Client:

A large hospital network with multiple locations

Challenge:

The hospital network was struggling to efficiently process and manage its large volume of patient medical records, which were currently being handled manually by administrative staff. This process was time-consuming and prone to errors, leading to delays in patient care and potential risks to patient safety.

Solution:

Scadea developed a custom Python-based solution to automate the processing of medical records, leveraging machine learning algorithms for accurate data extraction and classification. The solution included a user-friendly interface for hospital staff to easily upload and access records, as well as automatic alerts for any missing or incomplete data.

Results:

The new automated process significantly reduced the time required to process medical records, improving the hospital’s overall efficiency and ability to provide timely care to patients. The solution also reduced the risk of errors and improved data accuracy, helping to ensure patient safety. As a result, the hospital network was able to better allocate resources and improve patient satisfaction ratings.