Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

A Hybrid Approach for Designing Dynamic and Data-Driven Clinical Pathways Point of Care Instruments in Low Resource Settings

Domaine:

healthcare

Type de record:

paper
Créateur:
GelDemGirFra
Éditeur:
IOS
Hôte:
Though a clinical pathway is one of the tools used to guide evidence-based healthcare, promoting the practice of evidence-based decisions on healthcare services is incredibly challenging in low resource settings (LRS). This paper proposed a novel approach for designing an automated and dynamic generation of clinical pathways (CPs) in LRS through a hybrid (knowledge-based and data-driven based) algorithm that works with limited clinical input and can be updated whenever new information is available. Our proposed approach dynamically maps and validate the knowledge-based clinical pathways with the local context and historical evidence to deliver a multi-criteria decision analysis (concordance table) for adjusting or readjusting the order of knowledge-based CPs decision priority. Our finding shows that the developed approach successfully delivered probabilistic-based CPs and found a promising result with Jimma Health Center “pregnancy, childbearing, and family planning” dataset.

Visit

doi.org

Licenses

https://creativecommons.org/licenses/by-nc/4.0/

Similaires

Designing a Swahili-Speaking Medical Chatbot for Oncology, Dermatology, and Otorhinolaryngology Care in Low-Resource SettingsEvaluation of a Computer-Aided Clinical Decision Support System for Point-of-Care Use in Low-Resource Primary Care Settings: Acceptability Evaluation Study (Preprint)Electronic clinical decision support algorithms incorporating point-of-care diagnostic tests in low-resource settings: a target product profileEvaluating a clinical decision support point of care instrument in low resource settingInnovations in Data-Driven Approaches to Improve Sepsis Care for Children in Low-Resource Settings (presentations) ~ QIPolarization Detection: A Hybrid Approach with AfroXLMR-Social and DeBERTa for Low- and High-Resource Settings

Designing a Swahili-Speaking Medical Chatbot for Oncology, Dermatology, and Otorhinolaryngology Care in Low-Resource Settings

Evaluation of a Computer-Aided Clinical Decision Support System for Point-of-Care Use in Low-Resource Primary Care Settings: Acceptability Evaluation Study (Preprint)

BACKGROUND A clinical decision support system (CDSS) based on the logic an

Electronic clinical decision support algorithms incorporating point-of-care diagnostic tests in low-resource settings: a target product profile

Health workers in low-resource settings often lack the support and tools to follow evidence-based cl

Evaluating a clinical decision support point of care instrument in low resource setting

Abstract Background Clinical pathways are one of the main tools to manage the health care’s quality

Innovations in Data-Driven Approaches to Improve Sepsis Care for Children in Low-Resource Settings (presentations) ~ QI

In November 2022, the Centre for International Child Health (CICH) at BC Children's Hospital brought

Polarization Detection: A Hybrid Approach with AfroXLMR-Social and DeBERTa for Low- and High-Resource Settings

The rapid proliferation of online polarization threatens social cohesion, necessitating robust autom