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Digital Disruption and Big Data in Healthcare - Opportunities and Challenges
BACKGROUND: As the amount of medical data in the electronic medical records system (EMR) is increasing tremendously, the required time to read it by health providers is growing by the exact proportionality. This means that physicians must increase the time spared for each patient again by the precis...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9426864/ https://www.ncbi.nlm.nih.gov/pubmed/36052095 http://dx.doi.org/10.2147/CEOR.S369553 |
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author | El Khatib, Mounir Hamidi, Samer Al Ameeri, Ishaq Al Zaabi, Hamad Al Marqab, Rehab |
author_facet | El Khatib, Mounir Hamidi, Samer Al Ameeri, Ishaq Al Zaabi, Hamad Al Marqab, Rehab |
author_sort | El Khatib, Mounir |
collection | PubMed |
description | BACKGROUND: As the amount of medical data in the electronic medical records system (EMR) is increasing tremendously, the required time to read it by health providers is growing by the exact proportionality. This means that physicians must increase the time spared for each patient again by the precise proportionality. This may lead to exposing the accuracy and quality of the course of action to be taken for the patients. Increasing the physician’s required time for one patient means that the physician can see fewer patients. This will create an issue with the medical management authority as more physicians are needed, and higher expenses will be required. PURPOSE: The two questions that arise here are 1. Identify the potential opportunities and challenges for extensive data analysis in the healthcare sector. 2. Evaluate different ways in which big medical data can be analyzed? METHODS: The authors identified the four concerned parties representing the four potential solutions dimensions to answer these two questions. These parties are 1. physicians, 2. health information systems management (HISM) departments, mainly the EMR system, and 3. Health management departments 4. Relevant Health Information Systems (HIS) parties. A literature review and 25 interviews were conducted. The interviews covered 1: Two global organizations: John Hopkins and Joint Commission International (JCI), 2: Three United Arab Emirates-based health organizations: Department of health in Abu Dhabi, SEHA in Abu Dhabi, Dubai health Authority (DHA) in Dubai, 3: 10 Physicians from different specialties, 4: Five EMR managers and 5: Five IT (Information Technology) professionals representing the HIS parties. Qualitative analysis is used as the approach for data analysis. RESULTS: Identifying the managerial and the technical recommendations to be utilized mainly based on digital disruption technologies, tools, and processes. CONCLUSION: Healthcare has been slow in embracing digital disruption and transformation. In most areas, it is still in the initial stages. Recommendations are based on the UAE cases, highlighting the specific technologies and their features. |
format | Online Article Text |
id | pubmed-9426864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-94268642022-08-31 Digital Disruption and Big Data in Healthcare - Opportunities and Challenges El Khatib, Mounir Hamidi, Samer Al Ameeri, Ishaq Al Zaabi, Hamad Al Marqab, Rehab Clinicoecon Outcomes Res Original Research BACKGROUND: As the amount of medical data in the electronic medical records system (EMR) is increasing tremendously, the required time to read it by health providers is growing by the exact proportionality. This means that physicians must increase the time spared for each patient again by the precise proportionality. This may lead to exposing the accuracy and quality of the course of action to be taken for the patients. Increasing the physician’s required time for one patient means that the physician can see fewer patients. This will create an issue with the medical management authority as more physicians are needed, and higher expenses will be required. PURPOSE: The two questions that arise here are 1. Identify the potential opportunities and challenges for extensive data analysis in the healthcare sector. 2. Evaluate different ways in which big medical data can be analyzed? METHODS: The authors identified the four concerned parties representing the four potential solutions dimensions to answer these two questions. These parties are 1. physicians, 2. health information systems management (HISM) departments, mainly the EMR system, and 3. Health management departments 4. Relevant Health Information Systems (HIS) parties. A literature review and 25 interviews were conducted. The interviews covered 1: Two global organizations: John Hopkins and Joint Commission International (JCI), 2: Three United Arab Emirates-based health organizations: Department of health in Abu Dhabi, SEHA in Abu Dhabi, Dubai health Authority (DHA) in Dubai, 3: 10 Physicians from different specialties, 4: Five EMR managers and 5: Five IT (Information Technology) professionals representing the HIS parties. Qualitative analysis is used as the approach for data analysis. RESULTS: Identifying the managerial and the technical recommendations to be utilized mainly based on digital disruption technologies, tools, and processes. CONCLUSION: Healthcare has been slow in embracing digital disruption and transformation. In most areas, it is still in the initial stages. Recommendations are based on the UAE cases, highlighting the specific technologies and their features. Dove 2022-08-26 /pmc/articles/PMC9426864/ /pubmed/36052095 http://dx.doi.org/10.2147/CEOR.S369553 Text en © 2022 El Khatib et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research El Khatib, Mounir Hamidi, Samer Al Ameeri, Ishaq Al Zaabi, Hamad Al Marqab, Rehab Digital Disruption and Big Data in Healthcare - Opportunities and Challenges |
title | Digital Disruption and Big Data in Healthcare - Opportunities and Challenges |
title_full | Digital Disruption and Big Data in Healthcare - Opportunities and Challenges |
title_fullStr | Digital Disruption and Big Data in Healthcare - Opportunities and Challenges |
title_full_unstemmed | Digital Disruption and Big Data in Healthcare - Opportunities and Challenges |
title_short | Digital Disruption and Big Data in Healthcare - Opportunities and Challenges |
title_sort | digital disruption and big data in healthcare - opportunities and challenges |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9426864/ https://www.ncbi.nlm.nih.gov/pubmed/36052095 http://dx.doi.org/10.2147/CEOR.S369553 |
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