ArticleIntensive care medicine2011
Impact of a computer-generated alert system on the quality of tight glycemic control.
Article in Intensive care medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 6 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 6 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- The influence of electronic AKI alert on prognosis of adult hospitalized patients: a systematic review and meta-analysis.Critical care (London, England) · 2025Pooled it
- Effect of electronic records on mortality among patients in hospital and primary healthcare settings: a systematic review and meta-analyses.Frontiers in digital health · 2024Pooled it
- Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Association between e-alert implementation for detection of acute kidney injury and outcomes: a systematic review.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017Pooled it
- Nutrition Informatics Applications in Clinical Practice: a Systematic Review.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Pooled it
- Systematic review of clinical decision support interventions with potential for inpatient cost reduction.BMC medical informatics and decision making · 2013Pooled it
- Electronic alerts for triage protocol compliance among emergency department triage nurses: a randomized controlled trial.Nursing researchTrial
- Nursing informatics and patient safety outcomes in critical care settings: a systematic review.BMC nursing · 2025Article
- Clinical Decision Support for Glycemic Management Reduces Hospital Length of Stay.Diabetes care · 2022Article
- Stakeholder Perspectives on an Inpatient Hypoglycemia Informatics Alert: Mixed Methods Study.JMIR human factors · 2021Article
- A data-driven approach to optimized medication dosing: a focus on heparin.Intensive care medicine · 2014Article
- Correlation between high blood IL-6 level, hyperglycemia, and glucose control in septic patients.Critical care (London, England) · 2012Article
- Year in review in Intensive Care Medicine 2011: I. Nephrology, epidemiology, nutrition and therapeutics, neurology, ethical and legal issues, experimentals.Intensive care medicine · 2012Article
- Intensive insulin therapy to maintain normoglycemia after cardiac surgery.HSR proceedings in intensive care & cardiovascular anesthesia · 2011Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo assess the impact of a computer-generated blood glucose (BG) alert, generated by a Patient Data Management System (PDMS) and superimposed on a paper-based guideline, on tight glycemic control (TGC) in the intensive care unit (ICU).
methodsTGC in the Leuven University Hospitals is performed by nurses using a paper-based guideline that allows anticipative, intuitive decision-making. An electronic alert was implemented on 1 August 2007 in which a pop-up appears in the PDMS at the following BG thresholds: >180, >110, 60-80, 40-60 and <40 mg/dl. The impact of this electronic alert was assessed by a sequential cohort study: the mean BG, the glycemic penalty index (GPI), the hyperglycemic index (HGI), the number of hypoglycemic events, the standard deviation (SD) of the BG time series and the number of BG measurements were compared in all adults admitted 6 months before ('pre-alert group', n = 729) and after ('alert group', n = 644) the implementation of the electronic alert.
resultsThe alert resulted in a reduction of mean BG (112 vs. 110 mg/dl, p = 0.002), GPI (20 vs. 19, p = 0.029) and HGI (10 vs. 9 mg/dl, p = 0.004), without increasing BG sampling (median 25 measurements/patient in both groups, p = 0.776). The alert reduced the proportion of patients experiencing an episode of hypoglycemia from 6.5 to 4.0% (p = 0.043). The SD of the BG time series was not affected (28 mg/dl in both groups, p = 0.566).
conclusionA computer-generated alert was able to statistically significantly improve the quality of TGC in ICU patients without increasing the need for blood sampling.
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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.