Microsoft Amalga the Unified Intelligence System
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The Fourth Paradigm
ABOUT THE FOURTH PARADIGM This book presents the first broad look at the rapidly emerging field of data- THE FOUR intensive science, with the goal of influencing the worldwide scientific and com- puting research communities and inspiring the next generation of scientists. Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. The speed at which any given scientific discipline advances will depend on how well its researchers collaborate with one another, and with technologists, in areas of eScience such as databases, workflow management, visualization, and cloud- computing technologies. This collection of essays expands on the vision of pio- T neering computer scientist Jim Gray for a new, fourth paradigm of discovery based H PARADIGM on data-intensive science and offers insights into how it can be fully realized. “The impact of Jim Gray’s thinking is continuing to get people to think in a new way about how data and software are redefining what it means to do science.” —Bill GaTES “I often tell people working in eScience that they aren’t in this field because they are visionaries or super-intelligent—it’s because they care about science The and they are alive now. It is about technology changing the world, and science taking advantage of it, to do more and do better.” —RhyS FRANCIS, AUSTRALIAN eRESEARCH INFRASTRUCTURE COUNCIL F OURTH “One of the greatest challenges for 21st-century science is how we respond to this new era of data-intensive -
Official Signed Contract
Region 4 Education Service Center (ESC) Contract # R200805 for Cyber Security Solutions and Associated Products & Services vCloud Tech Inc. Effective: October 1, 2020 The following documents comprise the executed contract between Region 4 Education Service Center and vCloud Tech Inc., effective October 1, 2020: I. Appendix A: Vendor Contract II. Offer and Contract Signature Form III. Supplier’s Response to the RFP, incorporated by reference I n v e n t i n g what's next Roadmap to software-defined world +1 (833) 482-5683 [email protected] www.vcloudtech.com Get in touch +1 (833) 482-5683 [email protected] www.vcloudtech.com Company Profile Making IT Happen with difference A b o u t U s The Era of Cloud First... vCloud Tech was born in the era of cloud first, mobile first and software-defined everything. We've come together to INNOVATION enable innovation at scale and built thriving relationships We help our customers innovate with technology with our many technology partners and customers. O u r V i s i o n Our Mission EXCELLENCE We deliver our services At vCloud Tech, we believe we Guided by a relentless with excellence can fuel innovation and unleash focus on quality service the full potential of organizations we will strive and enable globally. Our top-notch talent, expertise and cloud-first our customers to innovate INTEGRITY approach are committed to our and we will deliver a We serve customers with integrity customer's growth. Our mantra unique experience is to go the extra mile for our allowing our customers to clients with a goal to deliver excellence. -
June 18, 2010 David Blumenthal, MD, MPP National Coordinator for Health Information Technology Department of Health and Human Se
S TATE OF M AINE G OVERNOR’ S O FFICE OF H EALTH P OLICY AND F INANCE 15 S TATE H OUSE S TATION AUGUSTA, MAINE 04333-0078 JOHN E. BALDACCI TRISH RILEY GOVERNOR DIRECTOR June 18, 2010 David Blumenthal, MD, MPP National Coordinator for Health Information Technology Department of Health and Human Services 200 Independence Avenue, S.W. Washington, DC 20201 Dear Dr. Blumenthal, On behalf of Maine’s Office of the State Coordinator for Health Information Technology and HealthInfoNet, we are submitting the attached revised Maine Statewide Health Information Exchange Strategic and Operational Plans for your review. Our plan reflects an ongoing collaborative effort reflective of the state’s health and healthcare systems. This is the final strategic and operational plans for the state of Maine submitted to the ONC that upon approval will allow for the implementation funding of the HIE Cooperative Agreement to be released. We look forward to hearing from the ONC on the results of reviewing our plans and to begin implementation of our plans. Sincerely, James F. Leonard, Director Office of the State Coordinator for Health Information Technology Governors Office of Health Policy and Finance Shaun T. Alfreds, MBA, CPHIT Chief Operating Officer HealthInfoNet 6-18-2010 Revision Maine Statewide Health Information Exchange Strategic and Operational Plans A Strategy to Create an Infrastructure that Preserves and Improves the Health of Maine People Released to ONC and for Public Comment on 6/18/2010 2 6-18-2010 Revision Table of Contents: Acknowledgements -
Managing Non-DICOM Images Within an Enterprise Imaging Solution Agenda • Enterprise Imaging / Non-DICOM Market Trends
