دورية أكاديمية
أعرض في EDS

Avatar-based patient monitoring improves information transfer, diagnostic confidence and reduces perceived workload in intensive care units: computer-based, multicentre comparison study.

التفاصيل البيبلوغرافية
العنوان: Avatar-based patient monitoring improves information transfer, diagnostic confidence and reduces perceived workload in intensive care units: computer-based, multicentre comparison study.
المؤلفون: Bergauer L; Institute of Anaesthesiology, University of Zurich and University Hospital Zurich, Zurich, Switzerland., Braun J; Department of Epidemiology and Biostatistics, University of Zurich, Zurich, Switzerland., Roche TR; Institute of Anaesthesiology, University of Zurich and University Hospital Zurich, Zurich, Switzerland. Tadzioraoul.roche@usz.ch., Meybohm P; Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Wuerzburg, University of Wuerzburg, Wuerzburg, Germany., Hottenrott S; Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Wuerzburg, University of Wuerzburg, Wuerzburg, Germany., Zacharowski K; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany., Raimann FJ; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany., Rivas E; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain., López-Baamonde M; Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain., Ganter MT; Institute of Anaesthesiology and Critical Care Medicine, Clinic Hirslanden Zurich, Zurich, Switzerland., Nöthiger CB; Institute of Anaesthesiology, University of Zurich and University Hospital Zurich, Zurich, Switzerland., Spahn DR; Institute of Anaesthesiology, University of Zurich and University Hospital Zurich, Zurich, Switzerland., Tscholl DW; Institute of Anaesthesiology, University of Zurich and University Hospital Zurich, Zurich, Switzerland., Akbas S; Institute of Anaesthesiology, University of Zurich and University Hospital Zurich, Zurich, Switzerland.
المصدر: Scientific reports [Sci Rep] 2023 Apr 11; Vol. 13 (1), pp. 5908. Date of Electronic Publication: 2023 Apr 11.
نوع المنشور: Multicenter Study; Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : Nature Publishing Group, copyright 2011-
مواضيع طبية MeSH: Workload* , Intensive Care Units*, Humans ; Monitoring, Physiologic ; Awareness ; Computers
مستخلص: Patient monitoring is the foundation of intensive care medicine. High workload and information overload can impair situation awareness of staff, thus leading to loss of important information about patients' conditions. To facilitate mental processing of patient monitoring data, we developed the Visual-Patient-avatar Intensive Care Unit (ICU), a virtual patient model animated from vital signs and patient installation data. It incorporates user-centred design principles to foster situation awareness. This study investigated the avatar's effects on information transfer measured by performance, diagnostic confidence and perceived workload. This computer-based study compared Visual-Patient-avatar ICU and conventional monitor modality for the first time. We recruited 25 nurses and 25 physicians from five centres. The participants completed an equal number of scenarios in both modalities. Information transfer, as the primary outcome, was defined as correctly assessing vital signs and installations. Secondary outcomes included diagnostic confidence and perceived workload. For analysis, we used mixed models and matched odds ratios. Comparing 250 within-subject cases revealed that Visual-Patient-avatar ICU led to a higher rate of correctly assessed vital signs and installations [rate ratio (RR) 1.25; 95% CI 1.19-1.31; P < 0.001], strengthened diagnostic confidence [odds ratio (OR) 3.32; 95% CI 2.15-5.11, P < 0.001] and lowered perceived workload (coefficient - 7.62; 95% CI - 9.17 to - 6.07; P < 0.001) than conventional modality. Using Visual-Patient-avatar ICU, participants retrieved more information with higher diagnostic confidence and lower perceived workload compared to the current industry standard monitor.
(© 2023. The Author(s).)
References: Pract Radiat Oncol. 2013 Oct-Dec;3(4):e171-7. (PMID: 24674415)
J Med Internet Res. 2020 Jun 19;22(6):e19091. (PMID: 32459655)
Sensors (Basel). 2020 Apr 09;20(7):. (PMID: 32283625)
J Clin Monit Comput. 2020 Dec;34(6):1369-1378. (PMID: 31768924)
Crit Care Nurs Clin North Am. 2018 Jun;30(2):xi-xii. (PMID: 30739643)
J Am Med Inform Assoc. 2012 Jul-Aug;19(4):583-90. (PMID: 22437074)
JMIR Med Inform. 2016 Nov 21;4(4):e31. (PMID: 27872033)
Crit Care Med. 2021 Oct 1;49(10):1638-1650. (PMID: 34269718)
BMC Med Inform Decis Mak. 2020 Feb 10;20(1):26. (PMID: 32041584)
J Am Med Inform Assoc. 2006 Nov-Dec;13(6):635-42. (PMID: 16929038)
BMJ. 2008 May 17;336(7653):1129-31. (PMID: 18483056)
Br J Anaesth. 2010 Jul;105(1):83-90. (PMID: 20551029)
JMIR Med Inform. 2019 Apr 30;7(2):e13064. (PMID: 31038467)
J Am Med Inform Assoc. 2003 Jul-Aug;10(4):363-72. (PMID: 12668693)
Stud Health Technol Inform. 2016;222:126-38. (PMID: 27198098)
J Am Med Inform Assoc. 2019 May 1;26(5):479-489. (PMID: 30865769)
Anaesthesist. 2014 Dec;63(12):942-50. (PMID: 25376445)
Appl Clin Inform. 2016 Oct 05;7(4):912-929. (PMID: 27704138)
Br J Anaesth. 2021 May;126(5):1046-1054. (PMID: 33879327)
J Med Internet Res. 2019 Jul 17;21(7):e13041. (PMID: 31317870)
N Engl J Med. 2006 Dec 21;355(25):2664-9. (PMID: 17182991)
Thromb J. 2020 Aug 24;18:15. (PMID: 32855623)
Anesthesiology. 2013 Mar;118(3):729-42. (PMID: 23291626)
Ann Surg. 2015 Jun;261(6):1079-84. (PMID: 26291954)
JAMA. 2009 Mar 11;301(10):1060-2. (PMID: 19278949)
Minerva Anestesiol. 2010 Sep;76(9):753-7. (PMID: 20820154)
Hum Factors. 2003 Fall;45(3):349-59. (PMID: 14702988)
J Med Internet Res. 2020 Sep 7;22(9):e19472. (PMID: 32780712)
Br J Anaesth. 2018 Sep;121(3):662-671. (PMID: 30115265)
J Clin Monit Comput. 2012 Dec;26(6):429-36. (PMID: 22588528)
Intensive Care Med. 2012 Apr;38(4):620-6. (PMID: 22354500)
Hum Factors. 2006 Spring;48(1):59-71. (PMID: 16696257)
J Med Internet Res. 2020 Mar 16;22(3):e15070. (PMID: 32175913)
Ann Surg. 2020 Apr;271(4):686-692. (PMID: 30247331)
تواريخ الأحداث: Date Created: 20230411 Date Completed: 20230413 Latest Revision: 20230426
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC10088750
DOI: 10.1038/s41598-023-33027-z
PMID: 37041316
قاعدة البيانات: MEDLINE
الوصف
تدمد:2045-2322
DOI:10.1038/s41598-023-33027-z