Maintaining patient history using RPA
and ML

12/10

11:00 EASTERN
08:00 PACIFIC

In the unending quest for digitizing data and providing doctors with complete and accurate information that they can have about their patients, a key challenge that health facilities still face is their ability to identify and categorize a vast number of new documents and printed papers generated daily. A misidentified record can lead to a misdiagnosis, and with the ever-increasing volume of data and people required for the task, human error is not a possibility but an upcoming reality.

TEAM International will share the experience of how we’ve helped one of our clients implement a solution and web services leveraging RPA. In combination with pattern recognition via machine learning techniques, we’ve enabled the customer to identify and categorize medical documents with exceptional accuracy, reducing manual effort and error probability, while keeping employees’ focus on the significantly smaller subset of records with lower quality that required extra checking.

Join us to learn how the combination of RPA and ML helps healthcare organizations ensure better patient care.

Speakers:

Julio Aconcha Martinez - CTO of RPA Business, TEAM International.

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