Managing Non-DICOM Images within an Enterprise Imaging Solution Agenda • Enterprise Imaging / Non-DICOM Market Trends • Managing Non-DICOM Images in the Enterprise • Merge’s Non-DICOM Solution Options • Questions? Enterprise Imaging / Non-DICOM Trends 3 Interoperability Market Drivers M&A / Consolidation Enterprise Image Management Clinical and Financial Economies of Scale Comprehensive Image Record Connecting Providers EHR Optimization Patient Centric Care Across Sites Unified Patient Image Record 4 Providers Generate a Flood of Data Digital Clinical Objects Specialty MPEG, JPEG Other Most Common Devices DICOM A/V, WAV , PDF Clinical Anesthesia In Room C-Arm, X-ray, Anesthetic, Record Keeping Reports Cardiology CVMR, CVCT, Cath, CVUS, CVECG / Holter / Stress / Pace Dermatology Photos, dermatological Reports Emergency Medicine X-ray, CT, ECG, Triage Reports Endocrinology SPECT / CT, PET / CT, Physician Reports, Voice Dictation Files Family Medicine Physician Notes, Reports Gastroenterology Barium X-ray, CT, NM, Endoscopes, US, Reports, Voice Dictation Files Hematology HT Reports, Voice Dictation Files ICU Medicine In Dept C-Arm, X-ray, Patient CIS Flow Chart Reports Nephrology US and MRI Angiography, Scintigraphy (Nuc Med) Reports Voice Neurology Renal Scans, SPECT/CT, PET/CT, Physician Reports, Renal Grams, Voice iConnect™ Solution Nuclear Medicine Stored in a VNA US, Physician Reports, Voice Dictation Files Obstetrics X-ray, CT, US, Reports, Voice Dictation Files, Fetal Strips, Reports Oncology -
Intro to HL7 and DICOM
Working in an Integrated Digital Healthcare Enterprise 2004 Introduction and Update to HL7 and DICOM Herman Oosterwijk, Adjunct faculty, University of North Texas President OTech Inc. [email protected] www.otechimg.com DICOM/HL7 slide 1 Working in an Integrated Digital Healthcare Enterprise 2004 Agenda: ! What is HL7 ! What’s new in HL7 ! What is DICOM ! What’s new in DICOM ! Conclusion, Q and A DICOM/HL7 slide 2 DICOM/HL7 what’s new? Herman Oosterwijk www.otechimg.com page 1 Working in an Integrated Digital Healthcare Enterprise 2004 What is HL7: ! A pragmatic, simple protocol to exchange information dealing with, for example: ! Patient registration ! Orders (clinical, radiology, laboratory, etc.) ! results and observations ! queries, e.g. for patient demographics ! finance for billing purposes ! master files and indexes ! document control, such as approval status ! scheduling and logistics DICOM/HL7 slide 3 Working in an Integrated Digital Healthcare Enterprise 2004 Information Workflow example: Broker System Ordering, Scheduling Modality Worklist Mgt HL7 Storage Archive Storage Cmt Reporting Retrieve Performed Procedure Viewing Step DICOM/HL7 slide 4 DICOM/HL7 what’s new? Herman Oosterwijk www.otechimg.com page 2 Working in an Integrated Digital Healthcare Enterprise 2004 DICOM vs HL7 ! Scope is Imaging ! Scope beyond Imaging ! Protocol is mainly ! Protocol is Event driven, Client/Server i.e. unsolicited Events ! Based on Object ! Object Oriented in v 3.0 Oriented principles ! Attributes encoded ! Attributes: text strings ! Conformance -
(DICOM) Part 16: Content Mapping Resource
PS 3.16-2001 Digital Imaging and Communications in Medicine (DICOM) Part 16: Content Mapping Resource Published by National Electrical Manufacturers Association 1300 N. 17th Street Rosslyn, Virginia 22209 USA © Copyright 2001 by the National Electrical Manufacturers Association. All rights including translation into other languages, reserved under the Universal Copyright Convention, the Berne Convention or the Protection of Literacy and Artistic Works, and the International and Pan American Copyright Conventions. - Standard - PS 3.16 - 2001 Page 2 CONTENTS CONTENTS..........................................................................................................................................................................2 FOREWORD........................................................................................................................................................................4 1.....Scope and field of application...................................................................................................................................5 2.....Normative references .................................................................................................................................................5 BI-RADS Terminology and Nomenclature...................................................................................................5 MQCM 1999 Terminology and Nomenclature................................................................................................5 MQSA Terminology and Nomenclature...........................................................................................................5 -
Improving the Delivery System for Civil Legal Aid Latonia Haney Keith Concordia University School of Law, [email protected]
