Six Sigma to Reduce Claims Processing Errors in a Healthcare Payer Firm
As a continuous improvement practice, Six Sigma has been accepted globally across the service industry. In the past one decade, the application and success of Six Sigma in healthcare services has been remarkable. Despite the fact that several papers on Six Sigma have appeared in the erstwhile litera...
| Main Authors: | , |
|---|---|
| Format: | Journal Article |
| Published: |
Taylor and Francis
2020
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10986/33660 |
| id |
okr-10986-33660 |
|---|---|
| recordtype |
oai_dc |
| spelling |
okr-10986-336602021-05-25T10:54:44Z Six Sigma to Reduce Claims Processing Errors in a Healthcare Payer Firm Sunder M, Vijaya Kunnath, Nidhin R. SIX SIGMA QUALITY CONTROL QUALITY ASSURANCE SYSTEM HELATHCARE OUTSOURCING DMAIC BUSINESS PROCESS OUTSOURCING As a continuous improvement practice, Six Sigma has been accepted globally across the service industry. In the past one decade, the application and success of Six Sigma in healthcare services has been remarkable. Despite the fact that several papers on Six Sigma have appeared in the erstwhile literature related to healthcare operations, there is a dearth of field studies highlighting the application of Six Sigma in healthcare outsourced firms, in specific to healthcare payers that engage in a non-clinical setup. The aim of this paper is to explore the role of Six Sigma within the healthcare payer outsourced firms, where error-free delivery becomes critical. The article contributes to the literature of Six Sigma in healthcare outsourcing highlighting how “Six Sigma as a methodology” could help reduce claims adjudication errors in a healthcare payer firm. The Six Sigma DMAIC project case study presented as part of the paper delivered a saving of USD 0.53 million and is a classic example of how Six Sigma can bring bottom-line impact to healthcare outsourced organizations. Managerial implications and lessons learned are discussed alongside the concluding notes. 2020-04-28T18:58:14Z 2020-04-28T18:58:14Z 2020-06 Journal Article Production Planning and Control 0953-7287 http://hdl.handle.net/10986/33660 CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Taylor and Francis Publications & Research Publications & Research :: Journal Article South Asia India |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| topic |
SIX SIGMA QUALITY CONTROL QUALITY ASSURANCE SYSTEM HELATHCARE OUTSOURCING DMAIC BUSINESS PROCESS OUTSOURCING |
| spellingShingle |
SIX SIGMA QUALITY CONTROL QUALITY ASSURANCE SYSTEM HELATHCARE OUTSOURCING DMAIC BUSINESS PROCESS OUTSOURCING Sunder M, Vijaya Kunnath, Nidhin R. Six Sigma to Reduce Claims Processing Errors in a Healthcare Payer Firm |
| geographic_facet |
South Asia India |
| description |
As a continuous improvement practice, Six Sigma has been accepted globally across the service industry. In the past one decade, the application and success of Six Sigma in healthcare services has been remarkable. Despite the fact that several papers on Six Sigma have appeared in the erstwhile literature related to healthcare operations, there is a dearth of field studies highlighting the application of Six Sigma in healthcare outsourced firms, in specific to healthcare payers that engage in a non-clinical setup. The aim of this paper is to explore the role of Six Sigma within the healthcare payer outsourced firms, where error-free delivery becomes critical. The article contributes to the literature of Six Sigma in healthcare outsourcing highlighting how “Six Sigma as a methodology” could help reduce claims adjudication errors in a healthcare payer firm. The Six Sigma DMAIC project case study presented as part of the paper delivered a saving of USD 0.53 million and is a classic example of how Six Sigma can bring bottom-line impact to healthcare outsourced organizations. Managerial implications and lessons learned are discussed alongside the concluding notes. |
| format |
Journal Article |
| author |
Sunder M, Vijaya Kunnath, Nidhin R. |
| author_facet |
Sunder M, Vijaya Kunnath, Nidhin R. |
| author_sort |
Sunder M, Vijaya |
| title |
Six Sigma to Reduce Claims Processing Errors in a Healthcare Payer Firm |
| title_short |
Six Sigma to Reduce Claims Processing Errors in a Healthcare Payer Firm |
| title_full |
Six Sigma to Reduce Claims Processing Errors in a Healthcare Payer Firm |
| title_fullStr |
Six Sigma to Reduce Claims Processing Errors in a Healthcare Payer Firm |
| title_full_unstemmed |
Six Sigma to Reduce Claims Processing Errors in a Healthcare Payer Firm |
| title_sort |
six sigma to reduce claims processing errors in a healthcare payer firm |
| publisher |
Taylor and Francis |
| publishDate |
2020 |
| url |
http://hdl.handle.net/10986/33660 |
| _version_ |
1764479244074745856 |