Liberate your healthcare data Highlights A data management superstructure designed to provide speed, scalability, and security, plus a series of healthcare-specific source connectors and
More informationAACT-Results: The Results dataset extensions for the AACT database
AACT-Results: The Results dataset extensions for the AACT database {AACT: Aggregate Analysis database of ClinicalTrials.gov} Asba Tasneem, PhD Duke Clinical Research Institute Background! ClinicalTrials.gov!
More informationSEINE: There and Back Again Dan Connolly Biomedical informatics software engineer
AMIA 2017 Joint Summits Informatics Implementation Track IIT01: Panel - i2b2 and REDCap Dynamic Data Pull (DDP) and REDCap: An Auto Instantiated Data Mart SEINE: There and Back Again Dan Connolly Biomedical
More informationTechnology Trends and Impacts on CDI Programs. Tim Minnich, Solution Sales Executive, Mobile:
Technology Trends and Impacts on CDI Programs Tim Minnich, Solution Sales Executive, Tim.minnich@optum.com Mobile: 610-587-7366 Computer Assisted Coding & NLP The use of computer software that automatically
More informationDistributed Health Data Networks: Implementing a Scalable Query Interface within PopMedNet for Use in Large-Scale Diverse Networks
Distributed Health Data Networks: Implementing a Scalable Query Interface within PopMedNet for Use in Large-Scale Diverse Networks Jessica Malenfant, MPH Department of Population Medicine of Harvard Medical
More informationValidating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality
Validating drug repurposing signals using electronic health records: a case study of metformin associated with reduced cancer mortality Hua Xu, PhD School of Biomedical Informatics, UTHealth JAMIA Journal
More informationEverybody is Different
RESPECT & INCLUSION Leveraging Cultural Differences & Diversity in the Workplace Presented by: Dennis Hungridge, M.A., SHRM-SCP TPO Consultant/Training & Development Specialist dennish@tpohr.com Respect
More informationRESPECT & INCLUSION. Leveraging Cultural Differences & Diversity in the Workplace. Presented by:
RESPECT & INCLUSION Leveraging Cultural Differences & Diversity in the Workplace Presented by: Dennis Hungridge, M.A., SHRM-SCP TPO Consultant/Training & Development Specialist dennish@tpohr.com Respect
More information