ReviewAnesthesiology clinics2011
Using real-time clinical decision support to improve performance on perioperative quality and process measures.
Review in Anesthesiology clinics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of near real-time and point-of-care clinical decision support in anesthesia information management systems.Journal of clinical monitoring and computing · 2017Pooled it
- A real-time rapid cycle process improvement tool for accelerated quality improvement in coronary artery bypass grafting surgery.JTCVS open · 2025Article
- Emerging Technology and the Future of Perioperative Care: Perspectives and Recommendations From the 2023 Stoelting Conference of the Anesthesia Patient Safety Foundation.Anesthesia and analgesia · 2025Review
- A Comparison of Surgeon Estimated Times and Actual Operative Times in Pediatric Dental Rehabilitation under General Anesthesia. A Retrospective Study.Journal of clinical medicine · 2023Article
- SAP BusinessObjects in Medical Informatics.Cureus · 2023Article
- Opal: an implementation science tool for machine learning clinical decision support in anesthesia.Journal of clinical monitoring and computing · 2022Article
- Subcategorizing EHR diagnosis codes to improve clinical application of machine learning models.International journal of medical informatics · 2021Article
- Exploring patient perspectives on telemedicine monitoring within the operating room.International journal of medical informatics · 2021Article
- Effects of patients' hospital discharge preferences on uptake of clinical decision support.PloS one · 2021Article
- An Electronic Medical Record-Derived Individualized Performance Metric to Measure Risk-Adjusted Adherence with Perioperative Prophylactic Bundles for Health Care Disparity Research and Implementation Science.Applied clinical informatics · 2020Article
- Perioperative and ICU Healthcare Analytics within a Veterans Integrated System Network: a Qualitative Gap Analysis.Journal of medical systems · 2017Article
- Documentation and Treatment of Intraoperative Hypotension: Electronic Anesthesia Records versus Paper Anesthesia Records.Journal of medical systems · 2017Article
- Development and Feasibility of a Real-Time Clinical Decision Support System for Traumatic Brain Injury Anesthesia Care.Applied clinical informatics · 2017Article
- Paper or plastic? Simulation based evaluation of two versions of a cognitive aid for managing pediatric peri-operative critical events by anesthesia trainees: evaluation of the society for pediatric anesthesia emergency checklist.Journal of clinical monitoring and computing · 2016Article
- Intraoperative blood glucose management: impact of a real-time decision support system on adherence to institutional protocol.Journal of clinical monitoring and computing · 2016Article
- A review of analytics and clinical informatics in health care.Journal of medical systems · 2014Review
- Innovation & market consolidation among electronic health record vendors: an acute need for regulation.Journal of medical systems · 2014Article
- How to improve the performance of intraoperative risk models: an example with vital signs using the surgical apgar score.Anesthesia and analgesia · 2013Article
- Near real-time notification of gaps in cuff blood pressure recordings for improved patient monitoring.Journal of clinical monitoring and computing · 2013Article
- Toward increased autonomy in the surgical OR: needs, requests, and expectations.Surgical endoscopy · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Anesthesia information management systems (AIMS) are becoming more commonplace in operating rooms across the world and have the potential to help clinicians measure and improve perioperative quality. However, to realize the full potential of AIMS, clinicians must first understand their capabilities and limitations. This article reviews the literature on AIMS, focusing on areas where AIMS have been shown to have a meaningful impact on quality, safety, and operational efficiency.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.