FAQ
Directory Compliance
Automated quarterly (90-day) provider attestations
- ProviderLenz automatically sends quarterly attestation requests (via email and e-fax) to providers to verify directory information, which is designed to satisfy CMS and No Surprises Act requirements.
Continuous provider data validation
- Rather than relying solely on quarterly outreach, ProviderLenz continuously validates provider data using public and private data sources and direct provider input. Our platform monitors data quality in real time.
Our platform uses AI-driven provider data validation, scoring, and monitoring to identify potential ghost-network providers and directory inaccuracies before members encounter them or regulators find them during audits. The platform continuously analyzes provider data from multiple sources, detects discrepancies at ingestion, scores data quality, and automatically initiates remediation workflows when confidence in a provider record falls below acceptable thresholds.
Cúratus delivers an accurate, real-time provider directory by continuously validating provider data, synchronizing updates across systems, and incorporating direct provider attestations so members can confidently select a provider and successfully book an appointment.
Rather than relying on periodic directory refreshes, ProviderLenz™ continuously monitors provider information and updates directories as changes are verified. This helps ensure that providers listed as in-network, practicing at a location, and accepting patients are actually available when members need care.
Primary Source Verification (PSV) is the process of verifying a healthcare provider’s credentials directly with the original issuing or authoritative source, rather than relying on copies provided by the practitioner. PSV is a core requirement for credentialing and is mandated by accrediting organizations, government programs, and health plans.
Provider Data Accuracy
Provider data management (PDM) is the systematic process of collecting, validating, curating, and maintaining accurate information about healthcare providers — names, NPIs, TINs, specialties, locations, credentials, network status — across every downstream system that depends on it. Done well, PDM produces a single source of truth that Network Operations, Payment Integrity, Credentialing, and Member Services all share. Done poorly, it produces the Silo Tax described above.
Healthcare data quality issues occur when provider information is inaccurate, incomplete, inconsistent, duplicated, or out of date across healthcare systems. These issues create operational inefficiencies, regulatory risk, member dissatisfaction, and increased administrative costs.
Provider data is standardized across systems by creating a single source of truth for provider information, applying consistent data governance rules, resolving duplicates, normalizing provider attributes, and continuously synchronizing validated data across all downstream applications.
Without standardization, health plans often have conflicting provider records across credentialing, contracting, claims, network management, and provider directory systems.
Data accuracy is measured by evaluating how closely your data reflects real-world conditions. In provider data management, this means validating provider information against authoritative sources, monitoring for discrepancies, and assigning measurable quality scores that indicate confidence in the accuracy, completeness, and reliability of each record.
Provider data becomes inconsistent because it is scattered across many disconnected systems, relies heavily on manual updates, and changes constantly as providers move, change affiliations, update credentials, or join and leave networks. Provider information often comes from multiple sources that are not linked together, creating duplicate, outdated, or conflicting records.
The solution is not more manual cleanup, but a centralized, automated provider data management approach.
In the payer context, PDM (Provider Data Management) is the discipline of keeping every provider attribute synchronized across the directory, the claims system, the credentialing file, and the contract. Inconsistency between these systems is what drives pended claims, inaccurate directories, and CMS audit exposure. A modern PDM approach replaces manual reconciliation with automated validation against authoritative sources.
Credentialing
These issues are detected through AI-driven provider data management that:
- Normalizes provider affiliations and roster data.
- Detects duplicate, conflicting, or anomalous records at ingestion.
- Validates provider information against authoritative sources.
- Assigns an Accuracy Confidence Level (ACL) score to identify suspect records.
- Continuously monitors provider data quality rather than relying on periodic audits.
Roster fraud or inaccurate rosters are detected through automated roster validation, anomaly detection, source reconciliation, and ongoing provider data scoring.
Provider credentialing is the process of collecting, verifying, maintaining, and periodically revalidating provider information and required documentation to ensure providers meet regulatory, payer, and network participation requirements. Cúratus streamlines this process through automated document collection, centralized provider records, ongoing monitoring, and support for recredentialing activities.
Credentialing automation starts with eliminating fragmented data and manual follow-up. ProviderLenz™ automates document collection, provider outreach, recredentialing activities, and ongoing provider data validation while maintaining a single source of truth for provider information. By combining AI-powered data management, workflow automation, and integrated provider communications, health plans and provider organizations can reduce administrative burden, accelerate onboarding, improve compliance, and build a more accurate and trusted provider network.
Healthcare organizations must maintain accurate provider records, verify credentials, perform recredentialing, monitor sanctions and exclusions, and maintain audit-ready documentation to satisfy CMS and NCQA standards. ProviderLenz™ supports these requirements through automated credentialing support, provider data validation, sanctions monitoring, provider attestations, and compliance reporting capabilities.
30–60 days for relatively straightforward credentialing cases with complete documentation.
