Adaptation of a web-based, open source electronic medical record system platform to support a large study of tuberculosis epidemiology
Background In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous exp...
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| Published in | BMC medical informatics and decision making Vol. 12; no. 1; p. 125 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
BioMed Central
07.11.2012
BioMed Central Ltd BMC |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1472-6947 1472-6947 |
| DOI | 10.1186/1472-6947-12-125 |
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| Abstract | Background
In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched.
Results
Data collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers.
Conclusions
The information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research. |
|---|---|
| AbstractList | BACKGROUND: In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched. RESULTS: Data collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers. CONCLUSIONS: The information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research. Background In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched. Results Data collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers. Conclusions The information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research. Keywords: Electronic medical record, Developing country, Multidrug-resistant tuberculosis, MDR-TB Doc number: 125 Abstract Background: In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched. Results: Data collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers. Conclusions: The information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research. In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched. Data collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers. The information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research. In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched.BACKGROUNDIn 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched.Data collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers.RESULTSData collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers.The information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research.CONCLUSIONSThe information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research. In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched. Data collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers. The information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research. Abstract Background In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched. Results Data collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers. Conclusions The information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research. Background In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched. Results Data collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers. Conclusions The information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research. |
| ArticleNumber | 125 |
| Audience | Academic |
| Author | Murray, Megan Fraser, Hamish SF Thomas, David Garcia, Nadia Tomaylla, Juan Lecca, Leonid Becerra, Mercedes C |
| AuthorAffiliation | 2 Partners In Health, Boston, MA, USA 4 Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA 3 Partners In Health, Lima, Peru 1 Division of Global Health Equity, Brigham and Women’s Hospital, Boston, MA, USA |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23131180$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_2196_45242 crossref_primary_10_1186_s12911_016_0354_8 crossref_primary_10_1016_j_cmpb_2014_07_002 crossref_primary_10_1016_j_jbi_2014_11_012 crossref_primary_10_1186_s12913_016_1971_8 crossref_primary_10_2196_medinform_8131 crossref_primary_10_1371_journal_pgph_0002155 crossref_primary_10_3414_ME14_01_0133 crossref_primary_10_2196_50407 crossref_primary_10_1016_j_ijmedinf_2016_11_008 crossref_primary_10_1093_jamia_ocu038 crossref_primary_10_1097_MLR_0b013e3182848a52 |
| Cites_doi | 10.1056/NEJM200104263441706 10.1186/1745-6215-11-79 10.1371/journal.pmed.0050006 10.1186/1472-6947-7-33 10.1136/jamia.2009.000893 10.1056/NEJMoa0800106 10.1016/j.ijid.2008.09.015 10.1016/j.jbi.2008.08.010 10.1136/jamia.2010.005520 |
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| Copyright | Fraser et al.; licensee BioMed Central Ltd. 2012 COPYRIGHT 2012 BioMed Central Ltd. 2012 Fraser et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright ©2012 Fraser et al.; licensee BioMed Central Ltd. 2012 Fraser et al.; licensee BioMed Central Ltd. |
