Integration of Data with Quality Registries using Semantic EHR and CDS Technologies: A case study of the quality registry Senior Alert in Sweden. Master thesis. Karolinska Institutet; 2016

Nielsen O.

“The study showed that these semantic EHR and CDS technologies can be used for the integration of data to registries, where they provide reusable and accurate data to the registry in the format and structure that it requires. The solution presented in this study shows that the quality of data can be improved and that double documentation can be reduced in the context of registration of data to quality registries.”(Nielsen O, 2016)

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Comparative Analysis of HL7 FHIR and openEHR for Electronic Aggregation, Exchange and Reuse of Patient Data in Acute Care. Master thesis. Karolinska Institutet; 2016

Allwell-Brown E.

“openEHR captures an outstanding level of detail and it delivers on its mandate of defining EHR structure, albeit in a tedious and complicated way. FHIR is lightweight and agile, has better terminology support, is easier to learn, maintain and rapidly deploy either as an interface for data aggregation, exchange and reuse, or as standalone EHR.” (Allwell-Brown E, 2016)

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Exploring openEHR-based clinical guidelines in acute stroke care and research. Thesis for doctoral degree. Karolinska Institutet; 2016

Anani N.

“Several findings are that i) the Care Entry-Network Model facilitates an intermediate step between narrative guideline text and computer-interpretable guidelines to be deployed in openEHR systems, ii) the Guideline Definition Language is practicable for creating and automatically running openEHR-based computer-interpretable guidelines, where we also provide detailed accounts of our employed GDL technologies, and iii) the Guideline Definition Language combined with real patient data from patient data registries can generate new clinical knowledge, which in our case has benefited stroke carers and researchers working with acute stroke thrombolysis. In conclusion, using our methodology, health care stakeholders would get evidence-based knowledge components in their electronic health records based on shareable, well maintainable information and knowledge models in the form of archetypes and GDL rules respectively. However, our approach still needs to be tested at the point of clinical decision making and compared to other approaches for providing exchangeable computer-interpretable guidelines.”(Anani, N, 2016)

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Design and development of a decision support system for screening of Lynch syndrome using openEHR. Master thesis. Karolinska Institutet; 2015

Flores B.

“OpenEHR and GDL offer the capabilities of developing a CDSS that can model a patient’s screening process and support accurate referral of Lynch Syndrome. The architecture of OpenEHR provides the flexibility of further adapting the system to new requirements and additional features.”(Flores B, 2015)

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Applying openEHR and GDL for streamlining the process between screening and reporting to quality registries – the case of familial hypercholesterolemia. Master thesis. Karolinska Institutet; 2014

Engblom K.

“openEHR and GDL has a role to play in the organizational context, and can support the integration of EHR:s, decision support, and quality registries, a development that may have real benefits for the health care system in general and patients with familial hypercholesterolemia in particular.”(Engblom K, 2014)

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Evaluation of feasibility of openEHR and Guideline Definition Language for automatic data transfer between electronic health records and the Auricula quality registry for Atrial fibrillation. Master thesis. Karolinska Institutet; 2014

Ismaili U.

“The integration between the EHR and QR is theoretically possible with the use of openEHR technology and GDL. The validation proved that GDL can model guidelines in the clinical area of atrial fibrillation and that the criteria can be supported.” (Ismaili U, 2014)

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Evaluation of the Guideline Definition Language (GDL) in the clinical area of severe sepsis and septic shock. Master thesis. Karolinska Institutet; 2013

Kalliamvakos K.

“The validation indicates that GDL can support the criteria for modeling guidelines in the clinical area of severe sepsis and septic shock; due to limitations this finding cannot be generalized. The comparison of GELLO and GDL revealed similarities regarding the use of the OO approach for their design and the use of a local term binded to an external terminology.” (Kalliamvakos K, 2013)

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