60–120+ days for payer enrollment and credentialing processes involving multiple verifications, follow-up requests, or missing information.
Longer when providers have multiple state licenses, complex practice arrangements, or incomplete submissions.
Provider Enrollment
Provider onboarding delays are often caused by fragmented provider data, manual credentialing processes, repetitive document requests, and disconnected systems. ProviderLenz™ helps accelerate onboarding by automating provider data collection, document management, credentialing support, recredentialing workflows, provider communications, and data validation. By maintaining a single source of truth for provider information and reducing manual administrative work, organizations can improve provider readiness, shorten onboarding timelines, and enable new providers to become productive more quickly.
Successful payer enrollment depends on accurate, validated provider data. ProviderLenz™ helps streamline enrollment by creating a single source of truth for provider information, automating document collection, validating provider records against authoritative sources, managing provider rosters, and supporting credentialing and recredentialing workflows. By reducing data errors and manual administrative work, organizations can accelerate enrollment readiness and improve operational efficiency.
Provider enrollment delays are administrative and data-related bottlenecks that prevent providers from becoming active with payers and billing for services. Common causes include incomplete provider information, inaccurate data, manual credentialing workflows, disconnected systems, and provider roster discrepancies.
ProviderLenz™ helps reduce these delays through automated provider data validation, document management, provider communications, credentialing support, and centralized provider data management, enabling organizations to move providers through onboarding and enrollment processes more efficiently.
Roster Management & Data Ingestion
ProviderLenz™ automates provider roster ingestion by standardizing and validating roster data regardless of source format. The platform maps incoming roster files to a common provider data model, identifies discrepancies, enriches provider records, and reconciles changes against existing provider data. By automating normalization and validation, organizations can reduce manual effort, improve data quality, and maintain an accurate, trusted source of provider information across the enterprise.
Yes, we automatically detect what has been changed, errors, missing information, duplications and so on. These are flagged and that is when we come in and help correct the issues.
Yes. That is why we use our program ProviderLenz™. We promise to keep the 120-day attestations current as we want you and your providers to stay compliant and not be billed for incorrect data.
Expiring licenses and certifications are tracked through centralized provider data management and continuous monitoring of credential information. ProviderLenz™ maintains up-to-date provider records, validates credentials against authoritative sources, and automates workflows to identify and address upcoming expirations. This enables organizations to proactively manage recredentialing, reduce compliance risk, and ensure provider data remains accurate across all systems.
Network Adequacy & Development
If your health insurance plan is enrolled with Cúratus, you can go to your health plans website to “Find a Doctor”.
Once you arrive, you will be asked questions on whether you want to search by name, specialty, and/or where. You will be given results of each doctor that has the criteria of your search and included under your health insurance plan.
Another way, to find a doctor near you is to go to providerlenz.com, login and search for providers with as many inputs as you need/want. Search, and it will come up with as many matches as it can.
Network adequacy refers to a health plan’s ability to ensure that its provider network is sufficiently robust, accurately represented, and accessible so that members can receive timely care across required specialties and geographies. It depends on maintaining accurate provider data, validating provider participation, and continuously updating provider information across systems.
Cúratus supports network adequacy efforts by ensuring provider data is continuously validated, normalized, and kept current, helping reduce inaccuracies that can impact network reporting and compliance.
A health plan must establish and maintain a network of qualified providers that is adequate to deliver covered services and meet the needs of its members. The contracted provider network should be structured in a manner consistent with the prevailing patterns of care throughout the network service area.
Healthcare interoperability is the ability for healthcare systems and organizations to exchange provider data across multiple sources and platforms. While interoperability enables data sharing at scale, it also introduces the risk of distributing inconsistent or inaccurate information.
Cúratus addresses this challenge by applying a data curation layer that validates, scores, and normalizes incoming provider data—turning high-volume interoperability “noise” into trusted, actionable provider intelligence.
Sanctions, Exclusions & Preclusion Monitoring
The CMS Preclusion List is accessed through the CMS Enterprise Portal by authorized Medicare Advantage and Part D organizations and is distributed as a structured data file updated approximately monthly. Organizations must match listed providers using identifiers such as NPI and Tax Identification Number against internal provider systems to ensure compliance. Because manual review is complex and error-prone, ProviderLenz™
automates Preclusion List monitoring by continuously ingesting CMS updates, validating provider data against internal records, and flagging any matches to ensure precluded providers are not included in claims, enrollment, or network operations.
A sanctioned provider is a healthcare provider who has been formally disciplined, restricted, or excluded by a regulatory body, payer, or government program due to issues such as fraud, abuse, licensing violations, or failure to meet compliance requirements. Sanctioned providers may be prohibited from participating in federal healthcare programs or receiving reimbursement.
Cúratus supports organizations in identifying sanctioned providers through continuous monitoring of federal and state exclusion sources and matching this information against internal provider data to ensure non-compliant providers are quickly identified and addressed.
