Literature DB >> 19151883

Future developments of medical informatics from the viewpoint of networked clinical research. Interoperability and integration.

C Ohmann1, W Kuchinke.   

Abstract

OBJECTIVES: To be prepared for future developments, such as enabling support of rapid innovation transfer and personalized medicine concepts, interoperability of basic research, clinical research and medical care is essential. It is the objective of our paper to give an overview of developments, indicate problem areas and to specify future requirements.
METHODS: In this paper recent and ongoing large-scaled activities related to interoperability and integration of networked clinical research are described and evaluated. The following main topics are covered: necessity for general IT-conception, open source/open community approach, acceptance of eSource in clinical research, interoperability of the electronic health record and electronic data capture and harmonization and bridging of standards for technical and semantic interoperability.
RESULTS: National infrastructures and programmes have been set up to provide general IT-conceptions to guide planning and development of software tools (e.g. TMF, caBIG, NIHR). The concept of open research described by transparency achieved through open access, open data, open communication and open source software is becoming more and more important in clinical research infrastructure development (e.g. caBIG, ePCRN). Meanwhile visions and rules for using eSource in clinical research are available, with the potential to improve interoperability between the electronic health record and electronic data capture (e.g. CDISC eSDI, eClinical Forum/PhRMA EDC/eSource Taskforce). Several groups have formulated user requirements, use cases and technical frameworks to advance these issues (e.g. NHIN Slipstream-project, EHR/CR-project, IHE). In order to achieve technical and semantic interoperability, existing standards (e.g. CDISC) have to be harmonized and bridged. Major consortia have been formed to provide semantical interoperability (e.g. HL7 RCRIM under joint leadership of HL7, CDISC and FDA, or BRIDG covering CDISC, HL7, FDA, NCI) and to provide core sets of data collection fields (CDASH).
CONCLUSIONS: The essential tasks for medical informatics within the next ten years will now be the development and implementation of encompassing IT conceptions, strong support of the open community and open source approach, the acceptance of eSource in clinical research, the uncompromising continuity of standardization and bridging of technical standards and the widespread use of electronic health record systems.

Mesh:

Year:  2009        PMID: 19151883

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


  44 in total

1.  CIS-based registration of quality of life in a single source approach.

Authors:  Fleur Fritz; Sonja Ständer; Bernhard Breil; Markus Riek; Martin Dugas
Journal:  BMC Med Inform Decis Mak       Date:  2011-04-21       Impact factor: 2.796

2.  Translational informatics: an industry perspective.

Authors:  Michael N Cantor
Journal:  J Am Med Inform Assoc       Date:  2012-01-11       Impact factor: 4.497

3.  Envisioning a learning health care system: the electronic primary care research network, a case study.

Authors:  Brendan C Delaney; Kevin A Peterson; Stuart Speedie; Adel Taweel; Theodoros N Arvanitis; F D Richard Hobbs
Journal:  Ann Fam Med       Date:  2012 Jan-Feb       Impact factor: 5.166

4.  Foundational biomedical informatics research in the clinical and translational science era: a call to action.

Authors:  Philip R O Payne; Peter J Embi; Joyce Niland
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

5.  Data governance requirements for distributed clinical research networks: triangulating perspectives of diverse stakeholders.

Authors:  Katherine K Kim; Dennis K Browe; Holly C Logan; Roberta Holm; Lori Hack; Lucila Ohno-Machado
Journal:  J Am Med Inform Assoc       Date:  2013-12-03       Impact factor: 4.497

6.  Modeling complex workflow in molecular diagnostics: design specifications of laboratory software for support of personalized medicine.

Authors:  Mohamed E Gomah; James P Turley; Huimin Lu; Dan Jones
Journal:  J Mol Diagn       Date:  2009-12-10       Impact factor: 5.568

7.  Data standards for clinical research data collection forms: current status and challenges.

Authors:  Rachel L Richesson; Prakash Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

8.  Roadmap for the development of the University of North Carolina at Chapel Hill Genitourinary OncoLogy Database--UNC GOLD.

Authors:  Sarah A Gallagher; Angela B Smith; Jonathan E Matthews; Clarence W Potter; Michael E Woods; Mathew Raynor; Eric M Wallen; W Kimryn Rathmell; Young E Whang; William Y Kim; Paul A Godley; Ronald C Chen; Andrew Wang; Chaochen You; Daniel A Barocas; Raj S Pruthi; Matthew E Nielsen; Matthew I Milowsky
Journal:  Urol Oncol       Date:  2013-02-19       Impact factor: 3.498

Review 9.  Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress.

Authors:  S M Meystre; C Lovis; T Bürkle; G Tognola; A Budrionis; C U Lehmann
Journal:  Yearb Med Inform       Date:  2017-09-11

10.  Heterogeneity prevails: the state of clinical trial data management in Europe - results of a survey of ECRIN centres.

Authors:  Wolfgang Kuchinke; Christian Ohmann; Qin Yang; Nader Salas; Jens Lauritsen; Francois Gueyffier; Alan Leizorovicz; Carmen Schade-Brittinger; Michael Wittenberg; Zoltán Voko; Siobhan Gaynor; Margaret Cooney; Peter Doran; Aldo Maggioni; Andrea Lorimer; Ferràn Torres; Gladys McPherson; Jim Charwill; Mats Hellström; Stéphane Lejeune
Journal:  Trials       Date:  2010-07-21       Impact factor: 2.279

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