Detecting TB with eDetection
Origin language: English
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
N/A
Recommendations
N/A
Recommendations
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Any additional questions?
iDHA (Project ID)
0sadfi
Project links
N/AOrigin of information
N/A
Data source link
N/AAdded to the platform on
2024-11-11
Project editors
Last update by
Mirana Michelle on 2024-11-11
Number of views
10
WHO classifications




