Nutrigenomic Information in the openEHR Data Set

Maranhão, Priscila Alves; Bacelar-Silva, Gustavo Marísio; Ferreira, Duarte Nuno Gonçalves; Calhau, Conceição; Vieira‐Marques, Pedro; Cruz‐Correia, Ricardo

doi:10.1055/s-0038-1635115

Cited by 10 publications

(4 citation statements)

References 58 publications

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“…This selection was performed considering the nature of the statements and their objectives in clinical practice [31]. Thereafter, the identified clinical statements were organized and structured as archetype-friendly concepts, as described by Bacelar-Silva et al [30] and Maranhão et al [33].…”

Section: Clinical Concepts Identificationmentioning

confidence: 99%

Nutrition Information in Oncology — Extending the Electronic Patient-Record Data Set

et al. 2020

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Electronic health records (EHRs) present extensive patient information and may be used as a tool to improve health care. However, the oncology context presents a complex content that increases the difficulties of EHR application. This study aimed at developing openEHR-archetypes representing clinical concepts in cancer nutrition-care, as well as to develop an openEHRtemplate including the aforementioned archetypes. The study involved the following stages: 1) a thorough literature review, followed by an expert's (nutrition guideline authors) survey, aiming to identify the main statements of published clinical guidelines on nutrition in cancer patients that were not included on the Clinical Knowledge Manager (CKM) repository; 2) modelling of the archetypes using the Ocean Archetype Software and submission to the CKM repository; 3) creating an example template with Template Designer; and 4) automatic conversion of the openEHR-template into a readily usable EHR using VCIntegrator. The clinical concepts (among 17 clinical concepts not yet available in the CKM repository) chosen for further development were: body composition, diet plan, dietary nutrients, dietary supplements, dietary intake assessment, and Malnutrition Screening Tool (MST). So far, four archetypes were accepted for review in the CKM repository and a template was created and converted into an EHR. This study designed new openEHR-archetypes for nutrition management in cancer patients. These archetypes can be included in EHR. Future studies are needed to assess their applicability in other areas and their practical impact on data quality, system interoperability and, ultimately, on clinical practice and research.

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Section: Clinical Concepts Identificationmentioning

confidence: 99%

Nutrition Information in Oncology — Extending the Electronic Patient-Record Data Set

et al. 2020

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“…It could help find reusable archetypes [25]. However, domain experts are mainly concerned about whether the concept name and core data items are covered [17,26,27], and they may be not familiar with openEHR archetypes, especially clinicians. For better results, end users usually need to do a large amount of preparatory work, which may include classifying and rearranging data [27], abstracting clinical concepts from data schemas [17], and identifying archetype-friendly concepts from clinical statements [26].…”

Section: Introductionmentioning

confidence: 99%

Discovering Clinical Information Models Online to Promote Interoperability of Electronic Health Records: A Feasibility Study of OpenEHR

Yang

Huang

2019

J Med Internet Res

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2 For purposes this framework, unless otherwise noted, the term drug refers both to a drug approved under section 505(c) or (j) of the Federal Food, Drug, and Cosmetic Act (FD&C Act) and to biological products licensed under section 351 of the Public Health Service Act (PHS Act) 42 USC 262. 3 In this document, when we refer to the use of RWE to support a regulatory decision, we mean that the evidence provides support for or helps provide support for the regulatory decision. 4 FDA issued the guidance Use of Real-World Evidence to Support Regulatory Decision-Making for Medical Devices on August 31, 2017. Real-World Data (RWD) are data relating to patient health status and/or the delivery of health care routinely collected from a variety of sources. Real-World Evidence (RWE) is the clinical evidence about the usage and potential benefits or risks of a medical product derived from analysis of RWD.

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“…14 However, in contrast to other fields of study, 15 very few initiatives focusing on the establishment of databases that integrate largescale nutritional and genomics or genetics data have been developed. [15][16][17] The majority of such actions are aimed at standardizing nutritional studies and some publicationssometimesover-emphasize the results obtained via database interrogation. Indeed, the scientific literature only describes two examples of such large-scale nutritional genomic data analysis: one related to functional genomics in chicken (Dhanasekaran et al, 2014) 18 and the other one to genomic responses triggered by food bioactive compounds.…”

Section: Introductionmentioning

confidence: 99%

Identification and validation of common molecular targets of hydroxytyrosol

et al. 2019

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Nutrigenomic Information in the openEHR Data Set

Abstract: The archetypes and the specific openEHR template developed in this study gave dieticians and other health professionals an important tool to their nutrigenomic clinical practices, besides a set of nutrigenomic data to clinical research.

Cited by 10 publications

References 58 publications

Nutrition Information in Oncology — Extending the Electronic Patient-Record Data Set

Nutrition Information in Oncology — Extending the Electronic Patient-Record Data Set

Discovering Clinical Information Models Online to Promote Interoperability of Electronic Health Records: A Feasibility Study of OpenEHR

Identification and validation of common molecular targets of hydroxytyrosol

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