{
  "abstract": "Introduction Emergency departments are facing increasing strain due to overcrowding and resource shortages, leading to the suspension of some services. Stratifying the clinical risk—defined as the severity and likelihood of harm—is crucial for anticipating care needs and supporting decision-making. Implementing predictive models for clinical risk management offers a technological solution to this challenge. This systematic review will evaluate the performance and usefulness of a predictive model for managing the clinical risk of people who visit the emergency department.Methods and analysis Eight electronic databases will be searched (CINAHL Plus, Health Technology Assessment Database, MedicLatina, MEDLINE, PubMed, Scopus, Cochrane Plus Collection, Web of Science). Risk of bias will be assessed using the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies and Prediction Model Risk of Bias Assessment Tool.Ethics and dissemination Ethical approval is not required. Results will be disseminated through peer-reviewed publications.PROSPERO registration number CRD42024556926.",
  "authors": [
    {
      "affiliations": [
        "Comprehensive Health Research Centre, Universidade de Évora, Palácio dos Colegiais 2, 7004-516, Évora, Portugal",
        "Serviço de Urgência Médico-Cirúrgico, Departamento de Urgência e Emergência, Unidade Local de Saúde do Litoral Alentejano, EPE, Monte do Gilbardinho, 7540-230, Santiago do Cacém, Setúbal, Portugal"
      ],
      "name": "Maria João Baptista Rente"
    },
    {
      "affiliations": [
        "Comprehensive Health Research Centre, Universidade de Évora, Palácio dos Colegiais 2, 7004-516, Évora, Portugal",
        "Enfermagem, Escola Superior de Saúde de Santarém, Instituto Politécnico de Santarém, Quinta do Mergulhão, Srª da Guia, 2005-075, Santarém, Portugal"
      ],
      "name": "Ana Lúcia da Silva João"
    },
    {
      "affiliations": [
        "Comprehensive Health Research Centre, Universidade de Évora, Palácio dos Colegiais 2, 7004-516, Évora, Portugal"
      ],
      "name": "David José Murteira Mendes"
    },
    {
      "affiliations": [
        "Conselho Técnico-Científico, Escola Superior de Saúde Norte da Cruz Vermelha Portuguesa, Rua da Cruz Vermelha Cidacos—Apartado 1002, 3720-126, Oliveira de Azeméis, Aveiro, Portugal",
        "LT3 - Ciência de Dados, de Decisão & Tecnologias de Informação, Tech4edusim—Technologies for Education and Simulation in Healthcare, CINTESIS: Centro de Investigação em Tecnologias e Serviços de Saúde, Escola Superior de Enfermagem do Porto, Rua Dr. António Bernardino de Almeida, 830, 844, 856, 4200-072, Porto, Portugal"
      ],
      "name": "Liliana Andreia Neves da Mota"
    }
  ],
  "title": "Predictive model for managing the clinical risk of emergency department patients: protocol for a systematic review",
  "uid": "2f1bcf33-3917-51ea-8b0b-8272349138f1"
}