Researcher Position (IR, LM, DM/TM, NLP) at University of Washington, Information School & VA
"Efthimis N. Efthimiadis" <[email protected]> Sat, 14 Jun 2008 14:41:50 -0700
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--6MrWWUY86CSEfKgsd7QlqpH9BmBFy9-IB9FKMvx Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: quoted-printable Researcher in information retrieval, language modeling, text classification= and mining, and NLP. Information School, University of Washington, Seattle, WA, USA Duration: appointment 12-15 months. Application Deadline: June 30, 2008 Location: Information School, UW, and VA HSR&D offices, both in Seattle, W= A, USA Position Description: We are seeking a Researcher (with background in IR, LM, DM/TM or NLP) for a= project that involves the study of Electronic Medical Records. Please rev= iew the information below and don't hesitate to contact Efthimis Efthimiadi= s ([email protected]) or Ken Hammond ([email protected]) for ad= ditional information. TITLE OF PROJECT: Assessing Information Value in Computerized Patient Care= Documentation Systems 1. BACKGROUND AND PURPOSE OF RESEARCH. Computerized patient care documents (CPD), consisting of progress notes, su= mmaries, and reports documenting medical care are a key part of modern comp= uterized health care information systems. On-line documents are more access= ible and legible than paper records, but the transition to computer systems= has introduced new challenges. Computerized documents differ from traditio= nal documents: document writers may copy text from other documents; ancilla= ry data is frequently inserted automatically; and templates assisting text = entry introduce boilerplate text. Shortcuts aid writing documents but often= result in poor readability and reduce the value of on-line documentation. = Copying can propagate errors and obscure the original source of information= . Data overload is a significant problem: Nationally, Veterans Administrati= on (VA) systems currently store over 700 million patient documents. Individ= ual charts may contain hundreds of documents. Computerized medical record u= sers can be hard pressed to find the specific information they need amid a = flood of potentially useful information, because the time available to retr= ieve information from documentation is constrained. Improved patient records will benefit patients, practitioners, and anyone e= lse who uses them. The objective of this part of the research project is to= analyze and characterize a large dataset of medical records using informat= ion retrieval, language modeling, text classification and mining, and natur= al language approaches. 2. DATA SET The VISN 20 Dataset, consists of approximately 18 million documents belongi= ng to about 80,000 veterans, and has been extracted from computerized recor= ds kept at the VISN 20 data center (Vancouver, WA). The VISN 20 dataset is = available as a SQL Server relational database, and it is located in a secur= e storage network at the HSR&D offices in Seattle. CHARACTERISTIC DUTIES AND RESPONSIBILITIES Required Qualifications * Experience with one or more of the following fields: -- Information Retrieval, -- Natural Language Processing, -- Language Modeling, -- Text Mining, -- Machine Learning * Familiarity with text retrieval software (e.g., Lucene) * Database management using SQL server in a Windows environment * A degree in medical informatics, information science, computer scie= nce, information systems or a related area (We welcome applicants about to finish their thesis). * Experience in managing and supervising software projects; * Excellent programming skills, preferably in Java; * Excellent communication and organization skills * Self-motivated with the ability to take initiative and work indepen= dently * Ambition to produce internationally recognized research output, and * Willingness to collaborate within an interdisciplinary team. Successful Candidates will be required to: * Complete the UW Human Subjects training (http://www.washington.edu/research/hsd/training.html) * Adhere to HIPAA regulations (http://www.hhs.gov/ocr/hipaa) For more information please contact: Efthimis Efthimiadis ([email protected]) or Ken Hammond ([email protected]) To apply: Apply online at: