Literature DB >> 35419525

Optimizing the Electronic Health Record for Clinical Research: Has the Time Come?

Michelle N Rheault1.   

Abstract

Entities:  

Keywords:  clinical nephrology; computable phenotype; electronic health record

Mesh：

Year:  2021        PMID： 35419525      PMCID： PMC8986040          DOI： 10.34067/KID.0007052021

Source DB:  PubMed          Journal:  Kidney360        ISSN： 2641-7650


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  5 in total

1.  Development of the electronic health record.

Authors:  Jim Atherton
Journal:  Virtual Mentor       Date:  2011-03-01

2.  International statistical classification of diseases and related health problems coding underestimates the incidence and prevalence of acute kidney injury and chronic kidney disease in general medical patients.

Authors:  Soe Ko; Sudharsan Venkatesan; Kushma Nand; Vicki Levidiotis; Craig Nelson; Edward Janus
Journal:  Intern Med J       Date:  2018-03       Impact factor: 2.048

3.  Identifying Patients with Rare Disease Using Electronic Health Record Data: The Kaiser Permanente Southern California Membranous Nephropathy Cohort.

Authors:  Amy Z Sun; Yu-Hsiang Shu; Teresa N Harrison; Aviv Hever; Steven J Jacobsen; Michelle M O'Shaughnessy; John J Sim
Journal:  Perm J       Date:  2020-02-07

4.  Challenges in conducting clinical trials in nephrology: conclusions from a Kidney Disease-Improving Global Outcomes (KDIGO) Controversies Conference.

Authors:  Colin Baigent; William G Herrington; Josef Coresh; Martin J Landray; Adeera Levin; Vlado Perkovic; Marc A Pfeffer; Peter Rossing; Michael Walsh; Christoph Wanner; David C Wheeler; Wolfgang C Winkelmayer; John J V McMurray
Journal:  Kidney Int       Date:  2017-08       Impact factor: 10.612

5.  Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research.

Authors:  Jihoon Kim; Hyeoneui Kim; Elizabeth Bell; Tyler Bath; Paulina Paul; Anh Pham; Xiaoqian Jiang; Kai Zheng; Lucila Ohno-Machado
Journal:  JAMA Netw Open       Date:  2019-08-02
  5 in total

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