Call audits simplified
Managing insurance claims in a healthcare environment is a time-intensive process. Listening to payer calls, transcribing into digital format, validating and finally creating the claim correction lists can take a lot of time. This can also be prone to human errors.
Is there a method by which the entire process can be streamlined, especially the part of converting calls to text? AGS Health found out that with Azure Whisper, it could easily streamline key parts of the process.
Hearing it right
AGS Health used the Azure Whisper model to convert speech to text. The Whisper model is a speech to text model that can be used to transcribe audio files. While this model is trained on a large dataset of English audio and text, it can also be used to transcribe audio files that contain speech in other languages.
The Azure Whisper model helps in faster processing of audio files. It also provides a transcript of the call which can then be used for further analysis. AGS Health became a pioneer in the healthcare BPO industry to adopt Whisper and use NLP for outgoing call auditing and error prediction.
With this model, AGS Health was able to ensure that auditors spend less time in going through the audio files and transcripts. Also, this reduced auditing time by 50% and improved overall quality outcomes because of a larger audit coverage.
Patrice Wolfe
CEO
AGS Health
AGS Health has implemented artificial intelligence and automation to improve the efficiency and accuracy of A/R workflows in U.S. hospitals. Using Azure OpenAI, our teams convert lengthy payer calls to text instantly and create claim correction lists in a fraction of time usually required—helping accelerate claim reviews in real time, enhancing workflow and improving collections for our clients.
50%
reduced auditing time
AGS Health helps streamline customers’ revenue cycle so that they are free to invest in their organisation and its goals.
More details at https://www.agshealth.com
Agricultural Development Trust
Air India