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<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><b><u><font size="3" face="Calibri"><a></a><b><u><font size="3" face="Calibri">CFP</font></u></b> 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="Calibri">http://amcis2013.aisnet.org/index.php?option=com_content&view=article&id=61&Itemid=58</font></b></a><b><u><font size="3"><font face="Calibri">
)
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<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><b><font size="3"><font face="Calibri">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 size="3"><font face="Calibri"><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 size="3"><font face="Calibri"><b>IMPORTANT DATES</b><o:p></o:p></font></font></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font size="3" face="Calibri">Jan 4, 2013 Paper submissions open via
</font><a href="http://aisel.aisnet.org/amcis2013/"><font color="#0000ff" size="3" face="Calibri">http://aisel.aisnet.org/amcis2013/</font></a><font size="3" face="Calibri">
<br>
<b style="mso-bidi-font-weight: normal"><i style="mso-bidi-font-style: normal"><span style="BACKGROUND: yellow; mso-highlight: yellow">Feb 22, 2013 Paper submissions deadline 11:59 p.m. Eastern Time</span></i></b><br>
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="Calibri">http://amcis2013.aisnet.org/</font></span></a><font size="3"><font face="Calibri">.<o:p></o:p></font></font></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><b style="mso-bidi-font-weight: normal"><font face="Calibri"><font size="3">DESCRIPTION<o:p></o:p></font></font></b></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font face="Calibri"><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="Calibri"><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="Calibri"><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="Calibri"><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">
<span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore"><font size="3">·</font><span style="FONT: 7pt 'Times New Roman'">
</span></span></span><font size="3"><font face="Calibri">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">
<span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore"><font size="3">·</font><span style="FONT: 7pt 'Times New Roman'">
</span></span></span><font size="3"><font face="Calibri">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">
<span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore"><font size="3">·</font><span style="FONT: 7pt 'Times New Roman'">
</span></span></span><font size="3"><font face="Calibri">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">
<span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore"><font size="3">·</font><span style="FONT: 7pt 'Times New Roman'">
</span></span></span><font size="3"><font face="Calibri">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">
<span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore"><font size="3">·</font><span style="FONT: 7pt 'Times New Roman'">
</span></span></span><font size="3"><font face="Calibri">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">
<span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore"><font size="3">·</font><span style="FONT: 7pt 'Times New Roman'">
</span></span></span><font size="3"><font face="Calibri">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">
<span style="FONT-FAMILY: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol"><span style="mso-list: Ignore"><font size="3">·</font><span style="FONT: 7pt 'Times New Roman'">
</span></span></span><font size="3"><font face="Calibri">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 size="3"><font face="Calibri">MINI-TRACK CHAIRS<o:p></o:p></font></font></b></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font size="3" face="Calibri">Iris Junglas<a></a>, Florida State University, </font><font color="#0000ff" size="3" face="Calibri"><a href="mailto:ijunglas@cob.fsu.edu"><font color="#0000ff" size="3" face="Calibri">ijunglas@cob.fsu.edu</font></a><a></a></font><font size="3"><font face="Calibri">
<o:p></o:p></font></font></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font size="3" face="Calibri">Chon Abraham, College of William and Mary, </font><font color="#0000ff" size="3" face="Calibri"><a href="mailto:chon.abraham@mason.wm.edu"><font color="#0000ff" size="3" face="Calibri">chon.abraham@mason.wm.edu</font></a><a></a></font><font size="3"><font face="Calibri"> <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 size="3"><font face="Calibri">TRACK CHAIR<o:p></o:p></font></font></b></p>
<p style="MARGIN: 0in 0in 10pt" class="MsoNormal"><font size="3" face="Calibri">Yang Lee, MIT and Northeastern University, </font><font color="#0000ff" size="3" face="Calibri"><a href="mailto:y.lee@neu.edu"><font color="#0000ff" size="3" face="Calibri">y.lee@neu.edu</font></a><a></a></font><font size="3" face="Calibri">
or </font><font color="#0000ff" size="3" face="Calibri"><a href="mailto:ylee@mit.edu"><font color="#0000ff" size="3" face="Calibri">ylee@mit.edu</font></a><a></a></font><font size="3"><font face="Calibri">
<o:p></o:p></font></font></p>
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