Case Study: a world’s largest healthcare accreditation firm reduces accreditation time with WinWire Technologies’ Azure Search and Machine Learning

world’s largest healthcare accreditation firm reduces accreditation time with WinWire Technologies using 10,000 historical records

The world's largest healthcare accreditation firm, a not-for-profit organization, faced challenges with its manual and error-prone process for assigning standards codes during surveys. This laborious task was time-consuming and impacted productivity. To improve accuracy and achieve business agility, the firm partnered with WinWire Technologies to leverage Azure Search and Azure Machine Learning.

WinWire Technologies developed a machine learning model using historical data and implemented an AI-powered intelligent search. This solution prompts surveyors in real-time, ensuring the appropriate safety standards are selected and reducing discrepancies. The result was enhanced employee productivity, improved document accuracy, and a significant reduction in the time surveyors take to select the correct standards codes.