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Sidecar Health
Case Studies

How Sidecar Health Scaled Their Members' Ability to Shop for Care Nationwide

Sidecar Health removed 140,000 inactive provider records, reached 96.4% phone number accuracy and let members see guaranteed costs for 85% of care across all 50 states with Candor Health's verified provider data.
Blog

The Double-Edged Sword: How AI Is Reshaping Provider Data Accuracy

AI is the best tool we've ever had for keeping provider records accurate, and the fastest way to spread the errors already hiding in them. Here's how both edges cut, and what it takes to keep your provider data accurate.
Sury Agarwal
Sury Agarwal
The Double-Edged Sword: How AI Is Reshaping Provider Data Accuracy
1-Pager · Overview

The Infrastructure Behind Provider Data You Can Trust

Provider data powers critical workflows across every part of healthcare. It's also the hardest layer to keep accurate and current. That's what Candor Health solves.
Candor Health Overview
1-Pager · For Digital Health

It All Works Better When the Data Is Accurate

Revenue teams are burning hours on stale provider data. Product teams are building care navigation on directories that are wrong before they go live.
Candor Health for Digital Health
1-Pager · For Health Plans

Know Your Accuracy Score Before the Auditors Do

Every health plan knows its provider directory is flawed. The challenge isn't finding problems, it's knowing what to fix. Accuracy starts with Candor Health.
Candor Health for Health Plans
1-Pager · For Health Systems

Growth Starts With Accurate Provider Data

Most health systems know patients are leaving their network. The challenge is knowing where they're going, why they're leaving, and having the data to act.
Candor Health for Health Systems
Infographic

Your 2028 REAL Health Providers Act Deadline Is Really October 15, 2027

Learn the REAL Health Providers Act requirements, key deadlines, and how Candor Health keeps directories accurate.
REAL Health Providers Act Infographic
Blog

Accurate Provider Data, Now Native to AI Agents: Introducing Candor Health's MCP

Today we're launching the Candor Health MCP (Model Context Protocol) so that agents can reach the same continuously verified provider data our customers already trust without scraping a directory or hallucinating a phone number.
Lucky Tavag
Lucky Tavag
Accurate Provider Data, Now Native to AI Agents: Introducing Candor Health's MCP
Blog

Provider Data Inaccuracies Solved: Introducing the Candor Health Accuracy Scorecard

Candor Health’s new Accuracy Scorecard measures provider data accuracy, benchmarks it against CMS, and delivers a tiered action plan to fix it — so leadership can measure, manage, and monitor with confidence.
Provider Data Inaccuracies Solved: Introducing the Candor Health Accuracy Scorecard
Blog

Your Highest ROI Before AI? Fixing Your Provider Data

AI Is only as good as the data beneath It. Automation cannot resolve this fundamental problem; it can only accelerate the propagation of existing inaccuracies. Before the next modernization project goes live, fix the data everything depends on.
Sury Agarwal
Sury Agarwal
Your Highest ROI Before AI? Fixing Your Provider Data
Blog

5 Reasons Your Provider Directory Is Wrong

Your provider directory was wrong before anyone noticed. And by the time someone did notice — a member denied care, a claim rejected, a regulator asking questions — the damage was already done. Here are five root causes that explain why your provider directory keeps breaking.
Sury Agarwal
Sury Agarwal
5 Reasons Your Provider Directory Is Wrong
Case Studies

How Sana Benefits Scaled Care Navigation with AI-Native Provider Intelligence

Sana Benefits cut referral processing time by 50% and grew care navigation volume by more than 50% with no added headcount, after replacing fragmented provider data with Candor Health's AI-native provider intelligence.
Sana Benefits
Blog

Why Provider Data Keeps Breaking — And Why Patching the Symptoms Doesn't Work

Provider directories don't fail because of bad luck or sloppy work. They fail because they're built on fragmented sources, self-reported data, infrequent refresh cycles, and no validation layer. Here's what it actually takes to fix the architecture, not just the symptoms.
Sury Agarwal
Sury Agarwal
Why Provider Data Keeps Breaking — And Why Patching the Symptoms Doesn't Work
Blog

CMS Is Publishing Your Provider Directory: Publicly, Daily, and by Name

A new CMS rule is making Medicare Advantage provider directory accuracy public, measurable, and a C-suite responsibility. Here's what plans need to know before the September 2026 deadline.
Sury Agarwal
Sury Agarwal
CMS Is Publishing Your Provider Directory: Publicly, Daily, and by Name
Blog

