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<p><span style="FONT-FAMILY: 'Arial','sans-serif'; FONT-SIZE: 11pt"><b><u><font size="3" face="Times New Roman"><a></a><span style="FONT-FAMILY: 'Arial','sans-serif'; FONT-SIZE: 11pt"><b><u><font size="3" face="Times New Roman">CFP</font></u></b></span> for
Mini-Track at AMCIS<a></a> 2013 (see </font></u></b><a href="http://amcis2013.aisnet.org/index.php?option=com_content&view=article&id=61&Itemid=58"><b><font color="#0000ff" size="3" face="Times New Roman">http://amcis2013.aisnet.org/index.php?option=com_content&view=article&id=61&Itemid=58</font></b></a><b><u><font face="Times New Roman"><font size="3">
)
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<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><b><font face="Times New Roman"><font size="3">TRACK: Data Quality and Information Quality, Special Interest Group Information Quality (SIGIQ<a></a>)<o:p></o:p></font></font></b></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font face="Times New Roman"><font size="3"><b>MINI-TRACK: Exploring Unstructured Data Analytics in Healthcare</b><o:p></o:p></font></font></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font face="Times New Roman"><font size="3"><b>IMPORTANT DATES</b><o:p></o:p></font></font></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font size="3" face="Times New Roman">Jan 4, 2013 Paper submissions open via
</font><a href="http://aisel.aisnet.org/amcis2013/"><font color="#0000ff" size="3" face="Times New Roman">http://aisel.aisnet.org/amcis2013/</font></a><font size="3" face="Times New Roman">
<br>
<font color="#ff0000"><font style="BACKGROUND-COLOR: #ffff00"><b style="mso-bidi-font-weight: normal"><i style="mso-bidi-font-style: normal">Feb 22, 2013 Paper submissions deadline 11:59 p.m. Eastern Time</i></b><br>
</font></font>April 17-19, 2013 Notification of paper acceptance<br>
May 9, 2013 Camera-ready copy of accepted papers due<br>
<br>
Instructions for authors and more information about the conference is available on the conference website at
</font><a href="http://amcis2013.aisnet.org/" target="_blank"><span style="COLOR: blue; mso-themecolor: hyperlink"><font size="3" face="Times New Roman">http://amcis2013.aisnet.org/</font></span></a><font face="Times New Roman"><font size="3">.<o:p></o:p></font></font></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><b style="mso-bidi-font-weight: normal"><font face="Times New Roman"><font size="3">DESCRIPTION<o:p></o:p></font></font></b></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font face="Times New Roman"><font size="3">Organizations are facing an increasing challenge managing and understanding unstructured data. In the healthcare arena, unstructured data is an essential factor in
understanding the quality of information presented in electronic health records, how clinicians translate unstructured textual data and act upon it, or how patients understand, interpret and form opinions about healthcare providers. Social media, or the tools
and platforms with which "individuals and communities create and share user-generated content" (Wikipedia), are thriving and generate a wealth of information in the form of blogs, Twitter feeds, or review sites. Together, the seemingly endless array of consumer-generated
data provides a detailed picture of an organization’s standing in the marketplace. The growing prevalence of social networks, and the role social media plays today, make it necessary for healthcare organizations to "listen" to user-generated information, to
make sense of it, and consequently to act upon it.<o:p></o:p></font></font></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font face="Times New Roman"><font size="3">Analyzing this data is a major challenge due to its unstructured nature, and also because the tools available are in their infancy and have not yet been commonly deployed
in organizations. While there is a wide portfolio of data mining and analysis tools available for structured data, a much smaller variety of options are available for data that are unstructured. Unstructured data require a different analytical approach than
those traditionally employed, and the exploration of standards and quality issues are necessary to consider when studying the healthcare field. Only lately have the semantic algorithms improved to such an extent that making sense of textual data is becoming
a reality. This mini-track will seek to provide an outlet for research and contributions on the effective use of unstructured data analytics in healthcare.<o:p></o:p></font></font></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font face="Times New Roman"><font size="3"><b style="mso-bidi-font-weight: normal">Suggested Topics</b><o:p></o:p></font></font></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font face="Times New Roman"><font size="3">Topics for this mini track could include, but are not limited to, the following:<o:p></o:p></font></font></p>
