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Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record

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Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record

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González-Ferrer, A.; Peleg, M.; Marcos, M.; Maldonado Segura, JA. (2016). Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record. Journal of Medical Systems. 40(7):1-10. https://doi.org/10.1007/s10916-016-0524-3

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Título: Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record
Autor: González-Ferrer, A. Peleg, M. Marcos, Mar Maldonado Segura, José Alberto
Fecha difusión:
Resumen:
[EN] Delivering patient-specific decision-support based on computer-interpretable guidelines (CIGs) requires mapping CIG clinical statements (data items, clinical recommendations) into patients data. This is most effectively ...[+]
Palabras clave: Clinical decision-support systems , Clinical guidelines , Computer-interpretable guidelines , Data integration , OpenEHR archetypes , HL7 virtual Medical Record (vMR)
Derechos de uso: Cerrado
Fuente:
Journal of Medical Systems. (issn: 0148-5598 )
DOI: 10.1007/s10916-016-0524-3
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s10916-016-0524-3
Código del Proyecto:
info:eu-repo/grantAgreement/EC/FP7/287811/EU/Guiding Patients Anytime Everywhere/
info:eu-repo/grantAgreement/MINECO//TIN2014-53749-C2-1-R/ES/MODELOS DE INFORMACION Y CONOCIMIENTO CLINICOS PARA ENLAZAR LOS SISTEMAS DE HISTORIA CLINICA ELECTRONICA Y DE AYUDA A LA DECISION CLINICA I/
info:eu-repo/grantAgreement/MINECO//PTQ-12-05620/ES/PTQ-12-05620/
Agradecimientos:
This study was partially funded by the European Commission 7th Framework Program, grant #287811. It has also been supported by the Spanish Ministry of Economy and Competitiveness and the EU FEDER programme through project ...[+]
Tipo: Artículo

References

Peleg, M., Computer-interpretable clinical guidelines: a methodological review. J. Biomed. Inform. 46:744–763, 2013.

Peleg, M., Shahar, Y., and Quaglini, S., Making healthcare more accessible, better, faster, and cheaper: the MobiGuide Project. Eur. J. e-Pract. 20:5–20, 2014.

ISO (2011) ISO 18308:2011. Health Informatics—Requirements for an Electronic Health Record Architecture. http://www.iso.org/iso/catalogue_detail?csnumber=52823 . Accessed 29 Dec 2015 [+]
Peleg, M., Computer-interpretable clinical guidelines: a methodological review. J. Biomed. Inform. 46:744–763, 2013.

Peleg, M., Shahar, Y., and Quaglini, S., Making healthcare more accessible, better, faster, and cheaper: the MobiGuide Project. Eur. J. e-Pract. 20:5–20, 2014.

ISO (2011) ISO 18308:2011. Health Informatics—Requirements for an Electronic Health Record Architecture. http://www.iso.org/iso/catalogue_detail?csnumber=52823 . Accessed 29 Dec 2015

Lenzerini M., Data integration: a theoretical perspective. In: Popa L (Ed). Proc. 21st ACM SIGMOD-SIGACT-SIGART Symp. Princ. database Syst. pp 233–246, 2002.

Peleg, M., Keren, S., and Denekamp, Y., Mapping computerized clinical guidelines to electronic medical records: knowledge-data ontological mapper (KDOM). J. Biomed. Inform. 41:180–201, 2008.

Marcos, M., Maldonado, J. A., Martínez-Salvador, B., Boscá, D., and Robles, M., Interoperability of clinical decision-support systems and electronic health records using archetypes: a case study in clinical trial eligibility. J. Biomed. Inform. 46:676–689, 2013.

Friedman M, Levy AY, Millstein TD, et al. Navigational plans for data integration. In: Hendler J, Subramanian D (Eds). Proc. 16th Natl. Conf. Artif. Intell. AAAI Press, Orlando, Florida, pp 67–73, 1999.

Parker, C. G., Ms, S. W. T., Huff, S. M,. Detailed clinical models for sharable, executable guidelines. In: Fieschi M, Coiera E, Li Y-CJ (Eds). Proc. 11th World Congr. Med. Informatics. IOS Press, San Francisco (USA), pp 145–148, 2004

Tao, C., Jiang, G., Oniki, T. A., Freimuth, R. R., Zhu, Q., Sharma, D., Pathak, J., Huff, S. M., and Chute, C. G., A semantic-web oriented representation of the clinical element model for secondary use of electronic health records data. J. Am. Med. Informa. Assoc. 20:554–562, 2013.

German, E., Leibowitz, A., and Shahar, Y., An architecture for linking medical decision-support applications to clinical databases and its evaluation. J. Biomed. Inf. 42:203–218, 2009.

