Top 5 benefits of healthcare interoperability

by Experian Health 4 min read October 29, 2019

When a doctor pulls up a patient’s record, it should be a safe assumption that the information on the screen relates to the patient sitting in front of them. It should contain every detail of the patient’s medical history, along with their current address and accurate personal information. It certainly shouldn’t contain anyone else’s data! Yet all too often, patient records are plagued with inaccuracies.

Around 30% of patient data in electronic health records is incomplete or inaccurate, and up to half of records are not linked to the correct patient. The ONC estimates that around a fifth of patients may not be matched to their entire medical record within an organization, while more than a half of records shared between organizations contain errors.

Despite all of modern medicine’s ground-breaking achievements and our increasingly digitized world, the ability to share information between different payers and providers in a reliable and secure way remains frustratingly out of reach.

Could a universal patient identifier unlock interoperability?

Imagine a healthcare ecosystem where administrators and clinicians can safely exchange information without worrying about whether it’s inaccurate, incomplete, or incompatible with each other’s systems. Interoperability could make life easier for healthcare staff and patients alike.

While regulations such as the Affordable Care Act introduced many carrots and sticks to drive up adoption of electronic medical records to support interoperability, they also revealed a critical gap in healthcare: the need for a universal patient identifier (UPI). This is an identifier that would help manage patient identification across the whole healthcare ecosystem.

A UPI would allow providers and payers to follow patients throughout all their major medical and life events and be sure that the information they hold for their member or patient is 100% accurate, current and complete.

Instead, the absence of a UPI, compounded by the sheer volume and fluidity of patient data, has created significant issues downstream. Billing errors, unnecessary treatment and testing, HIPAA breaches, prescriptions filled for the wrong patients and many other issues all play a role in the growing number of preventable medical errors (estimated to be the third leading cause of death in the US). Striving for truly interoperable patient information should be a priority across the entire healthcare industry.

Still, while federal funding for a UPI is currently being considered by Congress, we’re seeing more and more industry-led responses to help improve patient identity management.

5 benefits of using a universal patient identifier for interoperability

  1. Improve patient safety

How can physicians be sure they’re recommending the right treatment for a patient, when there could be a vital piece of information missing from their medical history or allergy list? How can a pharmacist feel confident handing over a prescription, when there’s a chance the patient in front of them isn’t the same patient named on the script? A UPI can help avoid ‘wrong patient’ events and allow providers to share information to spot trends in recurring errors so that action can be taken to prevent them in future.

  1. Lower healthcare costs

The West Health Institute found that that medical device interoperability could save the U.S. healthcare system more than $30 billion per year. For individual providers, UPIs could improve productivity by reducing the amount of time clinicians and hospital staff spend trying to sort out inaccurate records. And with nearly a third of claims denied as a result of patient misidentification, this could mean savings in the region of $17.4 million for the average hospital.

  1. A better patient experience

Patients are right to be frustrated when their physician doesn’t have up-to-date records about them, or their provider sends appointment reminders to an old address. Expecting patients to fill out multiple forms (often multiple times) is inefficient and hardly contributes to a positive patient experience. A tool such as Universal Identity Manager can help providers exchange timely data, eliminate duplicate records and coordinate care, so the patient is supported throughout their healthcare journey.

  1. Stronger privacy

Electronic records linked with a UPI allow healthcare organizations to phase out manual processes—which is not only more efficient, but also helps minimize the risk of patient data falling into the wrong hands. It’s much easier to keep the data secure when it’s contained in a single record, compared to multiple versions of a record filled with scribbled notes and random updates that could easily end up attached to the wrong record. Experian Health’s Precise ID gives healthcare organizations a HIPAA-compliant way to authenticate patients and reduce the risk of a data breach during enrollment.

  1. Better data to tackle the social determinants of health

As consumer data opens up new opportunities to improve population health, a network of shared data will be essential for identifying trends in the social and economic factors that affect medical outcomes. Interoperable data sets and technologies can enhance the way public health data is collected and used, for better patient outcomes and population health.

Interoperability currently remains a challenge, but the tools exist to improve the way information is shared and used across the healthcare ecosystem. By integrating clinical data into the patient access workflow, you can increase productivity, reduce costs, and ultimately improve the patient experience.

Contact our team to find out how this could help your organization achieve more efficient, accurate and actionable data sharing.

 

