Asia Pacific Healthcare Fraud Analytics Market to Grow at a Significant CAGR of 23.7% Through 2028 –

DUBLIN–(BUSINESS WIRE)–The “Asia Pacific Healthcare Fraud Analytics Market Size, Share & Industry Trends Analysis Report By Delivery Model, By Application, By End User, By Solution Type, By Country and Growth Forecast, 2022 – 2028” report has been added to’s offering.

The Asia Pacific Healthcare Fraud Analytics Market is expected to witness market growth of 23.7% CAGR during the forecast period (2022-2028).

Before alerts are sent to analysts, clinicians, or investigators, the system uses risk- and value-based scoring models to appropriately evaluate and prioritize them.

Because of the time saved, valuable personnel can work on more cases with higher efficiency and concentrate on higher-value networks that generate a higher return on investment. More precise scoring also implies fewer false positives, which means less customer annoyance and more customer satisfaction.

With a powerful fraud analytics engine that examines all data in real-time or batch, organization can also detect more payment integrity violations than ever before. The solution, which runs on SAS Viya, combines advanced analytics with embedded artificial intelligence (AI) and machine learning algorithms, as well as other techniques such as outlier analysis, business rules, database searches, text mining, network link analysis, exception reporting, and so on, to uncover more suspicious activity with greater precision.

In Asia Pacific region, substantial number of population do have a health insurance, hence numerous people out of that population are found committing healthcare fraud with an objective of getting the lump sum insurance amount. Similarly, many skilled and qualified surgeons and other healthcare professionals are found making high level healthcare fraud with carefully designed schemes to conceal the fraud. The medical association of the region as well as the respective government of the region are bringing relevant policies and regulations to get rid of such healthcare frauds, but it is not enough as whole medical infrastructure of the region is demanding the incorporation of Healthcare Fraud Analytics System to systematically get rid of all kind of healthcare frauds by both patients and healthcare professionals.

The China market dominated the Asia Pacific Prescriptive Analytics Market by Country in 2021, and is expected to continue to be a dominant market till 2028; thereby, achieving a market value of $116.5 million by 2028. The Japan market is Poised to grow at a CAGR of 23.6% during (2022 – 2028). Additionally, The India market is expected to showcase a CAGR of 25.1% during (2022 – 2028).

Scope of the Study

Market Segments Covered in the Report:

By Delivery Model

  • On-premise
  • Cloud

By Application

  • Insurance Claim Review
  • Pharmacy billing Issue
  • Payment Integrity
  • Others

By End User

  • Public & Government Agencies
  • Private Insurance Payers
  • Third-party Service Providers
  • Employers

By Solution Type

  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics

By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players

List of Companies Profiled in the Report:

  • Wipro Limited
  • IBM Corporation
  • DXC Technology Company
  • SAS Institute, Inc.
  • Conduent, Incorporated
  • HCL Technologies Ltd.
  • UnitedHealth Group, Inc. (Optum, Inc.)
  • OSP Labs
  • Cotiviti, Inc.
  • ExlService Holdings, Inc.

Key Topics Covered:

Chapter 1. Market Scope & Methodology

Chapter 2. Market Overview

Chapter 3. Competition Analysis – Global

Chapter 4. Asia Pacific Healthcare Fraud Analytics Market by Delivery Model

Chapter 5. Asia Pacific Healthcare Fraud Analytics Market by Application

Chapter 6. Asia Pacific Healthcare Fraud Analytics Market by End User

Chapter 7. Asia Pacific Healthcare Fraud Analytics Market by Solution Type

Chapter 8. Asia Pacific Healthcare Fraud Analytics Market by Country

Chapter 9. Company Profiles

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