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| References_xml | – volume: 344 start-page: 1294 year: 2001 end-page: 1303 ident: CR1 article-title: Global trends in resistance to anti-tuberculosis drugs. World Health Organization– International Union against tuberculosis and lung disease working group on anti-tuberculosis drug resistance surveillance publication-title: N Engl J Med doi: 10.1056/NEJM200104263441706 – volume: 14 start-page: 1009 issue: Suppl 8 year: 2010 end-page: 1015 ident: CR7 article-title: Electronic lab system reduces errors in National Tuberculosis Program: Cluster randomized controlled trial publication-title: Int J Tuberc Lung Dis – ident: CR18 – year: 2006 ident: CR8 publication-title: Norma Técnica de Salud para el Control de la Tuberculosis – volume: 11 year: 2011 ident: CR30 publication-title: Implementing mobile phone-based data collection in a large cohort longitudinal study in Lima, Peru – volume: 11 start-page: 79 year: 2010 ident: CR4 article-title: Heterogeneity prevails: the state of clinical trial data management in Europe - results of a survey of ECRIN centres publication-title: Trials doi: 10.1186/1745-6215-11-79 – start-page: 232 year: 2010 end-page: 236 ident: CR25 article-title: Implementing medical information systems in developing countries, what works and what doesn’t publication-title: Proc AMIA Symp – volume: 5 start-page: e6 issue: Suppl 3 year: 2008 ident: CR3 article-title: Could an Open-Source Clinical Trial Data-Management System Be What We Have All Been Looking For? publication-title: PLoS Med doi: 10.1371/journal.pmed.0050006 – ident: CR14 – volume: 7 start-page: 33 issue: 1 year: 2007 ident: CR16 article-title: A web-based laboratory information system to improve quality of care of tuberculosis patients in Peru: design, implementation and evaluation methodology publication-title: BMC Med Inform DecisMak doi: 10.1186/1472-6947-7-33 – volume: 160 start-page: 416 issue: Pt 1 year: 2010 end-page: 420 ident: CR23 article-title: Combining vital events registration, verbal autopsy and electronic medical records in rural Ghana for improved health services delivery publication-title: Stud Health Technol Inform – ident: CR10 – volume: 17 start-page: 124 issue: 2 year: 2010 end-page: 130 ident: CR35 article-title: Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2) publication-title: J Am Med Inform Assoc doi: 10.1136/jamia.2009.000893 – ident: CR33 – volume: 359 start-page: 563 issue: Suppl 6 year: 2008 end-page: 574 ident: CR2 article-title: Extensively Drug-Resistant Tuberculosis: A Comprehensive Treatment Approach publication-title: N Engl J Med doi: 10.1056/NEJMoa0800106 – volume: 168 start-page: 89 year: 2011 end-page: 95 ident: CR26 article-title: On selecting a clinical trial management system for large scale, multi-centre, multi-modal clinical research study publication-title: Stud Health Technol Inform – ident: CR27 – volume: 13 start-page: 410 issue: 3 year: 2009 end-page: 418 ident: CR29 article-title: PDAs to collect tuberculosis bacteriology data in Peru reduce delays, errors, workload, and are acceptable to users: Cluster randomized controlled trial publication-title: Int J Infect Dis doi: 10.1016/j.ijid.2008.09.015 – ident: CR19 – start-page: 529 year: 2006 end-page: 533 ident: CR11 article-title: Cooking up an open source EMR for developing countries: OpenMRS – A recipe for successful collaboration publication-title: Proc AMIA Symp – ident: CR15 – year: 2011 ident: CR20 article-title: Cohort Profile: The international epidemiological databases to evaluate AIDS (IeDEA) in sub-Saharan Africa publication-title: Int J Epidemiol – ident: CR17 – start-page: 13 year: 2010 end-page: 20 ident: CR12 article-title: Human factors for capacity building: lessons learned from the OpenMRS implementers network publication-title: Yearb Med Inform – ident: CR31 – ident: CR9 – ident: CR32 – ident: CR34 – ident: CR36 – volume: 42 start-page: 377 year: 2009 end-page: 381 ident: CR5 article-title: Research electronic data capture (REDCap) – a metadata-driven methodology and workflow process for providing translational research informatics support publication-title: J Biomed Inform doi: 10.1016/j.jbi.2008.08.010 – start-page: 960 year: 2011 end-page: 8 ident: CR13 article-title: Open MRS Collaborative Investigators. OpenMRS, a global medical records system collaborative: factors influencing successful implementation publication-title: AMIA AnnuSymp Proc – start-page: 270 year: 2002 end-page: 274 ident: CR6 article-title: Informatics tools to monitor progress and outcomes of patients with drug resistant tuberculosis in Perú publication-title: Proc AMIA Symp – volume: 18 start-page: 150 issue: 2 year: 2011 end-page: 155 ident: CR22 article-title: Evaluation of computer-generated reminders to improve CD4 laboratory monitoring in sub-Saharan Africa: a prospective comparative study publication-title: J Am Med Inform Assoc doi: 10.1136/jamia.2010.005520 – ident: CR28 – volume: 160 start-page: 337 year: 2010 end-page: 341 ident: CR21 article-title: Using Electronic Medical Records for HIV Care in Rural Rwanda publication-title: Stud Health Technol Inform – ident: CR24 – volume: 344 start-page: 1294 year: 2001 ident: 576_CR1 publication-title: N Engl J Med doi: 10.1056/NEJM200104263441706 – ident: 576_CR24 – volume: 17 start-page: 124 issue: 2 year: 2010 ident: 576_CR35 publication-title: J Am Med Inform Assoc doi: 10.1136/jamia.2009.000893 – ident: 576_CR18 – ident: 576_CR32 – volume: 160 start-page: 337 year: 2010 ident: 