Fiddler AI Observability for Healthcare
Applications of AI Observability in Healthcare
Mitigate Risk with Real-time PHI/PII Guardrails
High-profile incidents involving unsafe AI can cause lasting brand damage.
Real-time Guardrails provide broad protection and enable the safe rollout of customer-facing bots and future multimodal AI apps, reducing the annual financial risk associated with AI by more than 90%.
Slash Compliance Costs and Overhead
Manual model governance isn't scalable, often costing $500K - $1.5M per use case and requiring multiple SMEs per AI application.
With unified AI observability, governance becomes efficient and reportable, typically cutting compliance engineering effort by around 70% and audit preparation time by over 80%.
Increase Innovation Velocity
Unblock stalled projects and confidently expand AI initiatives.
Fiddler helps align AI operations with regulatory and brand standards, reducing deployment timelines from months to days and potentially achieving over $2.8M in estimated savings per use case.
A Unified Observability Platform for Healthcare
See Every Action, Understand Every Decision, Control Every Outcome
When Healthcare agents take action — e.g. scheduling, billing, scribing — failures cause operational chaos, risk PII/PHI leaks and damage brand trust.
Fiddler Agentic Observability monitors every layer of the agentic hierarchy from application health to agent interactions to individual spans.
Monitor and Guardrail LLM Healthcare Applications
LLMs introduce risks of clinical "hallucinations," PII/PHI leaks, jailbreak attempts, toxic responses and more.
Fiddler real-time guardrails intercept and block harmful inputs and outputs before they can endanger patients or damage brand reputation, as well as provide a fully auditable trail for all the actions they take.
Ensure Fairness and Reliability in Predictive Models
Observe and improve model health by tracking performance, drift, data integrity or model bias. Get early warnings and intervene before care is impacted.
Break down siloes between ML teams with platform-agnostic observability.
Frequently Asked Questions
Can Fiddler live in my secure environment?
Yes, Fiddler can be deployed in any secure cloud environment. We are also the preferred AI observability vendor for the SageMaker AI ecosystem. More details on our SageMaker partnership here.
What is an AI agent in healthcare?
An AI agent in healthcare refers to an autonomous system or application powered by artificial intelligence that can make decisions or take actions without direct human intervention. These agents assist with tasks such as patient data analysis, scheduling, diagnostics, and personalized treatment recommendations, improving efficiency and accuracy in healthcare settings.
What is a real-world example of AI in healthcare?
A real-world example of AI in healthcare is the use of machine learning models to analyze medical imaging. These AI systems assist radiologists by identifying abnormalities in X-rays, MRIs, or CT scans, allowing for faster and more accurate diagnoses. Additionally, AI-powered virtual assistants are being used to enhance patient engagement by providing real-time health updates and reminders.
Which AI monitoring tool is best for healthcare?
The best AI tool for healthcare depends on the specific needs of the organization. For comprehensive AI observability and model safety, platforms like Fiddler AI are ideal for ensuring that healthcare AI systems are reliable, compliant, and fair. Tools focused on predictive analytics, patient safety, and AI governance are also essential for healthcare organizations looking to enhance patient care while maintaining regulatory compliance.
How does AI improve patient safety in healthcare?
AI in healthcare enhances patient safety by monitoring patient data in real-time, identifying early signs of complications, and providing recommendations for immediate interventions. Machine learning models can predict potential risks like adverse drug reactions or medical errors, allowing healthcare providers to take proactive measures and reduce harm to patients.
How can AI help with healthcare compliance and regulations?
AI tools like Fiddler AI can assist healthcare organizations in maintaining compliance with industry regulations (e.g., HIPAA) by providing real-time monitoring of AI models and ensuring that they operate in a fair, transparent, and accountable manner. AI can automate tasks such as data protection, model audits, and risk assessment, significantly reducing the workload of compliance teams.
How can AI help in predictive analytics for healthcare?
AI-driven predictive analytics in healthcare uses data to forecast patient outcomes, trends in diseases, and resource needs. By analyzing historical data, AI models can identify patterns that help healthcare providers predict things like patient readmissions, disease outbreaks, and staffing requirements, leading to better planning, resource management, and improved patient care.