<p>This exploratory study investigates Non-Emergency Medical Transportation (NEMT) as a crucial aspect of healthcare logistics in the United States, using Maine as a case study. It also analyzes the flexibility of NEMT systems in adapting to policy changes, financial constraints, and technological innovations, underscoring their capacity to respond to evolving healthcare demands. NEMT tackles transportation barriers faced by underserved groups, including Medicaid recipients and rural residents, thereby enabling access to essential healthcare services. Despite its potential to improve health outcomes and reduce disparities, systemic inefficiencies, financial constraints, and inadequate stakeholder collaboration impede its effectiveness. The research employs a qualitative methodology, consisting of interviews with 35 stakeholders representing healthcare providers, policymakers, and logistics experts in Maine, along with a review of secondary data. Preliminary findings from this exploratory study indicate potential logistical inefficiencies in Maine’s NEMT system, including challenges in service coverage and coordination, which seem to be complicated by financial sustainability issues and limited integration with broader healthcare systems. Stakeholders highlight opportunities for innovation, such as utilizing rideshare-based models and digital tools to enhance service delivery and cost-effectiveness. The study emphasizes the importance of integrating NEMT into comprehensive healthcare logistics systems, fostering stakeholder collaboration, and adopting data-driven approaches to enhance accessibility and efficiency. Insights from international practices suggest that robust technological adoption and policy alignment could further strengthen NEMT’s role in bridging healthcare access gaps. Future research should focus on evaluating key performance indicators, exploring scalable funding models, and addressing the unique needs of vulnerable populations.</p>

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Examining Non-emergency Medical Transportation in Maine: Challenges and Opportunities in Healthcare Logistics

  • Jeffrey Sedlack,
  • Ammar Aamer

摘要

This exploratory study investigates Non-Emergency Medical Transportation (NEMT) as a crucial aspect of healthcare logistics in the United States, using Maine as a case study. It also analyzes the flexibility of NEMT systems in adapting to policy changes, financial constraints, and technological innovations, underscoring their capacity to respond to evolving healthcare demands. NEMT tackles transportation barriers faced by underserved groups, including Medicaid recipients and rural residents, thereby enabling access to essential healthcare services. Despite its potential to improve health outcomes and reduce disparities, systemic inefficiencies, financial constraints, and inadequate stakeholder collaboration impede its effectiveness. The research employs a qualitative methodology, consisting of interviews with 35 stakeholders representing healthcare providers, policymakers, and logistics experts in Maine, along with a review of secondary data. Preliminary findings from this exploratory study indicate potential logistical inefficiencies in Maine’s NEMT system, including challenges in service coverage and coordination, which seem to be complicated by financial sustainability issues and limited integration with broader healthcare systems. Stakeholders highlight opportunities for innovation, such as utilizing rideshare-based models and digital tools to enhance service delivery and cost-effectiveness. The study emphasizes the importance of integrating NEMT into comprehensive healthcare logistics systems, fostering stakeholder collaboration, and adopting data-driven approaches to enhance accessibility and efficiency. Insights from international practices suggest that robust technological adoption and policy alignment could further strengthen NEMT’s role in bridging healthcare access gaps. Future research should focus on evaluating key performance indicators, exploring scalable funding models, and addressing the unique needs of vulnerable populations.