Search results for "FHIR"
showing 3 items of 3 documents
HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study
2022
Heterogeneity is a problem in storing and exchanging data in a digital health information system (HIS) following semantic and structural integrity. The existing literature shows different methods to overcome this problem. Fast healthcare interoperable resources (FHIR) as a structural standard may explain other information models, (e.g., personal, physiological, and behavioral data from heterogeneous sources, such as activity sensors, questionnaires, and interviews) with semantic vocabularies, (e.g., Systematized Nomenclature of Medicine—Clinical Terms (SNOMED-CT)) to connect personal health data to an electronic health record (EHR). We design and develop an intuitive health coaching (eCoach…
SNOMED on FHIR Transmission of clinical data with the Fast Healthcare Interoperability Resources protocol (HL7-FHIR) utilizing Systematized Nomenclat…
2019
Master's thesis Information- and communication technology IKT590 - University of Agder 2019 The exchange of information at the level of semantic interoperability needs some infor-mation model and clinical terminology work together. Electronic records of the patientmust include the terminologies in order to give the decision support to the practitionerwhen needed. Due to the lack of common standards for data structure and data sharingcreates the problem to interact and share information with different applications.Our main goal in this thesis is transferring the SNOMED-CT (Systematized Nomenclatureof Medicine Clinical Terms) terminologies using HL7 FHIR (Fast Healthcare Interoper-ability Res…
Integrating Telemedicine Solutions with Electronic Health Records; Evaluation of Alternatives based on the Proposed Reference Architecture for Norway…
2016
This report studies the way forward for how a telemedicine solution can be integrated for exchange of data with an existing Electronic Health Record (EHR) system. The solution used an example for this report is based on a telemedicine solution for COPD patients (Chronic Obstructive Pulmonary Disease) developed in the project “Collaborative Point-of-Care Services Agder: Follow-up of COPD patients as part of the United4Health EU Project», with financial support from the Research Council of Norway. In addition, the EHR solution from DIPS ASA is used as an example of an existing system for integration. Important parameters for choosing way forward on how to are: urgency with regards to timeli…