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Mobile Networks and Applications

17-01-2024 | Research

Machine Learning for Digital Shadow Design in Health Insurance Sector

Authors: Román Rodríguez-Aguilar, José-Antonio Marmolejo-Suacedo, Miriam Rodríguez-Aguilar, Liliana Marmolejo-Saucedo

Published in: Mobile Networks and Applications

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Abstract

The digital transformation process in organizations has accelerated significantly in recent years; the COVID-19 pandemic was a catalyst that highlighted the need for digitalization in all sectors. In the case of the health sector, this process is complex due to the processes inherent in health care as well as the integration of multiple sectors that allow the provision of health services. A first approach towards the construction of a Digital Twin in health organizations is a Digital Shadow that allows an orderly transition towards digital operation in real time. This paper presents a first approach to the design of a Digital Shadow for the health insurance sector and specifically for the care of patients diagnosed with COVID-19 through the implementation of an analytical intelligence system based on machine learning models to forecast and monitor to patients who represent catastrophic cases for the insurer.

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Title: Machine Learning for Digital Shadow Design in Health Insurance Sector
Authors: Román Rodríguez-Aguilar
José-Antonio Marmolejo-Suacedo
Miriam Rodríguez-Aguilar
Liliana Marmolejo-Saucedo
Publication date: 17-01-2024
Publisher: Springer US
Published in: Mobile Networks and Applications
Print ISSN: 1383-469X
Electronic ISSN: 1572-8153
DOI: https://doi.org/10.1007/s11036-023-02289-2

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