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Monday - Friday 09:00AM-17:00PM
Saturday - Sunday CLOSED

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Customer Delight Management

Automates complete patient feedback collection from 10 sources (including Social Media) with focused RCA & CAPA analysis to derive quality indicators for providing personalized excellent patient services.

About

Patient Delight Management aims to implement an effective patient feedback capturing system with Turn Around Time (TAT) based addressing mechanism. It has a 360 degree approach starting with maximum collation of feedbacks through integrated multi-modes further categorizing the feedbacks into pre-defined categories for proving the relevant solution with the help of Root Cause Analysis (RCA) and further Corrective Action Preventive Action (CAPA) to improvise the service excellence for patient delight. The cycle ends with the sophisticated Patient Communication to builds the foundation of long-term healthy relationships with the patient.

Features

Patient Delight Management aims to implement an effective patient feedback capturing system with Turn Around Time (TAT) based addressing mechanism. It has a 360 degree approach starting with maximum collation of feedbacks through integrated multi-modes further categorizing the feedbacks into pre-defined categories for proving the relevant solution with the help of Root Cause Analysis (RCA) and further Corrective Action Preventive Action (CAPA) to improvise the service excellence for patient delight. The cycle ends with the sophisticated Patient Communication to builds the foundation of long-term healthy relationships with the patient.

Benefits

  • Incidental allocation of complaints to the respective departments aids to systematic workflow
  •  It helps in immediate acknowledgment of customer’s complaint or requests
  •  Also helps in finding out the loopholes in the system on the basis of frequent complaints and time taken to resolve the issue by particular department
  •  Analytical graphical dashboards shows the productivity score based on employee and categories of department.