Distributing healthcare through tech: The next wave of innovation

[...]the potential is greater than simply monitoring patients who may need consistent care for chronic conditions, or who are hesitant to venture out and potentially be exposed to COVID-19. Since RPM technology is digitally connected and non-invasive, healthcare providers can use these tools to moni...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Ophthalmology Times 2020-10, Vol.45 (16), p.44-45
1. Verfasser: Ide, Lucienne Marie
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 45
container_issue 16
container_start_page 44
container_title Ophthalmology Times
container_volume 45
creator Ide, Lucienne Marie
description [...]the potential is greater than simply monitoring patients who may need consistent care for chronic conditions, or who are hesitant to venture out and potentially be exposed to COVID-19. Since RPM technology is digitally connected and non-invasive, healthcare providers can use these tools to monitor temperature, pulmonary function, blood pressure and other physiological changes to not only identify individuals with the disease, but to watch for emergency warning signs of more serious problems, such as difficulty breathing. Will better care result from the data collected? Since use of RPM for COVID-19 is in a nascent stage, there is no definitive proof that these solutions will work. [...]there is an expectation that tying in automated, continuous biometric data collection with existing health management platforms, electronic health records and risk factors, then applying advanced analytics, will provide greater insights to inform healthcare providers, so they can predict infections before symptoms present and take appropriate actions.
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_reports_2458780586</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2458780586</sourcerecordid><originalsourceid>FETCH-proquest_reports_24587805863</originalsourceid><addsrcrecordid>eNqNyksOgjAQANDGaCJ-7jBxT1JoEXRn_MQDsGBHKhloDWmxHdDju_EArt7mzViUJhmPcyHEnEU8OYiYi7RaslUIT865FFJG7HQxgbx5jGRsBxpVT7pRHoG0d2OngbDRRyg1gsUPwVtNCK4FY62bFBlnN2zRqj7g9uea7W7X8nyPB-9eIwaqPQ7OU6hTmRV5wbNiL_5KXyNEOlY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2458780586</pqid></control><display><type>article</type><title>Distributing healthcare through tech: The next wave of innovation</title><source>Alma/SFX Local Collection</source><creator>Ide, Lucienne Marie</creator><creatorcontrib>Ide, Lucienne Marie</creatorcontrib><description>[...]the potential is greater than simply monitoring patients who may need consistent care for chronic conditions, or who are hesitant to venture out and potentially be exposed to COVID-19. Since RPM technology is digitally connected and non-invasive, healthcare providers can use these tools to monitor temperature, pulmonary function, blood pressure and other physiological changes to not only identify individuals with the disease, but to watch for emergency warning signs of more serious problems, such as difficulty breathing. Will better care result from the data collected? Since use of RPM for COVID-19 is in a nascent stage, there is no definitive proof that these solutions will work. [...]there is an expectation that tying in automated, continuous biometric data collection with existing health management platforms, electronic health records and risk factors, then applying advanced analytics, will provide greater insights to inform healthcare providers, so they can predict infections before symptoms present and take appropriate actions.</description><identifier>ISSN: 0193-032X</identifier><identifier>EISSN: 2150-7333</identifier><language>eng</language><publisher>Monmouth Junction: MultiMedia Healthcare Inc</publisher><subject>Asymptomatic ; Automation ; Blood pressure ; Chronic illnesses ; Coronaviruses ; COVID-19 ; Disease ; Emergency communications systems ; Emergency medical care ; Health care industry ; Ophthalmology ; Pandemics ; Patients ; Physiology ; Respiration ; Wearable computers</subject><ispartof>Ophthalmology Times, 2020-10, Vol.45 (16), p.44-45</ispartof><rights>Copyright MultiMedia Healthcare Inc. Oct 1, 2020</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>312,776,780,787</link.rule.ids></links><search><creatorcontrib>Ide, Lucienne Marie</creatorcontrib><title>Distributing healthcare through tech: The next wave of innovation</title><title>Ophthalmology Times</title><description>[...]the potential is greater than simply monitoring patients who may need consistent care for chronic conditions, or who are hesitant to venture out and potentially be exposed to COVID-19. Since RPM technology is digitally connected and non-invasive, healthcare providers can use these tools to monitor temperature, pulmonary function, blood pressure and other physiological changes to not only identify individuals with the disease, but to watch for emergency warning signs of more serious problems, such as difficulty breathing. Will better care result from the data collected? Since use of RPM for COVID-19 is in a nascent stage, there is no definitive proof that these solutions will work. [...]there is an expectation that tying in automated, continuous biometric data collection with existing health management platforms, electronic health records and risk factors, then applying advanced analytics, will provide greater insights to inform healthcare providers, so they can predict infections before symptoms present and take appropriate actions.