Edge AI - Secure AI for Healthcare
Contain and Manage Your AI Safely Inside Your Network
Protected AI
Edge AI is Secure AI for Healthcare. There’s no doubting that AI is an extremely useful tool for healthcare and can unlock some amazing opportunities to change the world. Sadly, much of AI today is open to the world and can be influenced by bad actors, deliberate “poisoning,” or simply making the wrong decisions and even hallucinating, up to 15% of the time.Â
All of these are intolerable within the realm of healthcare.
Like the introduction of the Internet, we need to secure access and contain data to prevent misguided information appearing as if it were true. We need a “Trusted Instance” INSIDE your own network that can provide insightful data that you know conforms to your standards.
It's YOUR Knowledge: Protect it!
Lower Risk
By using YOUR knowledge data to drive AI decisions, you expose much less risk to your patients and your organization. You know that your data isn’t being used to train someone else’s LLM (Large Language Model) and that you aren’t going to be subjected to a law suit for using someone else’s.
EHR Integration
Connect the system to your EHR and feed the AI interface with personalized data and individual workflows.
Faster Decisioning
With data being processes inside your network, and not open to a cloud, your decisioning happens more quickly. This is more evident in heavy workloads and with complex instructions, but it can significantly impact your response time.
High Trust
By using YOUR data, you can trust the output to be specific to your needs. While external AI is still available for other use, it doesn’t need to touch your AI instance, which means the answers and processes are always compliant with your rules.
HIPAA Compliant
Edge AI aligns well with healthcare regulations like HIPAA, ensuring compliance and safeguarding patient information. This is crucial in maintaining the integrity and trust essential in healthcare and protecting vital data.
Standards Compliant
With the ability to manage and control the data used by your AI, you can dictate the compliance terms to the system. Want to avoid certain elements or guaranteea specific position? You can do that.
Pristine Valuable Data
When your AI instance is inside your network, the data becomes a single source of knowledge protected by your team.
Your data remains yours, and your valuable knowledge and processes are safely secured.
Healthcare systems are already collecting massive amounts of data along with their own models to sell or share with others in Healthcare.
With Edge AI, you can create your own model and make sure that it responds in a way that complies with your needs.
AI Poisoning
As we know all too well, there are bad actors in the world who would seek to do harm. AI poisoning or Adversarial Machine Learning is a deliberate injection or changing of dimensions that replace or modify a desired outcome. This method has been used by artists to protect their original works, but is open to nefarious intent in other areas.Â
Avoiding AI Law Suits
Copyright Infringement
Major lawsuits have already begun flooding through the courts. The basic premise is that LLMs (Large Language Models) have used someone else’s work or data as their training data, and not paid to use it.
With your own instance contained inside your network, you control the data that is used and can avoidÂ
Using external AI models might be problematic
Using external data to train your model can be detrimental to your patient’s wellbeing under certain circumstances. In this article it appears that faulty AI denied elderly patients life saving treatment.
We expect a tangled web of legal issues with the use of external data sources and LLM training.
When it comes to communications and patient experience, we can help untangle some of the intricacies.