Literature DB >> 31258990

Extending i2b2 into a framework for semantic abstraction of EHR to facilitate rapid development and portability of Health IT applications.

Kavishwar B Wagholikar1,2,3, Layne Ainsworth3, Vishal P Vernekar4, Ameet Pathak4, Corey Glynn3, David Zelle3, Akshay Zagade4, Neelima Karipineni1,5, Christopher D Herrick3, Marian McPartlin1,5,2,4,3, Tiffany V Bui1,5,2,4,3, Mike Mendis3, Jeffery Klann1,2,3, Michael Oates3, William Gordon5, Christopher Cannon1,5,2,4,3, Rahul Patel4, Samuel J Aronson3, Calum A MacRae1,5, Benjamin M Scirica1,5, Shawn N Murphy1,2.   

Abstract

The wide gap between a care provider's conceptualization of electronic health record (EHR) and the structures for electronic health record (EHR) data storage and transmission, presents a multitude of obstacles for development of innovative Health IT applications. While developers model the EHR view of the clinicians at one end, they work with a different data view to construct health IT applications. Although there has been considerable progress to bridge this gap by evolution of developer friendly standards and tools for terminology mapping and data warehousing, there is a need for a simplified framework to facilitate development of interoperable applications. To this end, we propose a framework for creating a layer of semantic abstraction on the EHR and describe preliminary work on the implementation of this framework for management of hyperlipidemia and hypertension. Our goal is to facilitate the rapid development and portability of Health IT applications.

Entities:  

Year:  2019        PMID: 31258990      PMCID: PMC6568124     

Source DB:  PubMed          Journal:  AMIA Jt Summits Transl Sci Proc


  3 in total

1.  Cloud Services for Patient Cohort Identification Using the Informatics for Integrating Biology and the Bedside Platform.

Authors:  Kavishwar B Wagholikar; Shreekanth V Joshi; Vishal V Pai Vernekar; Yuri Ostrovsky; Somnath D Desai; Pooja B Magdum; Sachin B Wakle; Sheetal Jain; Akshay Zagade; Rahul Patel; Shawn N Murphy
Journal:  Biomed Res Int       Date:  2020-07-07       Impact factor: 3.411

2.  Use of automatic SQL generation interface to enhance transparency and validity of health-data analysis.

Authors:  Kavishwar B Wagholikar; David Zelle; Layne Ainsworth; Kira Chaney; Alexander J Blood; Angela Miller; Rupendra Chulyadyo; Michael Oates; William J Gordon; Samuel J Aronson; Benjamin M Scirica; Shawn N Murphy
Journal:  Inform Med Unlocked       Date:  2022-06-25

3.  Deep phenotyping: Embracing complexity and temporality-Towards scalability, portability, and interoperability.

Authors:  Chunhua Weng; Nigam H Shah; George Hripcsak
Journal:  J Biomed Inform       Date:  2020-04-23       Impact factor: 6.317

  3 in total

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