Unveiling the Negative Customer Experience in Diagnostic Centers: A Data Mining Approach.

Introduction: This study aims to identify the negative customer experiences reflected in complaints against diagnostic centers using data mining tools.

Methods: Analyzing customer complaints from a consumer complaints website, the Apriori algorithm was employed to uncover frequent patterns and identify key areas of concern. The frequency and distribution of terms used in complaints were also analyzed, and word clouds were generated to visualize the findings.

Customers' Perception Towards Accountability of Diagnostic Centres: Evidence from India.

Introduction: A deeper comprehension of accountability is beneficial for identifying and fostering tactics to boost accountability and raise the standard of healthcare. The main objective of the present paper is to measure the level of customers' perception of accountability of healthcare diagnostic service providers and to identify the factors that influence the perception of accountability of healthcare diagnostic service customers.

Methods: A questionnaire survey was used to collect data from 393 customers of various diagnostic centers in the city of Guwahati from the state of Assam in India.