{
  "abstract": "Background Climate change has intensified the frequency and intensity of wildfires, contributing to significant health risks, especially for patients with respiratory conditions. Wildfire smoke contains fine particulate matter that exacerbates Chronic Obstructive Pulmonary Disease (COPD) and asthma, increasing emergency visits and hospitalizations. Our health system recognized the need for proactive intervention using a data-driven, population health strategy to mitigate these risks.Objectives Identify at-risk patients during wildfire events using clinical and environmental data. Deliver timely, tailored health education to prevent avoidable respiratory complications.Methods A multidisciplinary team developed an alert system based on electronic health and environmental data. Patients with COPD or asthma, living near wildfires and in high Air Quality Index (AQI) zones, received alerts via a secure portal. Messages included health tips, do it yourself (DIY) air filter guidance, and emergency readiness resources.Results Since 2023, the system has triggered 356 wildfire poor air quality alerts. Patient feedback indicates greater awareness and preparedness.Conclusion and Implications This model demonstrates how health systems can leverage real-time data to protect vulnerable populations from environmental hazards, supporting better outcomes and system resilience in the face of climate change.",
  "authors": [
    {
      "affiliations": [
        "UC Davis Health"
      ],
      "name": "Brooks Kuhn"
    },
    {
      "affiliations": [
        "UC Davis Health"
      ],
      "name": "Reshma Gupta"
    },
    {
      "affiliations": [
        "UC Davis Health"
      ],
      "name": "Krystal Craddock"
    },
    {
      "affiliations": [
        "UC Davis Health"
      ],
      "name": "Wen-Hsin Fan"
    }
  ],
  "title": "24 Mitigating wildfire health impacts through data-driven strategies and population health approach",
  "uid": "9dbf91a2-7684-5cbe-8ba7-c966ce52aa63"
}
