Seasonal burden of severe influenza virus infection in the critically ill patients, using the Assistance Publique-Hôpitaux de Paris clinical data warehouse: a pilot study.
Muriel FartoukhGuillaume VoiriotLaurent GuérinJean Damien RicardAlain CombesMorgane FaureSarah BenghanemEtienne de MontmollinYacine Tandjaoui-LambiotteAntoine Vieillard-BaronEric MauryJean-Luc DiehlKeyvan RazaziVirginie LemialePierre TrouillerBenjamin PlanquetteLaurent SavaleNicholas HemingJonathan Mareynull nullFabrice CarratNathanael Lapidusnull nullPublished in: Annals of intensive care (2021)
Data directly extracted from the electronic medical records stored in the data warehouse provide detailed clinical, care pathway and prognosis information. The real-time availability should enable to detect and assess the burden of the most severe cases. By a firmer and more acute monitoring and adjustment of care and patient management, hospitals could generate more ICU/ICW capacities, sensitize their emergency department and contribute to the recommendations from health authorities. This pilot study is of particular relevance in the context of emerging epidemics of severe acute respiratory diseases.
Keyphrases
- healthcare
- emergency department
- electronic health record
- palliative care
- big data
- quality improvement
- public health
- drug induced
- intensive care unit
- mental health
- health information
- pain management
- data analysis
- climate change
- acute respiratory distress syndrome
- machine learning
- risk assessment
- chronic pain
- human health
- respiratory failure
- hepatitis b virus
- respiratory tract