Framework for Leveraging Health Information Systems in Addressing Substance Abuse Among Underserved Populations

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@article{1709253,
      author = {Damilola Oluyemi Merotiwon, Opeyemi Olamide Akintimehin, Opeoluwa Oluwanifemi Akomolafe},
      title = {Framework for Leveraging Health Information Systems in Addressing Substance Abuse Among Underserved Populations},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {4},
      number = {2},
      pages = {212-226},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709253.pdf},
      abstract = {The burden of substance abuse continues to strain global public health systems, with underserved populations facing disproportionate challenges due to social, economic, and infrastructural disparities. Despite advances in health information technologies, these groups often remain marginalized in substance abuse surveillance, intervention, and treatment programs. This paper proposes a comprehensive framework for leveraging health information systems (HIS) to address substance abuse among underserved populations. The framework is grounded in a literature-based synthesis of existing HIS capabilities, barriers to adoption, and contextual needs of underserved groups. Integrating electronic health records (EHRs), telemedicine, mobile health (mHealth), and predictive analytics, the model offers a unified platform for real-time monitoring, targeted intervention, and equitable resource distribution. Drawing upon over 100 peer-reviewed publications and health policy reports from 2000?2020, the framework emphasizes interoperability, community-based data inputs, culturally adaptive interfaces, and privacy-centric design. The study highlights policy, infrastructural, and technical recommendations for governments, health IT developers, and care providers seeking to deploy HIS for combating substance abuse. This research contributes to the discourse on digital health equity by establishing a roadmap for inclusive, data-driven intervention models in marginalized communities.},
      keywords = {health information systems, substance abuse, underserved populations, electronic health records, digital health equity, telemedicine integration},
      month = {August},
  }