</description><subject>Asymptomatic</subject><subject>Automation</subject><subject>Blood pressure</subject><subject>Chronic illnesses</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Disease</subject><subject>Emergency communications systems</subject><subject>Emergency medical care</subject><subject>Health care industry</subject><subject>Ophthalmology</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Physiology</subject><subject>Respiration</subject><subject>Wearable computers</subject><issn>0193-032X</issn><issn>2150-7333</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNyksOgjAQANDGaCJ-7jBxT1JoEXRn_MQDsGBHKhloDWmxHdDju_EArt7mzViUJhmPcyHEnEU8OYiYi7RaslUIT865FFJG7HQxgbx5jGRsBxpVT7pRHoG0d2OngbDRRyg1gsUPwVtNCK4FY62bFBlnN2zRqj7g9uea7W7X8nyPB-9eIwaqPQ7OU6hTmRV5wbNiL_5KXyNEOlY</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Ide, Lucienne Marie</creator><general>MultiMedia Healthcare Inc</general><scope>3V.</scope><scope>7RQ</scope><scope>7WY</scope><scope>7X7</scope><scope>7XB</scope><scope>883</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9-</scope><scope>K9.</scope><scope>L.-</scope><scope>M0F</scope><scope>M0R</scope><scope>M0S</scope><scope>M2P</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>U9A</scope></search><sort><creationdate>20201001</creationdate><title>Distributing healthcare through tech: The next wave of innovation</title><author>Ide, Lucienne Marie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_reports_24587805863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Asymptomatic</topic><topic>Automation</topic><topic>Blood pressure</topic><topic>Chronic illnesses</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Disease</topic><topic>Emergency communications systems</topic><topic>Emergency medical care</topic><topic>Health care industry</topic><topic>Ophthalmology</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Physiology</topic><topic>Respiration</topic><topic>Wearable computers</topic><toplevel>online_resources</toplevel><creatorcontrib>Ide, Lucienne Marie</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Career &amp; Technical Education Database</collection><collection>ABI/INFORM Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Trade &amp; Industry (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</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>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Trade &amp; Industry</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</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>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Ophthalmology Times</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ide, Lucienne Marie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distributing healthcare through tech: The next wave of innovation</atitle><jtitle>Ophthalmology Times</jtitle><date>2020-10-01</date><risdate>2020</risdate><volume>45</volume><issue>16</issue><spage>44</spage><epage>45</epage><pages>44-45</pages><issn>0193-032X</issn><eissn>2150-7333</eissn><abstract>[...]the potential is greater than simply monitoring patients who may need consistent care for chronic conditions, or who are hesitant to venture out and potentially be exposed to COVID-19. Since RPM technology is digitally connected and non-invasive, healthcare providers can use these tools to monitor temperature, pulmonary function, blood pressure and other physiological changes to not only identify individuals with the disease, but to watch for emergency warning signs of more serious problems, such as difficulty breathing. Will better care result from the data collected? Since use of RPM for COVID-19 is in a nascent stage, there is no definitive proof that these solutions will work. [...]there is an expectation that tying in automated, continuous biometric data collection with existing health management platforms, electronic health records and risk factors, then applying advanced analytics, will provide greater insights to inform healthcare providers, so they can predict infections before symptoms present and take appropriate actions.</abstract><cop>Monmouth Junction</cop><pub>MultiMedia Healthcare Inc</pub></addata></record>
fulltext fulltext
identifier ISSN: 0193-032X
ispartof Ophthalmology Times, 2020-10, Vol.45 (16), p.44-45
issn 0193-032X
2150-7333
language eng
recordid cdi_proquest_reports_2458780586
source Alma/SFX Local Collection
subjects Asymptomatic
Automation
Blood pressure
Chronic illnesses
Coronaviruses
COVID-19
Disease
Emergency communications systems
Emergency medical care
Health care industry
Ophthalmology
Pandemics
Patients
Physiology
Respiration
Wearable computers
title Distributing healthcare through tech: The next wave of innovation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T16%3A04%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Distributing%20healthcare%20through%20tech:%20The%20next%20wave%20of%20innovation&rft.jtitle=Ophthalmology%20Times&rft.au=Ide,%20Lucienne%20Marie&rft.date=2020-10-01&rft.volume=45&rft.issue=16&rft.spage=44&rft.epage=45&rft.pages=44-45&rft.issn=0193-032X&rft.eissn=2150-7333&rft_id=info:doi/&rft_dat=%3Cproquest%3E2458780586%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2458780586&rft_id=info:pmid/&rfr_iscdi=true