The Burnout PRedictiOn Using Wearable aNd ArtIficial IntelligEnce (BROWNIE) study: a decentralized digital health protocol to predict burnout in registered nurses

• 主要な著者: Angelina R. Wilton (著者), Katharine Sheffield (著者), Quantia Wilkes (著者), Sherry Chesak (著者), Joel Pacyna (著者), Richard Sharp (著者), Paul E. Croarkin (著者), Mohit Chauhan (著者), Liselotte N. Dyrbye (著者), William V. Bobo (著者), Arjun P. Athreya (著者)
• フォーマット: 図書
• 出版事項: BMC, 2024-02-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Abstract Background When job demand exceeds job resources, burnout occurs. Burnout in healthcare workers extends beyond negatively affecting their functioning and physical and mental health; it also has been associated with poor medical outcomes for patients. Data-driven technology holds promise for...