DOCSLIB.ORG

A Scalable, 2.9 Mw, 1 Mb/S E-Textiles Body Area Network Transceiver with Remotely-Powered Nodes and Bi-Directional Data Communication

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
A Scalable, 2.9 Mw, 1 Mb/S E-Textiles Body Area Network Transceiver with Remotely-Powered Nodes and Bi-Directional Data Communication A Scalable, 2.9 mW, 1 Mb/s e-Textiles Body Area Network Transceiver with Remotely-Powered Nodes and Bi-Directional Data Communication The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Desai, Nachiket, Jerald Yoo, and Anantha P. Chandrakasan. “A Scalable, 2.9 mW, 1 Mb/s E-Textiles Body Area Network Transceiver With Remotely-Powered Nodes and Bi-Directional Data Communication.” IEEE Journal of Solid-State Circuits 49, no. 9 (September 2014): 1995–2004. As Published http://dx.doi.org/10.1109/JSSC.2014.2328343 Publisher Institute of Electrical and Electronics Engineers (IEEE) Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/98890 Terms of Use Creative Commons Attribution-Noncommercial-Share Alike Detailed Terms http://creativecommons.org/licenses/by-nc-sa/4.0/ 1 A Scalable, 2.9 mW, 1 Mb/s e-Textiles Body Area Network Transceiver with Remotely-Powered Nodes and Bi-Directional Data Communication Nachiket Desai, Student Member, IEEE, Jerald Yoo, Member, IEEE, and Anantha P. Chandrakasan, Fellow, IEEE Abstract—This paper presents transceivers and a wireless sends them on to a healthcare provider using conventional power delivery system for a Body-Area Network (BAN) that data networks. uses an e-textiles-based physical layer (PHY) capable of linking Wireless communication devices forming a BAN typically a diverse set of sensor nodes monitoring vital signs on the user’s body. A central base station in the network controls operate in the unlicensed bands, and have to contend with the power delivery and communication resource allotment for every high losses in those bands in the operating environment [5], node using a general-purpose on-chip Node Network Interface [6]. Another scheme for communication with the local base (NNI). The architecture of the network ensures fault-tolerance, station is the use of body-coupled communication (BCC) [7]– reconfigurability and ease of use through a dual wireless-wireline [9]. BCC transceivers avoid a number of multiple-access prob- topology. The nodes are powered at a peak end-to-end efficiency of 1.2% and can transmit measured data at a peak rate of 1 Mb/s. lems when a large number people operate BANs in close prox- Modulation schemes for communication in both directions have imity. However, the path loss in BCC channels is comparable been chosen and a Medium Access and Control (MAC) protocol to wireless channels. In contrast, textiles with electric routing has been designed and implemented on chip to reduce complexity (e-textiles) printed on top of the cloth or woven in as part of at the power-constrained nodes, and move it to the base station. the yarn offer much lower path loss, and have long been a topic While transferring power to a single node at maximum efficiency, the base station consumes 2.9 mW power and the node recovers of research with the aim of building wearable computers [10]. 34 µW, of which 14 µW is used to power the network interface They allow remote powering of the microwatt sensors and circuits while the rest can be used to power signal acquisition their associated telemetry circuits by a network base station circuitry. Fabricated in 0.18 µm CMOS technology, the base [11]–[13]. Building on these advantages, the proposed BAN 2 2 station and the NNI occupy 2.95 mm and 1.46 mm area improves efficiency by using resonant power transfer between respectively. coupled inductors and combines this with electric routing on Index Terms—Body-area networks, e-textiles, continuous clothing to afford better aesthetics and greater comfort to the health monitoring, wireless power delivery, inductive links, in- user by avoiding wires going all the way to sensors adhered tegrated medium access protocol to the body. This allows for cheap, disposable sensors that do not need an integrated battery or radio and can be easily I. INTRODUCTION attached to and removed from the user’s body depending on his/her specific requirements. The system architecture and the ODY-area networks (BANs) allow continuous monitor- circuits used for resonant power transmission and recovery ing of vital signs by linking small, low-power sensors are presented in Sections II and III respectively. Modulation implantedB in and placed on the surface of the body and schemes for communication to and from the nodes have been transmitting the data they measure to healthcare providers chosen to lower the power requirements at the nodes and push [1]. Current state-of-the-art biomedical front-ends [2]–[4] can complexity to the base station. These modulation schemes and measure signals using only microwatts of power, making the circuits