Cho, I., Kim, J., Kim, J. H., Kim, H. Y., and Kim, Y., Design and implementation of a standards-based interoperable clinical decision support architecture in the context of the Korean EHR. Int. J. Med. Inform. 79:611–622, 2010.

Tu, S. W., Campbell, J. R., Glasgow, J., et al., The SAGE guideline model: achievements and overview. J. Am. Med. Informa. Assoc. 14:589–598, 2007.

Health Level Seven (2014) HL7 Version 3 Standard: clinical decision support; Virtual Medical Record (vMR) Logical Model, Release 2. http://www.hl7.org/implement/standards/product_brief.cfm?product_id=338 . Accessed 14 Jan 2016.

Marcos, M., Maldonado, J., Martínez-Salvador, B., Moner, D., Boscá, D., and Robles, M., An archetype-based solution for the interoperability of computerised guidelines and electronic health records. In: Peleg, M., Lavrač, N., and Combi, C. (Eds.), Artif. Intell. Med. Springer, Bled, Slovenia, pp. 276–285, 2011.

González-Ferrer, A., and Peleg, M., Understanding requirements of clinical data standards for developing interoperable knowledge-based DSS: a case study. Comput Stand Interfaces 42:125–136, 2015.

González-Ferrer, A., Peleg, M., Verhees, B., Verlinden, J. M., Marcos, C., Data integration for clinical decision support based on openEHR archetypes and HL7 virtual medical record. In: Lenz R, Miksch S, Peleg M, Reichert M, Riaño D, ten Teije A (eds) Proc. BPM Jt. Work. ProHealth12/KR4HC12 (LNAI 7738). Springer, Tallinn, Estonia, pp 71–84, 2013

January, C. T., Wann, L. S., Alpert, J. S., et al., 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. J. Am. Coll. Cardiol. 64:e1–e76, 2014.

Health NCC for W and C, Guidelines: management of diabetes from preconception to the postnatal period: summary of NICE guidance. BMJ Br. Med. J. 336:714, 2008.

Lindberg, C., The Unified Medical Language System (UMLS) of the National Library of Medicine. J. Am. Med. Rec. Assoc. 61:40–42, 1990.

NLM (2009) SNOMED Clinical Terms (SNOMED CT). http://www.ihtsdo.org/snomed-ct . Accessed 14 Jan 2016.

Maldonado, J. A., Moner, D., Boscá, D., Fernández-Breis, J. T., Angulo, C., and Robles, M., LinkEHR-Ed: a multi-reference model archetype editor based on formal semantics. Int. J. Med. Inform. 78:559–570, 2009.

von Alan, R. H., March, S. T., Park, J., and Ram, S., Design science in information systems research. MIS Q 28:75–105, 2004.

Fink, A., Kosecoff, J., Chassin, M., and Brook, R. H., Consensus methods: characteristics and guidelines for use. Am. J. Public Health 74:979–983, 1984.

Markwell, D., Sato, L., Cheetham, E., Representing clinical information using SNOMED clinical terms with different structural information models. In: Cornet R, Spackman K (Eds). Proc. Third Int. Conf. Knowl. Represent. Med. CEUR, Phoenix, pp 72–79, 2008.

Rector, A. L., Qamar, R., and Marley, T., Binding ontologies and coding systems to electronic health records and messages. Appl. Ontol. 4:51–69, 2009.

González-Ferrer, A., Peleg, M., Parimbelli, E., Shalom, E., Lagunar, C. M., Klebanov, G., Martínez-Sarriegui, I., Fung, N. L. S., Broens, T., Use of the virtual medical record data model for communication among components of a distributed decision-support system. In: Proc. 2nd IEEE Biomed. Heal. Informatics Int. Conf. IEEE Computer Society, Valencia, Spain, pp 526–530, 2014

Patel, V. L., Branch, T., Wang, E., Peleg, M., Boxwala, A., et al., Analysis of the process of encoding guidelines: a comparison of GLIF2 and GLIF3. Methods Inf. Med. 41:105–113, 2002.

Marcos, C., González-Ferrer, A., Peleg, M., and Cavero, C., Solving the interoperability challenge of a distributed complex patient guidance system: a data integrator based on HL7’s Virtual Medical Record standard. J. Am. Med. Assoc. 22:587–599, 2015.

Beale, T., ISO 18308 Conformance Statement release 1.0.1, 2006

Health Level Seven (2015) HL7 Version 3 Standard: Clinical Decision Support; Virtual Medical Record (vMR) Templates, Release 1. http://www.hl7.org/implement/standards/product_brief.cfm?product_id=339 . Accessed 14 Jan 2016.

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