Automated dynamic sepsis surveillance with routine data

• Verfasst von: Lindner, Holger A. [VerfasserIn]
• Verfasst von: Thiel, Manfred [VerfasserIn]
• Verfasst von: Schneider-Lindner, Verena [VerfasserIn]
• Titel: Automated dynamic sepsis surveillance with routine data
• Titelzusatz: opportunities and challenges
• Verf.angabe: Holger A. Lindner, Manfred Thiel, Verena Schneider-Lindner
• E-Jahr: 2017
• Jahr: [2017]
• Umfang: 3 S.
• Fussnoten: Gesehen am 08.10.2018
• Titel Quelle: Enthalten in: Annals of translational medicine
• Ort Quelle: Shatin, NT : AME Publishing Company, 2013
• Jahr Quelle: 2017
• Band/Heft Quelle: 5(2017,3) Artikel-Nummer 66, 3 Seiten
• ISSN Quelle: 2305-5847
• DOI: doi:10.21037/atm.2017.01.29
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1581641869

Abstract

Clinicians face an ever-increasing workload due to rising medical complexity of their patients, particularly in the intensive care unit (ICU). Difficulty in keeping abreast of the current clinical situation of critically ill patients with strongly fluctuating health state is augmented by abundance of information from vital signs, laboratory tests, and imaging studies. Rising pressure also comes from cost constraints and performance measurement. Advances in health information technology drive standards and demands, in turn, adding to the pressure. At the same time, mining of medical information in critical care still holds great potential in supporting clinical decision making.