implementing them are presented in Section IV. it possible to aggressively minimize their volume and the Medium Access and Control (MAC) protocols used in amount of energy stored locally. In order to realize their commercially-deployed standards for wireless BANs, such potential afforded by these advantageous traits, it makes sense as Bluetooth LE and IEEE 802.15.4/Zigbee [14] include to transfer the data using a two step process. Uncompressed significant protocol overhead at the sensor nodes and are not data is first sent to a local base station (like a cellphone) using compatible with microwatt-sensors. Allowing sensors to sleep a link requiring minimal transmission effort by the sensor and requiring them to wake up after a preset amount of time node. The local base station then processes the signals and [15] to check if the channel is unoccupied requires an accurate, Manuscript received August 27, 2013; revised January 16, 2014. This power-hungry clock at the sensor that is not power-gated. A work was funded by the cooperative agreement between the Masdar MAC protocol for e-textile based BANs that relies on Time- Institute of Science and Technology, Abu Dhabi, UAE and the Mas- Division Multiple Access (TDMA) for resource allotment has sachusetts Institute of Technology, Cambridge, MA, USA, Reference No. 196F/002/707/102f/70/9374. been presented in [11]. A custom MAC protocol that moves N. Desai and A. P. Chandrakasan are with the Department of Electrical all decision-making to the base station to reduce power con- Engineering and Computer Science, Massachusetts Institute of Technology, sumption at the sensor nodes has been proposed and integrated Cambridge, MA, 02139 USA e-mail: [email protected] tel: 617-253-0164. J. Yoo is with the Department of Electrical Engineering and Computer on chip. The custom MAC protocol also allows sensors to Science, Masdar Institute of Science and Technology, Abu Dhabi, UAE. be added and removed easily in order to keep the network 2 Inductors forming links with sensor nodes 32 mm Electric routing on textiles Base Station Fig. 1. An e-textiles shirt implemented with screen-printed spiral inductors linking to sensor nodes (worn inside out for demonstration). The base station’s Fig. 2. Cross-section of inductive link between e-textiles and sensor node. size is limited by test and debug structures on the board. inductor and high power consumption when all inductors are reconfigurable and supports TDMA and Contention Access in the same sub-network. Also, by not adhering to a strict (CA) modes for sensors with wide variation in channel access arrangement like the (X,Y) grid in [12] or the linked list and bandwidth requirements. Details of the implemented MAC in [17], the proposed network architecture allows for greater are presented in Section V. freedom in covering sensors around the body based on user- specific sensor locations. An obvious arrangement would be II. SYSTEM ARCHITECTURE to form sub-networks of inductors covering one part of the A. e-Textiles Network body. The only limitations would be the number of sub- Figure 1 shows an example of the proposed network im- networks that can be supported by the base station and the plemented on a shirt with the user holding the local base combined inductance of the parallelly-connected coils in each station, whose size is limited by the test and debug structures sub-network. For example, the shirt in Figure 1 can support on the board. Spiral inductors and their associated routing that 2-channel ECG while a cap made of similar material can connect them to a central base station have been screen-printed function as an EEG helmet. on fabric using the process described in [16]. Restricting the Power is transferred to the sensor nodes by resonant cou- circuits on textiles to screen-printed passives avoids expensive pling between inductors at the base station and the sensor procedures to bond silicon dies to the routing on fabric and nodes. The network has a star topology, with all sensor nodes keeps the costs of the textiles low. These inductors form near- talking directly to the base station. Modulation schemes for field magnetic links with similar inductors on the sensor nodes, data transmitted in both directions have been chosen to push as shown in Figure 2. These nodes are of a band-aid patch form most of the modulation and demodulation effort away from factor and are worn on the body. The local base station can be the sensor nodes towards the base station. integrated in a cellphone linked to the shirt with a snap-button interface or a secondary inductive link (with additional losses), B. Base Station or onto a clip-on bluetooth-like device linked to the user’s cellphone. This hybrid wireless/wired architecture achieves A block diagram of the implemented base station for the better power efficiency compared to fully wireless- or BCC- network-on-shirt of Figure 1 is shown in Figure 4.
