Parameterizing time in electronic health record studies

Journal of the American Medical Informatics Association : JAMIA
George HripcsakAdler Perotte

Abstract

Fields like nonlinear physics offer methods for analyzing time series, but many methods require that the time series be stationary-no change in properties over time.Objective Medicine is far from stationary, but the challenge may be able to be ameliorated by reparameterizing time because clinicians tend to measure patients more frequently when they are ill and are more likely to vary. We compared time parameterizations, measuring variability of rate of change and magnitude of change, and looking for homogeneity of bins of temporal separation between pairs of time points. We studied four common laboratory tests drawn from 25 years of electronic health records on 4 million patients. We found that sequence time-that is, simply counting the number of measurements from some start-produced more stationary time series, better explained the variation in values, and had more homogeneous bins than either traditional clock time or a recently proposed intermediate parameterization. Sequence time produced more accurate predictions in a single Gaussian process model experiment. Of the three parameterizations, sequence time appeared to produce the most stationary series, possibly because clinicians adjust their sampling to the acuity of the p...Continue Reading

Associated Clinical Trials

Apr 11, 2019·Sarah Collins Rossetti

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Citations

Aug 9, 2016·Journal of the American Medical Informatics Association : JAMIA·Kirk RobertsPatricia Flatley Brennan
Jul 22, 2016·BMC Neurology·Trevor SughrueJames P Brody
Feb 2, 2018·Health Informatics Journal·Andrew P Reimer, Elizabeth A Madigan
Oct 19, 2017·Journal of the American Medical Informatics Association : JAMIA·George Hripcsak, David J Albers
Jul 23, 2020·NPJ Digital Medicine·Alison CallahanNigam H Shah
Dec 19, 2020·The Journal of Allergy and Clinical Immunology·Komal PeerM Patricia Fabian
Feb 12, 2019·Journal of Biomedical Informatics·Ioakeim PerrosJimeng Sun
Feb 19, 2021·NPJ Digital Medicine·Alison CallahanNigam H Shah
Mar 23, 2021·Journal of Biomedical Informatics·Thomas FertéBoris P Hejblum
Feb 23, 2021·Journal of Biomedical Informatics·Rui MengPriyadip Ray

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