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As Spotify and Amazon can attest, digital technology plus personalization is a winning formula. Consumers want anytime-anywhere access to the services and products they enjoy, without having to sift through irrelevant information. They want tailored recommendations that will make their life easier. More than eight in ten consumers say they’re more likely to choose businesses that treat them like a person instead of just a number. The pay-off for business—and health plans—is huge: by paving the way for better services, better relationships and a better consumer experience, personalization boosts profits, too. There’s one challenge: delivering personalization requires data. Health plans that want to offer a member-centric experience need the right insights to build a complete picture of what individual members need and want. Yet many health plans are forced to work from stale or incomplete data, notably when CMS hands over a new list of members or a new employer signs on to the plan. A system like that makes it nearly impossible to provide meaningful personalization, and consequently, the member experience suffers. With originally sourced data and consumer insights, health plans can fill in the missing links in member profiles and maximize opportunities to improve the consumer experience. Here, we look at how three specific data-driven strategies could help your health plan attract and retain satisfied members and demonstrate digital excellence by using personalization to drive improvements in communications and care. Personalize member communications for maximum engagement By looking beyond simple demographic data and clinical information, health plans can discover what really matters to members. Consumer data provides detailed insights about the kind of content that will resonate most with the member’s lifestyle, interests and health circumstances. Health plans can tailor their marketing messages accordingly, by highlighting articles about the treatment of relevant medical conditions or sending reminders ahead of annual check-ups.Health plans can also discover when and how to communicate with members so they’re most likely to respond. When member profiles reveal who prefers an email or a text and when, health plans can elicit higher levels of engagement, improve the consumer experience and see better results from targeted outreach campaigns. Make improvement decisions based on the most relevant data Consumer insights can also be used to develop improvement plans that zero in on exactly what members need for the best possible health outcomes. Combining insights on patient behavior patterns with an understanding of the challenges facing individual members means health plans can segment members, so the right support goes to the right place.For example, efforts to drive up medication adherence are going to be far more successful if based off accurate and current member profiles. Specific members can be sent automated, personalized reminders to fill out prescriptions in good time before they run out. Compare that to a “spray and pray” awareness campaign using generic messages that are likely to be ignored. Data-led improvement strategies are operationally efficient and create a better experience for members. Help members overcome social barriers to health Finally, when member profiles include a snapshot of how social and economic factors influence their ability to access healthcare, health plans can take action to offer support. Closing the gaps in care that arise when a patient fails to turn up to their appointment or ends up being readmitted to hospital, can often involve quite simple solutions. If data suggests the member has small children, but there’s no other adult in the household, it makes sense to cross-promote childcare services. Similarly, if the member isn’t known to own a car, a health plan could offer information on free transportation.Understanding these social determinants of health can help health plans offer proactive support so members enjoy better health outcomes in the long run. Experian Health’s rich datasets give health plans access to member-level insights on more than 330 million consumers, with data analysis and automation tools to help make business decisions based on the most relevant, current data. Contact us to find out how we can help provide the personalized experience members are looking for.

    Many thought the end of COVID-19 was in sight with the availability of a vaccine, and while that is somewhat true, an entirely new set of issues has arrived: how to properly administer and manage the vaccine. Now that a COVID-19 vaccine is approved and underway, providers need to execute a medical billing and coding strategy to sustain vaccination efforts. We interviewed J. Scott Milne, senior director of product management at Experian Health, about what’s changed and what providers can do to prepare. How can providers ensure that vaccine administration codes are billed correctly? The ICD-10 and CPT codes for the COVID-19 vaccine haven’t existed until now, which means providers have a new set of codes to learn and unfortunately, those codes seem to change or update almost daily. As more vaccines are introduced, more codes are also introduced, and not just for the vaccine as a whole, but for each specific dose of the vaccine. For example, dose one of the Pfizer vaccine will have a code that differs entirely from dose two of the Moderna vaccine. Keeping up with these changes isn’t only difficult for provider staff, who are likely already stretched thin, but they certainly don’t want to run the risk of submitting a claim with incorrect information. The errors are what result in denials or undercharges. A solution like Claim Scrubber ensures code sets are current on a daily basis – a necessity for times like these – but applies an extensive set of general and payer-specific edits before preparing the claim for processing. That means claims for vaccine administration are error-free before submission to the payer or clearinghouse. Providers can eliminate undercharges, boost first-time pass through rates and do away with costly, time-consuming rework. But proper coding is only the first piece of the billing puzzle. The second piece is to verify the accuracy of payment received from third-party payers. How can providers ensure that third party payers will reimburse at the contracted rates? Providers can certainly get reimbursed for administering the vaccine, but there are a lot of moving parts to keep up with. For example, both Medicaid and Medicare will reimburse providers for administering COVID-19 vaccines, but the percentage of what is covered will differ by carrier and the reimbursement rates can vary both by state and type of arrangement. Reimbursement rates will also vary amongst private payers. Then there is the variation in reimbursement based on vaccine type and dosage — vaccines that require a single dose may be reimbursed at a rate different than those that require two doses. Even without the vaccine rollout underway it can be a headache for hospitals and health systems to manage multiple payer contracts and reimbursement methodologies. A solution like Contract Manager will pinpoint variance in reimbursement quickly and easily, accurately pricing claims and comparing actual allowed amounts to expected amounts. It is a tool built to adapt to changes within the industry, so providers can capitalize on emerging reimbursement schemes and changes in payer payment policies. It can also help identify sources and patterns of errors so recurring issues can be promptly resolved. The end result: the provider organization can the payer revenue that is due for vaccine administration. Interested in learning more about how providers can optimize vaccine-related reimbursements?   Other blog posts in this series: Segmenting your patient population for the COVID-19 vaccine Engaging patient segments with convenient, secure scheduling solutions Authenticating portal access with automation Optimizing reimbursements by capturing missing coverage

You may also like: Supercharge your COVID-19 vaccine management plan with digital solutions “Experian Health’s ability to move quickly and adapt their self-service platform to schedule vaccines for patients has been an invaluable improvement not only for our operations, but to the patient experience. The power to schedule the vaccine’s second dose after the first is administered helps us deliver on our commitment to providing reliable, quality care.” – Julie Frahm, director of consumer digital products at Sharp HealthCare The unpredictable nature of patient volume is a large part of what makes scheduling for the COVID-19 vaccine so difficult. Before now, providers haven’t had to manage mass appointment slots and registrations tied specifically to vaccinations. And even with those features streamlined, providers are still unsure of the best way to reach out to patients who are eligible for the vaccine to prompt them to schedule their appointment. Already a user of Experian Health’s Patient Schedule solution, Sharp HealthCare turned to online self-scheduling to improve patient access to the COVID-19 vaccine. With the solution in place, patients of Sharp HealthCare who are eligible for the vaccine can schedule their first dose online via computer or mobile phone. After answering a short set of questions, the scheduling solution will guide patients to a calendar of available day and time slots for receiving the first vaccination. After the first shot is administered, Sharp HealthCare staff can schedule patients for their second dose onsite, prior to leaving the office. Patients of Sharp HealthCare are consistently utilizing online self-scheduling to book appointments for their vaccinations. More than 1,000 vaccinations were scheduled in the first three weeks of online self-scheduling being available to patients. The ability for provider staff to help book the second dose of the vaccine for patients has also helped Sharp HealthCare deliver on their commitment to quality care, further ensuring the efficacy of the vaccine for each and every patient. Patients are also enjoying the expanded use of a self-service digital service, especially for a process that has been widely known to, at least thus far, be a detriment to the patient experience. Discover how Patient Schedule can improve vaccine management.

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.

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

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