Load more

Recommended publications
  • APPROPRIATE HEALTH TECHNOLOGY Emlrc44itech.Disc./1
    WORLD HEALTH ORGANIZATION ~egional Office for the Eastern Mediterranean ORGANISATION MONDIALE DE LA SANTE Bureau regional de la Mediterranee orientale REGIONAL COMMITTEE FOR THE EMlRC44/Tech.Disc'/l EASTERN MEDITERRANEAN August 1997 Forty-fourth Session Original: Arabic Agenda item 7 TECHNICAL DISCUSSIONS APPROPRIATE HEALTH TECHNOLOGY EMlRC44ITech.Disc./1 CONTENTS page Executive Summary 1. Introduction....................................................................................................... 1 2. Definitions......................................................................................................... 1 2.1 Health technology..................................................................................... I 2.2 Appropriate technology............................................................................. I 3. Appropriate technology and future trends........................................................... 3 3. I General..................................................................................................... 3 3.2 Health care.................................................................... ............................ 3 3.3 Gene technology..... ....... ....... ............ ........................................................ 4 3.4 Laboratory medicine technologies............................................................. 4 3.5 Transfusion medicine................................................................................. 5 3.6 Diagnostic imaging...................................................................................
    [Show full text]
  • Strengthening Care Management with Health Information Technology a Learning Guide
    Strengthening Care Management with Health Information Technology A Learning Guide Presenting lessons learned by the 17 Beacon Community Awardees of the Office of the National Coordinator for Health Information Technology in the U.S. Department of Health and Human Services July 2013 i The Beacon Community Cooperative Agreement Program demonstrates how health IT investments and Meaningful Use of electronic health records (EHR) advance the vision of patient-centered care, while achieving the three-part aim of better health, better care at lower cost. The Department of Health and Human Services, Office of the National Coordinator for Health IT (ONC) is providing $250 million over three years to 17 selected communities throughout the United States that have already made inroads in the development of secure, private, and accurate systems of EHR adoption and health information exchange. Each of the 17 communities—with its unique population and regional context—is actively pursuing the following areas of focus: • Building and strengthening the health IT infrastructure and exchange capabilities within communities, positioning each community to pursue a new level of sustainable health care quality and efficiency over the coming years; • Translating investments in health IT to measureable improvements in cost, quality and population health; and • Developing innovative approaches to performance measurement, technology and care delivery to accelerate evidence generation for new approaches. For more information about the Beacon Community Program visit www.healthit.gov. This Learning Guide is part of the Beacon Nation project and is funded by the Hawai’i Island Beacon Community, an awardee of ONC Beacon Community Program. The Learning Guide was produced by Booz Allen Hamilton, under a contract with the Hawai’i Island Beacon Community.
    [Show full text]
  • How to Leverage Health Technology to Improve Patient Flow
    How to Leverage Health Technology to Improve Patient Flow 3/31/2017 A growing population has led to an increased demand for healthcare services. Concurrently, healthcare reforms and reimbursement requirements necessitate improvements in quality care and patient satisfaction. Healthcare facilities have begun searching for ways in which to handle the influx of patients without sacrificing either quality or the patient experience. How can your facility achieve increased volume and profits while maintaining quality and improving patient satisfaction? This whitepaper addresses how RTLS (Real Time Locating System) technology can be implemented to solve critical issues such as: · Increased capacity · Decreased waiting times · Patient and staff satisfaction · Increased healthcare staff productivity Increased Capacity The aging population in the United States is requiring more healthcare services. As the Baby Boomer population ages, almost twenty percent of the current population living in the United States will reach age 65 or older. This increase in the aging population leads to a significant growth in the number of individuals with chronic conditions. According to the American Hospital Association, the number of Boomers with multiple chronic conditions is continuing to grow and will reach about 37 million adults by 2030.i The prevalence of chronic conditions is also increasing in the United States population as a whole and calls for increased medical services and innovative approaches on how to properly deliver care to this population. Many healthcare delivery systems are utilizing RTLS technology to meet the increased population challenge. The Nor-Lea Medical Clinic in Lovington, New Mexico implemented an RTLS system to handle their growing influx of patients.
