ArticleClinicoEconomics and outcomes research : CEOR2022
Digital Disruption and Big Data in Healthcare - Opportunities and Challenges.
Article in ClinicoEconomics and outcomes research : CEOR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Development and validation of the Iranian Minimum Data Set for Epidermolysis Bullosa: A mixed method approach.PloS one · 2025Pooled it
- Navigating Teledermatology in the Post-COVID Era.International journal of dermatology · 2026Article
- Bridging Financial Inclusion and Health Equity in LMICs: Evidence from a Half-Century of Bibliometric Data.International journal of environmental research and public health · 2026Article
- Health sector transformation in Saudi Arabia-The modern healthcare model: A qualitative study among healthcare leaders.Journal of Taibah University Medical Sciences · 2025Article
- Connected Healthcare System Technology Interventions to Improve Patient Safety by Reducing Medical Errors: A Systematic Review.Global journal on quality and safety in healthcare · 2025Review
- A genomic strategy for precision medicine in rare diseases: integrating customized algorithms into clinical practice.Journal of translational medicine · 2025Article
- The Role of Artificial Intelligence in Cardiovascular Disease Risk Prediction: An Updated Review on Current Understanding and Future Research.Current cardiology reviews · 2025Review
- FSRW: fuzzy logic-based whale optimization algorithm for trust-aware routing in IoT-based healthcare.Scientific reports · 2024Article
- Advanced Data Processing of Pancreatic Cancer Data Integrating Ontologies and Machine Learning Techniques to Create Holistic Health Records.Sensors (Basel, Switzerland) · 2024Article
- Enterprise marketing strategy using big data mining technology combined with XGBoost model in the new economic era.PloS one · 2023Article
- Impact of Using the Internet of Medical Things on e-Healthcare Performance: Blockchain Assist in Improving Smart Contract.ClinicoEconomics and outcomes research : CEOR · 2023Article
- A Data-Driven Paradigm for a Resilient and Sustainable Integrated Health Information Systems for Health Care Applications.Journal of multidisciplinary healthcare · 2023Article
- Health Information System and Health Care Applications Performance in the Healthcare Arena: A Bibliometric Analysis.Healthcare (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.