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Buying ventilators is a huge economic effort&#46; However&#44; increasing the number of critical beds or having more personnel is not easy to improvise&#46; On the other hand&#44; studies like the CESAR trial<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> confirmed that mortality rate is lower when the patient is treated in a specialized ICU with a high volume of admissions&#46; In the light of the current situation&#44; modern technology based on digital transformation can help&#46; What are the benefits we could expect from information systems at the ICU setting&#63;</p><p id="par0015" class="elsevierStylePara elsevierViewall">The most important one is improving healthcare for the patients&#46; Obtaining huge amounts of clinical&#44; radiological&#44; and laboratory data&#8212;without manual intervention&#8212;in a complete&#44; reliable&#44; shared&#44; and real-time way speeds up the therapeutic decision-making process and does so in an even safer way&#46; Also&#44; it allows us to assess the impact and safety of the therapeutic approach used&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">It also reduces the nursing team workload and the elements of contagion&#46; Electronic charts and checklists filled in through real-time automatic data mining avoid errors of data transcription and allow nurses to dedicate more time to the patients&#46; Also&#44; suppressing paper and other devices eliminates possible sources of infection&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">Acquisition of new knowledge&#46; One of the characteristics of the current COVID-19 pandemic is not knowing the natural history of the disease&#46; Big Data techniques are essential here too to facilitate the creation of patients&#8217; profiles including their individual traits&#44; anticipate the progression of the disease&#44; and predict the possible responses to the different therapeutic approaches used&#46;<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a> However&#44; we should remember that Big Data means having a great amount of reliable and exploitable data&#46; This is impossible without computer applications specifically designed the ICU setting&#46; It seems counterintuitive to not use such knowledge to deal with the current and future situations&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">Tele-ICU&#46; It was born as a response to the lack of intensivists in order to support units lacking specialists or with part-time specialists&#44; not to replace physical beds at the ICU&#46; Technological advances have exceeded their use as an element of equality thanks to the possibility of remote intercommunications among different units with different degrees of knowledge and experiences&#46; This allows very complex patients hospitalized in smaller and polyvalent units to benefit from the experience gained in more specialized units&#46;<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a> Similarly&#44; 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Letter to the Editor
Covid-19 pandemic and digital transformation in critical care units
Pandemia de Covid-19 y transformación digital en Cuidados Intensivos
F. Murillo-Cabezasa,
Corresponding author
, E. Vigil-Martínb, N. Raimondic, J. Pérez-Fernándezd
a Hospital Universitario Virgen del Rocío, IBIS/CSIC/Universidad de Sevilla, Sevilla, Spain
b Director Médico de Everis Health, Spain
c Unidad de Terapia intensiva, Hospital Juan A. Fernández, Buenos Aires, Argentina
d Servicios de Cuidados Críticos, Baptist Hospital of Miami, Florida, USA
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    "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">To the Director&#44;</span></p><p id="par0010" class="elsevierStylePara elsevierViewall">Over the last few decades&#44; the healthcare system has faced serious health crisis like the toxic syndrome or the H1N1 virus epidemic until the current COVID-19 pandemic&#46; All of these crises share common features like uncertainty and a sensation of panic&#59; also&#44; the huge number of people affected by them&#8212;most of them mildly affected&#8212;puts the efficacy and organization of the entire healthcare system to the test&#46; Also&#44; a high percentage of these patients requires hospitalization due to acute hypoxemic respiratory failure&#46; Up to 10&#37; of these patients can end up requiring intensive care unit &#40;ICU&#41; admission&#46; This requires more critical beds&#44; electromedical resources&#44; and skilled personnel available to cover these needs&#46; Buying ventilators is a huge economic effort&#46; However&#44; increasing the number of critical beds or having more personnel is not easy to improvise&#46; On the other hand&#44; studies like the CESAR trial<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> confirmed that mortality rate is lower when the patient is treated in a specialized ICU with a high volume of admissions&#46; In the light of the current situation&#44; modern technology based on digital transformation can help&#46; What are the benefits we could expect from information systems at the ICU setting&#63;</p><p id="par0015" class="elsevierStylePara elsevierViewall">The most important one is improving healthcare for the patients&#46; Obtaining huge amounts of clinical&#44; radiological&#44; and laboratory data&#8212;without manual intervention&#8212;in a complete&#44; reliable&#44; shared&#44; and real-time way speeds up the therapeutic decision-making process and does so in an even safer way&#46; Also&#44; it allows us to assess the impact and safety of the therapeutic approach used&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">It also reduces the nursing team workload and the elements of contagion&#46; Electronic charts and checklists filled in through real-time automatic data mining avoid errors of data transcription and allow nurses to dedicate more time to the patients&#46; Also&#44; suppressing paper and other devices eliminates possible sources of infection&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">Acquisition of new knowledge&#46; One of the characteristics of the current COVID-19 pandemic is not knowing the natural history of the disease&#46; Big Data techniques are essential here too to facilitate the creation of patients&#8217; profiles including their individual traits&#44; anticipate the progression of the disease&#44; and predict the possible responses to the different therapeutic approaches used&#46;<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a> However&#44; we should remember that Big Data means having a great amount of reliable and exploitable data&#46; This is impossible without computer applications specifically designed the ICU setting&#46; It seems counterintuitive to not use such knowledge to deal with the current and future situations&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">Tele-ICU&#46; It was born as a response to the lack of intensivists in order to support units lacking specialists or with part-time specialists&#44; not to replace physical beds at the ICU&#46; Technological advances have exceeded their use as an element of equality thanks to the possibility of remote intercommunications among different units with different degrees of knowledge and experiences&#46; This allows very complex patients hospitalized in smaller and polyvalent units to benefit from the experience gained in more specialized units&#46;<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a> Similarly&#44; these systems can turn other hospital areas into critical and semi-critical areas supervised by expert personnel in a model of <span class="elsevierStyleItalic">ICU without walls</span>&#46;<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a></p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Funding</span><p id="par0035" class="elsevierStylePara elsevierViewall">No private or public funding was received&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Conflicts of interest</span><p id="par0040" class="elsevierStylePara elsevierViewall">None reported&#46;</p></span></span>"
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ISSN: 21735727
Original language: English
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