    [Show full text]
  • Biomedical Engineering (BMD ENG) 1
    Biomedical Engineering (BMD_ENG) 1 Through the course, students will learn how to apply these experimental BIOMEDICAL ENGINEERING and computational genomics technologies to study gene expression regulation underlying various biological processes, such as oncogenesis. (BMD_ENG) Students will also apply computational and statistical skills, using linux and R/Matlab/Python. BMD_ENG 101-0 Introduction to Biomedical Engineering (0 Unit) BMD_ENG 317-0 Biochemical Sensors (1 Unit) Information to 1) help students determine if BME is the right major Theory, design, and applications of chemical sensors used in medical for them and 2) learn how to make the most of their undergraduate diagnosis and patient monitoring. Electrochemical and optical sensors. experience. The field of biomedical engineering, career and research Prerequisites: BIOL_SCI 215-0; BIOL_SCI 219-0; CHEM 210-1; opportunities, ethics. PHYSICS 135-2; PHYSICS 135-3. BMD_ENG 207-0 BME Lab: Experimental Design (0.5 Unit) A laboratory BMD_ENG 323-0 Visual Engineering Science (1 Unit) course focusing on quantitative physiological measurements Mammalian visual system. Physiological optics. Visual image and analyses, instrument characterization, statistical design of representation and interpretation. Visual adaptation. Motion. Color vision. experiments, and training in preparation and organization of laboratory Prerequisite: PHYSICS 135-2. notes and reports. Prerequisite: BMD_ENG 220-0 or IEMS 303-0 or MECH_ENG 359-0. BMD_ENG 325-0 Introduction to Medical Imaging (1 Unit) Diagnostic X-rays; X-ray film and radiographic image; computed BMD_ENG 220-0 Introduction to Biomedical Statistics (1 Unit) Basic tomography; ultrasound. statistical concepts presented with emphasis on their relevance to Prerequisite: PHYSICS 135-3 or equivalent. biological and medical investigations.
    [Show full text]
  • Executive Brief: Top 10 Health Technology Hazards for 2017
    EXECUTIVE BRIEF Top 10 Health Technology Hazards for 2017 A Report from Health Devices November 2016 EXECUTIVE BRIEF Top 10 Health Technology Hazards for 2017 A Report from Health Devices November 2016 Top 10 Health Technology Hazards for 2017 Executive Brief ECRI Institute is providing this abridged version of its 2017 Top 10 list of health technology hazards as a free public service to inform healthcare facilities about important safety issues involving the use of medical devices and systems. The full report— including detailed problem descriptions and ECRI Institute’s step-by-step recommendations for addressing the hazards—is available to members of certain ECRI Institute programs through their membership web pages. The List for 2017 1. Infusion Errors Can Be Deadly If Simple Safety Steps Are Overlooked 2. Inadequate Cleaning of Complex Reusable Instruments Can Lead to Infections 3. Missed Ventilator Alarms Can Lead to Patient Harm 4. Undetected Opioid-Induced Respiratory Depression 5. Infection Risks with Heater-Cooler Devices Used in Cardiothoracic Surgery 6. Software Management Gaps Put Patients, and Patient Data, at Risk 7. Occupational Radiation Hazards in Hybrid ORs 8. Automated Dispensing Cabinet Setup and Use Errors May Cause Medication Mishaps 9. Surgical Stapler Misuse and Malfunctions 10. Device Failures Caused by Cleaning Products and Practices The Purpose of the List The safe use of health technology—from basic infusion pumps to large, complex imaging systems—requires identifying possible sources of danger or difficulty with those technologies and taking steps to minimize the likelihood that adverse events will occur. This list will help healthcare facilities do that.
