1 The Data Explosion How can we achieve interoperability? James Williams Siemens Corporate Research Princeton, NJ.

Slides:



Advertisements
Similar presentations
VL-e generic services: Scientific visualization techniques (volume rendering, surface extraction) Image processing algorithms (registration, segmentation)
Advertisements

Image Archiving, Retrieval, Viewing & PACS – A Personal View! Andy Kettle Nuclear Medicine East Kent Hospitals NHS Trust.
Ultra-Sound Obstetrics 2012 The Ultimate Medical Report Writing Application.
HEALTHCARE QUALITY ANALYSIS AND IMPROVED INFORMATION SYSTEM MODEL - BASED ON PORTABLE PATIENT RECORDS” the project started in August 2001 Project consortium.
Philips iSite 3.5 Administration
The Video series. One of the most critical areas for any trucking company is retention and the high cost of driver turnover. Average cost $7,000 - $10,000+
6th MSDI Working Group Meeting
1 What is Canada doing about Lossy Compression? Peter R.G. Bak, Ph.D. Project Director, Diagnostic Imaging and Laboratory Architecture Canada Health Infoway.
S.R.F.E.R.S. State, Regional, and Federal Enterprise Retrieval System Inter-Agency & Inter-State Integration Using GJXML.
Scientific Data Mining: Emerging Developments and Challenges F. Seillier-Moiseiwitsch Bioinformatics Research Center Department of Mathematics and Statistics.
INTERNET DATABASE. Internet and E-commerce Internet – a worldwide collection of interconnected computer network Internet – a worldwide collection of interconnected.
F.Momal / LHC-IAS-FS Experiences with SCADA packages in the LHC division F. Momal, CERN, Geneva.
Picture Archiving And Communication System (PACS)
Beyond HIPAA, Protecting Data Key Points from the HIPAA Security Rule.
Imaging Informatics and PACS
MCS Business Profile Yr Copyright (C) MCS 2013, All rights reserved. 2 MCS Business Focus MCS Business Profile MCS has a business.
Medical Video on Demand Product Presentation Gaddi Menahem, CEO September 2014.
Imaging as a biomarker: standards for change measurements in therapy NIST, Gaithersburg, MD.
Unification of CytometryML, DICOM and Flow Cytometry Standard Robert C. Leif *a and Stephanie H. Leif a a XML_Med, a Division of Newport Instruments, 5648.
Basel Accord IITRANSITIONSERVICES Business Integration Support FCM Management Limited Paris New York Toronto.
What’s New in DICOM 2004 Robert Horn Agfa Healthcare Chair DICOM WG-06 (Base Standard)
QIBA CT Volumetrics - Cross-Platform Study (Group 1C) May 6, 2009 Interclinic Comparison of CT Volumetry Quantitative Imaging Biomarker Alliance.
1 The Discovery Informatics Framework Pat Rougeau President and CEO MDL Information Systems, Inc. Delivering the Integration Promise American Chemical.
Informations Systems in Health Care Mapping out the terrain.
MCS Business Profile Yr Copyright (C) MCS 2013, All rights reserved. 2 MCS Business Focus MCS Business Profile MCS has a business.
Imaging Workspace An Overview and Roadmap Eliot L. Siegel, MD Imaging Workspace Lead SME January 23, 2008.
Perspectives 2008 Canadian The Future of Connected Learning: SkillSoft Strategy John Ambrose November 6, 2008.
Introduction CSE 1310 – Introduction to Computers and Programming Vassilis Athitsos University of Texas at Arlington 1.
THE DATA EXPLOSION: HOW CAN WE ACHIEVE INTEROPERABILITY F.David Rollo M.D., PhD., FACC, FACNP Chief Medical Officer Philips Medical Systems.
Segmentation of Subcortical Sructures in MR Images VPA.
BlueMedics Evidence-based Patient Empowerment. Challenges Integration of clinical data –Horizontal - Sources –Vertical – Data Dynamic incorporation of.
NM Health Information Collaborative LCF/NMHIC NHIN Trial Implementation Contract New Mexico Telehealth Alliance November 1, 2007.
DICOM INTERNATIONAL DICOM INTERNATIONAL CONFERENCE & SEMINAR April 8-10, 2008 Chengdu, China Medical Image Quality Assurance with Automated Constraint.
ITU Workshop: “Radio-Activity Safety and Security Threats Protection and Telemedical Support for Irradiated People” Telebiometrics: Enhancing Telepresence.
Imagine IT February, Our goals for today  Review why we need an electronic Health Record  Present a high level overview of the plan  Steps we.
Helping scientists collaborate BioCAD. ©2003 All Rights Reserved.
The National Biomedical Imaging Archive (NBIA) In Action: An Introduction for Users A Tool Demonstration from caBIG® Presented by: Eliot Siegel, MD Maryland.
September, 2005What IHE Delivers 1 Mike Schmidt, Carl Zeiss Meditec IHE Eye Care Webinar Business Overview of IHE Eye Care June 6-7, 2006.
DICOM INTERNATIONAL DICOM INTERNATIONAL CONFERENCE & SEMINAR April 8-10, 2008 Chengdu, China Efficient, Standard-Compliant Streaming of EHR Imagery Combining.
Classification: Statoil internal Status: Draft
ISO/TC Health Informatics WG2 - Messages and Communications SWG2 - Architecture 28 January 2005 Orlando, Florida Grant Gillis.
C-FIND Performance Issues. Multiple Patient IDs PACS increasingly have records transferred between facilities (IHE and otherwise) Transferred patient.
1 Making Networks Smarter. Trends Everything is moving to the network –Telephony –Video –Web services (and further.
Scanner Validation via the SNM Clinical Trials Network Phantom Program Paul E. Christian Molecular Imaging Program Huntsman Cancer Institute University.
Networked Audio Visual Systems and Home Platforms ADMIRE-P at Med-e-Tel 2005 April 6-8, Application of Video Technologies and Pattern Recognition.
Imaging as a biomarker: standards for change measurements in therapy NIST, Gaithersburg, MD.
Copyright © 2008 Siemens Corporate Research – All rights reserved1/12 eXtensible Imaging Platform (Xip) Sylvain Jaume – Sep 2008 Siemens Corporate Research.
Experts in numerical algorithms and High Performance Computing services Challenges of the exponential increase in data Andrew Jones March 2010 SOS14.
1 What We Do Jim Stanton Perception Management, Inc
Any data..! Any where..! Any time..! Linking Process and Content in a Distributed Spatial Production System Pierre Lafond HydraSpace Solutions Inc
Digital Imaging and Communications in Medicine DICOM.
What’s New in DICOM 2004 Robert Horn Agfa Healthcare Chair DICOM WG-06 (Base Standard)
IHE Workshop – June 2006What IHE Delivers 1 Todd Kantchev, Siemens Molecular Imaging Jerold Wallis, Mallinckrodt Institute of Radiology Kevin O’Donnell,
Girish M. Jashnani Sales Consultant Manage your E-Business Suite more effectively.
DICOM INTERNATIONAL DICOM INTERNATIONAL CONFERENCE & SEMINAR April 8-10, 2008 Chengdu, China Product Experiences Cor Loef Philips Healthcare.
Desktop Integration Rhidian Bramley PACS & Teleradiology Group Meeting November 2005.
Applying New Science to Drug Safety Janet Woodcock, M.D. Acting Deputy Commissioner for Operations April 15, 2005.
Our Client Dr. Mawjood Institute of Indigenous Medicine University Of Colombo.
Imaging Workspace An Overview and Roadmap Eliot L. Siegel, MD Imaging Workspace Lead SME January 23, 2008.
GE Healthcare FCC-FDA meeting: Enabling the Convergence of Communications and Medical Systems Tim Kottak, Executive, Design Controls July 26, 2010.
Thematic priorities Life sciences, genomics and biotechnology for health Nanotechnology Aeronautics Food quality and safety Sustainable development, global.
Redmond Protocols Plugfest 2016 Jinghui Zhang Office Interoperability Test Tools (Test Suites and Open Source Projects) Software Engineer Microsoft Corporation.
F Designed to give you knowledge and application of: Section A: Business organisational structure, governance & management A1. The business organisation.
PACS architecture and reengineering workflow
PACS and application in Friendship Hospital. I. PACS overview.
Testbed for Medical Cyber-Physical Systems
Cor Loef Philips Healthcare
Mixed Reality Server under Robot Operating System
Presentation transcript:

