AI Can’t Fix Dirty, Disparate Data, But PilotFish Can

AI in Healthcare Depends on Clean Data and Seamless Integration

AI adoption in healthcare is finally moving past the pilot stage. According to the recent Healthcare AI Adoption Index by Bessemer Venture Partners, AWS and Bain & Company, 70% of payers and providers are actively implementing generative AI technologies. From automating billing claims to augmenting clinical decisions, AI is poised to transform the industry.

But despite this momentum, nearly half of healthcare leaders cite data integrity and integration as their top obstacles. Without addressing these foundational issues, the ROI on AI initiatives will remain elusive.

At PilotFish, we’ve seen this before. New technologies in healthcare often encounter the same obstacle: disconnected systems and unstandardized data. No matter how sophisticated the AI model, it’s only as good as the data it receives.

The Problem: AI Fails Without Clean, Integrated Healthcare Data

AI systems require clean, structured and timely data to deliver meaningful insights. But in the real world of healthcare IT, data is fragmented across:

• EHRs from multiple vendors (e.g., Epic, Cerner, Meditech)
• Claims Processing Systems
• Lab Information Systems
• Pharmacy Management Platforms
• Legacy and Third-party Applications

Even worse, this data often arrives in incompatible formats—HL7 v2, FHIR, X12 EDI, proprietary APIs, each speaking a different language. Mapping this information manually or writing custom code for every integration is time-consuming and prone to errors. Data integrity suffers and AI outputs become unreliable or even deadly in healthcare.

The Solution: PilotFish Healthcare Integration for AI-Ready Systems

PilotFish solves these problems at the root. Our integration platform standardizes and streamlines how systems communicate, eliminating the chaos that undermines data quality and the effectiveness of AI.

Here’s how we help:

• Any-to-Any Integration: PilotFish connects any healthcare system or format, including FHIR, HL7, X12, CDA, JSON, XML, databases, APIs and more. You don’t need to rewrite your systems to make them interoperable.
• Built-In Data Validation and Data Cleansing: Before data ever reaches your AI pipeline, PilotFish can validate, cleanse and normalize it. That means AI models train on high-integrity inputs and can deliver more reliable outputs.
• Accelerated Interface Development: Using PilotFish’s graphical IDE (eiConsole) and prebuilt templates, integration times shrink from weeks to days. That frees up your IT resources and accelerates your AI rollouts.
• Future-Proof Architecture: As you scale AI initiatives, PilotFish scales with you. Pilotfish’s loosely coupled architecture enables easy modifications and additions without disrupting existing functionality.

Real Results: Powering AI-Ready Data Across Healthcare

Whether you’re a payer using AI for fraud detection or a provider optimizing clinical workflows, PilotFish ensures your AI in healthcare initiatives are built on a foundation of clean, validated and integrated data, from HL7 to FHIR to X12 EDI.

While the industry is rushing forward and using AI, innovative organizations are making foundational investments that can unlock their actual value. They have recognized that Integration and data integrity aren’t afterthoughts—they’re prerequisites.

Let PilotFish help you unleash the power of AI.

Ready to Make Your Data AI-ready?

Contact us to learn how our integration platform delivers clean, validated, AI-ready healthcare data—fast.

X12, chartered by the American National Standards Institute for more than 35 years, develops and maintains EDI standards and XML schemas.