Prescriptive Analytics-based Methodologies for Healthcare Data: A Systematic Literature Review | Mendoza-Olguín | Computación y Sistemas

Prescriptive Analytics-based Methodologies for Healthcare Data: A Systematic Literature Review

Gustavo Emilio Mendoza-Olguín, María Josefa Somodevilla-García, Concepción Pérez-de-Celis, Yanin Chavarri-Guerra

Abstract


This paper reviews the use of prescriptive approaches to develop personalised treatment plans in healthcare. A systematic literature review was conducted to identify existing methodologies developed for suggesting treatments in medicine using Systematic Mapping Process, PRISMA methodology, and recommended Critical Appraisal Tools. A final set of 30 documents was analised. The findings indicate that despite efforts to establish prescriptive methodologies, there remains a significant gap in formalising the recommendations within frameworks and by healthcare professionals. Moreover, limited evidence exists on the effective implementation of these proposals in real-world scenarios.


Keywords


Prescriptive analytics, personalized medicine, prescriptive methodology, data science

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