Markov chains in the improvement of hospital patient flows: a bibliometric analysis
Keywords:
Markov chain, hospital management, patient flows, bibliometric analysis, processAbstract
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.
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