University Health Network (UHN)

problem statement

Amid growing health service utilization and a limited healthcare workforce, University Healthcare Network (UHN) faced challenges in maintaining the auditing of patient records. This crucial task ensures healthcare forms are correctly tagged and associated with patient records in their EMR. The surge in volume led to a backlog of over 10 million documents needing audits, with minimal resources available to address it.

Project Goals

REDUCE MANUAL EFFORT
Patient records can contain multiple documents, taking an average of 8 minutes to fully audit and correct
REDUCE RISK
Ensure regulatory and privacy compliance relating to healthcare information are achieved
IMPROVE DATA ACCURACY & CONSISTENCY
Accurately classify patient documents to improve downstream healthcare

Solutions

GREENLIGHT’S SOLUTION

The manual process of auditing patient records was time-consuming and error-prone, risking patient care and regulatory compliance. With a growing backlog, UHN collaborated with Greenlight Consulting to automate the review and tagging of healthcare forms. Using intelligent automation, Greenlight developed a solution to accurately extract, validate, and tag data in patient profiles, flagging discrepancies for human review. This significantly improved the accuracy and speed of the audit process.

 

TECHNOLOGY USED

To meet the client’s needs, Greenlight leveraged UiPath Unattended Robots to streamline the auditing of patient records and healthcare forms. UiPath Document Understanding was used to accurately extract and validate data, ensuring correct categorization within patient profiles. UiPath Action Center facilitated human intervention for flagged discrepancies, maintaining regulatory compliance. Integration with the EMR system enabled seamless data processing and tagging.

Results

REALIZED BENEFITS

hours of time returned to the business annually
0
reduction in manual data entry effort
0 %
in annual operational expenses avoided
$ 0 K+
straight-through processing (no human touch required)
0 %

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