Longitudinal data discontinuity in electronic health records and consequences for medication effectiveness studies

2021 ◽  
Author(s):  
Kueiyu Joshua Lin ◽  
Yinzhu Jin ◽  
Joshua Gagne ◽  
Robert J. Glynn ◽  
Shawn N. Murphy ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Longitudinal Data ◽  
Health Records ◽  
Electronic Health ◽  
Effectiveness Studies ◽  
Data Discontinuity

Functional clustering methods for longitudinal data with application to electronic health records

2020 ◽  
pp. 096228022096563
Author(s):  
Bret Zeldow ◽  
James Flory ◽  
Alisa Stephens-Shields ◽  
Marsha Raebel ◽  
Jason A Roy
Keyword(s):  
Electronic Health Records ◽  
Longitudinal Data ◽  
Mixed Models ◽  
Dirichlet Process ◽  
Dirichlet Process Prior ◽  
Health Records ◽  
Time Points ◽  
Longitudinal Outcome ◽  
Electronic Health ◽  
Baseline Covariates

We develop a method to estimate subject-level trajectory functions from longitudinal data. The approach can be used for patient phenotyping, feature extraction, or, as in our motivating example, outcome identification, which refers to the process of identifying disease status through patient laboratory tests rather than through diagnosis codes or prescription information. We model the joint distribution of a continuous longitudinal outcome and baseline covariates using an enriched Dirichlet process prior. This joint model decomposes into (local) semiparametric linear mixed models for the outcome given the covariates and simple (local) marginals for the covariates. The nonparametric enriched Dirichlet process prior is placed on the regression and spline coefficients, the error variance, and the parameters governing the predictor space. This leads to clustering of patients based on their outcomes and covariates. We predict the outcome at unobserved time points for subjects with data at other time points as well as for new subjects with only baseline covariates. We find improved prediction over mixed models with Dirichlet process priors when there are a large number of covariates. Our method is demonstrated with electronic health records consisting of initiators of second-generation antipsychotic medications, which are known to increase the risk of diabetes. We use our model to predict laboratory values indicative of diabetes for each individual and assess incidence of suspected diabetes from the predicted dataset.

Preparing Electronic Health Records Data for Comparative Effectiveness Studies

2012 ◽  
Author(s):  
Michael G. Kahn ◽  
Lisa M. Schilling ◽  
Bethany M. Kwan ◽  
Aidan Bunting ◽  
Chris Uhrich ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Comparative Effectiveness ◽  
Health Records ◽  
Electronic Health ◽  
Effectiveness Studies

scholarly journals The Emergence of Openness in Open-Source Projects: The Case of OpenEhR

2017 ◽  
Vol 32 (4) ◽  
pp. 361-379 ◽  
Author(s):  
Daniel Curto-Millet ◽  
Maha Shaikh
Keyword(s):  
Electronic Health Records ◽  
Longitudinal Data ◽  
Open Source ◽  
Health Records ◽  
Open Source Project ◽  
Open Process ◽  
Electronic Health

The meaning of openness in open source is both intrinsically unstable and dynamic, and tends to fluctuate with time and context. We draw on a very particular open-source project primarily concerned with building rigorous clinical concepts to be used in electronic health records called openEHR. openEHR explains how openness is a concept that is purposely engaged with, and how, in this process of engagement, the very meaning of open matures and evolves within the project. Drawing on rich longitudinal data related to openEHR we theorise the evolving nature of openness and how this idea emerges through two intertwined processes of maturation and metamorphosis. While metamorphosis allows us to trace and interrogate the mutational evolution in openness, maturation analyses the small, careful changes crafted to build a very particular understanding of openness. Metamorphosis is less managed and controlled, whereas maturation is representative of highly precise work carried out in controlled form. Both processes work together in open-source projects and reinforce each other. Our study reveals that openness emerges and evolves in open-source projects where it can be understood to mean rigour; ability to participate; open implementation; and an open process. Our work contributes to a deepening in the theorisation of what it means to be an open-source project. The multiple and co-existing meanings of ‘open’ imply that open-source projects evolve in nonlinear ways where each critical meaning of openness causes a reflective questioning by the community of its continued status and existence.

scholarly journals Abstract C-B3-02: Algorithm for Real-Time Identification of Blood Pressure Data Entry Errors Using Longitudinal Data From the Electronic Health Records

2008 ◽  
Vol 6 (3-4) ◽  
pp. 124-124
Author(s):  
G. C. Wood ◽  
J. Roy ◽  
N. R. Shah ◽  
J. B. Jones ◽  
H. L. Kirchner ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Electronic Health Records ◽  
Longitudinal Data ◽  
Real Time ◽  
Data Entry ◽  
Pressure Data ◽  
Health Records ◽  
Blood Pressure Data ◽  
Electronic Health ◽  
Real Time Identification

Electronic Health Records Deemed Good for the Earth

2011 ◽  
Vol 9 (6) ◽  
pp. 39
Author(s):  
FRANCES CORREA
Keyword(s):  
Electronic Health Records ◽  
Health Records ◽  
The Earth ◽  
Good For ◽  
Electronic Health

Electronic Health Records: VA Leads the Way

2004 ◽  
Author(s):  
Robert M. Kolodner
Keyword(s):  
Electronic Health Records ◽  
Health Records ◽  
Electronic Health ◽  
The Way

Electronic health records: Context matters!

2016 ◽  
Vol 34 (2) ◽  
pp. 163-165 ◽  
Author(s):  
William B. Ventres ◽  
Richard M. Frankel
Keyword(s):  
Electronic Health Records ◽  
Health Records ◽  
Electronic Health
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