Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: El Khatib, Mounir, Hamidi, Samer, Al Ameeri, Ishaq, Al Zaabi, Hamad, Al Marqab, Rehab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
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
_version_ 1784778773084766208
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
work_keys_str_mv AT elkhatibmounir digitaldisruptionandbigdatainhealthcareopportunitiesandchallenges
AT hamidisamer digitaldisruptionandbigdatainhealthcareopportunitiesandchallenges
AT alameeriishaq digitaldisruptionandbigdatainhealthcareopportunitiesandchallenges
AT alzaabihamad digitaldisruptionandbigdatainhealthcareopportunitiesandchallenges
AT almarqabrehab digitaldisruptionandbigdatainhealthcareopportunitiesandchallenges