Medical
fraud detection management market actually helps in preventing healthcare
fraud, waste, and abuse. Healthcare fraud is completely a misrepresentation or
intentional deception of facts by healthcare professionals or patients, which
can be lead to unauthorized payments or benefits. Some examples of healthcare
frauds are including falsified data by physicians, multiple claims filed by
different providers for the same patients, submitting claims for services which
are not provided, misrepresenting dates in various treatments, frequency, and
duration or description of services provided.
Request
for Sample Report@ https://www.alliedmarketresearch.com/request-sample/5629
Medical
fraud is increasingly apperceived as one of serious social concerns. Healthcare
fraud is a problem for the government and there is a need more effective
detection method; which requires great amount of efforts with proper medical
knowledge. Traditionally healthcare fraud detection greatly depended on the
experience of domain experts, which is erroneous, expensive, and time
consuming. Manual detection of healthcare fraud involves a few auditors who
manually review and identify the suspicious medical insurance claims, which
requires much effort. However, with the advancement in machine learning, and
data mining techniques there is a way for more efficient and automated
detection of healthcare frauds. There has been a growing interest in mining
healthcare data for fraud detection in the recent years.
The
medical fraud detection management market is segmented based on type,
component, delivery mode, application by end users and region. Type wise, the
healthcare fraud detection management market is segmented in descriptive
analytics, predictive analytics, and prescriptive analytics. Based on
component, the medical fraud detection management market is segmented into software and services. By the mode of delivery,
the market is segmented into on-premise and on demand. Application wise, the
medical fraud detection management market is segmented in insurance claims
review, payment integrity, and other applications. The market is segmented by
end users into private insurance payers, public/government agencies, employers,
third party service providers. Region wise, the medical fraud detection
management market has been analyzed across North America, Europe, Asia-Pacific,
and LAMEA.
Purchase
Inquiry@ https://www.alliedmarketresearch.com/purchase-enquiry/5629
The key
players of medical fraud detection management market include - IBM, Optum,
Verscend Technologies, McKesson, Fair Isaac, SAS Institute, HCL Technologies,
Wipro, Conduent, CGI Grou
Key Benefits For Stakeholders
- This
report provides a detailed quantitative analysis of the current healthcare
fraud detection management market trends and forecast estimations from
2018 to 2025, which assists to identify the prevailing
opportunities.
- An
in-depth market analysis includes analysis of various regions is
anticipated to provide a detailed understanding of the current trends to
enable stakeholders formulate region-specific plans.
- A
comprehensive analysis of the factors that drive and restrain the growth
of the global market is provided.
- Region-wise
and country-wise market conditions are comprehensively analyzed in this
report.
- The
projections in this report are made by analyzing the current market trends
and future market potential from 2018 to 2025 in terms of value.
0 Comments