Software component for the process of requests for evaluation of neurophysiological studies in the XAVIA HIS System
Keywords:
medical care, medical records systems, computerized, electronic health records, eHealth strategies, neurophysiology.Abstract
Introduction: The Neurophysiology specialty deals with the nervous system (central and peripheral) study and assessment and its functional modification and the sense and muscular organs, both in normal and pathological conditions. Information standardization on this specialty is complex because each Cuban hospital institution has its own management sources. This situation makes it difficult to homogenize the data, gather statistical information and include it in the Cuban patient unique digital medical record.Objective: Describe a software component that computerizes neurophysiological studies requests for Cuban health institutions that use the XAVIA HIS Hospital Information System.
Method: Specialists from the Cuban Neuroscience Center CNEURO were interviewed to define the neurophysiological studies requests management process. The semi-structured interview was applied, which allowed the adaptation to the interviewees in order to clarify terms, identify ambiguities and reduce formalisms. Free software tools were used for development (JBoss Developer Studio as an integrated development environment, Java as an object-oriented programming language, JBoss as an application server and PostgreSQL v9.4 as a database management system) that guarantee the Cuban software development and technological sovereignty policies.
Results: Neurophysiological studies requests in the XAVIA HIS system were computerized using a software component, based on the HL7-CDA standard for clinical documents.
Conclusions: Neurophysiology specialists have functionalities for the specialty information standardization, storage, and management, which leads to the XAVIA HIS system digital medical record enrichment.
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References
1. iCalvet JG. Las TIC y la salud. Las TIC y la salud. Madrid: Universitat Oberta de Catalunya. 2015. [acceso: 09/02/2020]. Disponible en: https://www.hospitalitaliano.org.ar/multimedia/archivos/noticias_attachs/68/documentos/12427_las%20tic%20-y%20la%20salud.pdf
2. Orellana A, Cisneros VA, Miranda MA. Software de gestión y análisis de los casos de intoxicaciones por plaguicidas-PlaguiTox. Rev Cubana Med Milit; 2020. [acceso: 22/05/2020]; 49(2):375-87. Disponible en: https://www.revmedmilitar.sld.cu/index.php/mil/article/view/482
3. Orellana A, Larrea OU, Perez YE, Perez D. Inductive visual miner plugin customization for the detection of eventualities in the processes of a hospital information system. IEEE Latin America Transactions. 2016[acceso: 14/03/2020]; 14(4):1930-36. Disponible en: https://ieeexplore.ieee.org/abstract/document/7483536
4. Shkurovich Bialik P. La neurofisiología clínica en la práctica médica. Anales Médicos de la Asociación Médica del Centro Médico ABC. 2016 Jun 23[acceso: 02/09/2019];61(2):84-6. Disponible en: https://www.medigraphic.com/pdfs/abc/bc-2016/bc162a.pdf
5. Morales G, Artieda J. La neurofisiología clínica: pasado, presente y futuro. Anales del Sistema Sanitario de Navarra. 2009[acceso: 06/07/2019];32(sup.3):5-8. Disponible en: https://scielo.isciii.es/pdf/asisna/v32s3/original1.pdf
6. González-Hidalgo M. Indicaciones de los estudios neurofisiológicos en el dolor lumbar. Revista de neurología. 2006 [acceso: 18/08/2019];43(10):618-20. Disponible en: https://dialnet.unirioja.es/servlet/articulo?codigo=1250850
7. González-Hidalgo M. Estudios neurofisiológicos de la unión neuromuscular. Revista de neurología. 2005[acceso: 18/08/2019];41(3):163-76. Disponible en: https://dialnet.unirioja.es/servlet/articulo?codigo=1250850
