Managing Clinical Data in Neurocritical Care

Abstract

AbstractIntensive Care Medicine (ICM) is the practice and system for treating and supporting critically ill patients to achieve the best possible clinical outcomes. Neuro-Critical Care (NCC) is the branch of ICM that addresses the special medical and technical challenges of managing patients with critical illnesses of the brain and central nervous system. NCC requires (a) timely and accurate monitoring/capture of clinical signals and data that are unique to the brain and (b) effective and efficient transformation of incoming data into meaningful knowledge for timely clinical decisions and response. Multimodality Monitoring (MMM) is the collective technology for seamlessly connecting and integrating multiple types and sources of incoming data (modes) from devices to clinical output. MMM forms the cornerstone and basis for design and implementation of NCC and other units dedicated to critical care.The Johns Hopkins Hospital (JHH) NCC Unit (NCCU) has established an extensible NCC multimodality ecosystem since 2018 for managing input modes and output functionality for clinical, administrative, population health and research. This multimodality management approach has demonstrated utility and value through expansion to all ICUs and operating rooms at JHH, as well as for facilitating remote access for the care of COVID-19 patients in 2020.KeywordsNeurocritical careMultimodality neuromonitoringNeurocritical care unitBig dataData integration