The Overlooked Bottleneck of Provider Data Accuracy

Most provider data accuracy initiatives focus on validation. But for many health plans, the real operational bottleneck begins much earlier — before validation workflows ever start. By the time inaccurate provider data surfaces in provider directories, referral systems, or claims workflows, inconsistencies may already exist across multiple downstream systems. Duplicate provider records, missing NPIs, outdated affiliations, and taxonomy mismatches often originate during provider roster ingestion itself. As provider networks become more fragmented and provider data volumes continue to grow, health plans are increasingly realizing that provider data quality is not just a validation challenge. It is an ingestion challenge.
Lucky Tavag
Lucky Tavag
The Overlooked Bottleneck of Provider Data Accuracy
Blog

Provider Data Accuracy Without Compromising Network Adequacy

Provider data accuracy and network adequacy are deeply connected, yet often at odds. In this Modern Healthcare article, learn how improving accuracy reveals access gaps and how health plans can stay compliant while protecting member access.
Sury Agarwal
Sury Agarwal
Provider Data Accuracy Without Compromising Network Adequacy
Blog

Four Takeaways for Smarter Provider Data Systems

Provider data accuracy has moved from operational nuisance to regulatory and reputational priority. In a recent Fierce Healthcare webinar, Candor Health, CertifyOS, and Oscar Health examined what it actually takes to build provider data infrastructure that holds up under current compliance demands and member expectations. One theme ran through the entire conversation: accuracy and infrastructure have to evolve together.
Sury Agarwal
Sury Agarwal
Four Takeaways for Smarter Provider Data Systems
Blog

Understanding the REAL Health Providers Act and No Surprises Act

For health plans, provider directory accuracy has long been an operational problem. Federal legislation is now turning it into a compliance obligation with financial penalties attached. The No Surprises Act (NSA), which took effect in 2022, and the proposed REAL Health Providers Act, expected to take effect in 2026, establish a new accountability framework for how provider data is collected, verified, and maintained. Together, the laws signal a broader regulatory shift: provider directory accuracy is moving from administrative burden to enforceable compliance requirement.
Sury Agarwal
Sury Agarwal
Understanding the REAL Health Providers Act and No Surprises Act
Blog

Making Healthcare Search More Reliable

Provider search is broken in ways that are easy to overlook until they affect patient outcomes. Today, most patients begin their healthcare journey online, yet many still struggle to confidently identify the right provider, verify insurance coverage, or determine whether appointment availability is actually current. When directories contain outdated network participation, incomplete specialty information, or inaccurate availability, even well-designed search experiences begin to break down.
Julianne Zech
Julianne Zech
Making Healthcare Search More Reliable
Blog

Building Inclusive Healthcare for LGBTQ Communities

For many LGBTQ individuals, finding healthcare is not simply about locating the nearest provider. It often involves determining whether care will feel safe, respectful, and affirming before an appointment is ever scheduled. Yet most provider search experiences offer very little visibility into that reality. Discriminatory laws, culturally incompetent providers, and gaps in provider directory data continue to create significant barriers to equitable healthcare access for LGBTQ communities. The result is not only delayed care, but measurable downstream health consequences. Research consistently shows that LGBTQ individuals are more likely than their peers to delay medical care due to fears of discrimination — a pattern directly linked to worsening health outcomes and reduced continuity of care.
Julianne Zech
Julianne Zech
Building Inclusive Healthcare for LGBTQ Communities
Blog

Improving Healthcare Interoperability with Accurate Provider Data

Real-World Solutions for Records Requests and Patient Referrals
Rob Nolan
Rob Nolan
Improving Healthcare Interoperability with Accurate Provider Data
Blog

Navigating Provider Data Challenges in Mental Health

Mental health provider directories have become a growing point of failure across behavioral health networks. Patients seeking care are often met with disconnected phone numbers, inaccurate insurance information, or providers who are no longer accepting new patients. A New York State Attorney General report found that 86% of listed in-network mental health providers were unavailable or inaccurately listed.
Julianne Zech
Julianne Zech
Navigating Provider Data Challenges in Mental Health
Blog

The Limits of Specialty Alone: Why Provider Search Needs Clinical Expertise

Provider specialty classifications were never designed to explain how providers actually practice. A common challenge faced in the healthcare industry is being able to search and find the doctors and facilities that specialize in treating a certain condition.
Julianne Zech
Julianne Zech
The Limits of Specialty Alone: Why Provider Search Needs Clinical Expertise
Blog

