Article

Clinical and financial outcomes analysis with existing hospital patient records

Authors:

Sathyakama Sandilya,

Radu Stefan Niculescu,

Harsha RaoAuthors Info & Claims

KDD '03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Pages 416 - 425

https://doi.org/10.1145/956750.956798

Published: 24 August 2003 Publication History

Abstract

Existing patient records are a valuable resource for automated outcomes analysis and knowledge discovery. However, key clinical data in these records is typically recorded in unstructured form as free text and images, and most structured clinical information is poorly organized. Time-consuming interpretation and analysis is required to convert these records into structured clinical data. Thus, only a tiny fraction of this resource is utilized. We present REMIND, a Bayesian Framework for Reliable Extraction and Meaningful Inference from Nonstructured Data. REMIND integrates and blends the structured and unstructured clinical data in patient records to automatically created high-quality structured clinical data. This structuring allows existing patient records to be mined for quality assurance, regulatory compliance, and to relate financial and clinical factors. We demonstrate REMIND on two medical applications: (a) Extract "recurrence", the key outcome for measuring treatment effectiveness, for colon cancer patients (ii) Extract key diagnoses and complications for acute myocardial infarction (heart attack) patients, and demonstrate the impact of these clinical factors on financial outcomes.

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Cited By

Arifoğlu DDeniz OAleçakır KYöndem M(2014)CodeMagic: Semi-Automatic Assignment of ICD-10-AM Codes to Patient RecordsInformation Sciences and Systems 201410.1007/978-3-319-09465-6_27(259-268)Online publication date: 25-Sep-2014
https://doi.org/10.1007/978-3-319-09465-6_27
Benferhat SBoudjelida ATabia KDrias H(2013)An intrusion detection and alert correlation approach based on revising probabilistic classifiers using expert knowledgeApplied Intelligence10.1007/s10489-012-0383-738:4(520-540)Online publication date: 1-Jun-2013
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Goldstein IUzuner Ö(2010)Does negation really matter?Proceedings of the Workshop on Negation and Speculation in Natural Language Processing10.5555/1858959.1858963(23-27)Online publication date: 10-Jul-2010
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Index Terms

Clinical and financial outcomes analysis with existing hospital patient records
1. Information systems
  1. Information systems applications

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Published In

cover image ACM Conferences

KDD '03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

August 2003

736 pages

ISBN:1581137370

DOI:10.1145/956750

Conference Chair:
Lise Getoor
University of Maryland, College Park
,
General Chair:
Ted Senator
DARPA
,
Program Chairs:
Pedro Domingos
University of Washington
,
Christos Faloutsos
Carnegie Mellon University

Copyright © 2003 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 24 August 2003

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KDD03: The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

August 24 - 27, 2003

Washington, D.C.

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KDD '03 Paper Acceptance Rate 46 of 298 submissions, 15%;

Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

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https://doi.org/10.1007/978-3-319-09465-6_27
Benferhat SBoudjelida ATabia KDrias H(2013)An intrusion detection and alert correlation approach based on revising probabilistic classifiers using expert knowledgeApplied Intelligence10.1007/s10489-012-0383-738:4(520-540)Online publication date: 1-Jun-2013
https://dl.acm.org/doi/10.1007/s10489-012-0383-7
Goldstein IUzuner Ö(2010)Does negation really matter?Proceedings of the Workshop on Negation and Speculation in Natural Language Processing10.5555/1858959.1858963(23-27)Online publication date: 10-Jul-2010
https://dl.acm.org/doi/10.5555/1858959.1858963
Goldstein IUzuner Ö(2009)Specializing for predicting obesity and its co-morbiditiesJournal of Biomedical Informatics10.1016/j.jbi.2008.11.00142:5(873-886)Online publication date: 1-Oct-2009
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Yucesoy BOguducu S(2007)Comparison of Semantic and Single Term Similarity Measures for Clustering Turkish DocumentsProceedings of the Sixth International Conference on Machine Learning and Applications10.1109/ICMLA.2007.32(393-398)Online publication date: 13-Dec-2007
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Niculescu RMitchell TRao R(2006)Bayesian Network Learning with Parameter ConstraintsThe Journal of Machine Learning Research10.5555/1248547.12485977(1357-1383)Online publication date: 1-Dec-2006
https://dl.acm.org/doi/10.5555/1248547.1248597
Rao RKrishnan SNiculescu R(2006)Data mining for improved cardiac careACM SIGKDD Explorations Newsletter10.1145/1147234.11472368:1(3-10)Online publication date: 1-Jun-2006
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Chen JHe HJin HMcAullay DWilliams GKelman C(2006)Identifying Risk Groups Associated with Colorectal CancerData Mining10.1007/11677437_20(260-272)Online publication date: 2006
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McAullay DWilliams GChen JJin HHe HSparks RKelman C(2005)A delivery framework for health data mining and analyticsProceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 3810.5555/1082161.1082203(381-387)Online publication date: 1-Jan-2005
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