Robert A Jenders’s research while affiliated with University of California and other places

... Earlier efforts have focused on parsing clinical trial EC into formats that computers can interpret to support trial protocol design 17 , automated cohort selection, and collaborative clinical research [18][19][20][21][22][23][24] . Computer languages such as Arden Syntax 25 , Clinical Quality Language (CQL) 26 , Guideline Expression Language Object-Oriented (GELLO) 27 have standardized medical knowledge and clinical decision-support logic but they require substantial domain expertise and customization to implement effectively. Tools like Eligibility Criteria Language for Clinical Trials Inclusion Criteria (ECLECTIC) 28 , and Clinical Trail Markup Language (CTML) 29 provide standardized formats for encoding eligibility criteria, excelling in consistency and interoperability across EHR systems but they lack the flexibility needed for complex and nuanced tasks. ...

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CriteriaMapper: establishing the automatic identification of clinical trial cohorts from electronic health records by matching normalized eligibility criteria and patient clinical characteristics

... [26][27][28] With respect to interoperability, HL7 Fast Healthcare Interoperability Resources (FHIR) specifications are available to support standardized data exchange between computer systems. 29,30 These specifications may help address challenges related to incorporating external PGx results as structured data in the EHR. In addition, some organizations have moved to state-or region-wide health information exchange systems to promote more seamless data transfer between institutions. ...

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Barriers and facilitators of the use of clinical informatics resources to facilitate pharmacogenomic implementation in resource-limited settings

... A pragmatic guide to establishing CDS governance For the proposed CDS tool, we adhered to the core principles of "five rights": the right information to the right person in the right intervention format through the right channel at the right time in the clinical workflow (Campbell, 2013). Specifically, we ensured the delivery of appropriate content (such as OASIS, vital signs, and clinical notes) to the correct stakeholders (patients and clinicians) at the most opportune times (during actual visits or before specific events), through the right channels (such as the EHR's messaging portal), and in an accessible format (message data presentation) (Osheroff et al., 2012). The system architecture illustrated how the CDS logic will trigger in three stages. ...

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Developing a clinical decision support framework for integrating predictive models into routine nursing practices in home health care for patients with heart failure

... Despite the fact that many of the aforementioned languages and models are no more in the spotlight, others obtained remarkable visibility: the Arden Syntax [2], one of the oldest, was born in the 1990s and integrated in HL7 and ANSI in, respectively, 1999 and 2014. It is still on the open scene, with structural changes being proposed: for example, to include user-defined functions within the Medical Logic Module (MLMs) [73], to embed expressions into strings [74] (published in 2018 and 2019 respectively), or to harmonize it in the ecosystem of more recent and promising standards [75]. ...

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What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper

... A clinical decision support application contains a knowledge base (KB), an inference engine, a means of communicating results (instructions or actions), a user interface, and an associated patient database (DB) [10][11][12]. The KB is a collection of encoded knowledge needed to solve problems in some medical area. ...

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A Frame-based Representation for a Bedside Ventilator Weaning Protocol

... The Arden Syntax has been designed for building clinical decision support systems and its Medical Logic Modules (MLMs) encode medical knowledge and decision rules, using a syntax resembling natural language. [44] However, as the Arden Syntax evolved over time, supporting more complex clinical decision support systems, its complexity has also increased [45]. In summary, these specialized query languages require a deep understanding of the underlying data models and have not been tailored to the specific task of selecting and aggregating facts at patient-level that we address in our work [46]. ...

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HERALD: A domain-specific query language for longitudinal health data analytics

... The identification of the risk of LA in the clinical and speech-language assessment of swallowing has several origins, which leads to a constant increase in studies that improve knowledge. This is why the advances in this CDSS need to be dynamic, continuous, modified, and adaptive, prospectively [37]. ...

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Bayesian networks for the development of an interdisciplinary decision support system in screening for the risk of laryngotracheal aspiration

... Only English articles published from 2015 to 2021 were included. We limited the publications to those published after 2015 due to the fact that CDSSs only started to be commonly used in health care, health science, and clinical informatics in 2015 [27]. Online databases showed a significant increase in the number of publications related to the use of CDSSs in telemedicine in 2015 and an exponential increase since the COVID-19 pandemic [28]. ...

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The Integration of Clinical Decision Support Systems Into Telemedicine for Patients With Multimorbidity in Primary Care Settings: Scoping Review

... Arden Syntax is a formalism supervised by Health Level Seven International (HL7) for representation of procedural medical knowledge as medical logic modules (MLMs) [1]. One popular formalism for facilitating data interoperability is the HL7 Fast Healthcare Interoperability Resources (FHIR). ...

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Evaluation of the Proposed Arden Syntax v3.0 to Represent Query Data Mappings Using FHIR

... Althogh the RECAP-V0 template, developed by the Delphi study, contained ten questions, 12 the validated models contained four (RECAP-O2) and five (RECAP-GP) items only, significantly improving their fitness for use in the clinical setting. 27 The choice of logistic regression modelling means that most electronic health record systems using SNOMED codes will be able to recreate the RECAP electronic templates and integrate the score calculator into the system. 28 Moreover, data on hospitalisation was extracted from the NHS databases, which contain information on admission to tertiary NHS care facilities in England and are considered a reliable data source. ...

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Remote COVID-19 Assessment in Primary Care (RECAP) risk prediction tool: derivation and real-world validation studies