In today's digital age, the sheer volume of data we produce is overwhelming. It's often presented as a good thing—more data means more insights, more opportunities, and better decision-making, right? But when it comes to healthcare, is more data really always better?
At first glance, the idea of having vast amounts of data in the medical field seems like a win. After all, when you have more data points, you can make more informed decisions. But there’s a catch—how do we actually make sense of all this data? And when it comes to something as critical as a patient's health, how can we ensure that the data we collect is usable and actionable in real-time?
The Problem with Too Much Data
For healthcare providers, accessing a patient's complete medical history is crucial for delivering the best care possible. At Credo, we’ve found that a patient's medical history, on average, is made up of over 40 documents which can contain hundreds or even thousands of pages.
While the overwhelming volume of medical records is a hurdle on its own, the inconsistent format and scattered storage of this information presents an even greater obstacle. Many medical records are fragmented and stored across various systems in different formats, making it incredibly difficult for providers to quickly piece together an accurate and comprehensive history.
Take a moment to think about the typical healthcare journey for a patient. Most people will visit numerous healthcare providers over the course of their lives, especially if they have chronic conditions. As a result, their medical records are spread across various hospitals, clinics, and specialists, often stored as hundreds of pages of documents. These documents may be in different formats—HL7, FHIR, CCDA—and even include images like JPEGs or TIFFs. And within each document, there is an abundance of unstructured clinical narrative.
The Role of AI: Turning Chaos into Clarity
So, how do we manage this overwhelming amount of data in a way that’s useful? Enter artificial intelligence. AI, especially when paired with machine learning, can be a game changer when it comes to making sense of large volumes of unstructured medical data.
At Credo, we’ve harnessed AI’s power to transform fragmented, unstructured data into something meaningful:
- We unify fragmented data into a comprehensive, structured, and searchable patient record, directly into the EHR.
- We surface key insights—diagnoses, labs, medications, and history—so clinicians see the full picture instantly.
- We cut retrieval time from days to under 48 hours, saving time and costs and providing a better experience for the clinicians and patients.
Unlocking Better Care and Better Outcomes
The real value of this transformation is in the care it enables. Credo works behind the scenes to synthesize the data, providers have a comprehensive and actionable record of a patient’s health history from the very start of the patient-provider relationship. This allows for more informed decision-making right from the first visit, ensuring that treatments are tailored to the patient’s specific needs.
Eliminating the friction of manual data retrieval and interpretation, allows providers to spend more time focusing on what really matters—delivering high-quality care to patients. A streamlined, Credo-powered medical record not only saves time for clinicians but also ensures that patients receive the right treatment at the right time.
The Takeaway: More Data Isn’t the Problem, It’s How You Use It
At Credo, we’re not just collecting data. We’re creating a frictionless experience that enables users to access a complete medical history, to surface hidden insights and we provide summaries so providers can make the right decisions faster. A comprehensive and complete picture for every patient, every visit. Schedule a demo to learn more.
