Skip to main content
Erschienen in: Intensive Care Medicine 5/2019

27.09.2018 | What's New in Intensive Care

The rise of ward monitoring: opportunities and challenges for critical care specialists

verfasst von: Frederic Michard, Rinaldo Bellomo, Andreas Taenzer

Erschienen in: Intensive Care Medicine | Ausgabe 5/2019

Einloggen, um Zugang zu erhalten

Excerpt

Many hospitals have implemented rapid response teams (RRTs) for rescue interventions outside the ICU. The outcome impact of RRTs is still a matter of debate but there is a consensus regarding the fact that timely detection and notification of clinical deterioration (aka the afferent limb) is a key determinant of success [1, 2]. To improve the detection of clinical deterioration, multiple monitoring systems have recently been developed for the wards. They include wireless pulse oximeters, adhesive patches containing electrodes, accelerometers, thermistors or piezoelectric sensors, and bioimpedance necklaces [35]. These new tools enable the continuous monitoring of heart rate (or pulse rate), ECG (one or more leads), respiratory rate, SpO2, peripheral perfusion, axillary temperature, and the detection of changes in thoracic fluid content and blood pressure. The rise of ward monitoring creates opportunities and challenges for critical care specialists that are discussed in this article. …
Literatur
1.
Zurück zum Zitat Taenzer AH, Spence BC (2018) The afferent limb of rapid response systems. Continuous monitoring on general care units. Crit Care Clin 34:189–198CrossRefPubMed Taenzer AH, Spence BC (2018) The afferent limb of rapid response systems. Continuous monitoring on general care units. Crit Care Clin 34:189–198CrossRefPubMed
2.
Zurück zum Zitat Vincent JL, Einav S, Pearse R et al (2018) Improving detection of patient deterioration in the general hospital ward environment. Eur J Anaesthesiol 35:325–333PubMedPubMedCentral Vincent JL, Einav S, Pearse R et al (2018) Improving detection of patient deterioration in the general hospital ward environment. Eur J Anaesthesiol 35:325–333PubMedPubMedCentral
3.
Zurück zum Zitat Khan Y, Ostfeld AE, Lochner CM et al (2016) Monitoring of vital signs with flexible and wearable medical devices. Adv Mater 28:4373–4395CrossRefPubMed Khan Y, Ostfeld AE, Lochner CM et al (2016) Monitoring of vital signs with flexible and wearable medical devices. Adv Mater 28:4373–4395CrossRefPubMed
4.
Zurück zum Zitat Weenk M, van Goor H, Frietman B et al (2017) Continuous monitoring of vital signs using wearable devices on the general ward: pilot study. JMIR Mhealth Uhealth 5:e91CrossRefPubMedPubMedCentral Weenk M, van Goor H, Frietman B et al (2017) Continuous monitoring of vital signs using wearable devices on the general ward: pilot study. JMIR Mhealth Uhealth 5:e91CrossRefPubMedPubMedCentral
5.
Zurück zum Zitat Michard F, Gan TJ, Kehlet H (2017) Digital innovations and emerging technologies for enhanced recovery programmes. Br J Anaesth 119:31–39CrossRefPubMed Michard F, Gan TJ, Kehlet H (2017) Digital innovations and emerging technologies for enhanced recovery programmes. Br J Anaesth 119:31–39CrossRefPubMed
6.
Zurück zum Zitat Taenzer AH, Pyke JB, McGrath SP et al (2010) Impact of pulse oximetry surveillance on rescue events and intensive care unit transfers: a before-and-after concurrence study. Anesthesiology 112:282–287CrossRefPubMed Taenzer AH, Pyke JB, McGrath SP et al (2010) Impact of pulse oximetry surveillance on rescue events and intensive care unit transfers: a before-and-after concurrence study. Anesthesiology 112:282–287CrossRefPubMed
7.
Zurück zum Zitat Churpek MM, Wendlandt B, Zadravecz FJ et al (2016) Association between intensive care unit transfer delay and hospital mortality: a multicenter investigation. J Hosp Med 11:757–762CrossRefPubMedPubMedCentral Churpek MM, Wendlandt B, Zadravecz FJ et al (2016) Association between intensive care unit transfer delay and hospital mortality: a multicenter investigation. J Hosp Med 11:757–762CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Brown H, Terrence J, Vasquez P et al (2014) Continuous monitoring in an inpatient medical-surgical unit: a controlled clinical trial. Am J Med 127:226–232CrossRefPubMed Brown H, Terrence J, Vasquez P et al (2014) Continuous monitoring in an inpatient medical-surgical unit: a controlled clinical trial. Am J Med 127:226–232CrossRefPubMed