Concordia University - Portland CU Commons Faculty Scholarship School of Law Fall 2016 Poverty, the Great Unequalizer: Improving the Delivery System for Civil Legal Aid Latonia Haney Keith Concordia University School of Law, [email protected] Follow this and additional works at: http://commons.cu-portland.edu/lawfaculty Part of the Law and Politics Commons, Law and Race Commons, Law and Society Commons, Legal Ethics and Professional Responsibility Commons, Legal History Commons, and the Other Law Commons CU Commons Citation Latonia H. Keith, Poverty, the Great Unequalizer: Improving the Delivery System for Civil Legal Aid, 66 Cath. U. L. Rev. 55 (2017). This Article is brought to you for free and open access by the School of Law at CU Commons. It has been accepted for inclusion in Faculty Scholarship by an authorized administrator of CU Commons. For more information, please contact [email protected]. POVERTY, THE GREAT UNEQUALIZER: IMPROVING THE DELIVERY SYSTEM FOR CIVIL LEGAL AID Latonia Haney Keith+ I. THE POVERTY LANDSCAPE—WHO NEEDS LEGAL HELP & WHY? ...............58 A. Demographics of Low-Income Populations .........................................59 1. Clients Eligible for LSC-Funded Civil Legal Aid ..........................59 2. Other Vulnerable Populations .......................................................60 B. Civil Legal Needs of Low-Income Populations ....................................63 1. Cases or Matters Handled by LSC-Grantees .................................63 2. Civil Legal Needs Studies ..............................................................63 3. Cases or Matters Handled by Pro Bono Attorneys ........................64 II. CIVIL LEGAL AID—THE COMPLEXITY OF THE DELIVERY SYSTEM.............65 A. Increasing Supply: Initiatives to Expand Legal Aid into the Private Bar & Law Schools ...................................................67 1. Pro Bono Legal Services ................................................................67 2. -
Cooperating Standards in Healthcare GS1 Standards and Other Standards Cooperating in Clinical Treatment Scenarios
GS1 identifiers Other standards The Global Language of Business GTIN (Global Trade Item Number) SNOMED CT (Systematized Nomenclature of Products such as medicinal products, medical Medicine / Clinical Terms) devices, medical consumables, vaccines, blood It is the most comprehensive and precise clinical derivatives and raw materials at all product and health terminology product in the world, owned and packaging levels (e.g. unit of use, primary distributed around the world by SNOMED Cooperating standards packaging, retail unit, inner pack, case and pallet). International. SNOMED CT has been developed Attributes such as batch/lot number and expiry date collaboratively to ensure it meets the diverse needs in healthcare can provide additional traceability information. and expectations of clinicians worldwide and is now Individual trade item instance(s) can be identified accepted as a common global language for health GS1 standards and other standards by combining the GTIN with a serial number, which is terms. Improved health records, clinical decisions cooperating in clinical treatment scenarios mandated by an increasing number of regulations. and analysis, leading to higher quality, consistency and safety in healthcare delivery benefit from GLN (Global Location Number) SNOMED CT. www.snomed.org Locations: Theatres, Patient rooms, Wards, DICOM (Digital Imaging and Communications in Pharmacies, imprest/Store rooms, Pathology, Medicine) Radiology, Distribution centres, Manufacturing sites, It is the international standard to transmit, store, -
Working with the DICOM Data Standard in R
Working with the DICOM Data Standard in R Brandon Whitcher Volker J. Schmid Pfizer Worldwide R&D Ludwig-Maximilians Universit¨at Munchen¨ Andrew Thornton Cardiff University Abstract The package oro.dicom facilitates the interaction with and manipulation of medical imaging data that conform to the DICOM standard. DICOM data, from a single file or single directory or directory tree, may be uploaded into R using basic data structures: a data frame for the header information and a matrix for the image data. A list structure is used to organize multiple DICOM files. The conversion from DICOM to ANALYZE/NIfTI is straightforward using the capabilities of oro.dicom and oro.nifti. Keywords: export, imaging, import, medical, visualization. 1. Introduction Medical imaging is well established in both the clinical and research areas with numerous equipment manufacturers supplying a wide variety of modalities. The DICOM (Digital Imag- ing and Communications in Medicine; http://medical.nema.org) standard was developed from earlier standards and released in 1993. It is the data format for clinical imaging equip- ment and a variety of other devices whose complete specification is beyond the scope of this paper. All major manufacturers of medical imaging equipment (e.g., GE, Siemens, Philips) have so-called DICOM conformance statements that explicitly state how their hardware im- plements DICOM. The DICOM standard provides interoperability across hardware, but was not designed to facilitate efficient data manipulation and image processing. Hence, additional data formats have been developed over the years to accommodate data analysis and image processing. The material presented here provides users with a method of interacting with DICOM files in R (R Development Core Team 2010). -
Imaging Reports Using HL7 Clinical Document Architecture Page 2
