Transformative AI for Healthcare Customer Service: Auto-Documentation of Compliance-Critical Questionnaires

Over the last two decades, the population across the world has increased exponentially so as the number of healthcare requests. Especially, post-COVID the number of customer service calls for various healthcare related queries across the healthcare providers has increased by 65% [1]. The staffing shortages have made it harder for the providers to answer every call in a defined time. Also, 60% of users reported that they have higher waiting times, which is very frustrating and doesn’t leave a pleasant impression on the users’ mind. In our survey with customer care representatives across the various healthcare providers showcased that the majority, 75% - 80% of the time spent on a call is taken to document compliance critical questions which are manual and tedious. This paved path to our study on developing an AI-powered live transcription agent that simultaneously converts voice interactions to text, extracts answers to predefined clinical/billing questions, and provides real-time feedback to healthcare customer service agents regarding unanswered queries. This work establishes a new paradigm in the healthcare customer service realm with possibilities of transforming the healthcare infrastructure across the nation.

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Publication Details

Journal
International Journal on Science and Technology
Published
2025-06-22
DOI
https://doi.org/10.71097/ijsat.v16.i2.6466
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Transformative AI for Healthcare Customer Service: Auto-Documentation of Compliance-Critical Questionnaires

Leela Naga Sai Vamsi Krishna Dogiparthi
1 links
International Journal on Science and Technology
Big Data and Business Intelligence
article

Transformative AI for Healthcare Customer Service: Auto-Documentation of Compliance-Critical Questionnaires

Leela Naga Sai Vamsi Krishna Dogiparthi
article en

Abstract

Over the last two decades, the population across the world has increased exponentially so as the number of healthcare requests. Especially, post-COVID the number of customer service calls for various healthcare related queries across the healthcare providers has increased by 65% [1]. The staffing shortages have made it harder for the providers to answer every call in a defined time. Also, 60% of users reported that they have higher waiting times, which is very frustrating and doesn’t leave a pleasant impression on the users’ mind. In our survey with customer care representatives across the various healthcare providers showcased that the majority, 75% - 80% of the time spent on a call is taken to document compliance critical questions which are manual and tedious. This paved path to our study on developing an AI-powered live transcription agent that simultaneously converts voice interactions to text, extracts answers to predefined clinical/billing questions, and provides real-time feedback to healthcare customer service agents regarding unanswered queries. This work establishes a new paradigm in the healthcare customer service realm with possibilities of transforming the healthcare infrastructure across the nation.

International Journal on Science and TechnologyVol. 16(2)
Openalex Percentile: Top 75%
Big Data and Business Intelligence
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