Methodology for developing OpenEHR archetypes: a narrative literature review
DOI:
https://doi.org/10.59681/2175-4411.v15.i2.2023.970Keywords:
electronic health record, semantics, methodologyAbstract
Objective: To present a narrative literature review to identify, analyze, and characterize the state of the art about methodologies for developing openEHR archetypes. Method: An exhaustive literature search in the computer science field. We used the databases: IEEE Digital Library, ACM Digital Library, Science Direct, Scopus and Springer Link. The screening process involved applying suitable selection criteria to 361 publications to define the scope for selecting the appropriate papers. Results: The nine selected papers were grouped into five categories, in which we identified some connection points between the papers, and we realized that any gaps in one paper are complemented by the other papers. Conclusion: The research contributed to the construction of a theoretical reference on methodologies for developing openEHR archetypes, as well as showing that it is a growing research topic and there are some aspects that require further study.
References
Conde AM. Towards best practice in the Archetype Development Process [Dissertation]. Dublin: The University of Dublin - Trinity College Dublin, Center for Health Informatics, Department of Computer Science; 2010. [Internet]; [cited 2020 Oct 29]. [Accessed 2022 Jun 13]. Available from: <https://www.scss.tcd.ie/publications/theses/diss/2010/TCD-SCSS-DISSERTATION-2010-016.pdf>.
OpenEHR Foundation. What is openEHR?. c2022. [Internet]; [cited 2020 Oct 29]. [Accessed 2022 Jun 13]. Available from: <https://www.openehr.org/>
Cruz-Correia R, Ferreira D, Bacelar G, Marques P, Maranhão P. Personalised medicine challenges: quality of data. International Journal of Data Science and Analytics 2018; 6:251-259. DOI: https://doi.org/10.1007/s41060-018-0127-9
Braga RD, Lucena FN, Leitão-Junior PS. Registro Eletrônico de Saúde em Saúde Interoperável: os desafios do padrão OpenEHR. J. Health Inform. 2016; 8(3):103-9.
Kitchenham B, Charters S. Guidelines for performing systematic literature reviews in software engineering, Tech. Rep. EBSE 2007–001, Keele University and University of Durham, 2007.
Kitchenham B. Procedures for performing systematic reviews, Keele University, Department of Computer Science, Keele University, UK, Tech. rep., 2004.
Eguzkiza, A., Trigo, J.D., Martínez-Espronceda, M., Serrano, L., Andonegui, J. Formalize clinical processes into electronic health information systems: Modelling a screening service for diabetic retinopathy. Journal of Biomedical Informatics 2015; 56: 112-126. Available from: <https://doi.org/10.1016/j.jbi.2015.05.017>. DOI: https://doi.org/10.1016/j.jbi.2015.05.017
Moner D, Maldonado JA, Robles M. Archetype modeling methodology. Journal of Biomedical Informatics 2018; 79:71-81. Available from: <https://doi.org/10.1016/j.jbi.2018.02.003>. DOI: https://doi.org/10.1016/j.jbi.2018.02.003
Maranhão PA, Bacelar-Silva GM, Gonçalves-Ferreira DN, Calhau C, Vieira-Marques P, Alvarenga M, et al. OpenEHR modeling applied to eating disorders in clinical practice. In: 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), 2018, 36-41. [Internet]; [cited 2020 Oct 29]. [Accessed 2022 Jun 13]. Available from: <https://ieeexplore.ieee.org/document/8417209>.
Maranhão PA, Bacelar-Silva GM, Gonçalves-Ferreira DN, Marques PV, Cruz-Correia RJ. Relevant lifelong nutrition information for the prevention and treatment of childhood obesity - Design and creation of new openEHR archetype set. In: 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), 2017, 236-241. [Internet]; [cited 2020 Oct 29]. [Accessed 2022 Jun 13]. Available from: <https://doi.org/10.1109/CBMS.2017.96>.
Pahl C, Zare M, Nilashi M, Borges MAF, Weingaertner D, Detschew V, et al. Role of OpenEHR as an open source solution for the regional modelling of patient data in obstetrics. Journal of Biomedical Informatics 2015; 55:174-187. Available from: <https://doi.org/10.1016/j.jbi.2015.04.004>. DOI: https://doi.org/10.1016/j.jbi.2015.04.004
Braun M, Brandt AU, Schulz S, Boeker M. Validating archetypes for the Multiple Sclerosis Functional Composite. Medical Informatics & Decision Making 2014; 14: 64. Available from: <https://doi.org/10.1186/1472-6947-14-64>. DOI: https://doi.org/10.1186/1472-6947-14-64
Santos MR, Bax MP, Kalra D. Dealing with the Archetypes Development Process for a Regional EHR System. Appl Clin Inf. 2012; 3:258-275. Available from: <http://dx.doi.org/10.4338/ACI-2011-12-RA-0074>. DOI: https://doi.org/10.4338/ACI-2011-12-RA-0074
Papež V, Mouček R. Applying an Archetype-Based Approach to Electroencephalography/Event-Related Potential Experiments in the EEGBase Resource. Front. Neuroinform. 2017; 11:24. Available from: <https://doi.org/10.3389/fninf.2017.00024>. DOI: https://doi.org/10.3389/fninf.2017.00024
Marcos M, Maldonado JA, Martínez-Salvador B, Boscá D, Robles M. Interoperability of clinical decision-support systems and electronic health records using archetypes: A case study in clinical trial eligibility. Journal of Biomedical Informatics 2012; 46:676-689. Available from: <https://doi.org/10.1016/j.jbi.2013.05.004>. DOI: https://doi.org/10.1016/j.jbi.2013.05.004
CKM. Clinical Knowledge Manager. c2022 [Internet]; [cited 2020 Oct 29]. [Accessed 2022 Jun 13]. Available from: <https://www.openehr.org/ckm>.
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