Healthcare Facility Reduces Walklist Processing Time by 93% with AI-Powered Workflow Automation

Digitization Rate
Digitization Rate
98 %
Processing Time
Processing Time
< 1 min
Field-Level Accuracy
Field-Level Accuracy
95 %

Client Challenge: Manual Entry of Handwritten Patient Walklists Slowed Clinical Operations

A healthcare facility faced ongoing operational challenges due to the manual processing of handwritten patient walk-lists. Administrative staff were required to manually enter patient information, visit dates, provider details, and other critical data into the Electronic Health Record (EHR) system. This labor-intensive process took approximately 15 minutes per document and often delayed patient record updates, contributing to longer wait times and inefficiencies in scheduling and care coordination.

As patient volumes increased, the manual workflow became increasingly difficult to manage, placing additional strain on administrative teams and impacting overall clinic productivity.

Our Solution: AI-Powered Cognitive Process Automator Streamlines Walklist Processing

To improve efficiency, the healthcare facility partnered with Infognana to implement its Cognitive Process Automator (rannsCPA), an intelligent automation solution designed to streamline walklist data entry. rannsCPA leveraged advanced document layout detection capabilities to accurately identify and extract key information from both handwritten and tabular walklist formats.

The solution incorporated customizable templates to support multiple document layouts and utilized intelligent matching algorithms to accurately recognize and capture patient, provider, and visit information. By automating data extraction and entry into existing systems, rannsCPA eliminated repetitive manual tasks and accelerated the flow of information into the EHR platform.

Results and Business Impact

The implementation of rannsCPA delivered a 98% digitization rate for walklist documents while achieving 95% field-level accuracy. Processing time per document was reduced from approximately 15 minutes to less than one minute, representing a 93% improvement in efficiency.

These gains enabled faster EHR updates, reduced patient wait times, and improved scheduling accuracy across the facility. By automating a critical administrative workflow, the healthcare organization enhanced operational efficiency, reduced staff workload, and created a smoother experience for both healthcare providers and patients.

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