Joana Seringa

Employment

• Universidade Nova de Lisboa Escola Nacional de Saúde Pública Researcher
  2023 - Present
• Lean Health Portugal Project Manager
  2022 - 2023
• Centro Hospitalar Universitário de Lisboa Central, EPE Manager
  2019 - 2022
• Hospital Beatriz Ângelo Assistant Manager
  2018 - 2019
• Centro Hospitalar Universitário de Lisboa Central, EPE Nurse
  2016 - 2018

Education

• Universidade NOVA de Lisboa Escola Nacional de Saúde Pública Post-Graduation in Project Management
  2023 - 2023
• Universidade NOVA de Lisboa Faculdade de Ciências e Tecnologia Post-graduation in Artificial Intelligence
  2022 - 2022
• Universidade NOVA de Lisboa Escola Nacional de Saúde Pública Post-graduation in Digital Health
  2022 - 2022
• Universidade NOVA de Lisboa Escola Nacional de Saúde Pública PhD in Public Health
  2020 - 2026
• Universidade de Lisboa Instituto Superior de Economia e Gestão Post-Graduation in Management Control & Corporate Finance
  2018 - 2019
• Universidade NOVA de Lisboa Escola Nacional de Saúde Pública Master's Degree in Healthcare Management
  2016 - 2018
• Escola Superior de Enfermagem de Lisboa Graduate Degree in Nursing
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (30)

• Development, Content Validation, and Pilot Testing of a Digital Maturity Assessment Questionnaire for Integrated Healthcare Systems (Preprint)
  2026 DOI: 10.2196/preprints.102781
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• Digital Maturity in Integrated Care Systems: Development strategies – A Scoping Review (Preprint)
  2026 DOI: 10.2196/preprints.103869
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• International Consensus Framework for Ethical Integration of Patient-Reported Outcomes and Digital Biomarkers in AI Healthcare Systems (Preprint)
  2025 DOI: 10.2196/preprints.82925
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• Facilitators, barriers, and recommendations for the implementation of a digital-based case management program: the perspective of Portuguese stakeholders
  BMC Health Services Research 2025 DOI: 10.1186/s12913-025-12445-x
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• Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review
  BMJ Open 2025 DOI: 10.1136/bmjopen-2024-093495
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• Health Care Professionals and Data Scientists’ Perspectives on a Machine Learning System to Anticipate and Manage the Risk of Decompensation From Patients With Heart Failure: Qualitative Interview Study
  Journal of Medical Internet Research 2025 DOI: 10.2196/54990
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• Translation and psychometric validation of the Heart Failure Symptom Tracker (HFaST)
  BMC Cardiovascular Disorders 2024 DOI: 10.1186/s12872-024-04424-7
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• Use of Artificial Intelligence tools in supporting decision-making in hospital management
  BMC Health Services Research 2024 DOI: 10.1186/s12913-024-11602-y
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• Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review protocol
  BMJ Open 2024 DOI: 10.1136/bmjopen-2023-083188
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• Health professionals' perception of the use of speech recognition technology in healthcare: a qualitative study (Preprint)
  2024 DOI: 10.2196/preprints.57194
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