    [Show full text]
  • Curriculum & Syllabi
    CURRICULUM & SYLLABI B.TECH DEGREE PROGRAMME BIOMEDICAL ENGINEERING DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING KARUNYA UNIVERSITY, COIMBATORE INDIA Table BM-1 B.Tech. (Biomedical Engineering)–2014 batch COURSE COMPONENTS Excluding PEP subjects(First Year) Table 1 General – 2 credits Credits Sl. No. Sub.Code Course 1 14VE2001 Value Education I / II 2:0:0 /14VE2002 Course Total 2 Table 2 Basic Sciences – 12 credits Credits Sl. No. Sub.Code Course 1 14MA2003 Mathematical Transforms 3:1:0 2 14MA2015 Probability, Random Process and Numerical Methods 3:1:0 3 15BT2001 Medical Biochemistry 3:0:0 4 15BT2002 Medical Biochemistry Laboratory 0:0:1 Course Total 12 Table 3 Engineering Sciences & Technical Credits Sl. No. Sub.Code Arts – 6 credits Course 1 14MS2002 Managerial Skills 3:0:0 2 15EI2001 Health and Hospital Management 3:0:0 Course Total 6 Table 4 Program Core – 75 credits & a full / part semester Sl.No Sub.Code project NameoftheCourse Credits 1 14EE2001 Electric Circuits and Networks 3:1:0 2 14EC2001 Digital Electronics 3:1:0 3 15EI2002 Medical Electronics 3:0:0 4 15EI2003 Biomedical Sensors and Transducers 3:0:0 5 14EC2005 Electron Devices and Circuits Lab 0:0:2 6 15EI2004 Biomedical Sensors and Transducers Laboratory 0:0:2 7 15BT2003 Human Anatomy and Physiology 3:0:0 8 14EC2003 Signals and Systems 3:1:0 9 15EI2005 Biosignal Conditioning Circuits 3:0:0 10 15EI2006 Biocontrol systems 3:1:0 11 15EI2007 Medical Diagnostic Equipment 3:0:0 12 14EC2014 Digital Signal Processing 3:1:0 13 15EI2008 Biosignal Processing Laboratory
    [Show full text]
  • Medical Laboratory Technology Program at Florida State College at Jacksonville
    Revised 4/23/19 School of Health, Education and Human Services Health Program Application Florida State College at Jacksonville 4501 Capper Road, Jacksonville, Florida 32218 Personal Information: Please Print Student Name: EMPL # (number on back of student ID) _______________ Last Four of Social Security #: __________ In compliance with Florida State Statute 119.071(5), students should be aware that Florida State College at Jacksonville collects and uses social security numbers (SSNs) if specifically required by law to do so or if necessary for the performance of the College's duties and responsibilities. The College takes appropriate measures to secure SSNs from unauthorized access and does not release SSNs to other parties except as required to fulfill the College's duties and responsibilities. View full list of SSN collection purposes. Street Address: City, State, Zip Personal Email _________________________FSCJ Email _________________________ Home Phone: ______________________ Cell Phone: __________________________ Birthdate: ____________________ Sex: Male ☐ Female ☐ Race: Black ☐ American Indian ☐ Alaskan Native ☐ White (Not Hispanic Origin) ☐ Asian Or Pacific Islander ☐ Hispanic ☐ Certification: I, certify that all information given in this application is true and accurate to the best of my knowledge. I understand that if I have falsified any information, I am subject to immediate dismissal from the School of Health and Human Services program for which I am selected. I understand that all correspondence regarding the program will be sent to my Florida State College at Jacksonville email account. All applicants will be notified of their status 2 to 3 weeks after deadline date. Signature: Date ______________ Participation in any health science program requires a medical history and physical examination, including a record of immunizations.
