Going Digital: A Survey on Digitalization and Large Scale Data Analytics in Healthcare
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Abstract (arXiv)
We provide an overview of the recent trends towards digitalization and large scale data analytics in healthcare. It is expected that these trends are instrumental in the dramatic changes in the way healthcare will be organized in the future. We discuss the recent political initiatives designed to shift care delivery processes from paper to electronic, with the goals of more effective treatments with better outcomes; cost pressure is a major driver of innovation. We describe newly developed networks of healthcare providers, research organizations and commercial vendors to jointly analyze data for the development of decision support systems. We address the trend towards continuous healthcare where health is monitored by wearable and stationary devices; a related development is that patients increasingly assume responsibility for their own health data. Finally we discuss recent initiatives towards a personalized medicine, based on advances in molecular medicine, data management, and data analytics.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jun 2016.
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Citing papers per year: 2021: 3; 2022: 1; 2023: 0; 2024: 0; 2025: 0; 2026: 1.
5 papers.
- 2022A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Modelscited by 43
- 2021SplitAVG: A heterogeneity-aware federated deep learning method for medical imagingcited by 19
- 2021Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Modelscited by 5
- 2021Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learningcited by 3
- 2026Federated Rule Ensemble Method in Medical Datacited by 0
- 2026Federated Rule Ensemble Method in Medical Data20 Apr 2026
- 2022A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models2 Aug 2022
- 2021Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models26 Jul 2021
- 2021SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging6 Jul 2021
- 2021Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning1 Jun 2021