<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1684-1824</journal-id>
<journal-title><![CDATA[Revista Médica Electrónica]]></journal-title>
<abbrev-journal-title><![CDATA[Rev.Med.Electrón.]]></abbrev-journal-title>
<issn>1684-1824</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Ciencias Médicas de Matanzas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1684-18242024000100065</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Markov chains in the improvement of hospital patient flows: a bibliometric analysis]]></article-title>
<article-title xml:lang="en"><![CDATA[Cadenas de Markov en la mejora de los flujos de pacientes hospitalarios: un análisis bibliométrico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez-Suárez]]></surname>
<given-names><![CDATA[Yasniel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Marqués-León]]></surname>
<given-names><![CDATA[Maylín]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez-Castillo]]></surname>
<given-names><![CDATA[Verenice]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Matanzas  ]]></institution>
<addr-line><![CDATA[ Matanzas]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de la Amazonia  ]]></institution>
<addr-line><![CDATA[Florencia Caquetá]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2024</year>
</pub-date>
<volume>46</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1684-18242024000100065&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1684-18242024000100065&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1684-18242024000100065&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[ABSTRACT  Introduction: The management of patient flows influences hospital performance, and Markov chains are used to model them, helping to plan capacity, allocate resources and schedule admissions.  Objective: To evaluate the scientific activity related to the application of Markov chains in the improvement of patient flows in hospital institutions.  Methods: An observational, descriptive and retrospective bibliometric study was applied; the ScienceDirect database was used. The strategy was divided into three: evolution of the application of Markov chains in hospitals; specifically for management; and for the improvement of patient flows; 520, 331 and 9 documents were located, respectively.  Results: Research articles predominated, which accounted for 87.91 % of the scientific production. A total of 58.24 % of the articles were in the area of decision science. An analysis of the journals shows that 85.71 % were located in quartile 1, of which the one with the highest production was the European Journal of Operational Research. Four main lines of research were identified: resource optimization; capacity planning; policy development for activity sequencing; and modeling for improvement and decision making.  Conclusions: Future research should focus on collaborative analysis, country-specific productivity and generalization to other international impact databases.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[RESUMEN  Introducción: La gestión de flujos de pacientes influye en el rendimiento hospitalario. Para su modelación, se implementan las cadenas de Markov que contribuyen a planificar la capacidad, asignar recursos y programar ingresos.  Objetivo: Evaluar la actividad científica relacionada con la aplicación de las cadenas de Markov en la mejora de los flujos de pacientes en instituciones hospitalarias.  Métodos: Se aplicó un estudio bibliométrico de tipo observacional, descriptivo y retrospectivo. Se utilizó la base de datos ScienceDirect. La estrategia se dividió en tres: evolución de la aplicación de las cadenas de Markov en hospitales, específicamente para la gestión, y para la mejora de los flujos de pacientes. Se localizaron 520, 331 y 9 documentos respectivamente.  Resultados: Predominaron los artículos de investigación, los cuales representaron el 87,91 % de la producción científica. El 58,24 % de los artículos se encontraron en el área de la ciencia de la decisión. Un análisis de las revistas evidencia que el 85,71 % se encontró ubicado en el cuartil 1; de ellas, la de mayor producción fue European Journal of Operational Research. Se identificaron cuatro líneas de investigación principales: optimización de recursos, planificación de la capacidad, desarrollo de políticas para la secuenciación de las actividades, y modelación en función de la mejora y toma de decisiones.  Conclusiones: Las investigaciones futuras deben centrarse en el análisis de la colaboración, la productividad en función del país y la generalización en otras bases de datos de impacto internacional.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Markov chain]]></kwd>
<kwd lng="es"><![CDATA[hospital management]]></kwd>
<kwd lng="es"><![CDATA[patient flows]]></kwd>
<kwd lng="es"><![CDATA[bibliometric analysis]]></kwd>
<kwd lng="es"><![CDATA[process]]></kwd>
<kwd lng="en"><![CDATA[cadenas de Markov]]></kwd>
<kwd lng="en"><![CDATA[gestión hospitalaria]]></kwd>
<kwd lng="en"><![CDATA[flujo de pacientes]]></kwd>
<kwd lng="en"><![CDATA[análisis bibliométrico]]></kwd>
<kwd lng="en"><![CDATA[proceso]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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<label>23</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sánchez Suárez]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Marqués León]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Hernández Nariño]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Modelación de los flujos de pacientes de alto riesgo con COVID-19 en Matanzas con enfoque Lean]]></article-title>
<source><![CDATA[Rev Méd Electrón]]></source>
<year>2023</year>
<volume>45</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>629-43</page-range></nlm-citation>
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</back>
</article>
