BackgroundMedical 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.MethodsCombinatorial 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.ResultsA 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.ConclusionsOur 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.

Abstract. Real-world medical decisions rarely involve binary sole condition present or absentpatterns of patient pathophysiology. Similarly, provider interventions are rarely unitary in nature: the clinician often undertakes multiple interventions simultaneously. Conventional approaches towards complex physiologic derangements and their associated management focus on the frequencies of joint appearances, treating the individual derangements of physiology or elements of intervention as conceptually isolated. This framework is ill suited to capture either the integrated patterns of derangement displayed by a particular patient or the integrated patterns of provider intervention. Here we illustrate the application of a different approach-that of symbolic dynamics-in which the integrated pattern of each patients derangement, and the associated provider response, are captured by defining words based on the elements of the pattern of failure. We will use as an example provider practices in the context of mechanical ventilation-a common, potentially harmful, and complex life support technology. We also delineate other domains in which symbolic dynamics approaches might aid in quantitating practice patterns, assessing quality of care, and identifying best practices.

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