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<p><span style="font-family: arial, sans-serif; font-size: 13px;"><div style="word-wrap: break-word;"><div style="font-family: Calibri, sans-serif; font-size: 14px;">IEEE VIS 2014</div><div style="font-family: Calibri, sans-serif; font-size: 14px;">http://ieeevis.org</div><div style="font-family: Calibri, sans-serif; font-size: 14px;">Paris, France</div><div style="font-family: Calibri, sans-serif; font-size: 14px;"> </div><div style="font-family: Calibri, sans-serif; font-size: 14px;">JOIN US on <span data-term="goog_1421206348" tabindex="0">Sunday NOVEMBER 9</span> for papers, demos, and lively discussions!</div></div></span></p><div style="font-family: arial, sans-serif; font-size: 13px;"> </div><p><span style="font-family: arial, sans-serif; font-size: 13px;"><div style="word-wrap: break-word;"><div style="font-family: Calibri, sans-serif; font-size: 14px;">The agenda of the <span style="color: rgb(80, 0, 80); font-family: arial, sans, sans-serif; font-size: 13px;">Visualizing Electronic Health Record Data </span>workshop has been posted: <a href="http://www.cs.umd.edu/hcil/parisehrvis" target="_blank" style="color: rgb(17, 85, 204); font-family: arial, sans, sans-serif; font-size: 13px;">http://www.cs.umd.edu/<wbr></wbr>hcil/parisehrvis</a></div><div><div id=":50g" role="button" tabindex="0" aria-label="Hide expanded content" data-tooltip="Hide expanded content"><img src="https://ssl.gstatic.com/ui/v1/icons/mail/images/cleardot.gif" alt="" /></div></div><div style="font-family: Calibri, sans-serif; font-size: 14px;"> </div><div><span style="font-family: Calibri, sans-serif; font-size: 14px;"><div style="word-wrap: break-word;"><div><span style="font-family: arial, sans, sans-serif; font-size: 13px;"><span class="im" style="color: rgb(80, 0, 80);">------------------------------<wbr></wbr>------------------------------<wbr></wbr>-----------<br />Visualizing Electronic Health Record Data (Workshop)<br />------------------------------<wbr></wbr>------------------------------<wbr></wbr>-----------<br /><br />A workshop of the IEEE VIS 2014 Conference <br /><br /></span><span class="im" style="color: rgb(80, 0, 80);">Catherine Plaisant, Silvia Miksch, Theresia Gschwandtner, Sana Malik<br /><br /></span><span class="im" style="color: rgb(80, 0, 80);">Electronic Health Record (EHR) databases contain millions of patient records including events such as diagnoses, test results, or medication prescriptions. These records are an invaluable data source for clinical research and improvement of clinical quality, as they provide longitudinal health information about patient populations. The use of EHR databases could be dramatically improved if easy-to-use interfaces allowed clinical researchers and quality improvement analysts to explore complex patterns in order to build and test hypotheses regarding the benefits, risks, and appropriateness of treatments or medication regimens.<br /><br /></span></span></div><span class="im" style="color: rgb(80, 0, 80);"><span style="font-family: arial, sans, sans-serif; font-size: 13px;">See <a href="http://www.cs.umd.edu/hcil/parisehrvis" target="_blank" style="color: rgb(17, 85, 204);">http://www.cs.umd.edu/hcil/<wbr></wbr>parisehrvis</a> for more details</span></span></div><div style="word-wrap: break-word;"><span class="im" style="color: rgb(80, 0, 80);"><span style="font-family: arial, sans, sans-serif; font-size: 13px;"><br /></span></span></div></span></div></div></span></p><BR><hr />Message sent via Atmail Open - http://atmail.org/</HTML>