PS3.20 DICOM PS3.20 2021d - Imaging Reports using HL7 Clinical Document Architecture Page 2 PS3.20: DICOM PS3.20 2021d - Imaging Reports using HL7 Clinical Document Architecture Copyright © 2021 NEMA A DICOM® publication - Standard - DICOM PS3.20 2021d - Imaging Reports using HL7 Clinical Document Architecture Page 3 Table of Contents Notice and Disclaimer ........................................................................................................................................... 13 Foreword ............................................................................................................................................................ 15 1. Scope and Field of Application ............................................................................................................................. 17 2. Normative and Informative References .................................................................................................................. 19 3. Definitions ....................................................................................................................................................... 21 4. Symbols and Abbreviations ................................................................................................................................. 23 5. Conventions ..................................................................................................................................................... 25 5.1. Template Metadata .................................................................................................................................... -
Harnessing the Power of Technology to Improve Chronic Care Management
Harnessing the Power of Technology to Improve Chronic Care Management A Whitepaper Harnessing the Power of Technology to Improve Chronic Care Management Contents Executive Summary .............................................................................................................................................................................................. 3 The Cost of Care .................................................................................................................................................................................................... 4 Self-Management Scenario .............................................................................................................................................................................. 6 Care Coordination Scenario.............................................................................................................................................................................. 8 Caregiver/Patient Collaboration Scenario ................................................................................................................................................. 11 Improved Decision Support Scenario ......................................................................................................................................................... 13 Future of Healthcare ......................................................................................................................................................................................... -
DICOM 3.0 Conformance Statement Butterfly Network DICOM Connector
DICOM 3.0 Conformance Statement Butterfly Network DICOM Connector Published by: Butterfly Network Inc. 530 Old Whitfield Street Guilford, CT 06437 March 20, 2019 Document Version: B Document Number: 950-20005-00 Page 2 of 19 Table of Contents Conformance Statement Overview 3 Introduction 3 Revision History 3 Audience 3 Remarks 4 Definitions, Terms, and Abbreviations 4 References 5 Networking 5 Implementation Model 5 Application Data Flow 7 Functional Definitions of the Application Entities 7 Storage Application Entity 7 Workflow Application Entity 7 Verification Application Entity 8 Sequencing of Real-World Activities 8 Application Entity Specifications 9 SOP Classes 9 Association Policies 9 General 9 Association Initiation Policy 10 Image Store Activity – Real World Triggers 10 Proposed Presentation Contexts to Remote Storage SCP. 10 Query Worklist Activity – Real World Triggers 10 Proposed Presentation Contexts to Remote MWL SCP. 11 SOP Specific Conformance for Worklist Management SOP Class 11 Support of Character Sets 13 Security 13 Security Profiles 13 Basic TLS Secure Transport Connection Profile 13 Association Level Security 13 Application-Level Security 14 Appendix A - IOD Details 15 Supported IOD Specifications 15 © 2019 Butterfly Network Inc 950-20005-00 rev B This is a controlled document. Printed copies are for reference purposes, the original is maintained in electronic format in the Butterfly Network QMS. Page 3 of 19 1. Conformance Statement Overview Butterfly Network’s foundational innovation enables construction of an ultrasound machine on a chip without the need for bulky computers or crystal transducers. The Butterfly iQ Ultrasound transducer connects to a Mobile Device (iPhone or iPad) running the Butterfly iQ mobile App to enable its users to image patients using the ultrasound technology and generate medical images.