Healthcare Payer Analytics Software Solutions

Digitize Healthcare Data with Healthcare Payer Analytics

The Growing Challenges

The common bottlenecks which might slow down your business growth

Redundant Health Plans

Stringent processes of reporting and systems that are not measuring up to the evolving reforms in the healthcare industry.

Claims Frauds

Low quality measuring systems and tracking puts a strain on the revenue stream due to the increasing number of frauds.

Unstructured Data

Scattered and disorganized data proves to be meaningless and a burden on payer organizations, without offering any analytics.

Low Quality Legacy Systems

The existent analytics technology is not able to cope with the huge volumes of data and therefore proves to be useless.

Low Level Interoperability

Old systems lack the potential to offer interoperability between physicians, clinics, administrative staff and patients for holistic analysis.

Evolving Regulations

Constantly changing reforms and regulations lay an added burden on healthcare payer organizations, as systems struggle to keep up.

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How OSP works

Quality Measurement through Healthcare Payer Analytics Solutions

Process unification of clinical and financial data through effective measuring and reporting analytics

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Solutions

Collaborative Analytics

A technology that looks to provide interoperability between clinics, payers and patients through a collaborative data framework that promotes information sharing, analysis and insight rendering to populate and manage patient data with regard to healthcare payer analytics solutions.
Economic Analytics

This healthcare payer data analytics technology analyses every aspect of the economy of the payer organization to provides insights into the costs involved, the quality areas, populations at-risk, through pattern identification and provides suggestions toward mitigating frauds and revenue loss.
Reporting Analytics

The reporting aspect of healthcare payer data analytics drives organization and employee satisfaction through interactivity and sharing of performance metrics and reports of process efficiency. The reporting technology ensures that all payer organization related processes are clearly understood with minimal scope for error.
Provider Analytics

The provider aspect is addressed through healthcare payer data analytics solutions, wherein the technology creates and offers valuable feedback towards the cost and performance of related provider networks through pattern identification and data mining. This enhances the organization’s ability of extract value from providers.
Population Analytics

This category of healthcare payer data analytics solutions cumulates population health and analyzes data to identify at-risk populations, which can considerably improve caregiving and payer strategies and promote holistic caregiving by addressing the relevant population with its own particular needs.
Progress Analytics

Among the many healthcare payer data analytics software solutions, progress tracking is critical toward the smooth execution of the organization’s payer-related plans and activities. It keeps the organization in tandem with data-related research and tracks the progress to offer holistic and valuable feedback.

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Use Cases

How Claims Fraud Detection can be enhanced?

Through the deployment of real-time information sharing across physicians, clinics, patients and payer organization, pattern identification is undertaken to detect potential frauds towards claims. Missing or incorrect information is highlighted, gaps are identified, unrequired services are avoided, separate billing procedures are reduced and miscoding is realized. This form of payer analytics uses interoperability data analysis to track and mitigate potential frauds before realization.

What We Offer?

Quality Analytics

At OSP Labs, we deploy predictive analysis and care quality intervention strategies to put together data and information to offer insights that can render substantial quality improvement. This strategy toward healthcare payer data analytics software identifies critical factors and measures from the data to provide feedback towards quality improvement towards claims data and clinical components.

Risk Adjustment

We undertake the implementation of solutions that come with the capability to monitor structured and unstructured forms of data to analyse historical and current healthcare information to identify and predict areas that require intervention. Through data mining embedding in our healthcare payer data analytics software costs are substantially reduced and outcomes are improved substantially with actuarial risk adjustment and fraud detection and vulnerability tracking.

Evolving and Holistic Compliance Alignment

As regulatory processes and compliance procedures evolve, our healthcare payer analytics software is geared to automatically adapt and comply with the changing regulatory requirement. We further provide consulting support to orient the entire payer organization with the changing structures and help your organization to adjust to the modifications and reap the benefits of the same.

Keeping Your Trust, Always

We follow every government's regulatory mandate and create solutions that adhere to strict protocols.

Latest Talks

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insights

The Map of Healthcare Analytics Domains

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