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What is DRILLER?

DRILLER is a cutting-edge analytics platform aimed at transforming the digitization and comprehensive analysis of insurance portfolios by effectively managing both structured and unstructured data. This solution significantly improves the understanding of the portfolio's resilience and the nature of claims. By utilizing its advanced features, it accelerates reserve releases, leading to reduced requirements for solvency capital and minimized capital costs. The innovative tool leverages artificial intelligence to perform in-depth evaluations of portfolios and claims, while also predicting potential adverse developments in claims through a sophisticated severity scoring mechanism. Furthermore, it enables the prompt identification of claims that may be either under-reserved or over-reserved. Users gain access to fully searchable documentation and claims, coupled with valuable insights into the structure of the portfolio. The tool excels in recognizing various elements such as characters, numbers, and sentiment while efficiently categorizing documents and identifying specific characteristics of claims. It also simplifies the process of reviewing and prioritizing critical claims that require urgent attention, all supported by automated analysis across the entire portfolio, thereby enhancing both operational efficiency and informed decision-making. In addition, the platform continually evolves to incorporate user feedback, ensuring it remains relevant and effective in meeting the dynamic needs of the insurance industry.

What is Assurance Reimbursement Management?

Explore a specialized analytics-driven tool crafted for healthcare providers to effectively manage claims and remittances, aiming to refine workflows, optimize resource utilization, decrease denial rates, and improve cash flow. Enhance your initial claim acceptance rates with our comprehensive editing suite that ensures compliance with the latest payer guidelines and regulations. Increase your team's productivity by leveraging intuitive workflows that focus on exceptions while automating repetitive tasks. Your staff can easily access our adaptable, cloud-based platform from any device, promoting uninterrupted operations. Simplify the handling of secondary claims with the automatic generation of secondary claims and explanations of benefits (EOB) derived from primary remittance advice. Utilize predictive artificial intelligence to prioritize claims that need urgent attention, facilitating quicker error resolution and reducing the likelihood of denials before submission. Whether you are processing primary paper claims or organizing claims and EOBs for secondary submissions, you will experience enhanced efficiency in your claims processing. By adopting these innovative features, you can substantially improve your claims management approach and take your practice to the next level. This progressive solution not only streamlines operations but also empowers your team to focus on delivering exceptional patient care.

Media

Media

Integrations Supported

Integrations Supported

Adobe Document Cloud
Amazon Web Services (AWS)
Experian Aperture Data Studio
Hyperledger Fabric
Microsoft 365

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

DGTAL

Company Location

Germany

Company Website

dgtal.io/products/

Company Facts

Organization Name

Change Healthcare

Date Founded

2007

Company Location

United States

Company Website

www.changehealthcare.com/solutions/revenue-cycle-management/reimbursement-management/assurance-reimbursement-management

Categories and Features

AI Insurance

Not specified

Insurance

Not specified

Categories and Features

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