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

Authors

  • Gustavo Emilio Mendoza-Olguín Benemérita Universidad Autónoma de Puebla
  • María Josefa Somodevilla-García Benemérita Universidad Autónoma de Puebla
  • Concepción Pérez-de-Celis Benemérita Universidad Autónoma de Puebla.
  • Yanin Chavarri-Guerra Instituto Nacional de Ciencias Médicas y Nutrición “Salvador Zubirán”

DOI:

https://doi.org/10.13053/cys-28-4-5282

Keywords:

Prescriptive analytics, personalized medicine, prescriptive methodology, data science

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.

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Published

2024-12-03

Issue

Vol. 28 No. 4 (2024): 28(4) 2024

Section

Articles of the Thematic Section

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