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A pilot study to investigate real-time digital alerting from wearable sensors in surgical patients
Background Continuous vital sign monitoring may identify changes sooner than current standard monitoring. Objective To investigate if the use of real-time digital alerts sent to healthcare staff can improve the time taken to identify unwell patients and those with sepsis. Design A prospective cohort...
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Published in: | Pilot and feasibility studies 2022-07, Vol.8 (1), p.1-140, Article 140 |
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description | Background Continuous vital sign monitoring may identify changes sooner than current standard monitoring. Objective To investigate if the use of real-time digital alerts sent to healthcare staff can improve the time taken to identify unwell patients and those with sepsis. Design A prospective cohort study design. Setting West Middlesex University Hospital, UK. Participants Fifty acutely unwell surgical patients admitted to hospital. Intervention Patients wore a lightweight wearable sensor measuring heart rate (HR), respiratory rate (RR) and temperature every 2 min whilst standard intermittent ward monitoring of vital signs was performed by nurses. Digital alerts were sent to healthcare staff from the sensor to a smartphone device. All alerts were reviewed for recruited patients to identify the exact time on the sensor in which deterioration occurred. The time to acknowledgement was then reviewed for each action and an average time to acknowledgement calculated. Results There were 50 patients recruited in the pilot study, of which there were vital sign alerts in 18 patients (36%). The total number of vital sign alerts generated in these 18 patients was 51. Of these 51 alerts, there were 7 alerts for high HR (13.7%), 33 for RR (64.7%) and 11 for temperature (21.6%). Out of the 27 acknowledged alerts, there were 2 alerts for HR, 17 for RR and 8 for temperature. The average time to staff acknowledgement of the notification for all alerts was 154 min (2.6 h). There were some patients which had shown signs of deterioration in the cohort. The frequency of routine observation monitoring was increased in 2 cases, 3 patients were referred to a senior clinician and 2 patients were initiated on the sepsis pathway. Conclusion This study demonstrates the evaluation of digital alerts to nurses in real time. Although not all alerts were acknowledged, deterioration on the ward observations was detected and actions were taken accordingly. Patients were started on the sepsis pathway and escalation to senior clinicians occurred. Further research is required to review why only some alerts were acknowledged and the effects of digital alerting on patient outcomes. Trial registration ClinicalTrials.gov, NCT04638738 Keywords: Wearable sensors, Vital signs, Continuous monitoring |
doi_str_mv | 10.1186/s40814-022-01084-2 |
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Objective To investigate if the use of real-time digital alerts sent to healthcare staff can improve the time taken to identify unwell patients and those with sepsis. Design A prospective cohort study design. Setting West Middlesex University Hospital, UK. Participants Fifty acutely unwell surgical patients admitted to hospital. Intervention Patients wore a lightweight wearable sensor measuring heart rate (HR), respiratory rate (RR) and temperature every 2 min whilst standard intermittent ward monitoring of vital signs was performed by nurses. Digital alerts were sent to healthcare staff from the sensor to a smartphone device. All alerts were reviewed for recruited patients to identify the exact time on the sensor in which deterioration occurred. The time to acknowledgement was then reviewed for each action and an average time to acknowledgement calculated. Results There were 50 patients recruited in the pilot study, of which there were vital sign alerts in 18 patients (36%). The total number of vital sign alerts generated in these 18 patients was 51. Of these 51 alerts, there