ImageNet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever et al.
508
Citations
27
Influential Citations
Journal of Medical Internet Research
Venue
2011
Year
Cloud computing is a new way of delivering computing resources and services. Many managers and experts believe that it can improve health care services, benefit health care research, and change the face of health information technology. However, as with any innovation, cloud computing should be rigorously evaluated before its widespread adoption. This paper discusses the concept and its current place in health care, and uses 4 aspects (management, technology, security, and legal) to evaluate the opportunities and challenges of this computing model. Strategic planning that could be used by a health organization to determine its direction, strategy, and resource allocation when it has decided to migrate from traditional to cloud-based health services is also discussed.
This paper, published in 2011, is an early and influential work that systematically examines the potential of cloud computing in healthcare. At a time when cloud adoption was nascent, it provided a structured evaluation across management, technology, security, and legal dimensions, helping practitioners understand both the promise and pitfalls. Its high citation count (508) reflects its role as a foundational reference for subsequent research and industry discussions on health information technology modernization.
The paper matters because it bridges the gap between technical innovation and practical healthcare deployment. By focusing on strategic planning for migration, it offers actionable insights for decision-makers, making it relevant beyond academia to hospital administrators and IT leaders.
The paper's main technical contribution is its four-aspect evaluation framework:
Additionally, it outlines a strategic planning process for health organizations, including steps for assessing current IT, defining cloud requirements, and selecting deployment models (public, private, hybrid).
The paper does not present quantitative experimental results but synthesizes qualitative findings from literature and expert opinion. Key insights include:
No specific metrics or comparisons are provided, as the paper is a conceptual review.
This paper has had a lasting impact on the field by framing cloud computing in healthcare as a multi-dimensional challenge. It influenced subsequent research on cloud security, health data governance, and IT strategy in medical settings. For AI practitioners, it underscores the importance of infrastructure considerations when deploying AI models in healthcare, such as data privacy and system interoperability. The paper remains a useful reference for understanding the foundational trade-offs in cloud-based health services.
Alex Krizhevsky, Ilya Sutskever et al.
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