Though a clinical pathway is one of the tools used to guide evidence-based healthcare, promoting the practice of evi- dence-based decisions on healthcare services is incredibly challenging in low resource settings (LRS). This paper pro- posed a novel approach for designing an automated and dy- namic 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 ap- proach dynamically maps and validate the knowledge-based clinical pathways with the local context and historical evi- dence to deliver a multi-criteria decision analysis (concor- dance table) for adjusting or re-adjusting the order of knowl- edge-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.
Tegenaw, GS, Amenu, D, Ketema, G, Verbeke, F, Jan, C & Jansen, B 2022, A hybrid approach for designing dynamic and data-driven clinical pathways point of care instruments in low resource settings. in P Otero, P Scott, SZ Martin & E Huesing (eds), MedInfo 2021: One World, One Health: Global Partnership for Digital Innovation: Proceedings of the 18th World Congress on Medical and Health Informatics. MEDINFO 2021 edn, vol. 290, Studies in Health Technology and Informatics, vol. 290, pp. 316-320, Medinfo 2021 One World, One Health: Global Partnership for Digital Innovation
, 2/10/20. https://doi.org/10.3233/SHTI220087
Tegenaw, G. S., Amenu, D., Ketema, G., Verbeke, F., Jan, C., & Jansen, B. (2022). A hybrid approach for designing dynamic and data-driven clinical pathways point of care instruments in low resource settings. In P. Otero, P. Scott, S. Z. Martin, & E. Huesing (Eds.), MedInfo 2021: One World, One Health: Global Partnership for Digital Innovation: Proceedings of the 18th World Congress on Medical and Health Informatics (MEDINFO 2021 ed., Vol. 290, pp. 316-320). (Studies in Health Technology and Informatics; Vol. 290). https://doi.org/10.3233/SHTI220087
@inproceedings{b52908a8253f475dabc79495f30ed872,
title = "A hybrid approach for designing dynamic and data-driven clinical pathways point of care instruments in low resource settings",
abstract = "Though a clinical pathway is one of the tools used to guide evidence-based healthcare, promoting the practice of evi- dence-based decisions on healthcare services is incredibly challenging in low resource settings (LRS). This paper pro- posed a novel approach for designing an automated and dy- namic 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 ap- proach dynamically maps and validate the knowledge-based clinical pathways with the local context and historical evi- dence to deliver a multi-criteria decision analysis (concor- dance table) for adjusting or re-adjusting the order of knowl- edge-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.",
keywords = "Clinical Decision Support Systems, Clinical Pathway, Limited Resource Setting, Clinical Decision Support System, Clinical Workflow, Clinical Pathway, Patient flow, Point of Care Service",
author = "Tegenaw, \{Geletaw Sahle\} and Demisew Amenu and Girum Ketema and Frank Verbeke and Cornelis Jan and Bart Jansen",
year = "2022",
month = jun,
day = "6",
doi = "10.3233/SHTI220087",
language = "English",
isbn = "9781643682648",
volume = "290",
series = "Studies in Health Technology and Informatics",
publisher = "IOS PRESS BOOKS",
pages = "316--320",
editor = "Paula Otero and Philip Scott and Martin, \{Susan Z.\} and Elaine Huesing",
booktitle = "MedInfo 2021: One World, One Health: Global Partnership for Digital Innovation",
edition = "MEDINFO 2021",
note = "Medinfo 2021 One World, One Health: Global Partnership for Digital Innovation<br/>, October 2-4, 2021 ; Conference date: 02-10-2020 Through 04-10-2020",
url = "https://imia-medinfo.org/wp/event/medinfo-2021/",
}