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Clinical Chemistry and Laboratory Medicine (CCLM)

Published in Association with the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM)

Editor-in-Chief: Plebani, Mario

Ed. by Gillery, Philippe / Lackner, Karl J. / Lippi, Giuseppe / Melichar, Bohuslav / Payne, Deborah A. / Schlattmann, Peter / Tate, Jillian R.

IMPACT FACTOR increased in 2015: 3.017
Rank 5 out of 30 in category Medical Laboratory Technology in the 2014 Thomson Reuters Journal Citation Report/Science Edition

SCImago Journal Rank (SJR) 2015: 0.873
Source Normalized Impact per Paper (SNIP) 2015: 0.982
Impact per Publication (IPP) 2015: 2.238

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A Knowledge-Based System to Aid with the Clinical Interpretation of Complex Serum Protein Data

Robert F. Ritchie

Citation Information: Clinical Chemistry and Laboratory Medicine. Volume 39, Issue 11, Pages 1045–1053, ISSN (Print) 1434-6621, DOI: https://doi.org/10.1515/CCLM.2001.170, June 2005

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In every area of science workers are finding increasing difficulty in managing the volume of available data. In medicine, the accelerating pace has the worrisome overtones of our failing to provide up-to-date care for our patients. In other information-intensive areas, we rely heavily on software that manages much of the complexity unseen. Patient care could benefit enormously from the incorporation of “knowledge-based” programs to aid with diagnosis and management of many disorders. This article describes such a system designed to organize complex data which can be viewed as a test cluster aimed at many disorders pertinent to serum proteins. This program performs complex tasks such as reference range adjustment, ICD-9 code assignment, and searching for diagnostic “signatures”, to generate clinically relevant text and simple graphics. The results have been remarkably accurate and produce repeatable results at the rate of ~10 cases per minute. The reluctance to embrace software assistance in laboratory medicine may have serious consequences in the short term and disastrous results within a decade. Expanding the limited algorithm described here to include more traditional chemistry testing could provide the very assistance that all in clinical care desire, a laboratory tool as powerful and adaptable as the traditional physical exam.

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Kiyoshi Ichihara and Kazutaka Sato
Clinical Chemistry and Laboratory Medicine, 2001, Volume 39, Number 11

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