were 7 alerts for high HR (13.7%), 33 for RR (64.7%) and 11 for temperature (21.6%). Out of the 27 acknowledged alerts, there were 2 alerts for HR, 17 for RR and 8 for temperature. The average time to staff acknowledgement of the notification for all alerts was 154 min (2.6 h). There were some patients which had shown signs of deterioration in the cohort. The frequency of routine observation monitoring was increased in 2 cases, 3 patients were referred to a senior clinician and 2 patients were initiated on the sepsis pathway. Conclusion This study demonstrates the evaluation of digital alerts to nurses in real time. Although not all alerts were acknowledged, deterioration on the ward observations was detected and actions were taken accordingly. Patients were started on the sepsis pathway and escalation to senior clinicians occurred. Further research is required to review why only some alerts were acknowledged and the effects of digital alerting on patient outcomes. Trial registration ClinicalTrials.gov, NCT04638738 Keywords: Wearable sensors, Vital signs, Continuous monitoring</description><identifier>ISSN: 2055-5784</identifier><identifier>EISSN: 2055-5784</identifier><identifier>DOI: 10.1186/s40814-022-01084-2</identifier><identifier>PMID: 35794669</identifier><language>eng</language><publisher>London: BioMed Central Ltd</publisher><subject>Clinical outcomes ; Continuous monitoring ; Electrodes ; Health care reform ; Heart beat ; Heart rate ; Hospital patients ; Intensive care ; Medical care ; Medical personnel ; Medical research ; Medicine, Experimental ; Mortality ; Nursing ; Patients ; Physiology ; Quality management ; Real time ; Sensors ; Sepsis ; Smartphones ; Vital signs ; Wearable computers ; Wearable sensors</subject><ispartof>Pilot and feasibility studies, 2022-07, Vol.8 (1), p.1-140, Article 140</ispartof><rights>COPYRIGHT 2022 BioMed Central Ltd.</rights><rights>2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c571t-45c774a7befc0c70cab12ead31d5d37595b47294910ae03842d661f64a32d44c3</citedby><cites>FETCH-LOGICAL-c571t-45c774a7befc0c70cab12ead31d5d37595b47294910ae03842d661f64a32d44c3</cites><orcidid>0000-0003-4417-1437</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258087/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2691543423?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids></links><search><creatorcontrib>Joshi, Meera</creatorcontrib><creatorcontrib>Ashrafian, Hutan</creatorcontrib><creatorcontrib>Arora, Sonal</creatorcontrib><creatorcontrib>Sharabiani, Mansour</creatorcontrib><creatorcontrib>McAndrew, Kenny</creatorcontrib><creatorcontrib>Khan, Sadia N</creatorcontrib><creatorcontrib>Cooke, Graham S</creatorcontrib><creatorcontrib>Darzi, Ara</creatorcontrib><title>A pilot study to investigate real-time digital alerting from wearable sensors in surgical patients</title><title>Pilot and feasibility studies</title><description>Background Continuous vital sign monitoring may identify changes sooner than current standard monitoring. Objective To investigate if the use of real-time digital alerts sent to healthcare staff can improve the time taken to identify unwell patients and those with sepsis. Design A prospective cohort study design. Setting West Middlesex University Hospital, UK. Participants Fifty acutely unwell surgical patients admitted to hospital. Intervention Patients wore a lightweight wearable sensor measuring heart rate (HR), respiratory rate (RR) and temperature every 2 min whilst standard intermittent ward monitoring of vital signs was performed by nurses. Digital alerts were sent to healthcare staff from the sensor to a smartphone device. All alerts were reviewed for recruited patients to identify the exact time on the sensor in which deterioration occurred. The time to acknowledgement was then reviewed for each action and an average time to acknowledgement calculated. Results There were 50 patients recruited in the pilot study, of which there were vital sign alerts in 18 patients (36%). The total number of vital sign alerts generated in these 18 patients was 51. Of these 51 alerts, there were 7 alerts for