Manual data entry of handwritten patient walklist documents was a significant task and posed a hurdle in the clinic’s day-to-day workflow. Staff had to manually enter patient details, visit dates, and provider names, which delayed updates to the Electronic Health Record (EHR) system. This process typically took up to 15 minutes per document, resulting in increased patient waiting times and scheduling inefficiencies.
To address these inefficiencies, the clinic partnered with Rannsolve to integrate its AI-powered Cognitive Process Automator (CPA) tool into the existing systems. CPA used advanced layout detection to accurately enter key fields from both tabular and handwritten walklist formats. It also included template creation to accommodate multiple document layouts and matching algorithms to identify and extract relevant details accurately.
The clinic achieved a remarkable 98% digitization rate for walklist documents, and the systems reached 95% field-level accuracy. Processing time per document dropped from 15 minutes to under 1 minute. These improvements led to faster EHR updates, reduced patient wait times, and a measurable improvement in overall scheduling efficiency.
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