Handle URI:
http://hdl.handle.net/10754/601416
Title:
The Glory and Misery of Electronic Health Records
Authors:
Smith, Barry
Abstract:
While bioinformatics has witnessed enormous technological advances since the turn of the millennium, progress in the EHR field has been stymied by outdated approaches entrenched through ill-conceived government mandates. In the US, especially, the dominant EHR systems are expensive, difficult to use, fail to ensure even a minimal level of interoperability, and detract from patient care. I will outline the reasons for some of these failures, and sketch an evolutionary path towards the sort of EHR landscape that will be needed in the future, in which consistency with biomedical ontologies will play a central role.
Conference/Event name:
KAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnology
Issue Date:
27-Jan-2016
Type:
Presentation
Appears in Collections:
KAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnology, January 2016

Full metadata record

DC FieldValue Language
dc.contributor.authorSmith, Barryen
dc.date.accessioned2016-03-16T12:53:38Zen
dc.date.available2016-03-16T12:53:38Zen
dc.date.issued2016-01-27en
dc.identifier.urihttp://hdl.handle.net/10754/601416en
dc.description.abstractWhile bioinformatics has witnessed enormous technological advances since the turn of the millennium, progress in the EHR field has been stymied by outdated approaches entrenched through ill-conceived government mandates. In the US, especially, the dominant EHR systems are expensive, difficult to use, fail to ensure even a minimal level of interoperability, and detract from patient care. I will outline the reasons for some of these failures, and sketch an evolutionary path towards the sort of EHR landscape that will be needed in the future, in which consistency with biomedical ontologies will play a central role.en
dc.titleThe Glory and Misery of Electronic Health Recordsen
dc.typePresentationen
dc.conference.dateJanuary 25-27, 2016en
dc.conference.nameKAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnologyen
dc.conference.locationKAUST, Thuwal, Saudi Arabiaen
dc.contributor.institutionThe State University of New York at Buffaloen
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