A CMS sanction is an enforcement action issued by the Centers for Medicare & Medicaid Services that restricts or prohibits a provider or organization from participating in Medicare and Medicaid programs due to non-compliance with federal regulations. Sanctions may include exclusion from billing, placement on the CMS Preclusion List, or termination from program participation.
Cúratus helps organizations manage CMS sanctions by continuously monitoring federal exclusion data sources, matching sanctioned providers against internal records, and ensuring that ineligible providers are identified and addressed across credentialing, enrollment, and claims systems.
Automation / AI in Healhcare Ops
AI in healthcare operations refers to the use of artificial intelligence to ingest, validate, normalize, and continuously monitor healthcare data—especially provider data—across fragmented systems. Instead of replacing human decision-making, AI is used to curate high-volume, inconsistent data from multiple sources, detect errors or anomalies, assign confidence or quality scores, and ensure that downstream operational systems (such as credentialing, claims, directories, and network management) are working from accurate and trusted information.
Cúratus applies AI through its ProviderLenz™ platform as a data curation and validation engine that turns fragmented, high-volume provider data into a single, reliable source of truth.
Yes, healthcare workflows can be automated, particularly administrative and provider operations processes such as credentialing, onboarding, roster management, sanctions monitoring, and provider data validation. However, effective automation depends on having accurate and continuously maintained provider data.
Cúratus enables workflow automation through its ProviderLenz™ platform by combining AI-driven data validation with automated workflows that ensure provider information is collected, verified, and synchronized across systems. This helps organizations reduce manual effort, improve data accuracy, and streamline operational processes across the provider lifecycle.
Automated data validation is the use of AI-driven rules, matching logic, and external authoritative data sources to continuously verify and correct data without manual intervention. In healthcare operations, it ensures that provider information remains accurate, complete, and consistent across systems by identifying discrepancies, resolving duplicates, and validating records against trusted sources in real time.
Cúratus applies automated data validation through its ProviderLenz™ platform to continuously curate provider data, assign confidence to incoming updates, and maintain a single, trusted source of truth that supports credentialing, enrollment, network management, and other operational workflows.
AI can help detect fraudulent or invalid provider records by continuously analyzing provider data across multiple sources, identifying inconsistencies, and flagging records that do not align with trusted authoritative information. In healthcare operations, this includes detecting duplicate or non-existent providers, mismatched identifiers, invalid network participation status, and outdated or conflicting directory entries.
Cúratus applies AI through its ProviderLenz™ platform to validate and curate provider data in real time, assign confidence scores to incoming information, and ensure that only accurate, verified provider records are used across credentialing, enrollment, network management, and compliance workflows.
Provider Directory and Online Portal
If your health insurance plan is enrolled with Cúratus, you can go to your health plans website to “Find a Doctor”.
Once you arrive, you will be asked questions on whether you want to search by name, specialty, and/or where. You will be given results of each doctor that has the criteria of your search and included under your health insurance plan.
Another way, to find a doctor near you is to go to providerlenz.com, login and search for providers with as many inputs as you need/want. Search, and it will come up with as many matches as it can.
Yes, healthcare workflows can be automated, especially administrative and provider operations workflows such as credentialing, roster management, sanctions monitoring, and provider onboarding. However, Cúratus emphasizes that successful automation depends on first having accurate, continuously validated provider data—because automation built on inconsistent data can amplify errors rather than eliminate them.
Reducing claim denials requires ensuring that provider and network data used in claims processing is accurate, current, and consistently maintained across all systems. Many claim denials are driven by incorrect or outdated provider information, such as mismatched NPIs, inaccurate network participation status, or inconsistent credentialing records.
Cúratus helps reduce these issues through its ProviderLenz™ platform by continuously validating and reconciling provider data, synchronizing updates across credentialing, enrollment, and claims systems, and maintaining a single source of truth for provider information. This helps prevent avoidable errors that can lead to downstream claim rejections.
Cúratus or ProviderLenz
Cúratus’ provider directory portal software—delivered through its ProviderLenz platform—is an AI-driven, real-time provider directory and data management system designed for health plans to maintain accurate, CMS-compliant provider directories and member-facing search tools.
In Cúratus’ framing, it is not just a “directory website,” but part of a broader provider data operating system that continuously updates, validates, and synchronizes provider information across the health plan.
Contract Lifecycle Management (CLM) is the process of managing contracts from initiation through execution, compliance, renewal, and storage. In healthcare operations, CLM ensures that provider contracts are accurately created, approved, executed, and maintained in alignment with provider data and network requirements.
Cúratus’ ProviderLenz™ platform streamlines CLM by automating contract workflows, integrating AI-driven insights, and connecting contract data with provider data systems such as credentialing, roster management, and network operations. This helps ensure contracts remain accurate, compliant, and synchronized across the organization throughout their lifecycle.