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The Automated Medical Waste Management System

Origin language: English
Cover image
Target population
Health professional / health structure
Beneficiaries3001 - 10K
EvidenceQuantitative evidence
Start date2025/04
End dateOngoing
StageRoutine project/operational
Country
Kyrgyzstan
Coverage
National
Nb of implementation sites
1
Lead organization
Implementation partners

Health Focus Area
Others
Services
Administrative
Others
Enabling technologies
Other
Standards
Excel
HL7 v2
JSON
Tools
Funding sources
Donors
Business model
No business model
Funders
N/A
Summary
The Automated Medical Waste Management System is a centralized digital platform designed to oversee the entire lifecycle of medical waste, from registration and tracking to reporting and disposal. This system enhances transparency and ensures compliance with sanitary and environmental regulations while reducing manual processes and facilitating data-driven management decisions. Its primary goal is to create a unified digital environment for monitoring and accounting for medical waste management, improving operational efficiency, ensuring traceability of waste flows, automating reporting, and providing support for healthcare organizations and authorities in effective planning and control. The target audience includes health professionals and healthcare structures.
Keywords
Health facilities
Data collecting and reporting tool
Primary care health workers
Automation
Cycle tracker
Publications
Insights - Lessons learnt
Challenges

The implementation of the system required overcoming challenges related to different levels of digital readiness among healthcare facilities, transition from paper-based processes to electronic workflows, ensuring data quality and standardization, as well as coordinating multiple stakeholders involved in medical waste management processes.

Recommendations

The successful implementation was supported by a stakeholder-oriented approach, standardization of business processes, phased deployment, user training, continuous feedback collection, and development of scalable solutions that allow further expansion and integration with other healthcare information systems.

Recommendations
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Any additional questions?
iDHA (Project ID)
j39ijz
Project links
https://umo.med.kg/sign-in
Origin of information
Project stakeholder
Data source link
N/A
Added to the platform on
2026-07-14
Project editors
Last update by
Albina Salbaeva on 2026-07-14
Number of views
8
WHO classifications
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