Closing the Gap Between Claims Data and Population Health

Authors

  • Dileep Valiki Author
    Competing Interests

    AI,ML

Keywords:

Business Intelligence, Claims Adjudication, Claims Analytics, Claims Intelligence, Claims Integrity, Data-Driven Healthcare, Health Insurance, Healthcare Analytics, Integrated Payer Operations Model (IPOM), Key Performance Indicators (KPIs), Population Health Management, Revenue Management, Risk Management, Social Determinants of Health.

Abstract

Health insurers today act mainly as third-party administrators of health benefits for public and private payers. They are not integrated organizations able to generate, absorb, and use claims data to produce actionable insights. This creates serious operational gaps and narrows the competitive reach of traditional risk and revenue management services.

To address this, we propose an Integrated Payer Operations Model (IPOM), organized into operational domains that manage all key-population (KP) data through a shared data infrastructure. These domains support business intelligence products and services that improve community health and direct mitigation funding toward high-impact, low-cost interventions on the social determinants of health.

We use the Claims Intelligence domain to show how the model is designed and to estimate its addressable market. Claims Intelligence is an analytical framework that examines every health service used by the insured population. It lets payers flag suboptimal resource use across the full continuum of care from the demand side.

Claims adjudication is the first step in processing a medical claim. It checks that coverage is valid and that the claimed amount is admissible. Whether claims are administered in-house or externally, payments on legitimate claims must be timely and accurate to preserve the goodwill of the insured population. Altered reimbursement signals a risk area that can undermine continuity of coverage or reduce member engagement. Developing Key Performance Indicators (KPIs) for claims adjudication and integrity therefore serves two purposes. It meets an evidence-based accountability requirement for insurers, and it offers a proactive income assurance service for health fund management and for private, corporate, and public sector risk management.

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Additional Files

Published

2025-08-21

Data Availability Statement

None

How to Cite

Closing the Gap Between Claims Data and Population Health. (2025). The American Journal of Analytics and Artificial Intelligence (AJAAI), 3(03). https://ajaaai.org/index.php/ajaai/article/view/53

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