Leveraging Public Health Informatics to Strengthen Monitoring and Evaluation of Global Health Interventions

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@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},
  }