• Bala G Nair, Eilon Gabel, Ira Hofer, Howard A Schwid, and Maxime Cannesson.
• From the *Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington; †Department of Anesthesiology and Perioperative Medicine, University of California at Los Angeles, Los Angeles, California; and ‡Department of Anesthesiology and Perioperative Care, University of California-Irvine, Irvine, California.
• Anesth. Analg. 2017 Feb 1; 124 (2): 603-617.

AbstractWith increasing adoption of anesthesia information management systems (AIMS), there is growing interest in utilizing AIMS data for intraoperative clinical decision support (CDS). CDS for anesthesia has the potential for improving quality of care, patient safety, billing, and compliance. Intraoperative CDS can range from passive and post hoc systems to active real-time systems that can detect ongoing clinical issues and deviations from best practice care. Real-time CDS holds the most promise because real-time alerts and guidance can drive provider behavior toward evidence-based standardized care during the ongoing case. In this review, we describe the different types of intraoperative CDS systems with specific emphasis on real-time systems. The technical considerations in developing and implementing real-time CDS are systematically covered. This includes the functional modules of a CDS system, development and execution of decision rules, and modalities to alert anesthesia providers concerning clinical issues. We also describe the regulatory aspects that affect development, implementation, and use of intraoperative CDS. Methods and measures to assess the effectiveness of intraoperative CDS are discussed. Last, we outline areas of future development of intraoperative CDS, particularly the possibility of providing predictive and prescriptive decision support.

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