Literature DB >> 25426730

Harmonization of detailed clinical models with clinical study data standards.

G Jiang1, J Evans, T A Oniki, J F Coyle, L Bain, S M Huff, R D Kush, C G Chute.   

Abstract

INTRODUCTION: This article is part of the Focus Theme of METHODS of Information in Medicine on "Managing Interoperability and Complexity in Health Systems".
BACKGROUND: Data sharing and integration between the clinical research data management system and the electronic health record system remains a challenging issue. To approach the issue, there is emerging interest in utilizing the Detailed Clinical Model (DCM) approach across a variety of contexts. The Intermountain Healthcare Clinical Element Models (CEMs) have been adopted by the Office of the National Coordinator awarded Strategic Health IT Advanced Research Projects for normalization (SHARPn) project for normalizing patient data from the electronic health records (EHR).
OBJECTIVE: The objective of the present study is to describe our preliminary efforts toward harmonization of the SHARPn CEMs with CDISC (Clinical Data Interchange Standards Consortium) clinical study data standards.
METHODS: We were focused on three generic domains: demographics, lab tests, and medications. We performed a panel review on each data element extracted from the CDISC templates and SHARPn CEMs.
RESULTS: We have identified a set of data elements that are common to the context of both clinical study and broad secondary use of EHR data and discussed outstanding harmonization issues.
CONCLUSIONS: We consider that the outcomes would be useful for defining new requirements for the DCM modeling community and ultimately facilitating the semantic interoperability between systems for both clinical study and broad secondary use domains.

Entities:  

Keywords:  Clinical Data Interchange Standards Consortium (CDISC); Clinical Information Modeling Initiative (CIMI); Detailed Clinical Model (DCM); clinical study; data standards; electronic health records (EHR)

Mesh:

Year:  2014        PMID: 25426730     DOI: 10.3414/ME13-02-0019

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  15 in total

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2.  Standardized Representation of Clinical Study Data Dictionaries with CIMI Archetypes.

Authors:  Deepak K Sharma; Harold R Solbrig; Eric Prud'hommeaux; Jyotishman Pathak; Guoqian Jiang
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

3.  Solving Interoperability in Translational Health. Perspectives of Students from the International Partnership in Health Informatics Education (IPHIE) 2016 Master Class.

Authors:  Anne M Turner; Julio C Facelli; Monique Jaspers; Thomas Wetter; Daniel Pfeifer; Laël Cranmer Gatewood; Terry Adam; Yu-Chuan Li; Ming-Chin Lin; R Scott Evans; Anna Beukenhorst; Hugo Johan Theodoore van Mens; Esmee Tensen; Christian Bock; Laura Fendrich; Peter Seitz; Julian Suleder; Ranyah Aldelkhyyel; Kent Bridgeman; Zhen Hu; Aaron Sattler; Shin-Yi Guo; Islam Md Mohaimenul Mohaimenul; Dina Nur Anggraini Ningrum; Hsin-Ru Tung; Jiantano Bian; Joseph M Plasek; Casey Rommel; Juandalyn Burke; Harkirat Sohih
Journal:  Appl Clin Inform       Date:  2017-06-20       Impact factor: 2.342

4.  Information Technology for Clinical, Translational and Comparative Effectiveness Research. Findings from the Yearbook 2015 Section on Clinical Research Informatics.

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5.  A Consensus-Based Approach for Harmonizing the OHDSI Common Data Model with HL7 FHIR.

Authors:  Guoqian Jiang; Richard C Kiefer; Deepak K Sharma; Eric Prud'hommeaux; Harold R Solbrig
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6.  Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods.

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Authors:  Ittai Dayan; Holger R Roth; Aoxiao Zhong; Fiona J Gilbert; Mona G Flores; Quanzheng Li; Ahmed Harouni; Amilcare Gentili; Anas Z Abidin; Andrew Liu; Anthony Beardsworth Costa; Bradford J Wood; Chien-Sung Tsai; Chih-Hung Wang; Chun-Nan Hsu; C K Lee; Peiying Ruan; Daguang Xu; Dufan Wu; Eddie Huang; Felipe Campos Kitamura; Griffin Lacey; Gustavo César de Antônio Corradi; Gustavo Nino; Hao-Hsin Shin; Hirofumi Obinata; Hui Ren; Jason C Crane; Jesse Tetreault; Jiahui Guan; John W Garrett; Joshua D Kaggie; Jung Gil Park; Keith Dreyer; Krishna Juluru; Kristopher Kersten; Marcio Aloisio Bezerra Cavalcanti Rockenbach; Marius George Linguraru; Masoom A Haider; Meena AbdelMaseeh; Nicola Rieke; Pablo F Damasceno; Pedro Mario Cruz E Silva; Pochuan Wang; Sheng Xu; Shuichi Kawano; Sira Sriswasdi; Soo Young Park; Thomas M Grist; Varun Buch; Watsamon Jantarabenjakul; Weichung Wang; Won Young Tak; Xiang Li; Xihong Lin; Young Joon Kwon; Abood Quraini; Andrew Feng; Andrew N Priest; Baris Turkbey; Benjamin Glicksberg; Bernardo Bizzo; Byung Seok Kim; Carlos Tor-Díez; Chia-Cheng Lee; Chia-Jung Hsu; Chin Lin; Chiu-Ling Lai; Christopher P Hess; Colin Compas; Deepeksha Bhatia; Eric K Oermann; Evan Leibovitz; Hisashi Sasaki; Hitoshi Mori; Isaac Yang; Jae Ho Sohn; Krishna Nand Keshava Murthy; Li-Chen Fu; Matheus Ribeiro Furtado de Mendonça; Mike Fralick; Min Kyu Kang; Mohammad Adil; Natalie Gangai; Peerapon Vateekul; Pierre Elnajjar; Sarah Hickman; Sharmila Majumdar; Shelley L McLeod; Sheridan Reed; Stefan Gräf; Stephanie Harmon; Tatsuya Kodama; Thanyawee Puthanakit; Tony Mazzulli; Vitor Lima de Lavor; Yothin Rakvongthai; Yu Rim Lee; Yuhong Wen
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8.  ODMSummary: A Tool for Automatic Structured Comparison of Multiple Medical Forms Based on Semantic Annotation with the Unified Medical Language System.

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Journal:  PLoS One       Date:  2016-10-13       Impact factor: 3.240

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