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<p>This study presents a four-step methodology to analyze and improve the provision of high-complexity healthcare services (HCHS) at national level: (i) data analysis and identification of municipalities with a concentration of HCHS provision, referred to as supplier municipalities; (ii) measurement of accessibility to supplier municipalities; (iii) identification of new facility locations through optimization techniques; and (iv) determination of the level of service provision required at the new locations. The proposed methodology is applied to the case of Colombia, where 65.25% of deaths occur in medical facilities. An analysis of the national database shows that in supplier municipalities, 92.8% of residents die in the same municipality, whereas in other municipalities this proportion decreases to 55.2%, indicating travel patterns among critically ill patients to supplier municipalities. Optimization methods are then used to identify locations for new HCHS facilities; the addition of 10 new locations improves coverage for 3,842,920 inhabitants within a 120&#xa0;km range of HCHS.</p>

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Evidence-Based Planning of High-Complexity Healthcare Networks at National Level: Integrating Mortality Records, Accessibility Metrics, and Facility Location Optimization Models

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月15日

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  • Nicolas Rincon-Garcia,
  • Santiago Aguirre,
  • Rafael Guillermo García-Cáceres

摘要

This study presents a four-step methodology to analyze and improve the provision of high-complexity healthcare services (HCHS) at national level: (i) data analysis and identification of municipalities with a concentration of HCHS provision, referred to as supplier municipalities; (ii) measurement of accessibility to supplier municipalities; (iii) identification of new facility locations through optimization techniques; and (iv) determination of the level of service provision required at the new locations. The proposed methodology is applied to the case of Colombia, where 65.25% of deaths occur in medical facilities. An analysis of the national database shows that in supplier municipalities, 92.8% of residents die in the same municipality, whereas in other municipalities this proportion decreases to 55.2%, indicating travel patterns among critically ill patients to supplier municipalities. Optimization methods are then used to identify locations for new HCHS facilities; the addition of 10 new locations improves coverage for 3,842,920 inhabitants within a 120 km range of HCHS.