Health information technology data standards get down to business: maturation within domains and the emergence of interoperability.
Author(s): Richesson, Rachel L, Chute, Christopher G
DOI: 10.1093/jamia/ocv039
Author(s): Richesson, Rachel L, Chute, Christopher G
DOI: 10.1093/jamia/ocv039
The American Recovery and Reinvestment Act (ARRA) of 2009 clearly articulated the central role that health information technology (HIT) standards would play in improving healthcare quality, safety, and efficiency through the meaningful use of certified, standards based, electronic health record (EHR) technology. In 2012, the Office of the National Coordinator (ONC) asked the Nationwide Health Information Network (NwHIN) Power Team of the Health Information Technology Standards Committee (HITSC) to develop [...]
Author(s): Baker, Dixie B, Perlin, Jonathan B, Halamka, John
DOI: 10.1136/amiajnl-2014-002802
To evaluate the utility of applying the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) across multiple observational databases within an organization and to apply standardized analytics tools for conducting observational research.
Author(s): Voss, Erica A, Makadia, Rupa, Matcho, Amy, Ma, Qianli, Knoll, Chris, Schuemie, Martijn, DeFalco, Frank J, Londhe, Ajit, Zhu, Vivienne, Ryan, Patrick B
DOI: 10.1093/jamia/ocu023
There is wide recognition that, with the rapid implementation of electronic health records (EHRs), large data sets are available for research. However, essential standardized nursing data are seldom integrated into EHRs and clinical data repositories. There are many diverse activities that exist to implement standardized nursing languages in EHRs; however, these activities are not coordinated, resulting in duplicate efforts rather than building a shared learning environment and resources.
Author(s): Westra, Bonnie L, Latimer, Gail E, Matney, Susan A, Park, Jung In, Sensmeier, Joyce, Simpson, Roy L, Swanson, Mary Jo, Warren, Judith J, Delaney, Connie W
DOI: 10.1093/jamia/ocu011
The ability to share nursing data across organizations and electronic health records is a key component of improving care coordination and quality outcomes. Currently, substantial organizational and technical barriers limit the ability to share and compare essential patient data that inform nursing care. Nursing leaders at Kaiser Permanente and the U.S. Department of Veterans Affairs collaborated on the development of an evidence-based information model driven by nursing practice to enable [...]
Author(s): Chow, Marilyn, Beene, Murielle, O'Brien, Ann, Greim, Patricia, Cromwell, Tim, DuLong, Donna, Bedecarré, Diane
DOI: 10.1093/jamia/ocu026
The healthcare landscape is changing, driven by innovative care models and the emergence of new roles that are inter-professional in nature. Currently, the HL7/LOINC Document Ontology (DO) aids the use and exchange of clinical documents using a multi-axis structure of document attributes for Kind of Document, Setting, Role, Subject Matter Domain, and Type of Service. In this study, the adequacy of the Role axis for representing the type of author [...]
Author(s): Rajamani, Sripriya, Chen, Elizabeth S, Akre, Mari E, Wang, Yan, Melton, Genevieve B
DOI: 10.1136/amiajnl-2014-003100
Standards terminologies may be large and complex, making their quality assurance challenging. Some terminology quality assurance (TQA) methodologies are based on abstraction networks (AbNs), compact terminology summaries. We have tested AbNs and the performance of related TQA methodologies on small terminology hierarchies. However, some standards terminologies, for example, SNOMED, are composed of very large hierarchies. Scaling AbN TQA techniques to such hierarchies poses a significant challenge. We present a scalable [...]
Author(s): Ochs, Christopher, Geller, James, Perl, Yehoshua, Chen, Yan, Xu, Junchuan, Min, Hua, Case, James T, Wei, Zhi
DOI: 10.1136/amiajnl-2014-003151
To develop and test a parsimonious and actionable model of effective technology use (ETU).
Author(s): Holahan, Patricia J, Lesselroth, Blake J, Adams, Kathleen, Wang, Kai, Church, Victoria
DOI: 10.1093/jamia/ocu043
Markers of illness severity are increasingly captured in emergency department (ED) electronic systems, but their value for surveillance is not known. We assessed the value of age, triage score, and disposition data from ED electronic records for predicting influenza-related hospitalizations.
Author(s): Savard, Noémie, Bédard, Lucie, Allard, Robert, Buckeridge, David L
DOI: 10.1093/jamia/ocu002
The semantic interoperability of electronic healthcare records (EHRs) systems is a major challenge in the medical informatics area. International initiatives pursue the use of semantically interoperable clinical models, and ontologies have frequently been used in semantic interoperability efforts. The objective of this paper is to propose a generic, ontology-based, flexible approach for supporting the automatic transformation of clinical models, which is illustrated for the transformation of Clinical Element Models (CEMs) [...]
Author(s): Legaz-García, María del Carmen, Menárguez-Tortosa, Marcos, Fernández-Breis, Jesualdo Tomás, Chute, Christopher G, Tao, Cui
DOI: 10.1093/jamia/ocu027