A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies

<div><p>Background: The referral process is an important research focus because of the potential consequences of delays, especially for patients with serious medical conditions that need immediate care, such as those with metastatic cancer. Thus, a systematic literature review of recent...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Hesham Ali Behary Aboelkhir (18278677) (author)
مؤلفون آخرون: Adel Elomri (8984063) (author), Tarek Y. ElMekkawy (18278680) (author), Laoucine Kerbache (17148370) (author), Mohamed S. Elakkad (14779246) (author), Abdulla Al-Ansari (14150583) (author), Omar M. Aboumarzouk (14779240) (author), Abdelfatteh El Omri (18278683) (author)
منشور في: 2022
الموضوعات:
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author Hesham Ali Behary Aboelkhir (18278677)
author2 Adel Elomri (8984063)
Tarek Y. ElMekkawy (18278680)
Laoucine Kerbache (17148370)
Mohamed S. Elakkad (14779246)
Abdulla Al-Ansari (14150583)
Omar M. Aboumarzouk (14779240)
Abdelfatteh El Omri (18278683)
author2_role author
author
author
author
author
author
author
author_facet Hesham Ali Behary Aboelkhir (18278677)
Adel Elomri (8984063)
Tarek Y. ElMekkawy (18278680)
Laoucine Kerbache (17148370)
Mohamed S. Elakkad (14779246)
Abdulla Al-Ansari (14150583)
Omar M. Aboumarzouk (14779240)
Abdelfatteh El Omri (18278683)
author_role author
dc.creator.none.fl_str_mv Hesham Ali Behary Aboelkhir (18278677)
Adel Elomri (8984063)
Tarek Y. ElMekkawy (18278680)
Laoucine Kerbache (17148370)
Mohamed S. Elakkad (14779246)
Abdulla Al-Ansari (14150583)
Omar M. Aboumarzouk (14779240)
Abdelfatteh El Omri (18278683)
dc.date.none.fl_str_mv 2022-12-16T03:00:00Z
dc.identifier.none.fl_str_mv 10.3390/ijerph192416952
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/A_Bibliometric_Analysis_and_Visualization_of_Decision_Support_Systems_for_Healthcare_Referral_Strategies/25513861
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biomedical and clinical sciences
Pharmacology and pharmaceutical sciences
Health sciences
Public health
healthcare referral
medical transfer
quality of care
patient pathways
decision support systems
operations management
dc.title.none.fl_str_mv A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <div><p>Background: The referral process is an important research focus because of the potential consequences of delays, especially for patients with serious medical conditions that need immediate care, such as those with metastatic cancer. Thus, a systematic literature review of recent and influential manuscripts is critical to understanding the current methods and future directions in order to improve the referral process. Methods: A hybrid bibliometric-structured review was conducted using both quantitative and qualitative methodologies. Searches were conducted of three databases, Web of Science, Scopus, and PubMed, in addition to the references from the eligible papers. The papers were considered to be eligible if they were relevant English articles or reviews that were published from January 2010 to June 2021. The searches were conducted using three groups of keywords, and bibliometric analysis was performed, followed by content analysis. Results: A total of 163 papers that were published in impactful journals between January 2010 and June 2021 were selected. These papers were then reviewed, analyzed, and categorized as follows: descriptive analysis (n = 77), cause and effect (n = 12), interventions (n = 50), and quality management (n = 24). Six future research directions were identified. Conclusions: Minimal attention was given to the study of the primary referral of blood cancer cases versus those with solid cancer types, which is a gap that future studies should address. More research is needed in order to optimize the referral process, specifically for suspected hematological cancer patients.</p><p> </p></div><h2>Other Information</h2> <p> Published in: International Journal of Environmental Research and Public Health<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/ijerph192416952" target="_blank">https://dx.doi.org/10.3390/ijerph192416952</a></p>
eu_rights_str_mv openAccess
id Manara2_119beb477bc91fc690ffccaa8b0fc7cf
identifier_str_mv 10.3390/ijerph192416952
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/25513861
publishDate 2022
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral StrategiesHesham Ali Behary Aboelkhir (18278677)Adel Elomri (8984063)Tarek Y. ElMekkawy (18278680)Laoucine Kerbache (17148370)Mohamed S. Elakkad (14779246)Abdulla Al-Ansari (14150583)Omar M. Aboumarzouk (14779240)Abdelfatteh El Omri (18278683)Biomedical and clinical sciencesPharmacology and pharmaceutical sciencesHealth sciencesPublic healthhealthcare referralmedical transferquality of carepatient pathwaysdecision support systemsoperations management<div><p>Background: The referral process is an important research focus because of the potential consequences of delays, especially for patients with serious medical conditions that need immediate care, such as those with metastatic cancer. Thus, a systematic literature review of recent and influential manuscripts is critical to understanding the current methods and future directions in order to improve the referral process. Methods: A hybrid bibliometric-structured review was conducted using both quantitative and qualitative methodologies. Searches were conducted of three databases, Web of Science, Scopus, and PubMed, in addition to the references from the eligible papers. The papers were considered to be eligible if they were relevant English articles or reviews that were published from January 2010 to June 2021. The searches were conducted using three groups of keywords, and bibliometric analysis was performed, followed by content analysis. Results: A total of 163 papers that were published in impactful journals between January 2010 and June 2021 were selected. These papers were then reviewed, analyzed, and categorized as follows: descriptive analysis (n = 77), cause and effect (n = 12), interventions (n = 50), and quality management (n = 24). Six future research directions were identified. Conclusions: Minimal attention was given to the study of the primary referral of blood cancer cases versus those with solid cancer types, which is a gap that future studies should address. More research is needed in order to optimize the referral process, specifically for suspected hematological cancer patients.</p><p> </p></div><h2>Other Information</h2> <p> Published in: International Journal of Environmental Research and Public Health<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/ijerph192416952" target="_blank">https://dx.doi.org/10.3390/ijerph192416952</a></p>2022-12-16T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/ijerph192416952https://figshare.com/articles/journal_contribution/A_Bibliometric_Analysis_and_Visualization_of_Decision_Support_Systems_for_Healthcare_Referral_Strategies/25513861CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/255138612022-12-16T03:00:00Z
spellingShingle A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies
Hesham Ali Behary Aboelkhir (18278677)
Biomedical and clinical sciences
Pharmacology and pharmaceutical sciences
Health sciences
Public health
healthcare referral
medical transfer
quality of care
patient pathways
decision support systems
operations management
status_str publishedVersion
title A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies
title_full A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies
title_fullStr A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies
title_full_unstemmed A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies
title_short A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies
title_sort A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies
topic Biomedical and clinical sciences
Pharmacology and pharmaceutical sciences
Health sciences
Public health
healthcare referral
medical transfer
quality of care
patient pathways
decision support systems
operations management