Enhancing Death Registration Through Electronic Medical Record Integration in Zambia: Linking the National Registration Information System with SmartCare to Strengthen Mortality Data for Public Health Decision-Making
1
Data for Health Initiative, CDC Foundation, Atlanta, United States
2
Surveillance and Disease Intelligence, Zambia National Public Health Institute, Lusaka, Zambia
Popul. Med. 2026;8(Supplement Supplement 1):
ABSTRACT
INTRODUCTION:
Timely and accurate mortality data are foundational to effective public health planning, disease surveillance, and resource allocation. In Zambia, fragmented information flows between civil registration systems and health sectors records, combined with paper-based notification processes, have historically resulted in delayed, incomplete, and underutilized mortality data. These gaps have constrained timely responses to high-burden conditions including HIV, malaria, tuberculosis cholera, maternal mortality and emerging public health threats.
METHODS:
Zambia implemented a national digital mortality integration framework linking the Integrated National Registration Information System (INRIS) with SmartCare, the national electronic medical records system, and consolidating mortality data within a centralized national data warehouse. The intervention included deployment of electronic death notification workflows within health facilities, development of a standardized mortality data model, and establishment of a scalable national integration architecture to enable secure, near-real-time data exchange between systems. Sustained stakeholder engagement supported governance, alignment and adoption. In parallel, an electronic medical certification of cause of death (e-MCCD) module was developed within SmartCare and is currently under validation.
RESULTS:
System integration reduced death reporting delays by 88%, decreasing the average time from death occurrence to registration from 60 days to 7 days. Civil registration service coverage expanded to 81 of 116 districts, reaching approximately 83% of the population. Implementation of a real-time mortality surveillance dashboard improved data accessibility, workflow efficiency, and system performance monitoring, strengthening the routine use of mortality data for public health decision-making.
CONCLUSIONS:
Integrating civil registration with electronic medical records substantially improved the timeliness, completeness, and usability of mortality data in Zambia. This digital health approach demonstrates how interoperable health information systems can strengthen CRVS performance and support data-driven public health action. Continued scale-up, and e-MCCD validation will be critical to sustaining impact and enabling cause specific mortality analysis and future artificial intelligence enabled surveillance.
Timely and accurate mortality data are foundational to effective public health planning, disease surveillance, and resource allocation. In Zambia, fragmented information flows between civil registration systems and health sectors records, combined with paper-based notification processes, have historically resulted in delayed, incomplete, and underutilized mortality data. These gaps have constrained timely responses to high-burden conditions including HIV, malaria, tuberculosis cholera, maternal mortality and emerging public health threats.
METHODS:
Zambia implemented a national digital mortality integration framework linking the Integrated National Registration Information System (INRIS) with SmartCare, the national electronic medical records system, and consolidating mortality data within a centralized national data warehouse. The intervention included deployment of electronic death notification workflows within health facilities, development of a standardized mortality data model, and establishment of a scalable national integration architecture to enable secure, near-real-time data exchange between systems. Sustained stakeholder engagement supported governance, alignment and adoption. In parallel, an electronic medical certification of cause of death (e-MCCD) module was developed within SmartCare and is currently under validation.
RESULTS:
System integration reduced death reporting delays by 88%, decreasing the average time from death occurrence to registration from 60 days to 7 days. Civil registration service coverage expanded to 81 of 116 districts, reaching approximately 83% of the population. Implementation of a real-time mortality surveillance dashboard improved data accessibility, workflow efficiency, and system performance monitoring, strengthening the routine use of mortality data for public health decision-making.
CONCLUSIONS:
Integrating civil registration with electronic medical records substantially improved the timeliness, completeness, and usability of mortality data in Zambia. This digital health approach demonstrates how interoperable health information systems can strengthen CRVS performance and support data-driven public health action. Continued scale-up, and e-MCCD validation will be critical to sustaining impact and enabling cause specific mortality analysis and future artificial intelligence enabled surveillance.
| eISSN: | 2654-1459 |
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