<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-21T01:47:35Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/122867" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/122867</identifier><datestamp>2026-06-06T00:49:00Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Amar Gupta.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Dshkhunyan, Narek.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2019-11-12T17:40:13Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-11-12T17:40:13Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/122867</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1126542791</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 63-64).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Telemedicine is an exciting development at the intersection of technology and medicine, which promises to improve health care systems and alleviate the workload on doctors and nurses alike at hospital intensive care units. While much work has been done on assessing the benefits of telemedicine compared to traditional approaches, we do not know which are the characteristics of patients that will benefit most from the introduction of tele-ICU systems in hospitals. In this thesis, we analyzed two large databases that contain plethora of deidentified health records about patients treated in traditional and tele-ICU hospitals, named MIMIC and eICU-CRD, respectively. By comparing key patient outcomes such as length of stay and mortality, and running sophisticated statistical methods, we identified certain traits of admitted patients that constantly benefit more from the presence of eICU than other patients. We hope that this work will help hospitals around the country and the world as they are preparing their facilites for the new generation of technologies.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Narek Dshkhunyan.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">64 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Telemedicine systems at intensive care units : identifying patients that benefit most</dim:field>
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   	&lt;Title>Telemedicine systems at intensive care units : identifying patients that benefit most&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>Telemedicine is an exciting development at the intersection of technology and medicine, which promises to improve health care systems and alleviate the workload on doctors and nurses alike at hospital intensive care units. While much work has been done on assessing the benefits of telemedicine compared to traditional approaches, we do not know which are the characteristics of patients that will benefit most from the introduction of tele-ICU systems in hospitals. In this thesis, we analyzed two large databases that contain plethora of deidentified health records about patients treated in traditional and tele-ICU hospitals, named MIMIC and eICU-CRD, respectively. By comparing key patient outcomes such as length of stay and mortality, and running sophisticated statistical methods, we identified certain traits of admitted patients that constantly benefit more from the presence of eICU than other patients. We hope that this work will help hospitals around the country and the world as they are preparing their facilites for the new generation of technologies.&lt;/Abstract>
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