https://uwhires.admin.washington.edu/eng/candidates/default.cfm?szLocation= ID=3D88 Search for requisition - 44457 * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Efthimis N. Efthimiadis <[email protected]> Associate Professor The Information School, University of Washington Suite 370 Mary Gates Hall, Box 352840 Seattle, WA 98195-2840, USA Tel: (off.) 206-616-6077, (sch) 206-685-9937, fax. 206-616-3152 http://facu= lty.washington.edu/efthimis * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * --6MrWWUY86CSEfKgsd7QlqpH9BmBFy9-IB9FKMvx Content-Type: text/html; charset=US-ASCII Content-Transfer-Encoding: 7bit <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd"> <html> <head> </head> <body style="background-color: #ffffff;"> <!--~-|**|PrettyHtmlStartT|**|-~--> <div id="ygrp-mlmsg" style="width:655px; position:relative;"> <div id="ygrp-msg" style="width: 470px; margin:0; padding:0 25px 0 0; float:left; z-index:1;"> <!--~-|**|PrettyHtmlEndT|**|-~--> <div id="ygrp-text"> <p>Researcher in information retrieval, language modeling, text classification and mining, and NLP.<br> <br> Information School, University of Washington, Seattle, WA, USA<br> <br> Duration: appointment 12-15 months.<br> Application Deadline: June 30, 2008<br> Location: Information School, UW, and VA HSR&D offices, both in Seattle, WA, USA<br> <br> Position Description:<br> <br> We are seeking a Researcher (with background in IR, LM, DM/TM or NLP) for a project that involves the study of Electronic Medical Records. Please review the information below and don't hesitate to contact Efthimis Efthimiadis (<a href="mailto:efthimis%40u.washington.edu">[email protected]<wbr>on.edu</a>) or Ken Hammond (<a href="mailto:Kenric.Hammond%40va.gov">Kenric.Hammond@<wbr>va.gov</a>) for additional information.<br> <br> TITLE OF PROJECT: Assessing Information Value in Computerized Patient Care Documentation Systems<br> <br> 1. BACKGROUND AND PURPOSE OF RESEARCH.<br> <br> Computerized patient care documents (CPD), consisting of progress notes, summaries, and reports documenting medical care are a key part of modern computerized health care information systems. On-line documents are more accessible and legible than paper records, but the transition to computer systems has introduced new challenges. Computerized documents differ from traditional documents: document writers may copy text from other documents; ancillary data is frequently inserted automatically; and templates assisting text entry introduce boilerplate text. Shortcuts aid writing documents but often result in poor readability and reduce the value of on-line documentation. Copying can propagate errors and obscure the original source of information. Data overload is a significant problem: National ly, Veterans Administration (VA) systems currently store over 700 million patient documents. Individual charts may contain hundreds of documents. Computerized medical record users can be hard pressed to find the specific information they need amid a flood of potentially useful information, because the time available to retrieve information from documentation is constrained.<br> <br> Improved patient records will benefit patients, practitioners, and anyone else who uses them. The objective of this part of the research project is to analyze and characterize a large dataset of medical records using information retrieval, language modeling, text classification and mining, and natural language approaches.<br> <br> 2. DATA SET<br> <br> The VISN 20 Dataset, consists of approximately 18 million documents belonging to about 80,000 veterans, and has been extracted from computerized records kept at the VISN 20 data center (Vancouver, WA). The VISN 20 dataset is available as a SQL Server relational database, and it is located in a secure storage network at the HSR&D offices in Seattle.<br> <br> CHARACTERISTIC DUTIES AND RESPONSIBILITIES<br> <br> Required Qualifications<br> * Experience with one or more of the following fields:<br> -- Information Retrieval,<br> -- Natural Language Processing,<br> -- Language Modeling,<br> -- Text Mining,<br> -- Machine Learning<br> * Familiarity with text retrieval software (e.g., Lucene)<br> * Database management using SQL server in a Windows environment<br> <br> * A degree in medical informatics, information science, computer science,<br> information systems or a related area<br> (We welcome applicants about to finish their thesis).