Is More Data Always Better in Healthcare? The Case for AI-Driven Insights
At first glance, the idea of having vast amounts of data in the medical field seems like a win. Is more data really always better?
January 22, 2025
Imagine this: You sit down with a new patient and ask about their medical history. They pause, squint, and say something like, “I think I had a surgery… maybe in 2018? Or was it 2019?” You check their chart. Empty. Their old provider’s records? Still pending.
Now you have two options:
Neither is ideal. But for most providers, this is the status quo.
Healthcare has AI-assisted imaging, robotic surgeries, and predictive analytics, but somehow, getting a patient’s medical records still relies on fax machines and phone calls.
The result?
This isn’t just an inconvenience, it’s a fundamental failure in care coordination.
For providers and organizations focused on value-based care, the inefficiencies in record retrieval aren’t just a frustration, they directly impact financial performance and patient outcomes.
In value-based care models, success depends on understanding patient risk, closing care gaps, and ensuring patients receive proactive, preventive care. But how can providers be expected to do that if they don’t have a complete picture of their patient’s health?
For providers in risk-bearing arrangements, missing patient history isn’t just an inconvenient, it’s a direct threat to financial and clinical performance.
If any of this feels highly relatable, here’s how to upgrade it:
If your staff is still manually faxing forms to request patient histories, it’s time to upgrade. Due to changes in interoperability, digital-first solutions can pull records electronically, eliminating weeks of delays.
Manually scanning and uploading PDFs into the EHR is inefficient. Look for solutions that deliver structured data directly into the provider workflow so insights are available at the point of care.
No provider wants to dig through 1,000+ pages of unstructured patient history. Summarized views with relevant insights—recent labs, chronic conditions, past interventions—make clinical decision-making faster and more accurate.
Instead of scrambling for records once a patient is already scheduled, set up automated retrieval at intake so the data is ready before the first visit.
Not all patient records are equally valuable. Partnering with organizations that use AI and clinically trained models ensures providers see the most relevant history, not just a document dump of old records.
Healthcare cannot continue to operate in a system where patient history is difficult to access, fragmented across different systems, and dependent on outdated technology like fax machines. The future of healthcare must be built on instant access to structured, clinically relevant patient histories, delivered in real time, directly within provider workflows.
This shift isn’t just about convenience, it’s about fundamentally changing how care is delivered, improving patient outcomes, and making value-based care truly work.
The first step? Moving beyond a broken system and rethinking how providers access and use patient data. Oh, and reach out to us at Credo.
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