Beyond the Buzzwords: Is Your "AI" Vendor Stuck in the Past?
In today's market, every vendor claims to have "AI." The term has become so ubiquitous that it's starting to lose its meaning. This "AI washing" creates a dangerous situation for healthcare organizations, who risk investing in solutions that are nothing more than old technology with a new marketing wrapper.
Many first-generation AI tools—and the consulting services built around them—rely on basic Natural Language Processing (NLP). This older tech is essentially a sophisticated keyword search. It's good at finding mentions of "diabetes," but it struggles to understand the critical context that differentiates a high-value, specific diagnosis from a historical note.
If your AI can't tell the difference between a patient's active diagnosis and one listed under "family history," it's not intelligent—it's a liability.
Three Questions to Separate True AI from Yesterday's News
As you evaluate partners, you must look under the hood. Here are the questions that separate a next-generation platform from a legacy tool:
- Can You Explain Why? Ask the vendor to show you the reasoning behind a suggestion. If the answer is a vague "the algorithm found it," you are dealing with an unauditable black box. A true AI partner provides transparent, hyperlinked evidence for every single suggestion, making the rationale clear and defensible.
- How Do You Handle Unstructured Data? This is the ultimate test. Ask to see how the platform processes a scanned, multi-page PDF from a specialist. Legacy tools will struggle, often just performing basic text extraction. A next-generation AI uses LLM vision models to understand layout, tables, and clinical nuance, unlocking the value hidden in your messiest data.
- Is It a Platform or a Point Solution? The problems of value-based care are interconnected. A tool that can only do one thing, like find HCCs, is a relic. A true, modern AI platform has a core clinical intelligence that can be applied to multiple problems. That's why our same engine can now be used to find gaps in HEDIS® quality measures, a task that requires the same deep understanding of clinical context.
The MedChartScan Difference: Built for the Future
We built MedChartScan using the latest generation of clinically-trained LLMs precisely to overcome the limitations of older systems. Our commitment to transparency, our unmatched ability to process unstructured data, and our expansion into a unified platform for both risk and quality are what set us apart.
Don't bet your revenue and compliance on yesterday's technology. The stakes are too high. Demand a partner that provides true clinical intelligence for the complex challenges of tomorrow.
*Ready to see what a next-generation AI can do? Contact us for a demo and we'll show you the difference._