Next-Gen Data Centers: A Cost-Effective, Efficient Solution for Modern Healthcare Institutions
Healthcare systems are drowning under a tidal wave of data, as the amount of information generated by various sources continues to grow exponentially. Electronic health records, wearable tech, remote monitoring devices, and medical imaging are all contributing to this data deluge.
Chris Platt, HPE's chief technologist for healthcare life sciences, acknowledges that this isn't just a matter of size, but also about what providers can do with all this data. We're smack dab in the middle of a data explosion, he says, and healthcare organizations are under intense pressure to manage, store, protect, and curate this data in ways that actually matter.
A mid-sized hospital network could now generate up to 55 petabytes of data annually, most of which goes unused once its immediate value expires. However, this data is becoming increasingly crucial for the future, particularly for long-term projects such as training AI models and real-time clinical decision support.
The challenge, Platt asserts, is making data usable - quickly, securely, and at an unprecedented scale.
Luckily, HPE steps up to the plate, offering solutions that help healthcare organizations connect, protect, analyze, and act on their data.
For instance, HPE's next-generation storage platforms are designed to handle the increasing volumes of healthcare data, including data from electronic health records, wearables, and medical imaging. These platforms also offer real-time data access, which is essential for clinical decision support systems.
Moreover, HPE's Private Cloud AI offers a complete solution for AI and GenAI workloads. This platform supports NVIDIA's Enterprise AI Factory, ensuring efficient deployment, monitoring, and optimization of AI applications. Sparkflows provides seamless integration with HPE Private Cloud AI, enabling efficient data processing and accelerating AI-driven insights.
Data engineering capabilities on HPE Private Cloud AI enable the creation of complex data pipelines necessary for AI model training and real-time analytics. Furthermore, HPE offers pre-built AI and GenAI solutions across various industries, helping healthcare organizations leverage AI for specific use cases such as patient care optimization and predictive analytics.
In short, HPE's solutions help healthcare organizations effectively connect, protect, analyze, and act on their data, making it usable for AI model training, clinical decision support, and a variety of other strategic initiatives.
- Due to the rapid growth of data generated by various healthcare sources, the need for effective data management and utilization has become crucial, especially for long-term projects like training AI models and real-time clinical decision support.
- AI and GenAI workloads can be efficiently managed with HPE's Private Cloud AI, which offers real-time data access, data engineering capabilities for complex data pipelines, and supports NVIDIA's Enterprise AI Factory for optimal AI application deployment.
- Healthcare organizations can leverage artificial intelligence more effectively with HPE's solutions, as they provide the means to connect, protect, analyze, and act on data, thereby supporting strategic initiatives such as patient care optimization and predictive analytics.
