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Managing E-Patient Case Notes in Tertiary Hospitals: A Sub-Saharan African Experience

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Listed:
  • Emmanuel Ajayi Olajubu

    (Obafemi Awolowo University, Nigeria)

  • Ezekiel Aliyu

    (Obafemi Awolowo University, Nigeria)

  • Adesola Ganiyu Aderounmu

    (Obafemi Awolowo University, Nigeria)

  • Kamagate Beman Hamidja

    (Laboratoire de Recherche en Informatique et Télécommunication, Côte d'Ivoire)

Abstract

Telemedicine is the use of information and communication technologies to extend healthcare work to the vulnerable in the rural areas. It is unfortunate that telemedicine is yet to be deployed in sub Sahara Africa where there is acute shortage of medical professionals with many rural dwellers without medical facilities. This paper proposes an electronic Patient’s Case-Note to replace existing manual method so as to mitigate the challenges associated with manual record keeping. The tree theory was used to motivate the information follows which the basis for the theoretical framework for the study also presented is the Cyclic structure that depicts information flow in the system. The conceptual model and the algorithms to implement the model are presented. The Model was implemented and few screenshot presented.

Suggested Citation

  • Emmanuel Ajayi Olajubu & Ezekiel Aliyu & Adesola Ganiyu Aderounmu & Kamagate Beman Hamidja, 2021. "Managing E-Patient Case Notes in Tertiary Hospitals: A Sub-Saharan African Experience," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 16(4), pages 1-19, October.
    • Handle: RePEc:igg:jhisi0:v:16:y:2021:i:4:p:1-19
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    References listed on IDEAS

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    1. Hongyu Han & Yongshi Zhang & Jianpei Zhang & Jing Yang & Xiaomei Zou, 2018. "Improving the performance of lexicon-based review sentiment analysis method by reducing additional introduced sentiment bias," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-11, August.
    2. Jorge Carrillo-de-Albornoz & Javier Rodríguez Vidal & Laura Plaza, 2018. "Feature engineering for sentiment analysis in e-health forums," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-25, November.
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