Improving Case Tracking and Coordination Across Agencies Using Data Integration

@article{1705282,
      author = {Oluwafunmilayo Somoye, Valentina Ijeoma Akpa},
      title = {Improving Case Tracking and Coordination Across Agencies Using Data Integration},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {6},
      pages = {484-486},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705282.pdf},
      abstract = {Effective case tracking and coordination across social service agencies are essential for delivering comprehensive support to immigrant populations. Immigrants often navigate complex systems to access critical services such as legal aid, healthcare, housing assistance, and social welfare. These services are typically managed by different agencies, each with its own data systems, policies, and communication protocols (Oliver et al., 2012). The fragmented nature of these systems poses significant challenges to seamless service delivery, often resulting in duplicated efforts, gaps in care, and delayed access to essential resources. For vulnerable immigrant populations, especially those seeking asylum or facing deportation, inefficiencies in case tracking can have severe consequences on their well-being and legal outcomes. Therefore, fostering collaboration among agencies through effective case tracking mechanisms is vital to ensuring equitable and timely service delivery (Biswas et al., 2012). Data integration offers a transformative approach to improving inter-agency collaboration by consolidating information from disparate systems into a unified framework. Through data integration, agencies can access shared databases, automate information exchanges, and coordinate service delivery more efficiently.},
      month = {December},
  }