Literature DB >> 27365321

Telemedicine coverage for post-operative ICU patients.

Tara Ann Collins1, Matthew P Robertson2, Corinna P Sicoutris1, Michael A Pisa1, Daniel N Holena3, Patrick M Reilly3, Benjamin A Kohl4.   

Abstract

Introduction There is an increased demand for intensive care unit (ICU) beds. We sought to determine if we could create a safe surge capacity model to increase ICU capacity by treating ICU patients in the post-anaesthesia care unit (PACU) utilizing a collaborative model between an ICU service and a telemedicine service during peak ICU bed demand. Methods We evaluated patients managed by the surgical critical care service in the surgical intensive care unit (SICU) compared to patients managed in the virtual intensive care unit (VICU) located within the PACU. A retrospective review of all patients seen by the surgical critical care service from January 1st 2008 to July 31st 2011 was conducted at an urban, academic, tertiary centre and level 1 trauma centre. Results Compared to the SICU group ( n = 6652), patients in the VICU group ( n = 1037) were slightly older (median age 60 (IQR 47-69) versus 58 (IQR 44-70) years, p = 0.002) and had lower acute physiology and chronic health evaluation (APACHE) II scores (median 10 (IQR 7-14) versus 15 (IQR 11-21), p < 0.001). The average amount of time patients spent in the VICU was 13.7 + /-9.6 hours. In the VICU group, 750 (72%) of patients were able to be transferred directly to the floor; 287 (28%) required subsequent admission to the surgical intensive care unit. All patients in the VICU group were alive upon transfer out of the PACU while mortality in the surgical intensive unit cohort was 5.5%. Discussion A collaborative care model between a surgical critical care service and a telemedicine ICU service may safely provide surge capacity during peak periods of ICU bed demand. The specific patient populations for which this approach is most appropriate merits further investigation.

Entities:  

Keywords:  ICU surge capacity; advanced practitioners; nurse practitioner; post-anaesthesia care unit

Mesh:

Year:  2016        PMID: 27365321      PMCID: PMC5849473          DOI: 10.1177/1357633X16631846

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  22 in total

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3.  A multicenter study of ICU telemedicine reengineering of adult critical care.

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6.  The effect of ICU telemedicine on mortality and length of stay.

Authors:  Benjamin A Kohl; Margaret Fortino-Mullen; Amy Praestgaard; C William Hanson; Joseph Dimartino; E Andrew Ochroch
Journal:  J Telemed Telecare       Date:  2012-07-16       Impact factor: 6.184

7.  Evaluation of triage decisions for intensive care admission.

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Review 8.  Impact of telemedicine intensive care unit coverage on patient outcomes: a systematic review and meta-analysis.

Authors:  Lance Brendan Young; Paul S Chan; Xin Lu; Brahmajee K Nallamothu; Comilla Sasson; Peter M Cram
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9.  Prospective evaluation of patients refused admission to an intensive care unit: triage, futility and outcome.

Authors:  G M Joynt; C D Gomersall; P Tan; A Lee; C A Cheng; E L Wong
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Review 10.  The effect of telemedicine in critically ill patients: systematic review and meta-analysis.

Authors:  M Elizabeth Wilcox; Neill K J Adhikari
Journal:  Crit Care       Date:  2012-07-18       Impact factor: 9.097

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2.  Legal Perspectives on Telemedicine Part 2: Telemedicine in the Intensive Care Unit and Medicolegal Risk.

Authors:  Christian D Becker; Katherine Dandy; Max Gaujean; Mario Fusaro; Corey Scurlock
Journal:  Perm J       Date:  2019-08-29

3.  Precision medicine in anesthesiology.

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Review 4.  [Telehealth in peroperative medicine].

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