Literature DB >> 19372334

Improving alarm performance in the medical intensive care unit using delays and clinical context.

Matthias Görges1, Boaz A Markewitz, Dwayne R Westenskow.   

Abstract

INTRODUCTION: In an intensive care unit, alarms are used to call attention to a patient, to alert a change in the patient's physiology, or to warn of a failure in a medical device; however, up to 94% of the alarms are false. Our purpose in this study was to identify a means of reducing the number of false alarms.
METHODS: An observer recorded time-stamped information of alarms and the presence of health care team members in the patient room; each alarm response was classified as effective (action taken within 5 min), ineffective (no response to the alarm), and ignored (alarm consciously ignored or actively silenced).
RESULTS: During the 200-h study period, 1271 separate entries by an individual to the room being observed were recorded, 1214 alarms occurred and 2344 tasks were performed. On average, alarms occurred 6.07 times per hour and were active for 3.28 min per hour; 23% were effective, 36% were ineffective, and 41% were ignored. The median alarm duration was 17 s. A 14-s delay before alarm presentation would remove 50% of the ignored and ineffective alarms, and a 19-s delay would remove 67%. Suctioning, washing, repositioning, and oral care caused 152 ignored or ineffective ventilator alarms. DISCUSSION: Introducing a 19-s alarm delay and automatically detecting suctioning, repositioning, oral care, and washing could reduce the number of ineffective and ignored alarms from 934 to 274. More reliable alarms could elicit more timely response, reduce workload, reduce noise pollution, and potentially improve patient safety.

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Mesh:

Year:  2009        PMID: 19372334     DOI: 10.1213/ane.0b013e31819bdfbb

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  38 in total

1.  Reduction of clinically irrelevant alarms in patient monitoring by adaptive time delays.

Authors:  Felix Schmid; Matthias S Goepfert; Frank Franz; David Laule; Beate Reiter; Alwin E Goetz; Daniel A Reuter
Journal:  J Clin Monit Comput       Date:  2015-11-30       Impact factor: 2.502

2.  Game Theoretic Approach for Systematic Feature Selection; Application in False Alarm Detection in Intensive Care Units.

Authors:  Fatemeh Afghah; Abolfazl Razi; Reza Soroushmehr; Hamid Ghanbari; Kayvan Najarian
Journal:  Entropy (Basel)       Date:  2018-03-12       Impact factor: 2.524

3.  Association between exposure to nonactionable physiologic monitor alarms and response time in a children's hospital.

Authors:  Christopher P Bonafide; Richard Lin; Miriam Zander; Christian Sarkis Graham; Christine W Paine; Whitney Rock; Andrew Rich; Kathryn E Roberts; Margaret Fortino; Vinay M Nadkarni; A Russell Localio; Ron Keren
Journal:  J Hosp Med       Date:  2015-04-15       Impact factor: 2.960

4.  Closed loop mechanical ventilation.

Authors:  Marc Wysocki; Philippe Jouvet; Samir Jaber
Journal:  J Clin Monit Comput       Date:  2013-04-07       Impact factor: 2.502

5.  Intensive care unit nurses' information needs and recommendations for integrated displays to improve nurses' situation awareness.

Authors:  Sven H Koch; Charlene Weir; Maral Haar; Nancy Staggers; Jim Agutter; Matthias Görges; Dwayne Westenskow
Journal:  J Am Med Inform Assoc       Date:  2012-03-21       Impact factor: 4.497

6.  Anaesthesia monitoring using fuzzy logic.

Authors:  Mirza Mansoor Baig; Hamid Gholamhosseini; Abbas Kouzani; Michael J Harrison
Journal:  J Clin Monit Comput       Date:  2011-10-28       Impact factor: 2.502

7.  A framework for reducing alarm fatigue on pediatric inpatient units.

Authors:  Amogh Karnik; Christopher P Bonafide
Journal:  Hosp Pediatr       Date:  2015-03

8.  Evaluation of a wireless, portable, wearable multi-parameter vital signs monitor in hospitalized neurological and neurosurgical patients.

Authors:  Robert S Weller; Kristina L Foard; Timothy N Harwood
Journal:  J Clin Monit Comput       Date:  2017-12-06       Impact factor: 2.502

Review 9.  Connecting the dots: rule-based decision support systems in the modern EMR era.

Authors:  Vitaly Herasevich; Daryl J Kor; Arun Subramanian; Brian W Pickering
Journal:  J Clin Monit Comput       Date:  2013-02-28       Impact factor: 2.502

Review 10.  Medical audible alarms: a review.

Authors:  Judy Edworthy
Journal:  J Am Med Inform Assoc       Date:  2012-10-25       Impact factor: 4.497

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