Turning Legacy Patient Records into Actionable Data
Industry
Healthcare
Challenge
A health system needed to transform hundreds of thousands of pages of legacy patient documents into structured, useful data. The goals included improving patient care, streamlining recordkeeping, and strengthening regulatory compliance.
Results
The project lead estimated an 80% reduction in time and cost, enabling the project to move forward efficiently and with lasting flexibility.
KEY FEATUREs
- XML Knowledge Graph for Each Patient Document
- Transparent Data Points with Source References
- Flexible Querying for Future Data Requests
- Minimal Human Intervention Required
- 80% Reduction in Project Time and Cost
The Challenge
A health care system had hundreds of thousands of pages of legacy patient documents that it wanted to turn into useful data to help inform patient care, streamline recordkeeping, and improve regulatory compliance processes. A key goal was flexibility – the ability to request new data from any record at any point in the future without having to manually review each document again.The company had experimented with several data extraction software providers, but found that they could not provide the level of accuracy and automation that would make the project worthwhile. In addition, these data extraction providers were very limited in the number and type of data points that could be extracted, and new data requests would require an extensive requerying process.
The Solution
After trying several other vendors, the health system turned to Docugami. They started with a Proof of Concept involving a few thousand patient records. Docugami was able to quickly parse and identify a wide range of key data points and other elements across the records, with a solid accuracy level even without human intervention.
After a limited amount of tuning, the system was delivering highly accurate results. Importantly, every data point provided by Docugami’s AI included a reference to the specific part of the specific patient record from which it was derived, making it easy to ensure accuracy.
The Results
In addition to the high degree of accuracy and transparency, the flexibility of the Docugami solution was a huge selling point. Unlike other solutions, Docugami creates a full XML Knowledge Graph of each individual document in its entirety. As a result, if additional fields or data points are required after the initial processing, it is easy to access that information immediately, without the need to conduct an entire new analysis of a large document set.
Based on the success of the initial Proof of Concept project, the team decided to move forward with Docugami. The project lead estimates that using Docugami enabled the project to move forward, and cut the time and cost by 80 percent or more.