Monitoring in Acute Care Environments: Unique Aspects of Intensive Care Units, Operating Rooms, Recovery Rooms, and Telemetry Floors



The major goal of care for patients in high-acuity settings is to correct detrimental physiologic states while avoiding, preventing, or mitigating additional insults. Achieving this goal by collecting monitor data can be problematic due to the challenges of data resolution, storage limitations, and a lack of device interoperability that all limit device integration and the automatic collection of data. Artifacts in the data collected may exist due to an absence of filters, increasing the signal-to-noise ratio. In many circumstances, artifacts lead to false positives and can create “alarm fatigue.” Artifacts also decrease the data quality needed for data-driven or model-based decision support. Ultimately, the application of bedside monitors’ real-time data through decision support engines could facilitate communication and predict, identify, diagnose, and guide the treatment of evolving medical conditions to improve outcomes and avoid suboptimal care. However, improved outcomes solely using monitoring data have proved elusive thus far.


Health Information Technology Computerize Physician Order Entry Early Warning Score Modify Early Warning Score Suboptimal Care 
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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of AnesthesiologyVanderbilt University School of MedicineNashvilleUSA

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