<br> <br> * Experience in managing and supervising software projects;<br> * Excellent programming skills, preferably in Java;<br> * Excellent communication and organization skills<br> * Self-motivated with the ability to take initiative and work independently<br> * Ambition to produce internationally recognized research output, and<br> * Willingness to collaborate within an interdisciplinary team.<br> <br> Successful Candidates will be required to:<br> * Complete the UW Human Subjects training<br> (<a href="http://www.washington.edu/research/hsd/training.html">http://www.washingt<wbr>on.edu/research/<wbr>hsd/training.<wbr>html</a>)<br> * Adhere to HIPAA regulations<br> (<a href="http://www.hhs.gov/ocr/hipaa">http://www.hhs.<wbr>gov/ocr/hipaa</a>)<br> <br> For more information please contact:<br> <br> Efthimis Efthimiadis (<a href="mailto:efthimis%40u.washington.edu">[email protected]<wbr>on.edu</a>) or<br> Ken Hammond (<a href="mailto:Kenric.Hammond%40va.gov">Kenric.Hammond@<wbr>va.gov</a>)<br> <br> To apply:<br> <br> Apply online at:<br> <a href="https://uwhires.admin.washington.edu/eng/candidates/default.cfm?szLocationID=88">https://uwhires.<wbr>admin.washington<wbr>.edu/eng/<wbr>candidates/<wbr>default.cfm?<wbr>szLocationID=<wbr>88</a><br> <br> Search for requisition - 44457<br> <br> * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *<br> Efthimis N. Efthimiadis <<a href="mailto:efthimis%40u.washington.edu">[email protected]<wbr>on.edu</a>><br> Associate Professor<br> The Information School, University of Washington<br> Suite 370 Mary Gates Hall, Box 352840<br> Seattle, WA 98195-2840, USA<br> Tel: (off.) 206-616-6077, (sch) 206-685-9937, fax. 206-616-3152 <a href="http://faculty.washington.edu/efthimis">http://faculty.<wbr>washington.<wbr>edu/efthimis</a><br> * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *<br> <br> </p> </div> <!--~-|**|PrettyHtmlStart|**|-~--> <span width="1" style="color: white;">__._,_.___</span> <!-- Start the section with Message In topic --> <div id="ygrp-actbar"> <span class="left"> <a href="http://groups.yahoo.com/group/webir/message/2528;_ylc=X3oDMTM0aXFyMGNtBF9TAzk3MzU5NzE0BGdycElkAzEyMzQ1ODUEZ3Jwc3BJZAMxNzA1MDgzMjA2BG1zZ0lkAzI1MjgEc2VjA2Z0cgRzbGsDdnRwYwRzdGltZQMxMjEzNTEwNjg1BHRwY0lkAzI1Mjg-"> Messages in this topic </a> (<span class="bld">1</span>) </span> <a href="http://groups.yahoo.com/group/webir/post;_ylc=X3oDMTJwN21hOXA3BF9TAzk3MzU5NzE0BGdycElkAzEyMzQ1ODUEZ3Jwc3BJZAMxNzA1MDgzMjA2BG1zZ0lkAzI1MjgEc2VjA2Z0cgRzbGsDcnBseQRzdGltZQMxMjEzNTEwNjg1?act=reply&messageNum=2528"> <span class="bld"> Reply </span> (via web post) </a> | <a href="http://groups.yahoo.com/group/webir/post;_ylc=X3oDMTJlZ2lrNzQ2BF9TAzk3MzU5NzE0BGdycElkAzEyMzQ1ODUEZ3Jwc3BJZAMxNzA1MDgzMjA2BHNlYwNmdHIEc2xrA250cGMEc3RpbWUDMTIxMzUxMDY4NQ--" class="bld"> Start a new topic </a> </div> <!------- Start Nav Bar ------> <!-- |**|begin egp html banner|**| --> <div id="ygrp-vitnav"> <a href="http://groups.yahoo.com/group/webir/messages;_ylc=X3oDMTJlcnVlb3ZjBF9TAzk3MzU5NzE0BGdycElkAzEyMzQ1ODUEZ3Jwc3BJZAMxNzA1MDgzMjA2BHNlYwNmdHIEc2xrA21zZ3MEc3RpbWUDMTIxMzUxMDY4NQ--">Messages</a> </div> <!-- |**|end egp html banner|**| --> <div id="ygrp-grft"> </div> <div id="ygrp-mkp"> <div id="hd">MARKETPLACE</div> <div id="ads"> <div class="ad"> <a href="http://us.ard.yahoo.com/SIG=13rfcuo1g/M=624381.12730922.13032918.10835568/D=groups/S=1705083206:MKP1/Y=YAHOO/EXP=1213517885/L=/B=1.HoB0LaX9w-/J=1213510685377927/A=5368227/R=0/SIG=14evd63no/*http://media.adrevolver.com/adrevolver/href?banner=189158&place=26143&url_=http://tc.deals.yahoo.com/tc/blockbuster/display.com?cid=bbi00027">Blockbuster is giving away a free trial of Blockbuster Total Access to smart movie lovers like you.</a> <!--AdRevolver code begin--> <script type="text/javascript"> <!-- var title = 'TITLE'; try { if (title == unescape('%u0054%u0049%u0054%u004C%u0045') && document.title) title = document.title; var https = false; try {https = document.location.href.indexOf('https')==0}catch(e){} document.write('<img width="0" height="0" border="0" src="http' + (https ? 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