576_CR21 publication-title: Stud Health Technol Inform – ident: 576_CR34 – volume: 160 start-page: 416 issue: Pt 1 year: 2010 ident: 576_CR23 publication-title: Stud Health Technol Inform – volume: 359 start-page: 563 issue: Suppl 6 year: 2008 ident: 576_CR2 publication-title: N Engl J Med doi: 10.1056/NEJMoa0800106 – start-page: 960 volume-title: AMIA AnnuSymp Proc year: 2011 ident: 576_CR13 – volume-title: Implementing mobile phone-based data collection in a large cohort longitudinal study in Lima, Peru year: 2011 ident: 576_CR30 – ident: 576_CR14 – start-page: 232 volume-title: Proc AMIA Symp year: 2010 ident: 576_CR25 – ident: 576_CR10 – volume: 7 start-page: 33 issue: 1 year: 2007 ident: 576_CR16 publication-title: BMC Med Inform DecisMak doi: 10.1186/1472-6947-7-33 – volume: 13 start-page: 410 issue: 3 year: 2009 ident: 576_CR29 publication-title: Int J Infect Dis doi: 10.1016/j.ijid.2008.09.015 – start-page: 529 volume-title: Proc AMIA Symp year: 2006 ident: 576_CR11 – ident: 576_CR28 – volume-title: Norma Técnica de Salud para el Control de la Tuberculosis year: 2006 ident: 576_CR8 – volume: 5 start-page: e6 issue: Suppl 3 year: 2008 ident: 576_CR3 publication-title: PLoS Med doi: 10.1371/journal.pmed.0050006 – start-page: 13 volume-title: Yearb Med Inform year: 2010 ident: 576_CR12 – ident: 576_CR17 – volume: 11 start-page: 79 year: 2010 ident: 576_CR4 publication-title: Trials doi: 10.1186/1745-6215-11-79 – ident: 576_CR31 – ident: 576_CR15 – ident: 576_CR33 – ident: 576_CR19 – volume-title: Int J Epidemiol year: 2011 ident: 576_CR20 – volume: 18 start-page: 150 issue: 2 year: 2011 ident: 576_CR22 publication-title: J Am Med Inform Assoc doi: 10.1136/jamia.2010.005520 – ident: 576_CR36 – start-page: 270 volume-title: Proc AMIA Symp year: 2002 ident: 576_CR6 – volume: 42 start-page: 377 year: 2009 ident: 576_CR5 publication-title: J Biomed Inform doi: 10.1016/j.jbi.2008.08.010 – volume: 168 start-page: 89 year: 2011 ident: 576_CR26 publication-title: Stud Health Technol Inform – ident: 576_CR9 – ident: 576_CR27 – volume: 14 start-page: 1009 issue: Suppl 8 year: 2010 ident: 576_CR7 publication-title: Int J Tuberc Lung Dis – reference: 18318594 - PLoS Med. 2008 Mar 4;5(3):e6 – reference: 21893916 - Stud Health Technol Inform. 2011;168:89-95 – reference: 12463829 - Proc AMIA Symp. 2002;:270-4 – reference: 20938564 - Yearb Med Inform. 2010;:13-20 – reference: 21593078 - Int J Epidemiol. 2012 Oct;41(5):1256-64 – reference: 17238397 - AMIA Annu Symp Proc. 2006;:529-33 – reference: 17963522 - BMC Med Inform Decis Mak. 2007;7:33 – reference: 11320389 - N Engl J Med. 2001 Apr 26;344(17):1294-303 – reference: 20663165 - Trials. 2010;11:79 – reference: 22195155 - AMIA Annu Symp Proc. 2011;2011:960-8 – reference: 20626946 - Int J Tuberc Lung Dis. 2010 Aug;14(8):1009-15 – reference: 19097925 - Int J Infect Dis. 2009 May;13(3):410-8 – reference: 18929686 - J Biomed Inform. 2009 Apr;42(2):377-81 – reference: 20841704 - Stud Health Technol Inform. 2010;160(Pt 1):337-41 – reference: 20841720 - Stud Health Technol Inform. 2010;160(Pt 1):416-20 – reference: 18687637 - N Engl J Med. 2008 Aug 7;359(6):563-74 – reference: 21252053 - J Am Med Inform Assoc. 2011 Mar-Apr;18(2):150-5 – reference: 20190053 - J Am Med Inform Assoc. 2010 Mar-Apr;17(2):124-30 – reference: 21346975 - AMIA Annu Symp Proc. 2010;2010:232-6 |
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In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a... In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure... Background In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a... Doc number: 125 Abstract Background: In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru.... Background: In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a... BACKGROUND: In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a... Abstract Background In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study... |
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| SubjectTerms | Bar codes Checklist Computer Systems Data collection Data entry Developing countries Developing country Drug resistance Drug resistance in microorganisms Electronic Health Records Electronic medical record Electronic records Epidemiologic Studies Epidemiology Geographic Information Systems Global health Health Informatics Households Humans Information Systems Information Systems and Communication Service Internet Laboratories LDCs Management of Computing and Information Systems MDR-TB Medical records Medical research Medicine Medicine & Public Health Medicine, Experimental Multidrug-resistant tuberculosis Mycobacterium Open source software Patients Peru - epidemiology Program Development Prospective Studies Research data management Software Software utilities Tuberculosis Tuberculosis, Multidrug-Resistant - epidemiology |
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| Title | Adaptation of a web-based, open source electronic medical record system platform to support a large study of tuberculosis epidemiology |
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