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Detecting TB with eDetection

Origin language: English
Cover image
Target population
N/A
Beneficiaries1001 - 3000
EvidenceN/A
Start date2010/11
End dateN/A
StageN/A
Country
India
Coverage
National
Nb of implementation sites
250
Lead organization
Implementation partners
N/A

Health Focus Area
Communicable diseases
Services
Public health and disease surveillance
Electronic medical record
Enabling technologies
N/A
Standards
N/A
Tools
N/A
Funding sources
N/A
Business model
N/A
Funders
Summary
eDetection is a decision-based algorithm designed to analyze patients' questionnaire responses to identify potential tuberculosis (TB) cases for testing. This diagnostic tool is tailored for disadvantaged communities with high illiteracy rates, featuring a simple and straightforward process. The technology is accessible through 3G downloads for ease of use. Patient responses are systematically archived and transmitted to a central server during the app's syncing process, focusing on communicable diseases.
Keywords
DHA
Publications
Insights - Lessons learnt
Challenges
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Recommendations
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Recommendations
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Any additional questions?
iDHA (Project ID)
0sadfi
Project links
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Origin of information
N/A
Data source link
N/A
Added to the platform on
2024-11-11
Project editors
Last update by
Mirana Michelle on 2024-11-11
Number of views
10
WHO classifications
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