How Aligned Marketplace Built a More Reliable Provider Network

Finding a doctor who is actually in-network, accepting new patients, and available for an appointment is more difficult than it should be. For healthcare organizations building provider networks, that challenge often comes down to one issue: inaccurate provider data. Aligned Marketplace encountered that problem firsthand while building a national advanced primary care network and found that maintaining reliable provider availability required a more active approach to network monitoring.
Sury Agarwal
Sury Agarwal
How Aligned Marketplace Built a More Reliable Provider Network
Blog

The Double-Edged Sword: How AI Is Reshaping Provider Data Accuracy

AI is the best tool we've ever had for keeping provider records accurate, and the fastest way to spread the errors already hiding in them. Here's how both edges cut, and what it takes to keep your provider data accurate.
Sury Agarwal
Sury Agarwal
The Double-Edged Sword: How AI Is Reshaping Provider Data Accuracy
Blog

Accurate Provider Data, Now Native to AI Agents: Introducing Candor Health's MCP

Today we're launching the Candor Health MCP (Model Context Protocol) so that agents can reach the same continuously verified provider data our customers already trust without scraping a directory or hallucinating a phone number.
Lucky Tavag
Lucky Tavag
Accurate Provider Data, Now Native to AI Agents: Introducing Candor Health's MCP
Blog

Provider Data Inaccuracies Solved: Introducing the Candor Health Accuracy Scorecard

Candor Health’s new Accuracy Scorecard measures provider data accuracy, benchmarks it against CMS, and delivers a tiered action plan to fix it — so leadership can measure, manage, and monitor with confidence.
Provider Data Inaccuracies Solved: Introducing the Candor Health Accuracy Scorecard
Blog

Your Highest ROI Before AI? Fixing Your Provider Data

AI Is only as good as the data beneath It. Automation cannot resolve this fundamental problem; it can only accelerate the propagation of existing inaccuracies. Before the next modernization project goes live, fix the data everything depends on.
Sury Agarwal
Sury Agarwal
Your Highest ROI Before AI? Fixing Your Provider Data
Blog

5 Reasons Your Provider Directory Is Wrong

Your provider directory was wrong before anyone noticed. And by the time someone did notice — a member denied care, a claim rejected, a regulator asking questions — the damage was already done. Here are five root causes that explain why your provider directory keeps breaking.
Sury Agarwal
Sury Agarwal
5 Reasons Your Provider Directory Is Wrong
Blog

Why Provider Data Keeps Breaking — And Why Patching the Symptoms Doesn't Work

Provider directories don't fail because of bad luck or sloppy work. They fail because they're built on fragmented sources, self-reported data, infrequent refresh cycles, and no validation layer. Here's what it actually takes to fix the architecture, not just the symptoms.
Sury Agarwal
Sury Agarwal
Why Provider Data Keeps Breaking — And Why Patching the Symptoms Doesn't Work
Blog

CMS Is Publishing Your Provider Directory: Publicly, Daily, and by Name

A new CMS rule is making Medicare Advantage provider directory accuracy public, measurable, and a C-suite responsibility. Here's what plans need to know before the September 2026 deadline.
Sury Agarwal
Sury Agarwal
CMS Is Publishing Your Provider Directory: Publicly, Daily, and by Name
Blog

The Overlooked Bottleneck of Provider Data Accuracy

Most provider data accuracy initiatives focus on validation. But for many health plans, the real operational bottleneck begins much earlier — before validation workflows ever start. By the time inaccurate provider data surfaces in provider directories, referral systems, or claims workflows, inconsistencies may already exist across multiple downstream systems. Duplicate provider records, missing NPIs, outdated affiliations, and taxonomy mismatches often originate during provider roster ingestion itself. As provider networks become more fragmented and provider data volumes continue to grow, health plans are increasingly realizing that provider data quality is not just a validation challenge. It is an ingestion challenge.
Lucky Tavag
Lucky Tavag
The Overlooked Bottleneck of Provider Data Accuracy
Blog

Provider Data Accuracy Without Compromising Network Adequacy

Provider data accuracy and network adequacy are deeply connected, yet often at odds. In this Modern Healthcare article, learn how improving accuracy reveals access gaps and how health plans can stay compliant while protecting member access.
Sury Agarwal
Sury Agarwal
Provider Data Accuracy Without Compromising Network Adequacy
Blog

