Electronic medical records: a path forward.

Next-generation phenotyping of electronic health records

The national adoption of electronic health records (EHR) promises to make an unprecedented amount of data available for clinical research, but the data are complex, inaccurate, and frequently missing, and the record reflects complex processes aside from the patient's physiological state. We believe that the path forward requires studying the EHR as an object of interest in itself, and that new ...

How to Standardize Electronic Medical Records

Introduction: One of the key elements of success of health institutions is Standardization. This study introduces the methods and stages of electronic medical records standardization. Methods: The present study is a narrative review of the studies on the stages and methods of electronic medical records standardization. Results: The process of standardization of electronic medical records incl...

The Wellcome Trust Report: moving forward the use of general practice electronic patient records for research.

Electronic medical records: the way forward for primary care research?

Web - based Supplementary Materials for “ A joint model for multistate disease processes and random informative observation times , with applications to electronic medical records data ”

We use the abbreviation x1:k for x1, . . . , xk, o1:k for o1, . . . ok, h1:k for h1, . . . , hk. The sequence of DDO times up to observation time tk is denoted τ (1, k) = {ti : hi = 1, i = 1, . . . , k}. Forward functions are defined as αtk(u) = P [o1:k, τ (1, k),h1:k, Xk = u] and backward functions as βtk(u) = P[ok+1:n, τ (k + 1, n),hk+1:n|Xk = u]. The forward function is initialized with αt1(...