Strategies for Secure AI Integration in Cloud Environments by Healthcare Institutions
Ready to unleash the power of AI in your healthcare organization? More and more organizations are embracing AI solutions, with 72% of them using an AI tool for at least one business function—that's up from 55% in the previous year. But before you dive head-first into AI, there are some essential factors to consider.
One of the hottest AI trends is generative AI. This technology is useful in healthcare settings, for example, enabling doctors to create summaries of their notes quickly without exposed patient information. However, there's a catch: sharing sensitive data with public AI platforms can pose a significant risk.
That's why data governance is critical. IT teams should question the type of data being used and implement controls around it. By doing so, healthcare providers can design solutions that keep their data in-house, ensuring maximum security.
Worried about what AI implementation means for your infrastructure and users? CDW's workshop, Mastering Operational AI Transformation (MOAT), is here to help. By drawing a circle around the data you want to protect and keep internal, you can harness the power of AI without compromising security.
Now, you might be wondering: how can I host AI databases in the cloud without putting sensitive data at risk? First, consider your AI plans for the future and determine your organization's AI use cases. If your queries per second are low, hosting a database on-premises might be sufficient. For heavy GPU or TPU usage, the cloud can offer more scalable resources.
In summary, when planning to implement AI in your healthcare organization, ask yourself:
- How do you want to use AI?
- What data do you want to use and protect?
- What will your infrastructure need to support these plans?
Working with experienced partners like CDW can provide valuable insights to help you prepare your digital infrastructure for the AI future. So, are you ready to unlock the full potential of AI in healthcare?
- Embracing generative AI in healthcare can enable doctors to create summaries swiftly, but sharing sensitive data with public AI platforms can pose a significant risk, so data governance is crucial for protecting patient information.
- CDW's workshop, Mastering Operational AI Transformation (MOAT), can help healthcare providers harness the power of AI without compromising security by drawing a circle around the data they want to protect and keep internal.
