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Refactoring INDICATOR into an Advanced Information System for One Health Monitoring
OBJECTIVE: To redesign INDICATOR for One Health, establish a common data format, and provide for long term scalability. INTRODUCTION: INDICATOR is a multi-stream open source platform for biosurveillance and outbreak detection, currently focused on Champaign County in Illinois[1]. It has been in prod...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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University of Illinois at Chicago Library
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692766/ |
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author | Brooks, Ian Felarca, Mario A’cs, Bernie |
author_facet | Brooks, Ian Felarca, Mario A’cs, Bernie |
author_sort | Brooks, Ian |
collection | PubMed |
description | OBJECTIVE: To redesign INDICATOR for One Health, establish a common data format, and provide for long term scalability. INTRODUCTION: INDICATOR is a multi-stream open source platform for biosurveillance and outbreak detection, currently focused on Champaign County in Illinois[1]. It has been in production since 2008 and is currently receiving data from emergency departments, patient advisory nurse call center, outpatient convenient care clinic, school absenteeism, animal control, and weather sources. Long term scalability was however compromised during the 2009 H1N1 influenza pandemic as immediate public health needs took priority over our systematic development plan. With the impending addition of veterinary clinic data and recognizing that the health of a community also depends on animal and environmental factors, we decided to revisit the INDICATOR architecture and redesign it to be a more holistic and scalable system. We also decided to revisit the data submission format, keeping in line with the philosophy of making opportunistic secondary use of as much data about the health of a community that we can obtain. METHODS: Following a formal evaluation of the existing production version of INDICATOR we established the systems architecture shown in Figure 1 to leverage work in other cyberinfrastructure projects at NCSA. RESULTS: We have now implemented the back end changes, including unifying the multiple physical MySQL database systems and multiple Apache Tomcat application engines into a single system. A web application, using service oriented principles and the GWT library, has been developed that can query and display the newly unified data and provide new options for input of data to the system. In order to streamline and simplify the data format we decided to define a single format that can be used by different kinds of healthcare providers, both human and veterinary. Although we recognize the limitations in this approach we define a reported event to be a simple what, when, and where containing the following seven fields or the relevant subset based roughly on the ISDS meaningful use recommendations [2: 1. Date of incident. 2. ICD-9 code for the primary diagnosis. 3. Free text of the diagnosis (not the text definition of the ICD-9 code). 4. Text chief complaint at triage. 5. Location. 6. Count. 7. Species. In this way we can handle, in a single format, data from emergency departments, convenient care clinics, patient advisory nurse call centers, veterinary clinics, veterinary labs, and veterinary poison control centers. CONCLUSIONS: INDICATOR has been significantly redesigned and is now more integrated, scalable, and secure. It is now placed to become a One Health integrated monitoring system. |
format | Online Article Text |
id | pubmed-3692766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | University of Illinois at Chicago Library |
record_format | MEDLINE/PubMed |
spelling | pubmed-36927662013-06-26 Refactoring INDICATOR into an Advanced Information System for One Health Monitoring Brooks, Ian Felarca, Mario A’cs, Bernie Online J Public Health Inform ISDS 2012 Conference Abstracts OBJECTIVE: To redesign INDICATOR for One Health, establish a common data format, and provide for long term scalability. INTRODUCTION: INDICATOR is a multi-stream open source platform for biosurveillance and outbreak detection, currently focused on Champaign County in Illinois[1]. It has been in production since 2008 and is currently receiving data from emergency departments, patient advisory nurse call center, outpatient convenient care clinic, school absenteeism, animal control, and weather sources. Long term scalability was however compromised during the 2009 H1N1 influenza pandemic as immediate public health needs took priority over our systematic development plan. With the impending addition of veterinary clinic data and recognizing that the health of a community also depends on animal and environmental factors, we decided to revisit the INDICATOR architecture and redesign it to be a more holistic and scalable system. We also decided to revisit the data submission format, keeping in line with the philosophy of making opportunistic secondary use of as much data about the health of a community that we can obtain. METHODS: Following a formal evaluation of the existing production version of INDICATOR we established the systems architecture shown in Figure 1 to leverage work in other cyberinfrastructure projects at NCSA. RESULTS: We have now implemented the back end changes, including unifying the multiple physical MySQL database systems and multiple Apache Tomcat application engines into a single system. A web application, using service oriented principles and the GWT library, has been developed that can query and display the newly unified data and provide new options for input of data to the system. In order to streamline and simplify the data format we decided to define a single format that can be used by different kinds of healthcare providers, both human and veterinary. Although we recognize the limitations in this approach we define a reported event to be a simple what, when, and where containing the following seven fields or the relevant subset based roughly on the ISDS meaningful use recommendations [2: 1. Date of incident. 2. ICD-9 code for the primary diagnosis. 3. Free text of the diagnosis (not the text definition of the ICD-9 code). 4. Text chief complaint at triage. 5. Location. 6. Count. 7. Species. In this way we can handle, in a single format, data from emergency departments, convenient care clinics, patient advisory nurse call centers, veterinary clinics, veterinary labs, and veterinary poison control centers. CONCLUSIONS: INDICATOR has been significantly redesigned and is now more integrated, scalable, and secure. It is now placed to become a One Health integrated monitoring system. University of Illinois at Chicago Library 2013-04-04 /pmc/articles/PMC3692766/ Text en ©2013 the author(s) http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/ojphi/about/submissions#copyrightNotice This is an Open Access article. Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes. |
spellingShingle | ISDS 2012 Conference Abstracts Brooks, Ian Felarca, Mario A’cs, Bernie Refactoring INDICATOR into an Advanced Information System for One Health Monitoring |
title | Refactoring INDICATOR into an Advanced Information System for One Health Monitoring |
title_full | Refactoring INDICATOR into an Advanced Information System for One Health Monitoring |
title_fullStr | Refactoring INDICATOR into an Advanced Information System for One Health Monitoring |
title_full_unstemmed | Refactoring INDICATOR into an Advanced Information System for One Health Monitoring |
title_short | Refactoring INDICATOR into an Advanced Information System for One Health Monitoring |
title_sort | refactoring indicator into an advanced information system for one health monitoring |
topic | ISDS 2012 Conference Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692766/ |
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