<p style="TEXT-INDENT: -0.25in; MARGIN: 0in 0in 0pt 0.5in; mso-list: l0 level1 lfo1" class="MsoListParagraphCxSpFirst">
<font face="Times New Roman"><font size="3"><span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore">·<span style="FONT: 7pt 'Times New Roman'">
</span></span></span>Aspects of information quality in healthcare environments, particularly in the context of electronic medical records<o:p></o:p></font></font></p>
<p style="TEXT-INDENT: -0.25in; MARGIN: 0in 0in 0pt 0.5in; mso-list: l0 level1 lfo1" class="MsoListParagraphCxSpMiddle">
<font face="Times New Roman"><font size="3"><span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore">·<span style="FONT: 7pt 'Times New Roman'">
</span></span></span>The various meanings of unstructured data put forth by healthcare providers and/or consumers of services
<o:p></o:p></font></font></p>
<p style="TEXT-INDENT: -0.25in; MARGIN: 0in 0in 0pt 0.5in; mso-list: l0 level1 lfo1" class="MsoListParagraphCxSpMiddle">
<font face="Times New Roman"><font size="3"><span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore">·<span style="FONT: 7pt 'Times New Roman'">
</span></span></span>Sentiment analysis of specific services and products as described by organizational members and patients on social media<o:p></o:p></font></font></p>
<p style="TEXT-INDENT: -0.25in; MARGIN: 0in 0in 0pt 0.5in; mso-list: l0 level1 lfo1" class="MsoListParagraphCxSpMiddle">
<font face="Times New Roman"><font size="3"><span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore">·<span style="FONT: 7pt 'Times New Roman'">
</span></span></span>Relationship between firm performance and unstructured data analytics tools<o:p></o:p></font></font></p>
<p style="TEXT-INDENT: -0.25in; MARGIN: 0in 0in 0pt 0.5in; mso-list: l0 level1 lfo1" class="MsoListParagraphCxSpMiddle">
<font face="Times New Roman"><font size="3"><span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore">·<span style="FONT: 7pt 'Times New Roman'">
</span></span></span>Behavioral and cognitive factors that influence the usage of unstructured data analytics
<o:p></o:p></font></font></p>
<p style="TEXT-INDENT: -0.25in; MARGIN: 0in 0in 0pt 0.5in; mso-list: l0 level1 lfo1" class="MsoListParagraphCxSpMiddle">
<font face="Times New Roman"><font size="3"><span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore">·<span style="FONT: 7pt 'Times New Roman'">
</span></span></span>Demonstrations of unstructured data analytics tools in form of reviews and tutorials<o:p></o:p></font></font></p>
<p style="TEXT-INDENT: -0.25in; MARGIN: 0in 0in 10pt 0.5in; mso-list: l0 level1 lfo1" class="MsoListParagraphCxSpLast">
<font face="Times New Roman"><font size="3"><span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore">·<span style="FONT: 7pt 'Times New Roman'">
</span></span></span>Teaching cases: The usage of unstructured data analytics tools in educational environments<o:p></o:p></font></font></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><b style="mso-bidi-font-weight: normal"><font face="Times New Roman"><font size="3">MINI-TRACK CHAIRS<o:p></o:p></font></font></b></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font size="3" face="Times New Roman">Iris Junglas<a></a>, Florida State University, </font><font color="#0000ff" size="3" face="Times New Roman"><a href="mailto:ijunglas@cob.fsu.edu"><font color="#0000ff" size="3" face="Times New Roman">ijunglas@cob.fsu.edu</font></a><a></a></font><font face="Times New Roman"><font size="3">
<o:p></o:p></font></font></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font size="3" face="Times New Roman">Chon Abraham, College of William and Mary, </font><font color="#0000ff" size="3" face="Times New Roman"><a href="mailto:chon.abraham@mason.wm.edu"><font color="#0000ff" size="3" face="Times New Roman">chon.abraham@mason.wm.edu</font></a><a></a></font><font face="Times New Roman"><font size="3"> <span style="mso-spacerun: yes"> </span><o:p></o:p></font></font></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><b style="mso-bidi-font-weight: normal"><font face="Times New Roman"><font size="3">TRACK CHAIR<o:p></o:p></font></font></b></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font size="3" face="Times New Roman">Yang Lee, MIT and Northeastern University, </font><font color="#0000ff" size="3" face="Times New Roman"><a href="mailto:y.lee@neu.edu"><font color="#0000ff" size="3" face="Times New Roman">y.lee@neu.edu</font></a><a></a></font><font size="3" face="Times New Roman">
or </font><font color="#0000ff" size="3" face="Times New Roman"><a href="mailto:ylee@mit.edu"><font color="#0000ff" size="3" face="Times New Roman">ylee@mit.edu</font></a><a></a></font><font face="Times New Roman"><font size="3">
<o:p></o:p></font></font></p>
<p><font size="3" face="Times New Roman"></font></span> </p>
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