1 The Data Explosion How can we achieve interoperability? James Williams Siemens Corporate Research Princeton, NJ

2 James Williams Siemens Corporate Research What are the right questions? Size : data is growing, how do we cope? Repeatability : how do we standardize and normalize image generation? Availability : how do we get what we want, where we want, in time to make a difference? Processing : how do we make algorithms comparable and portable? Validation : what are the right mechanisms for validation? Context : how can we convert data into knowledge?

3 James Williams Siemens Corporate Research The challenge of size Data sizes grow relentlessly Spatial resolution: CT Temporal Resolution: US Multiple modalities, PET/CT… Follow-up studies Network bandwidth as the bottleneck: Faster networks or… Move processing near the data! When we can, compress: What is diagnostic quality? Where do we need it & when?

4 James Williams Siemens Corporate Research The challenge of repeatability Sources of variation in acquisition Hardware Calibration Protocol Reconstruction Automation of MR scan-rescan protocol: AutoAlign & Phoenix

5 James Williams Siemens Corporate Research Goals of availability The imaging workspace available anywhere reading room office home All data relevant to the patient in one click All data relevant to the protocol available and searchable (teaching cases etc..) Some steps in the right direction: web clients, hanging protocols

6 James Williams Siemens Corporate Research Towards the compatibility and comparability of processing Visualization, detection, segmentation, registration measured with respect to reference standards (VRD) Cross platform executables Plug-in processing, DICOM WG23 ITK, a reference implementation? Open the platforms, but we must assure: Safety Privacy Stability

7 James Williams Siemens Corporate Research The challenge of algorithm validation Create reference databases as open challenges Should part of the database be hidden to avoid over-training? Database must grow and change as acquisition evolves Fast-tracking through the FDA Validation & liability as a 3 rd party business?

8 James Williams Siemens Corporate Research Data in context Beyond images: patient record, lab data, genomic, proteomic data The universal medical record: technology is not the problem. Individual privacy, ethics and economics are the key drivers. The anonymous database of everything. The benefit is clear, how do we cover the cost? Making knowledge from data. The structure has to support exploration for anecdote, and testing of hypothesis.