high HR (13.7%), 33 for RR (64.7%) and 11 for temperature (21.6%). Out of the 27 acknowledged alerts, there were 2 alerts for HR, 17 for RR and 8 for temperature. The average time to staff acknowledgement of the notification for all alerts was 154 min (2.6 h). There were some patients which had shown signs of deterioration in the cohort. The frequency of routine observation monitoring was increased in 2 cases, 3 patients were referred to a senior clinician and 2 patients were initiated on the sepsis pathway. Conclusion This study demonstrates the evaluation of digital alerts to nurses in real time. Although not all alerts were acknowledged, deterioration on the ward observations was detected and actions were taken accordingly. Patients were started on the sepsis pathway and escalation to senior clinicians occurred. Further research is required to review why only some alerts were acknowledged and the effects of digital alerting on patient outcomes. Trial registration ClinicalTrials.gov, NCT04638738 Keywords: Wearable sensors, Vital signs, Continuous monitoring</description><subject>Clinical outcomes</subject><subject>Continuous monitoring</subject><subject>Electrodes</subject><subject>Health care reform</subject><subject>Heart beat</subject><subject>Heart rate</subject><subject>Hospital patients</subject><subject>Intensive care</subject><subject>Medical care</subject><subject>Medical personnel</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Mortality</subject><subject>Nursing</subject><subject>Patients</subject><subject>Physiology</subject><subject>Quality management</subject><subject>Real time</subject><subject>Sensors</subject><subject>Sepsis</subject><subject>Smartphones</subject><subject>Vital signs</subject><subject>Wearable computers</subject><subject>Wearable sensors</subject><issn>2055-5784</issn><issn>2055-5784</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkk1r3DAQhk1paUKaP9CToVB6cTr6sqRLYQltGgj00p6FLMleLbK1leSU_Pso2ZBmS9FBYvTMO9LM2zTvEVwgJPrPmYJAtAOMO0AgaIdfNacYGOsYF_T1i_NJc57zDgAQ45Rh-bY5IYxL2vfytBk27d6HWNpcVnvXltj65dbl4iddXJucDl3xs2utn3zRodXBpeKXqR1TnNs_Tic9BNdmt-SYck1u85ombyq618W7peR3zZtRh-zOn_az5te3rz8vv3c3P66uLzc3nWEclY4ywznVfHCjAcPB6AFhpy1BllnCmWQD5VhSiUA7IIJi2_do7Kkm2FJqyFlzfdC1Ue_UPvlZpzsVtVePgZgmpevbTXAKj0IKZDQFrKnBRFpujTG8HwEsgKxaXw5a-3WYnTX1H0mHI9Hjm8Vv1RRvlcRMgOBV4NOTQIq_19pQNftsXAh6cXHNCveiB9ZzLCr64R90F9e01FZVSiJGCcXkLzXVESi_jLHWNQ-iasMR9CAwgUpd_Ieqy7rZm7i40df4UcLHFwnbOu-yzTGsxcclH4P4AJoUc05ufG4GAvXgSHVwpKqOVI-OVJjcA_Nt0BU</recordid><startdate>20220706</startdate><enddate>20220706</enddate><creator>Joshi, Meera</creator><creator>Ashrafian, Hutan</creator><creator>Arora, Sonal</creator><creator>Sharabiani, Mansour</creator><creator>McAndrew, Kenny</creator><creator>Khan, Sadia N</creator><creator>Cooke, Graham S</creator><creator>Darzi, Ara</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M0T</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4417-1437</orcidid></search><sort><creationdate>20220706</creationdate><title>A pilot study to investigate real-time digital alerting from wearable sensors in surgical patients</title><author>Joshi, Meera ; Ashrafian, Hutan ; Arora, Sonal ; Sharabiani, Mansour ; McAndrew, Kenny ; Khan, Sadia N ; Cooke, Graham S ; Darzi, Ara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c571t-45c774a7befc0c70cab12ead31d5d37595b47294910ae03842d661f64a32d44c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Clinical outcomes</topic><topic>Continuous monitoring</topic><topic>Electrodes</topic><topic>Health care reform</topic><topic>Heart beat</topic><topic>Heart rate</topic><topic>Hospital patients</topic><topic>Intensive care</topic><topic>Medical care</topic><topic>Medical personnel</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Mortality</topic><topic>Nursing</topic><topic>Patients</topic><topic>Physiology</topic><topic>Quality management</topic><topic>Real time</topic><topic>Sensors</topic><topic>Sepsis</topic><topic>Smartphones</topic><topic>Vital signs</topic><topic>Wearable computers</topic><topic>Wearable sensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Joshi, Meera</creatorcontrib><creatorcontrib>Ashrafian, Hutan</creatorcontrib><creatorcontrib>Arora, Sonal</creatorcontrib><creatorcontrib>Sharabiani, Mansour</creatorcontrib><creatorcontrib>McAndrew, Kenny</creatorcontrib><creatorcontrib>Khan, Sadia N</creatorcontrib><creatorcontrib>Cooke, Graham S</creatorcontrib><creatorcontrib>Darzi, Ara</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Health Management Database (ProQuest)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Pilot and feasibility studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Joshi, Meera</au><au>Ashrafian, Hutan</au><au>Arora, Sonal</au><au>Sharabiani, Mansour</au><au>McAndrew, Kenny</au><au>Khan, Sadia N</au><au>Cooke, Graham S</au><au>Darzi, Ara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A pilot study to investigate real-time digital alerting from wearable sensors in surgical patients</atitle><jtitle>Pilot and feasibility studies</jtitle><date>2022-07-06</date><risdate>2022</risdate><volume>8</volume><issue>1</issue><spage>1</spage><epage>140</epage><pages>1-140</pages><artnum>140</artnum><issn>2055-5784</issn><eissn>2055-5784</eissn><abstract>Background Continuous vital sign monitoring may identify changes sooner than current standard monitoring. Objective To investigate if the use of real-time digital alerts sent to healthcare staff can improve the time taken to identify unwell patients and those with sepsis. Design A prospective cohort study design. Setting West Middlesex University Hospital, UK. Participants Fifty acutely unwell surgical patients admitted to hospital. Intervention Patients wore a lightweight wearable sensor measuring heart rate (HR), respiratory rate (RR) and temperature every 2 min whilst standard intermittent ward monitoring of vital signs was performed by nurses. Digital alerts were sent to healthcare staff from the sensor to a smartphone device. All alerts were reviewed for recruited patients to identify the exact time on the sensor in which deterioration occurred. The time to acknowledgement was then reviewed for each action and an average time to acknowledgement calculated. Results There were 50 patients recruited in the pilot study, of which there were vital sign alerts in 18 patients (36%). The total number of vital sign alerts generated in these 18 patients was 51. Of these 51 alerts, there were 7 alerts for high HR (13.7%), 33 for RR (64.7%) and 11 for temperature (21.6%). Out of the 27 acknowledged alerts, there were 2 alerts for HR, 17 for RR and 8 for temperature. The average time to staff acknowledgement of the notification for all alerts was 154 min (2.6 h). There were some patients which had shown signs of deterioration in the cohort. The frequency of routine observation monitoring was increased in 2 cases, 3 patients were referred to a senior clinician and 2 patients were initiated on the sepsis pathway. Conclusion This study demonstrates the evaluation of digital alerts to nurses in real time. Although not all alerts were acknowledged, deterioration on the ward observations was detected and actions were taken accordingly. Patients were started on the sepsis pathway and escalation to senior clinicians occurred. Further research is required to review why only some alerts were acknowledged and the effects of digital alerting on patient outcomes. Trial registration ClinicalTrials.gov, NCT04638738 Keywords: Wearable sensors, Vital signs, Continuous monitoring</abstract><cop>London</cop><pub>BioMed Central Ltd</pub><pmid>35794669</pmid><doi>10.1186/s40814-022-01084-2</doi><orcidid>https://orcid.org/0000-0003-4417-1437</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Clinical outcomes Continuous monitoring Electrodes Health care reform Heart beat Heart rate Hospital patients Intensive care Medical care Medical personnel Medical research Medicine, Experimental Mortality Nursing Patients Physiology Quality management Real time Sensors Sepsis Smartphones Vital signs Wearable computers Wearable sensors |
title | A pilot study to investigate real-time digital alerting from wearable sensors in surgical patients |
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