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Medical practices display power law behaviors similar to spoken languages

Paladino, JD and Crooke, PS and Brackney, CR and Kaynar, AM and Hotchkiss, JR (2013) Medical practices display power law behaviors similar to spoken languages. BMC Medical Informatics and Decision Making, 13 (1).

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Abstract

Background: Medical care commonly involves the apprehension of complex patterns of patient derangements to which the practitioner responds with patterns of interventions, as opposed to single therapeutic maneuvers. This complexity renders the objective assessment of practice patterns using conventional statistical approaches difficult. Methods. Combinatorial approaches drawn from symbolic dynamics are used to encode the observed patterns of patient derangement and associated practitioner response patterns as sequences of symbols. Concatenating each patient derangement symbol with the contemporaneous practitioner response symbol creates "words" encoding the simultaneous patient derangement and provider response patterns and yields an observed vocabulary with quantifiable statistical characteristics. Results: A fundamental observation in many natural languages is the existence of a power law relationship between the rank order of word usage and the absolute frequency with which particular words are uttered. We show that population level patterns of patient derangement: practitioner intervention word usage in two entirely unrelated domains of medical care display power law relationships similar to those of natural languages, and that-in one of these domains-power law behavior at the population level reflects power law behavior at the level of individual practitioners. Conclusions: Our results suggest that patterns of medical care can be approached using quantitative linguistic techniques, a finding that has implications for the assessment of expertise, machine learning identification of optimal practices, and construction of bedside decision support tools. © 2013 Paladino et al.; licensee BioMed Central Ltd.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Paladino, JD
Crooke, PS
Brackney, CRCRB88@pitt.eduCRB88
Kaynar, AMkaynar@pitt.eduAMK96
Hotchkiss, JRjrh39@pitt.eduJRH39
Date: 6 September 2013
Date Type: Publication
Journal or Publication Title: BMC Medical Informatics and Decision Making
Volume: 13
Number: 1
DOI or Unique Handle: 10.1186/1472-6947-13-102
Schools and Programs: School of Medicine > Critical Care Medicine
Refereed: Yes
Date Deposited: 02 Dec 2016 15:01
Last Modified: 30 Oct 2018 14:00
URI: http://d-scholarship.pitt.edu/id/eprint/29685

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