Abstract

Lean methodologies are increasingly deployed by healthcare providers to improve billing and collection process in revenue cycle management. Measurement on key performance metrics generates large amount of data. Traditional tabular and spreadsheet form analytics are not efficient to support enterprise scale lean improvement sustainability. This paper introduces a new breed of visual dashboard technology and its value as emerging differentiator from traditional business intelligence, especially in the rapid deployment and usability perspective. We present an exemplary case of using QlikView dashboard for lean revenue cycle management. Initial evaluation result is promising and indicates the dashboard empowers end users with intuitive and interactive experience, ad-hoc questions and answers. Integrating performance dashboard with enterprise data governance, predictive modeling will be evaluated further in future study.

Highlights

  • The US healthcare industry is in process of transforming from the fee-for-service to pay-for-performance payment model to provide patients with quality care at low cost

  • This paper introduces a new breed of visual dashboard technology and its value as emerging differentiator from traditional business intelligence, especially in the rapid deployment and usability perspective

  • We present an exemplary case of using QlikView dashboard for lean revenue cycle management

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Summary

Introduction

The US healthcare industry is in process of transforming from the fee-for-service to pay-for-performance payment model to provide patients with quality care at low cost. This has dramatic financial impact on the healthcare revenue cycle management. Lean methodologies are increasingly deployed by providers for billing and collection processes in revenue cycle management [2]. Efficient data visualization tools and techniques are in great demand to help translate collected data into meaningful, actionable insight in real time and in a cost-effective manner to support lean improvement.

Business Challenge and Motivation
Visual Dashboard Architecture
Findings
Result and Discussion
Conclusions
Full Text
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