CCR+: Metadata Based Extended Personal Health Record Data Model Interoperable with the ASTM CCR Standard

Abstract

ObjectivesExtension of the standard model while retaining compliance with it is a challenging issue because there is currently no method for semantically or syntactically verifying an extended data model. A metadata-based extended model, named CCR+, was designed and implemented to achieve interoperability between standard and extended models.MethodsFurthermore, a multilayered validation method was devised to validate the standard and extended models. The American Society for Testing and Materials (ASTM) Community Care Record (CCR) standard was selected to evaluate the CCR+ model; two CCR and one CCR+ XML files were evaluated.ResultsIn total, 188 metadata were extracted from the ASTM CCR standard; these metadata are semantically interconnected and registered in the metadata registry. An extended-data-model-specific validation file was generated from these metadata. This file can be used in a smartphone application (Health Avatar CCR+) as a part of a multilayered validation. The new CCR+ model was successfully evaluated via a patient-centric exchange scenario involving multiple hospitals, with the results supporting both syntactic and semantic interoperability between the standard CCR and extended, CCR+, model.ConclusionsA feasible method for delivering an extended model that complies with the standard model is presented herein. There is a great need to extend static standard models such as the ASTM CCR in various domains: the methods presented here represent an important reference for achieving interoperability between standard and extended models.

Health information technology and Healthcare

“…CCR+ was named after the enhanced extensibility and sewww.e-hir.org This issue introduces some of the successful distributed agents that have been developed by using the open HAP APIs and providing healthcare services to users by accessing and analyzing clinical, genomic and lifelog data of their CCR+. Park et al [5] further extended their MDR-based CCR+ data model and proposed a multi-layered validation method for the CCR+ XML files exchanged to improve syntactic and semantic interoperability. Kwon et al [6] developed a very useful application for capturing and managing physical activity measurements obtained from the accelerometer and gyroscope of a smartphone at 50 Hz.…”

Clinical MetaData ontology: a simple classification scheme for data elements of clinical data based on semantics

“…We successfully established the CHMR in 2006, since when we have been using it in various clinical trials and research studies [22–24]. The main limitation we have experienced during the long-term use of an MDR is the lack of an ontology that can be used to semantically group, search, and integrate metadata.…”

“…To construct an ontology for use with clinical documents, we used metadata in clinical documents obtained from the real-world clinical setting of a tertiary hospital in South Korea. We evaluated the utility of the developed CMDO using 1 personal health record (PHR) specification [CCR Plus (CCR+)] [22, 24], 6 HL7 templates [25], and 25 common clinical documents from 5 teaching hospitals in South Korea [26].…”

Health Avatar: An Informatics Platform for Personal and Private Big Data

“…Park et al [5] further extended their MDR-based CCR+ data model and proposed a multi-layered validation method for the CCR+ XML files exchanged to improve syntactic and semantic interoperability. Kwon et al [6] developed a very useful application for capturing and managing physical activity measurements obtained from the accelerometer and gyroscope of a smartphone at 50 Hz.…”

“…This issue introduces some of the successful distributed agents that have been developed by using the open HAP APIs and providing healthcare services to users by accessing and analyzing clinical, genomic and lifelog data of their CCR+. Park et al [ 5 ] further extended their MDR-based CCR+ data model and proposed a multi-layered validation method for the CCR+ XML files exchanged to improve syntactic and semantic interoperability. Kwon et al [ 6 ] developed a very useful application for capturing and managing physical activity measurements obtained from the accelerometer and gyroscope of a smartphone at 50 Hz.…”