<?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>2026-09-18T18:19:36Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/58179" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/58179</identifier><datestamp>2022-01-13T07:53:45Z</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">T. Forcht Dagi and Ernst R. Berndt.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Crawford, William Charles Richards</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Harvard University--MIT Division of Health Sciences and Technology.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Harvard University--MIT Division of Health Sciences and Technology</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2010-09-02T14:54:23Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2010-09-02T14:54:23Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2010</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2010</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/58179</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">635587274</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2010.</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 (p. 56-58).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this thesis I have developed a map of Healthcare Information Technology applications used in the United States for care delivery, healthcare enterprise management, clinical support, research and patient engagement. No attempt has previously been made to develop such a taxonomy for use by healthcare policy makers and on-the-spot decision makers. Using my own fifteen years of experience in HIT, along with an extensive set of literature reviews, interviews and on-site research I assembled lists of applications and organized them into categories based on primary workflows. Seven categories of HIT systems emerged, which are Practice Tools, Advisory Tools, Financial Tools, Remote Healthcare Tools, Clinical Research Tools, Health 2.0 Tools and Enterprise Clinical Analytics, each of which have different operational characteristics and user communities. The results of this pilot study demonstrate that a map is possible. The draft map presented here will allow researchers and investors to focus on developing the next generation of HIT tools, including software platforms that orchestrate a variety of healthcare transactions, and will support policy makers as they consider the impact of Federal funding for HIT deployment and adoption. Further studies will refine the map, adding an additional level of detail below the seven categories established here, thus supporting tactical decision making at the hospital and medical practice level.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by William Charles Richards Crawford.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">58 p.</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">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about 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">Harvard University--MIT Division of Health Sciences and Technology.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Mapping healthcare information technology</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Mapping healthcare IT</dim:field>
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   	&lt;Title>Mapping healthcare information technology&lt;/Title>
   	&lt;Subtitle>Mapping healthcare IT&lt;/Subtitle>
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   	&lt;PublicationDate>2010&lt;/PublicationDate>
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    &lt;Keyword>Harvard University--MIT Division of Health Sciences and Technology.&lt;/Keyword>
   	&lt;Abstract>In this thesis I have developed a map of Healthcare Information Technology applications used in the United States for care delivery, healthcare enterprise management, clinical support, research and patient engagement. No attempt has previously been made to develop such a taxonomy for use by healthcare policy makers and on-the-spot decision makers. Using my own fifteen years of experience in HIT, along with an extensive set of literature reviews, interviews and on-site research I assembled lists of applications and organized them into categories based on primary workflows. Seven categories of HIT systems emerged, which are Practice Tools, Advisory Tools, Financial Tools, Remote Healthcare Tools, Clinical Research Tools, Health 2.0 Tools and Enterprise Clinical Analytics, each of which have different operational characteristics and user communities. The results of this pilot study demonstrate that a map is possible. The draft map presented here will allow researchers and investors to focus on developing the next generation of HIT tools, including software platforms that orchestrate a variety of healthcare transactions, and will support policy makers as they consider the impact of Federal funding for HIT deployment and adoption. Further studies will refine the map, adding an additional level of detail below the seven categories established here, thus supporting tactical decision making at the hospital and medical practice level.&lt;/Abstract>
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