Related Posts

Andy’s New WP Workflow Test Article Using Quick Edit

Key takeaways: Revenue cycle teams can use automation to reduce repetitive work and apply AI where data-driven prediction, matching or prioritization can improve a workflow. Experian Health’s 2025 State of Claims survey found that 41% of providers now face denial rates of 10% or higher, while 68% say submitting clean claims is more challenging than a year ago. Patient Access Curator™ (PAC) uses AI to support front-end data validation and insurance discovery, while AI Advantage™ helps teams predict denial risk and prioritize denial follow-up. Artificial intelligence (AI) and automation can support administrative work in healthcare. In the revenue cycle, teams depend on accurate information, timely decisions and efficient follow-up to keep claims moving. In revenue cycle management, AI and automation can help organizations reduce manual checks, find data gaps, predict denial risk and prioritize work queues. These tools are most useful when they support staff judgment, payer expertise and compliance oversight. They can handle repetitive, data-heavy tasks so staff can focus on exceptions and decisions that need human review. In 2023, McKinsey & Company reported that research suggests effectively deploying automation and analytics could eliminate $200 billion to $360 billion of spending in U.S. healthcare. For revenue cycle leaders, the practical question is where to apply those capabilities first. The case for applying AI and automation in healthcare Revenue cycle teams juggle many daily tasks. Staff collect and verify patient information, confirm eligibility, identify the right payer, submit clean claims, monitor status, work denials and manage collections. Small data gaps at the beginning of the process can create downstream rework and delays. Rework also consumes staff time, adding to these operational pressures. As costs rise and revenue cycles tighten, there is increasing pressure to do more with less. Experian Health’s 2025 State of Claims survey found that 54% of providers say claim errors are increasing and 90% of claim denials are reworked with at least some human review before resubmission. Providers are also managing broader financial and administrative pressures. The American Hospital Association has reported that prior authorization requirements, claim audits, denials and other payer policies add administrative burden and cost for hospitals and health systems. These requirements also consume staff time to appeal denials and manage payer processes. AI and automation are different but complementary. Automation follows defined rules to complete repeatable work. AI models can identify patterns in data, predict risk and help teams decide where to focus attention. When used together, they can support more consistent revenue cycle workflows. How AI and automation can support revenue cycle workflows Revenue cycle management automation and AI are most useful when tied to a specific workflow and a measurable operational problem. The goal is to help teams act earlier, reduce avoidable rework and focus staff time where judgment is needed most. For example, automation can complete rule-based eligibility checks. AI can help identify claims with a higher likelihood of denial. In insurance discovery workflows, AI can also help identify coverage that wasn’t captured at registration. When these tools fit into existing workflows, they can support more consistent decisions and reduce manual work. Three practical applications include: 1. Improving front-end data quality with Patient Access Curator Patient and coverage information collected early in the revenue cycle can affect downstream claim outcomes. Incomplete or outdated demographic details, eligibility responses, coordination of benefits or Medicare Beneficiary Identifier information can create problems that lead to claim delays or denials later in the cycle. Experian Health’s Patient Access Curator helps prevent claim denials by validating demographics, eligibility, insurance discovery, coordination of benefits and Medicare Beneficiary Identifier data in seconds. PAC’s AI and machine learning capabilities help improve match accuracy, coverage sequencing and data confidence by writing the validated data back into the host system and sequencing payers before the claim is created. This automates work that would otherwise require manual coverage checks. 2. Using insurance discovery to find coverage not captured at registration When active coverage isn’t identified during registration, claims may be delayed or submitted with incomplete insurance information. Insurance discovery looks for coverage that may not have been captured during registration. Patient Access Curator includes insurance discovery as part of its front-end validation workflow. It can help identify and correct missing or incorrect insurance information so claims can be submitted with more complete coverage data. 3. Using AI to prevent and prioritize denials Even with strong front-end processes, some claims still require additional attention. AI can help claims teams decide which claims to review before submission and which denials to work first after payer response. Experian Health’s AI Advantage supports two denial management use cases:1. AI Advantage – Predictive Denials uses a client’s historical claims data and Experian’s knowledge of payer rules to identify claims with a high likelihood of denial before submission so teams can take corrective action.2. AI Advantage – Denial Triage uses AI to segment denials and identify those with the highest potential for reimbursement. This approach can help teams prioritize with more confidence. Rather than treating every claim or denial the same way, teams can use predictive models to focus on the work that needs the most attention. Potential benefits of AI and automation in the revenue cycle A high-performing revenue cycle depends on timely, accurate and consistent work. AI and automation can help providers modernize that work without losing the expertise of the people who manage complex payer and patient situations every day. When applied to the right workflows, these tools can help organizations: Reduce manual data searches that take staff away from higher-value work Improve front-end data quality before claims are created Identify missing or incorrect coverage information earlier Spot claims that may be at higher risk of denial Prioritize denied claims by potential reimbursement Reduce rework caused by inaccurate or incomplete information Give staff more consistent information for follow-up decisions A focused AI strategy starts with the workflow problem, uses data that is relevant to that problem and keeps staff in control of judgment-based decisions. A more proactive approach to revenue cycle management Revenue cycle teams can move from reactive work toward a more proactive approach: catch errors earlier, validate coverage before claims are created and prioritize the claims and denials that need the most attention. Experian Health offers revenue cycle solutions that use AI and automation in targeted ways to support front-end data quality, reduce rework and manage denials. Patient Access Curator supports registration and coverage validation, while AI Advantage supports denial prediction and triage. Learn more about Experian Health’s Patient Access Curator and AI Advantage.

October 2, 2026 by Andy.Monte@experian.com
Experian Health ranked #1 in Best in KLAS for 2025

Experian Health is very pleased to announce that we've ranked #1 in the 2025 Best in KLAS: Software & Services report, for our Contract Manager and Contract Analysis product, for the third consecutive year. Contract Manager, when paired with Contract Analysis, empowers healthcare providers by ensuring payers comply with contract terms, identifying and recovering underpayments, and arming them with real claims data to negotiate contracts. This enables providers to negotiate more favorable terms and maintain financial stability.  Clarissa Riggins, Chief Product Officer at Experian Health, says, “In the ever-evolving healthcare landscape, our Contract Manager solution has once again been recognized as the #1 Revenue Cycle Management tool by KLAS for the third consecutive year. This prestigious ranking underscores the significant value our solution delivers to our clients by identifying underpayments and facilitating revenue recovery. We are honored to continue supporting our clients with innovative solutions that drive financial success and operational efficiency.”  Learn more about how Contract Manager and Contract Analysis can help your healthcare organization validate reimbursement accuracy, recover underpayments and boost revenue.   Learn more Contact us

February 5, 2025 by kelly.nguyen
How to increase patient engagement

Learn how providers can increase patient engagement, why it matters and key strategies that deliver improved end-to-end patient experiences.

January 30, 2025 by Experian Health

Spotlight test

Spotlight Description

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Sticky Subscribe Title

Sticky Subscribe Description
Sticky Subscribe

Testing Spotlight Paragraph block

Testing the spotlight block header

Archive Testing

Categories