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Economic Losses Reduction Through the Implementation of Statistical Process Control: Case Study in the Process of Medical Accounts in a Technology Company

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11703))

Abstract

Statistical process control (SPC) is one of the most important tools for process continuous improvement. Its usefulness lies on the fact that it helps in the identification of causes of variation in the process. This allows the decision maker to take the corresponding actions in such a way that the improvement of the associated indicators is achieved. In this particular case, the methodology of the SPC was used to intervene a process of verification and collection of medical accounts by a technology company. The errors in these accounts can cause that the health companies do not pay the correct amount to hospitals. This situation may affect the service to users or that the health companies have economic losses. The implementation of the statistical process control (SPC) had a big impact in the identification of problems, stabilization of the process, and improvement of satisfaction and reduction of quality costs.

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Correspondence to Javier Velásquez Rodríguez .

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Ospino Barraza, G., Neira Rodado, D., Borrero López, L.A., Velásquez Rodríguez, J., Royert, G. (2019). Economic Losses Reduction Through the Implementation of Statistical Process Control: Case Study in the Process of Medical Accounts in a Technology Company. In: Saeed, K., Chaki, R., Janev, V. (eds) Computer Information Systems and Industrial Management. CISIM 2019. Lecture Notes in Computer Science(), vol 11703. Springer, Cham. https://doi.org/10.1007/978-3-030-28957-7_23

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  • DOI: https://doi.org/10.1007/978-3-030-28957-7_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28956-0

  • Online ISBN: 978-3-030-28957-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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