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Healthcare data management conceptual framework for service delivery
In the context of South Africa, what we do know is that huge amount of healthcare data does exist and that they are consciously and unconsciously scattered in bits and pieces across facilities within the country. This has directly or indirectly resulted to underutilisation of data, which affects ser...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803662/ https://www.ncbi.nlm.nih.gov/pubmed/33456311 http://dx.doi.org/10.1007/s10639-020-10413-y |
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author | Iyamu, Tiko Nunu, Khaya |
author_facet | Iyamu, Tiko Nunu, Khaya |
author_sort | Iyamu, Tiko |
collection | PubMed |
description | In the context of South Africa, what we do know is that huge amount of healthcare data does exist and that they are consciously and unconsciously scattered in bits and pieces across facilities within the country. This has directly or indirectly resulted to underutilisation of data, which affects service delivery to the community. For example, many patients have been wrongly diagnosed, and some others have been given wrong medications due to duplication of prescriptions, which were influenced by lack of real-time information. Consequently, there have been loss and damages to lives, contributing to the mortality rate in the country. This study was undertaken on the premise of these challenges, to develop a conceptual framework that can guide how data could be managed towards improved services within the South African healthcare facilities. The interpretive approach was employed. Qualitative data were gathered from existing works. Structuration theory was applied as a lens to guide the analysis of the data. From the findings, a framework was developed, primarily to guide and advance the waysin which data are stored, retrieved, managed, and used for healthcare improved services. |
format | Online Article Text |
id | pubmed-7803662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-78036622021-01-13 Healthcare data management conceptual framework for service delivery Iyamu, Tiko Nunu, Khaya Educ Inf Technol (Dordr) Article In the context of South Africa, what we do know is that huge amount of healthcare data does exist and that they are consciously and unconsciously scattered in bits and pieces across facilities within the country. This has directly or indirectly resulted to underutilisation of data, which affects service delivery to the community. For example, many patients have been wrongly diagnosed, and some others have been given wrong medications due to duplication of prescriptions, which were influenced by lack of real-time information. Consequently, there have been loss and damages to lives, contributing to the mortality rate in the country. This study was undertaken on the premise of these challenges, to develop a conceptual framework that can guide how data could be managed towards improved services within the South African healthcare facilities. The interpretive approach was employed. Qualitative data were gathered from existing works. Structuration theory was applied as a lens to guide the analysis of the data. From the findings, a framework was developed, primarily to guide and advance the waysin which data are stored, retrieved, managed, and used for healthcare improved services. Springer US 2021-01-13 2021 /pmc/articles/PMC7803662/ /pubmed/33456311 http://dx.doi.org/10.1007/s10639-020-10413-y Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Iyamu, Tiko Nunu, Khaya Healthcare data management conceptual framework for service delivery |
title | Healthcare data management conceptual framework for service delivery |
title_full | Healthcare data management conceptual framework for service delivery |
title_fullStr | Healthcare data management conceptual framework for service delivery |
title_full_unstemmed | Healthcare data management conceptual framework for service delivery |
title_short | Healthcare data management conceptual framework for service delivery |
title_sort | healthcare data management conceptual framework for service delivery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803662/ https://www.ncbi.nlm.nih.gov/pubmed/33456311 http://dx.doi.org/10.1007/s10639-020-10413-y |
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