8. Sommerville I. Ingeniería del software. 7 ed. Madrid: Editorial Pearson educación SA; 2005.
9. Pressman RS. Ingeniería del Software. Un enfoque práctico. 7 ed. México: McGraw-Hill Interamericana; 2010.
10. Castillo AS, Reyes AL, Milanés DL, Ramírez EM, Pedrón AM, Méndez JC. SLD217 SEN: Sistema Experto en Neurofisiología. En: Convención Informática; 2013; La Habana, Cuba. [acceso: 20/11/2019]. Disponible en: https://www.informatica2013.sld.cu/index.php/informaticasalud/2013/paper/viewFile/449/262
11. Romero YV, Larquin YD, González YL, Enríquez E, Mulet G. Evaluación del Neurodesarrollo en Niños para el Hospital Pediátrico William Soler. En: IV Jornada Nacional de Ciencias de la Información en Salud; 2014; La Habana, Cuba. [acceso: 20/11/2019]. Disponible en: https://www.jornada2014.sld.cu/index.php/jornada/2014/paper/download/20/42
12. Cañizares N, Gurris L, Acosta T, Vilches, I. Sistema cliente servidor para automatizar el análisis y entrega de resultados de estudios neurofisiológicos en el Hospital General Santiago. En: VI Congreso Internacional de Informática en Salud; 2007: La Habana, Cuba. [acceso: 20/11/2019]. Disponible en: https://www.bvs.hn/cu-2007/ponencias/SLD/SLD065.pdf
2. Orellana A, Cisneros VA, Miranda MA. Software de gestión y análisis de los casos de intoxicaciones por plaguicidas-PlaguiTox. Rev Cubana Med Milit; 2020. [acceso: 22/05/2020]; 49(2):375-87. Disponible en: https://www.revmedmilitar.sld.cu/index.php/mil/article/view/482
3. Orellana A, Larrea OU, Perez YE, Perez D. Inductive visual miner plugin customization for the detection of eventualities in the processes of a hospital information system. IEEE Latin America Transactions. 2016[acceso: 14/03/2020]; 14(4):1930-36. Disponible en: https://ieeexplore.ieee.org/abstract/document/7483536
4. Shkurovich Bialik P. La neurofisiología clínica en la práctica médica. Anales Médicos de la Asociación Médica del Centro Médico ABC. 2016 Jun 23[acceso: 02/09/2019];61(2):84-6. Disponible en: https://www.medigraphic.com/pdfs/abc/bc-2016/bc162a.pdf
5. Morales G, Artieda J. La neurofisiología clínica: pasado, presente y futuro. Anales del Sistema Sanitario de Navarra. 2009[acceso: 06/07/2019];32(sup.3):5-8. Disponible en: https://scielo.isciii.es/pdf/asisna/v32s3/original1.pdf
6. González-Hidalgo M. Indicaciones de los estudios neurofisiológicos en el dolor lumbar. Revista de neurología. 2006 [acceso: 18/08/2019];43(10):618-20. Disponible en: https://dialnet.unirioja.es/servlet/articulo?codigo=1250850
7. González-Hidalgo M. Estudios neurofisiológicos de la unión neuromuscular. Revista de neurología. 2005[acceso: 18/08/2019];41(3):163-76. Disponible en: https://dialnet.unirioja.es/servlet/articulo?codigo=1250850
8. Sommerville I. Ingeniería del software. 7 ed. Madrid: Editorial Pearson educación SA; 2005.
9. Pressman RS. Ingeniería del Software. Un enfoque práctico. 7 ed. México: McGraw-Hill Interamericana; 2010.
10. Castillo AS, Reyes AL, Milanés DL, Ramírez EM, Pedrón AM, Méndez JC. SLD217 SEN: Sistema Experto en Neurofisiología. En: Convención Informática; 2013; La Habana, Cuba. [acceso: 20/11/2019]. Disponible en: https://www.informatica2013.sld.cu/index.php/informaticasalud/2013/paper/viewFile/449/262
11. Romero YV, Larquin YD, González YL, Enríquez E, Mulet G. Evaluación del Neurodesarrollo en Niños para el Hospital Pediátrico William Soler. En: IV Jornada Nacional de Ciencias de la Información en Salud; 2014; La Habana, Cuba. [acceso: 20/11/2019]. Disponible en: https://www.jornada2014.sld.cu/index.php/jornada/2014/paper/download/20/42
12. Cañizares N, Gurris L, Acosta T, Vilches, I. Sistema cliente servidor para automatizar el análisis y entrega de resultados de estudios neurofisiológicos en el Hospital General Santiago. En: VI Congreso Internacional de Informática en Salud; 2007: La Habana, Cuba. [acceso: 20/11/2019]. Disponible en: https://www.bvs.hn/cu-2007/ponencias/SLD/SLD065.pdf
Published
2020-10-06
How to Cite
1.
Orellana García A, Vega Izaguirre L, Laguardia Sánchez LM, Garrido Saroza A. Software component for the process of requests for evaluation of neurophysiological studies in the XAVIA HIS System. Rev Cubana Med Milit [Internet]. 2020 Oct. 6 [cited 2025 Jul. 6];49(4):e0200651. Available from: https://revmedmilitar.sld.cu/index.php/mil/article/view/651
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