<?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>2026-09-23T17:57:26Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/111222" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/111222</identifier><datestamp>2022-01-31T17:25:17Z</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">Joseph F. Coughlin.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Psyhojos, Marika A</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Technology and Policy Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Engineering Systems Division</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Institute for Data, Systems, and Society</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Technology and Policy Program</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2017-09-15T14:20:00Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2017-09-15T14:20:00Z</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">http://hdl.handle.net/1721.1/111222</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1003283811</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2017.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 146-156).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Aging is an increasingly disruptive force in the US -- nearly 1 in 5 Americans will be at least 65 years old by 2030. Largely due to the high incidence of chronic disease among older adults, health care spending is larger in magnitude for older adults than it is for any other age group. To treat older adults and reduce the prevalence of chronic disease more effectively and efficiently, health professionals may likely incorporate patient-generated health data (PGHD) from the Internet of Things (IoT). IoT devices can help providers to evaluate treatment options, compliance, and overall patient well-being. Critics of PGHD integration in the health care space cite challenges such as poor interoperability of devices and electronic health record systems, a lack of standards, a host of liability concerns, workflow interruptions, and a lack of reimbursement models. There is little research, however, that explores how the inclusion and analysis of PGHD may affect provider empathy and the physician-patient relationship. We were interested in understanding how the integration of wearables, smart devices, and other connected health devices would affect the physician-patient (or provider-patient) relationship and how those changes might affect both providers and patient health and well-being. We conducted two surveys, one of health care providers and one of patients, to understand current and expected uses of connected health devices to examine how the collection and analysis of PGHD will affect provider empathy and the physician-patient relationship. We subsequently examine across different age groups, how the provision of health care and individual health management is projected to change as a result of PGHD analysis. Finally, we evaluate the socio-technical barriers to connected health devices and discuss the entities which could successfully mitigate these barriers, as perceived by health care providers and patients.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Marika A. Psyhojos.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Technology and Policy</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">156 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">Institute for Data, Systems, and Society.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Engineering Systems Division.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Technology and Policy Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Aging, empathy, and the Internet of Things : a measure of physician readiness to treat older adults</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Aging, empathy, and the IoT : a measure of physician readiness to treat older adults</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Measure of physician readiness to treat older adults</dim:field>
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   	&lt;Title>Aging, empathy, and the Internet of Things : a measure of physician readiness to treat older adults&lt;/Title>
   	&lt;Subtitle>Aging, empathy, and the IoT : a measure of physician readiness to treat older adults&lt;/Subtitle>
   	&lt;Subtitle>Measure of physician readiness to treat older adults&lt;/Subtitle>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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        	&lt;DisplayName>Psyhojos, Marika A&lt;/DisplayName>
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   	&lt;Abstract>Aging is an increasingly disruptive force in the US -- nearly 1 in 5 Americans will be at least 65 years old by 2030. Largely due to the high incidence of chronic disease among older adults, health care spending is larger in magnitude for older adults than it is for any other age group. To treat older adults and reduce the prevalence of chronic disease more effectively and efficiently, health professionals may likely incorporate patient-generated health data (PGHD) from the Internet of Things (IoT). IoT devices can help providers to evaluate treatment options, compliance, and overall patient well-being. Critics of PGHD integration in the health care space cite challenges such as poor interoperability of devices and electronic health record systems, a lack of standards, a host of liability concerns, workflow interruptions, and a lack of reimbursement models. There is little research, however, that explores how the inclusion and analysis of PGHD may affect provider empathy and the physician-patient relationship. We were interested in understanding how the integration of wearables, smart devices, and other connected health devices would affect the physician-patient (or provider-patient) relationship and how those changes might affect both providers and patient health and well-being. We conducted two surveys, one of health care providers and one of patients, to understand current and expected uses of connected health devices to examine how the collection and analysis of PGHD will affect provider empathy and the physician-patient relationship. We subsequently examine across different age groups, how the provision of health care and individual health management is projected to change as a result of PGHD analysis. Finally, we evaluate the socio-technical barriers to connected health devices and discuss the entities which could successfully mitigate these barriers, as perceived by health care providers and patients.&lt;/Abstract>
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