Title |
Adaptation of a web-based, open source electronic medical record system platform to support a large study of tuberculosis epidemiology
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, November 2012
|
DOI | 10.1186/1472-6947-12-125 |
Pubmed ID | |
Authors |
Hamish SF Fraser, David Thomas, Juan Tomaylla, Nadia Garcia, Leonid Lecca, Megan Murray, Mercedes C Becerra |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 50% |
United States | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
United Kingdom | 3 | 2% |
Indonesia | 1 | <1% |
South Africa | 1 | <1% |
Brazil | 1 | <1% |
Pakistan | 1 | <1% |
Belgium | 1 | <1% |
Ukraine | 1 | <1% |
Japan | 1 | <1% |
Other | 1 | <1% |
Unknown | 153 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 35 | 21% |
Researcher | 30 | 18% |
Student > Postgraduate | 21 | 13% |
Student > Bachelor | 17 | 10% |
Student > Ph. D. Student | 11 | 7% |
Other | 33 | 20% |
Unknown | 21 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 49 | 29% |
Computer Science | 35 | 21% |
Social Sciences | 11 | 7% |
Nursing and Health Professions | 8 | 5% |
Agricultural and Biological Sciences | 6 | 4% |
Other | 27 | 16% |
Unknown | 32 | 19% |