Four Takeaways for Smarter Provider Data Systems

Provider data accuracy has moved from operational nuisance to regulatory and reputational priority. In a recent Fierce Healthcare webinar, Candor Health, CertifyOS, and Oscar Health examined what it actually takes to build provider data infrastructure that holds up under current compliance demands and member expectations. One theme ran through the entire conversation: accuracy and infrastructure have to evolve together.
Sury Agarwal
Sury Agarwal
Four Takeaways for Smarter Provider Data Systems
Blog

Understanding the REAL Health Providers Act and No Surprises Act

For health plans, provider directory accuracy has long been an operational problem. Federal legislation is now turning it into a compliance obligation with financial penalties attached. The No Surprises Act (NSA), which took effect in 2022, and the proposed REAL Health Providers Act, expected to take effect in 2026, establish a new accountability framework for how provider data is collected, verified, and maintained. Together, the laws signal a broader regulatory shift: provider directory accuracy is moving from administrative burden to enforceable compliance requirement.
Sury Agarwal
Sury Agarwal
Understanding the REAL Health Providers Act and No Surprises Act
Blog

Making Healthcare Search More Reliable

Provider search is broken in ways that are easy to overlook until they affect patient outcomes. Today, most patients begin their healthcare journey online, yet many still struggle to confidently identify the right provider, verify insurance coverage, or determine whether appointment availability is actually current. When directories contain outdated network participation, incomplete specialty information, or inaccurate availability, even well-designed search experiences begin to break down.
Julianne Zech
Julianne Zech
Making Healthcare Search More Reliable
Blog

Building Inclusive Healthcare for LGBTQ Communities

For many LGBTQ individuals, finding healthcare is not simply about locating the nearest provider. It often involves determining whether care will feel safe, respectful, and affirming before an appointment is ever scheduled. Yet most provider search experiences offer very little visibility into that reality. Discriminatory laws, culturally incompetent providers, and gaps in provider directory data continue to create significant barriers to equitable healthcare access for LGBTQ communities. The result is not only delayed care, but measurable downstream health consequences. Research consistently shows that LGBTQ individuals are more likely than their peers to delay medical care due to fears of discrimination — a pattern directly linked to worsening health outcomes and reduced continuity of care.
Julianne Zech
Julianne Zech
Building Inclusive Healthcare for LGBTQ Communities
Blog

Improving Healthcare Interoperability with Accurate Provider Data

Real-World Solutions for Records Requests and Patient Referrals
Rob Nolan
Rob Nolan
Improving Healthcare Interoperability with Accurate Provider Data
Blog

Navigating Provider Data Challenges in Mental Health

Mental health provider directories have become a growing point of failure across behavioral health networks. Patients seeking care are often met with disconnected phone numbers, inaccurate insurance information, or providers who are no longer accepting new patients. A New York State Attorney General report found that 86% of listed in-network mental health providers were unavailable or inaccurately listed.
Julianne Zech
Julianne Zech
Navigating Provider Data Challenges in Mental Health
Blog

The Limits of Specialty Alone: Why Provider Search Needs Clinical Expertise

Provider specialty classifications were never designed to explain how providers actually practice. A common challenge faced in the healthcare industry is being able to search and find the doctors and facilities that specialize in treating a certain condition.
Julianne Zech
Julianne Zech
The Limits of Specialty Alone: Why Provider Search Needs Clinical Expertise
Blog

How Aligned Marketplace Built a More Reliable Provider Network

Finding a doctor who is actually in-network, accepting new patients, and available for an appointment is more difficult than it should be. For healthcare organizations building provider networks, that challenge often comes down to one issue: inaccurate provider data. Aligned Marketplace encountered that problem firsthand while building a national advanced primary care network and found that maintaining reliable provider availability required a more active approach to network monitoring.
Sury Agarwal
Sury Agarwal
How Aligned Marketplace Built a More Reliable Provider Network
Case Studies

How Sidecar Health Scaled Their Members' Ability to Shop for Care Nationwide

Sidecar Health removed 140,000 inactive provider records, reached 96.4% phone number accuracy and let members see guaranteed costs for 85% of care across all 50 states with Candor Health's verified provider data.
Sidecar Health
Case Studies

How Sana Benefits Scaled Care Navigation with AI-Native Provider Intelligence

Sana Benefits cut referral processing time by 50% and grew care navigation volume by more than 50% with no added headcount, after replacing fragmented provider data with Candor Health's AI-native provider intelligence.
Sana Benefits

1-Pagers

Infographics

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