9.
Zurück zum Zitat Bellomo R, Ackerman M, Bailey M et al (2012) A controlled trial of electronic automated advisory vital signs monitoring in general hospital wards. Crit Care Med 40:2349–2361CrossRefPubMed Bellomo R, Ackerman M, Bailey M et al (2012) A controlled trial of electronic automated advisory vital signs monitoring in general hospital wards. Crit Care Med 40:2349–2361CrossRefPubMed
10.
Zurück zum Zitat Subbe CP, Duller B, Bellomo R (2017) Effect of an automated notification system for deteriorating ward patients on clinical outcomes. Crit Care 21:52CrossRefPubMedPubMedCentral Subbe CP, Duller B, Bellomo R (2017) Effect of an automated notification system for deteriorating ward patients on clinical outcomes. Crit Care 21:52CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Imhoff M, Kuhls S (2006) Alarm algorithms in critical care monitoring. Anesth Analg 102:1525–1537CrossRefPubMed Imhoff M, Kuhls S (2006) Alarm algorithms in critical care monitoring. Anesth Analg 102:1525–1537CrossRefPubMed
12.
Zurück zum Zitat McGrath SP, Taenzer AH, Karon N, Blike G (2016) Surveillance monitoring management for general care units: strategy, design, and implementation. Jt Comm J Qual Patient Saf 42:293–302CrossRefPubMed McGrath SP, Taenzer AH, Karon N, Blike G (2016) Surveillance monitoring management for general care units: strategy, design, and implementation. Jt Comm J Qual Patient Saf 42:293–302CrossRefPubMed
14.
Zurück zum Zitat Chen L, Dubrawski A, Wang D et al (2016) Using supervised machine learning to classify real alerts and artifact in online multisignal vital sign monitoring data. Crit Care Med 44:e456–e463CrossRefPubMedPubMedCentral Chen L, Dubrawski A, Wang D et al (2016) Using supervised machine learning to classify real alerts and artifact in online multisignal vital sign monitoring data. Crit Care Med 44:e456–e463CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Churpek MM, Yuen TC, Winslow C et al (2016) Multicenter comparison of machine learning methods and conventional regression for predicting clinical deterioration on the wards. Crit Care Med 44:368–374CrossRefPubMedPubMedCentral Churpek MM, Yuen TC, Winslow C et al (2016) Multicenter comparison of machine learning methods and conventional regression for predicting clinical deterioration on the wards. Crit Care Med 44:368–374CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Prgomet M, Cardona-morrell M, Nicholson M et al (2016) Vital signs monitoring on general wards: clinical staff perceptions of current practices and the planned introduction of continuous monitoring technology. Int J Qual Health Care 28:515–521CrossRefPubMed Prgomet M, Cardona-morrell M, Nicholson M et al (2016) Vital signs monitoring on general wards: clinical staff perceptions of current practices and the planned introduction of continuous monitoring technology. Int J Qual Health Care 28:515–521CrossRefPubMed
19.
Zurück zum Zitat Slight SP, Franz C, Olugbile M et al (2014) The return on investment of implementing a continuous monitoring system in general medical-surgical units. Crit Care Med 42:1862–1868CrossRefPubMed Slight SP, Franz C, Olugbile M et al (2014) The return on investment of implementing a continuous monitoring system in general medical-surgical units. Crit Care Med 42:1862–1868CrossRefPubMed
21.
Zurück zum Zitat Bates DW, Zimlichman E (2015) Finding patients before they crash: the next major opportunity to improve patient safety. BMJ Qual Saf 24:1–3CrossRefPubMed Bates DW, Zimlichman E (2015) Finding patients before they crash: the next major opportunity to improve patient safety. BMJ Qual Saf 24:1–3CrossRefPubMed
Metadaten
Titel
The rise of ward monitoring: opportunities and challenges for critical care specialists
verfasst von
Frederic Michard
Rinaldo Bellomo
Andreas Taenzer
Publikationsdatum
27.09.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Intensive Care Medicine / Ausgabe 5/2019
Print ISSN: 0342-4642
Elektronische ISSN: 1432-1238
DOI
https://doi.org/10.1007/s00134-018-5384-5

Weitere Artikel der Ausgabe 5/2019

Intensive Care Medicine 5/2019 Zur Ausgabe

Update AINS

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.