    [Show full text]
  • Issues Brief
    issues brief no: 37 date: 24/08/2020 title Measuring value in new health technology assessments: a focus on robotic surgery in public hospitals authors Anna Flynn Executive Director Australian Centre for Value- Based Health Care Alison Verhoeven Chief Executive Australian Healthcare and Hospitals Association Email: [email protected] This paper was developed at the Deeble Institute for Health Policy Research, Australian Hospital and Healthcare Association by the Australian Centre for Value-Based Health Care We connect researchers, policy makers and practitioners to promote research that informs national health policy issues brief Declaration of interests This work has been funded by Stryker who manufactures the Mako robotic system and conducted in collaboration with Metro North Hospital and Health Service and surgeons at The Prince Charles Hospital, Brisbane. Acknowledgements The authors acknowledge the advice and feedback from members of the Australian Healthcare and Hospitals Association Board and Council, the Deeble Institute for Health Policy Research Director Dr Rebecca Haddock and the Advisory Board, and the Australian Centre for Value-Based Health Care Advisory Board. 2 issues brief Table of Contents 1 Introduction .................................................................................................................................... 6 2 Health technology assessment in Australian public hospitals ........................................................ 7 3 Assessing the value of robotic surgery in public hospitals
    [Show full text]
  • A Framework for Selecting Digital Health Technology
    INNOVATION REPORT A Framework for Selecting Digital Health Technology AN IHI RESOURCE 20 University Road, Cambridge, MA 02138 • ihi.org How to Cite This Paper: Ostrovsky A, Deen N, Simon A, Mate K. A Framework for Selecting Digital Health Technology. IHI Innovation Report. Cambridge, MA: Institute for Healthcare Improvement; June 2014. (Available at www.ihi.org). AUTHORS: Andrey Ostrovsky, MD: Pediatric Resident, Children’s Hospital Boston and Boston Medical Center; and Co-founder and CEO, Care at Hand Nigel Deen: Research Assistant, IHI Adam Simon, PhD: President and CEO, Cerora, Inc. Kedar Mate, MD: Senior Vice President, IHI This IHI Innovation Project was conducted in Summer 2013. The Institute for Healthcare Improvement (IHI) is a leading innovator in health and health care improvement worldwide. IHI’s approach to innovation is built on two major concepts: 1) innovation is needed when people, organizations, or systems, seek to move beyond incremental improvement to achieve new levels of performance; and 2) innovation is the bridge between invention and implementation. Innovation, for us, is the key to getting promising inventions executed and adopted across all settings. IHI’s innovation process seeks to research innovative ideas, assess their potential for advancing quality improvement, and bring them to action. The process includes time-bound learning cycles (30, 60, or 90 days) to scan for innovative practices, test theories and new models, and synthesize the findings (in the form of the summary Innovation Report). Learn more about IHI’s innovation process on our website. Copyright © 2014 Institute for Healthcare Improvement All rights reserved. Individuals may photocopy these materials for educational, not-for-profit uses, provided that the contents are not altered in any way and that proper attribution is given to IHI as the source of the content.
    [Show full text]
  • Framework for the Implementation of a Telemedicine Service
    Framework for the Implementation of a Telemedicine Service Framework for the Implementation of a Telemedicine Service Washington, D.C. 2016 C Also published in Spanish (2016): Marco de Implementación de un Servicio de Telemedicina ISBN 978-92-75-31903-1 PAHO HQ Library Cataloguing-in-Publication Pan American Health Organization. Framework for the Implementation of a Telemedicine Service. Washington, DC : PAHO, 2016. 1. Telemedicine - standards. 2. Telemedicine – trends. 3. Public Policy in Health. 4. Medical Informatics. 5. Patient-Centered Care. I. Title. ISBN 978-92-75-11903-7 (NLM Classification: W 83) © Pan American Health Organization, 2016. All rights reserved. The Pan American Health Organization welcomes requests for permission to reproduce or translate its publications, in part or in full. Applications and inquiries should be addressed to the Communications Department, Pan American Health Organization, Washington, D.C., U.S.A. (www.paho.org/permissions). The Office of Knowledge Management, Bioethics and Research will be glad to provide the latest information on any changes made to the text, plans for new editions, and reprints and translations already available. Publications of the Pan American Health Organization enjoy copyright protection in accordance with the provisions of Pro- tocol 2 of the Universal Copyright Convention. All rights are reserved. The designations employed and the presentation of the material in this publication do not imply the expression of any opin- ion whatsoever on the part of the Secretariat of the Pan American Health Organization concerning the status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.
