ODM on FHIR: Towards Achieving Semantic Interoperability of Clinical Study Data
نویسندگان
چکیده
Observational clinical studies play a pivotal role in advancing medical knowledge and patient healthcare. However, to lessen the prohibitive costs of conducting these studies and support evidence-based medicine, results emanating from these studies need to be shared and compared with one another. This paper explores how semantic interoperability of clinical data can be achieved by integrating two prominent standards for clinical data: ODM and FHIR. ODM lacks a rich-enough information model to adequately capture the contextual information of clinical study data. This is overcome by using FHIR’s information model to achieve semantic interoperability of clinical data. This work outlines our ongoing effort to integrate the ODM standard to the FHIR standard. In particular, it demonstrates how the hierarchical ODM model lends itself to be mapped to the ubiquitous FHIR resources. We describe the approach and provide insights into the assumptions made to fit the clinical data extracted from the ODM standard into the FHIR resources. Our focus is not only on mapping the data from ODM to the FHIR models but on capturing the contextual information, present in other sources, such as the study protocol, and which should have been made available with the extracted data. Finally, we discuss the exceptions under which the extracted ODM data does not adequately fit the targeted FHIR resources and offer some insight into a suitable solution.
منابع مشابه
Towards achieving semantic interoperability of clinical study data with FHIR
BACKGROUND Observational clinical studies play a pivotal role in advancing medical knowledge and patient healthcare. To lessen the prohibitive costs of conducting these studies and support evidence-based medicine, results emanating from these studies need to be shared and compared to one another. Current approaches for clinical study management have limitations that prohibit the effective shari...
متن کاملDeveloping a Semantic Web-based Framework for Executing the Clinical Quality Language Using FHIR
The Clinical Quality Language (CQL) is a HL7 specification, aiming to provide a human-readable language to define clinical quality measures and decision support rules while it makes logic expressions independent of any specific data model (e.g., Quality Data Model, HL7 Fast Healthcare Interoperability Resources – FHIR). FHIR adopts RDF as its third representation/interchange format in addition ...
متن کاملCombining Archetypes with Fast Health Interoperability Resources in Future-proof Health Information Systems
Messaging standards, and specifically HL7 v2, are heavily used for the communication and interoperability of Health Information Systems. HL7 FHIR was created as an evolution of the messaging standards to achieve semantic interoperability. FHIR is somehow similar to other approaches like the dual model methodology as both are based on the precise modeling of clinical information. In this paper, ...
متن کاملA Fast Healthcare Interoperability Resources (FHIR) layer implemented over i2b2
BACKGROUND Standards and technical specifications have been developed to define how the information contained in Electronic Health Records (EHRs) should be structured, semantically described, and communicated. Current trends rely on differentiating the representation of data instances from the definition of clinical information models. The dual model approach, which combines a reference model (...
متن کاملBlending FHIR RDF and OWL
HL7 Fast Healthcare Interoperability Resources (FHIR) is rapidly becoming a major standard for the exchange of electronic healthcare information. FHIR defines a collection of “resources” to represent different information types and specifies how these resources are to be exchanged using XML, JSON and, as of the latest release, RDF. The FHIR specification also uses links to SNOMED CT and other o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015