Home / Current Issue / Paper 1710078
Leveraging Public Health Informatics to Strengthen Monitoring and Evaluation of Global Health Interventions
Subject area: Science,Engineering and Technology · Area of research: Leveraging
Abstract
Monitoring and evaluation (M&E) are pivotal in ensuring the effectiveness, accountability, and sustainability of global health interventions. However, traditional M&E approaches often struggle with data fragmentation, delayed reporting, and limited analytical capacity, particularly in low- and middle-income countries (LMICs). Public Health Informatics (PHI), defined as the systematic application of information technology and data science in public health practice, offers transformative opportunities to enhance M&E frameworks. By integrating Electronic Health Records (EHRs), Health Information Systems (HIS), mobile health (mHealth) platforms, and geospatial information systems (GIS), PHI enables real-time data capture, seamless interoperability, and granular visibility into program performance. Advanced data analytics, including predictive modeling and machine learning, further strengthen the capacity to forecast intervention outcomes, identify high-risk populations, and inform adaptive program management. Visual dashboards and automated feedback loops facilitate timely decision-making, fostering a culture of data-driven performance improvement. Moreover, PHI supports the harmonization of routine health data with program-specific metrics, enabling more comprehensive and accurate impact evaluations. Despite its potential, leveraging PHI for M&E faces challenges such as infrastructure limitations, data governance complexities, and workforce capacity gaps. Addressing these barriers requires strategic investments in digital infrastructure, workforce training, and cross-sector collaborations that prioritize ethical data use and sustainability. Emerging technologies like artificial intelligence (AI) and blockchain offer additional avenues to enhance data integrity, transparency, and automation in M&E processes. Embedding Public Health Informatics into M&E frameworks represents a critical pathway to optimizing the design, implementation, and evaluation of global health interventions. Institutionalizing informatics-driven M&E practices can significantly improve program accountability, resource allocation, and ultimately, health outcomes across diverse populations.
Keywords
Leveraging, Public health informatics, Strengthen monitoring, Evaluation, Global health interventions
How to cite this paper
@article{1710078,
author = {Olaitan Kemi Atobatele, Opeoluwa Oluwanifemi Ajayi, Akonasu Qudus Hungbo, Christiana Adeyemi},
title = {Leveraging Public Health Informatics to Strengthen Monitoring and Evaluation of Global Health Interventions},
journal = {Iconic Research And Engineering Journals},
year = {2019},
volume = {3},
number = {4},
pages = {350-369},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1710078.pdf},
abstract = {Monitoring and evaluation (M&E) are pivotal in ensuring the effectiveness, accountability, and sustainability of global health interventions. However, traditional M&E approaches often struggle with data fragmentation, delayed reporting, and limited analytical capacity, particularly in low- and middle-income countries (LMICs). Public Health Informatics (PHI), defined as the systematic application of information technology and data science in public health practice, offers transformative opportunities to enhance M&E frameworks. By integrating Electronic Health Records (EHRs), Health Information Systems (HIS), mobile health (mHealth) platforms, and geospatial information systems (GIS), PHI enables real-time data capture, seamless interoperability, and granular visibility into program performance. Advanced data analytics, including predictive modeling and machine learning, further strengthen the capacity to forecast intervention outcomes, identify high-risk populations, and inform adaptive program management. Visual dashboards and automated feedback loops facilitate timely decision-making, fostering a culture of data-driven performance improvement. Moreover, PHI supports the harmonization of routine health data with program-specific metrics, enabling more comprehensive and accurate impact evaluations. Despite its potential, leveraging PHI for M&E faces challenges such as infrastructure limitations, data governance complexities, and workforce capacity gaps. Addressing these barriers requires strategic investments in digital infrastructure, workforce training, and cross-sector collaborations that prioritize ethical data use and sustainability. Emerging technologies like artificial intelligence (AI) and blockchain offer additional avenues to enhance data integrity, transparency, and automation in M&E processes. Embedding Public Health Informatics into M&E frameworks represents a critical pathway to optimizing the design, implementation, and evaluation of global health interventions. Institutionalizing informatics-driven M&E practices can significantly improve program accountability, resource allocation, and ultimately, health outcomes across diverse populations.},
keywords = {Leveraging, Public health informatics, Strengthen monitoring, Evaluation, Global health interventions},
month = {October},
}