    [Show full text]
  • NAACLS Accredited and Approved Programs As of 5/24/2019
    NAACLS Accredited and Approved Programs as of 5/24/2019 Accredited Programs Cytogenetic Technology Programs Kennesaw State University CG Program Date of Next Material Review: 4/1/2022 Kennesaw State University Award Expires: 4/30/2028 1000 Chastain Road Length of Award: 10 years Kennesaw, GA 30144‐5591 Northern Michigan University CG Program Date of Next Material Review: 10/1/2022 Northern Michigan University Award Expires: 10/31/2028 1401 Presque Isle Ave Length of Award: 10 years 3513 West Science Bldg Marquette, MI 49855‐ University of Connecticut CG Program Date of Next Material Review: 4/1/2022 University of Connecticut Award Expires: 4/30/2027 Dept of Allied Health Sciences Length of Award: 10 (‐1) years 352 Mansfield Road Unit 1101, 222 Koons Hall Storrs, CT 06269‐1101 University of Texas MD Anderson Cancer Center CG Program Date of Next Material Review: 4/1/2020 University of Texas MD Anderson Cancer Center Award Expires: 4/30/2021 1515 Holcombe Blvd, Unit 2 Length of Award: 7 (‐0.5) years Houston, TX 77030‐ Diagnostic Molecular Scientist Programs Northern Michigan University DMS Program Date of Next Material Review: 10/1/2022 Northern Michigan University Award Expires: 10/31/2028 1401 Presque Isle Avenue Length of Award: 10 years 3509 West Science Building Marquette, MI 49855‐5346 SUNY Upstate Medical University DMS Program Date of Next Material Review: 4/1/2019 SUNY Upstate Medical University Award Expires: 4/30/2020 Program in Medical Biotechnology Length of Award: 7 years 750 East Adams Street, Room 3256 Weiskotten Hall Syracuse,
    [Show full text]
  • Improving the Quality and Completeness Of
    September 2020 IMPROVING THE QUALITY AND COMPLETENESS OF ELECTRONIC HEALTH RECORD DATA USED IN SYNDROMIC SURVEILLANCE Final Report Acknowledgements This report describes the work performed on the Improving the Quality and Completeness of EHR Data Used in Syndromic Surveillance project for the Council of State and Territorial Epidemiologists (CSTE) by Thought Bridge, LLC, under the direction of Barbara L. Massoudi, MPH, PhD. The Thought Bridge team led data collection, analysis and solution design activities described in this report during the project period of performance, October 1, 2019 – July 31, 2020. This work was performed under CSTE and Centers for Disease Control and Prevention (CDC) – Cooperative Agreement number 1 NU38OT000297- 01-00. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of CDC. CSTE and Thought Bridge would like to thank the following organizations for their participation in the EHR for Syndromic Surveillance Project Workgroup: Alabama Department of Public Health Alaska Department of Health and Social Services Arizona Department of Health Services Boston Public Health Commission Centers for Disease Control and Prevention Cerner Corporation Connecticut Department of Public Health Florida Department of Health ICF International (on contract to CDC) Illinois Department of Public Health Kansas Department of Health and Environment Massachusetts Department of Public Health New Hampshire Department of Health and Human Services New York State Department of Health Ohio Department of Health Tennessee Department of Health Utah Department of Health Virginia Department of Health Washington State Department of Health Wisconsin Department of Health Services All key informant interviews were conducted by Dr.
    [Show full text]