Using Arden Syntax for the creation of a multi-patient surveillance dashboard

Kraus, Stefan; Drescher, Caroline; Sedlmayr, Martin; Castellanos, Ixchel; Prokosch, Hans‐Ulrich; Toddenroth, Dennis

doi:10.1016/j.artmed.2015.09.009

Cited by 8 publications

(4 citation statements)

References 27 publications

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“…Arden does not have a specific construct to specify the context and it typically focuses on a single patient, however, because of the curly braces it could also support multiple patients. 19 CQL uses the context declaration to evaluate the logic against data of patient , practitioner , or unfiltered (data not constrained by patient or provider).…”

Section: Resultsmentioning

confidence: 99%

A Comparison of Arden Syntax and Clinical Quality Language as Knowledge Representation Formalisms for Clinical Decision Support

et al. 2021

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Objectives This article presents a comparative study of two Health Level Seven International (HL7) standards for clinical knowledge representation, the Arden Syntax and the Clinical Quality Language (CQL), regarding their expressiveness and utility to represent knowledge for clinical decision support (CDS) systems. Methods We compiled a concatenated set of features from both languages and made descriptive comparisons of 27 categories covering areas of language characteristics, data, control statements, and operators. Results Both Arden and CQL have similar constructs that can be used for representing CDS knowledge but also have unique constructs that could support distinct use cases. They have constructs that fully or partially address several of the categories used in the comparison, except for data models and terminologies in Arden and event triggering and iteration statements in CQL. Conclusion These standards can facilitate the sharing, management, and reuse of computable knowledge, and permit knowledge to be represented with their languages and converted to a machine-friendly executable code that can be shared and reused by other systems. Having support for standard data models and terminologies will continue to be a differential for adoption of a language. The HL7 working groups responsible for developing these standards can direct future development to enhance the functions of the standard and address the gaps identified in this study.

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Section: Resultsmentioning

confidence: 99%

A Comparison of Arden Syntax and Clinical Quality Language as Knowledge Representation Formalisms for Clinical Decision Support

et al. 2021

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“…In addition, these DSLs all use the underlying database schema as the reference model, so there is no need for a complex concept mapping. Such concept mapping is a well-known issue in medical informatics, aka the “curly braces” problem [8], which involves mapping external clinical data to rule variables in the rule expression.…”

Section: Methodsmentioning

confidence: 99%

Computer-Aided Clinical Trial Recruitment Based on Domain-Specific Language Translation: A Case Study of Retinopathy of Prematurity

Zhang

Shang

2017

Journal of Healthcare Engineering

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Reusing the data from healthcare information systems can effectively facilitate clinical trials (CTs). How to select candidate patients eligible for CT recruitment criteria is a central task. Related work either depends on DBA (database administrator) to convert the recruitment criteria to native SQL queries or involves the data mapping between a standard ontology/information model and individual data source schema. This paper proposes an alternative computer-aided CT recruitment paradigm, based on syntax translation between different DSLs (domain-specific languages). In this paradigm, the CT recruitment criteria are first formally represented as production rules. The referenced rule variables are all from the underlying database schema. Then the production rule is translated to an intermediate query-oriented DSL (e.g., LINQ). Finally, the intermediate DSL is directly mapped to native database queries (e.g., SQL) automated by ORM (object-relational mapping).

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“…Dashboard dapat digunakan untuk pemantauan layanan kesehatan di Inggris [9]. Dashboard juga dapat digunakan untuk mengetahui cara penanganan pasien berdasarkan studi kasus penanganan pasien sebelumnya [10]. Selain itu, dashboard dapat berfungsi sebagai tools untuk memonitor http://e-journal.stmiklombok.ac.id/index.php/jire ISSN.…”

Section: Pendahuluanunclassified

“…[9]. Dashboard dapat digunkan untuk pemantauan layanan kesehata di inggris [10]. Dashboar juga dapat digunakan untuk mengetahui cara penanganan pasien berdasarkan studi kasus penanganan pasien sebelumnnya [11].…”

Section: Tinjauan Pustakaunclassified

Pengembangan Dashboard Cerdas Untuk Monitoring Data Pasien Rawat Rumah Sakit Umum Daerah Praya Kabupaten Lombok Tengah

Mutawalli¹,

Zaen²,

Bagye³

2021

JIRE

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Rumah Sakit Umum Daerah (RSUD) is a hospital owned by the Lombok Tengah Regency Government. RSUD Praya has a main vision as a hospital with excellent service, by prioritizing perfect, effective, efficient and friendly quality services, family-based manner with financing affordable to all levels of society. Efforts that have been made by RSUD Praya are implementing hospital information systems. In 2014 RSUD Praya has used the hospital information system (SIMRS) which was developed independently. However, the SIMRS that was developed has not been deemed effective in supporting business processes at RSUD Praya. In mid-2019 to date, RSUD Praya has carried out a system migration. The system migration from the old SIMRS to SIMRS Khanza presented obstacles in integrating data. One reason is that the two hospital information systems were developed by different developers. Therefore, the data contained in each Database is different. This difference creates a gap when it comes to analyzing patient data simultaneously from 2014 to the present. Gap analysis between the two hospital information systems at RSUD Praya cannot reflect good data management. One of the efforts to overcome the gap analysis is to build a data warehouse. The development of a data warehouse and dashboard is the right effort if you look at the size of the data records stored in the two SIMRS Databases used at RSUD Praya. The test results on the dashboard system that were developed simultaneously were as much as 86% with each measured assessment was a system quality assessment of 86%, an assessment of information quality by 88%, and an assessment of system service quality by 85% of the test results it can be concluded that the system is sufficient. assist in supporting the performance of data processing at RSUD Praya. With the dashboard system developed at RSUD Praya, stakeholders in the hospital be able to get the information and knowledge contained in the transaction data carried out at RSUD Praya easily

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Using Arden Syntax for the creation of a multi-patient surveillance dashboard

Cited by 8 publications

References 27 publications

A Comparison of Arden Syntax and Clinical Quality Language as Knowledge Representation Formalisms for Clinical Decision Support

A Comparison of Arden Syntax and Clinical Quality Language as Knowledge Representation Formalisms for Clinical Decision Support

Computer-Aided Clinical Trial Recruitment Based on Domain-Specific Language Translation: A Case Study of Retinopathy of Prematurity

Pengembangan Dashboard Cerdas Untuk Monitoring Data Pasien Rawat Rumah Sakit Umum Daerah Praya Kabupaten Lombok Tengah

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