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At the end of 2019, Experian Health announced that every person in the U.S. population, an estimated 328 million Americans, had successfully been assigned a unique Universal Patient Identifier, powered by Experian Health Universal Identity Manager (UIM) and NCPDP Standards™ (the “UPI”). Universal Patient Identifiers (UPIs), created with a comprehensive view of patients from health, credit header, and consumer data sources, are thought to significantly reduce the challenges that stem from the misidentification of patients which span patient safety, financial, and operational inefficiencies. But what does 100% coverage mean? And what does this mean for the future of healthcare? To take a deeper dive, we sat down with Victoria Dames, an Experian Health leader in the identity management space to learn more. 1. It doesn’t get more perfect than 100%, so tell us more. What exactly does 100% coverage mean? Experian Health developed an algorithmic engine known as our Universal Identity Manager about five years ago. Since this time, we’ve worked closely with many providers, pharmacies and payers to help address their duplicate records. We’ve been monitoring our adoption and enumeration by unique patient identifiers against 328M individuals in the US population (2010 Census) and achieved this milestone at the end of 2019. Through our broad network of provider clients, which include hospitals, pharmacies, payers, and healthcare technology companies, patients who have received care from participating entities over the past few years have been enumerated.  As new patients enter the healthcare ecosystem, this number will continue to grow.  2. Why are universal patient identifiers (UPIs) needed and how do they benefit providers and patients? The Universal Patient Identifier (UPI) helps providers link the right records together, preventing duplicate records from being created. For example, think of all the ways duplicate accounts or variances can occur: address differences, name variations (Katherine, Kathryn, Kathy, Kat), maiden names and potential user entry error. With the UPIs, providers can link records together and have one complete record and view of the patient, ultimately leading to a better patient experience. It’s important to note that the UPI is not something the patient knows or sees, but rather part of the technology. It can be embedded within a hospital’s information system, for example. It simply links a patient’s records together, so a provider has a complete view of the patient’s identity. The flow of communication happens when participating healthcare organizations send Experian Health patient demographic information; the system provides the organization in return with the insights and identifiers that they need to better manage patient identities and prevent duplicate records. The UPI can be attached – if the situational requirement is met – to active claims in real-time transactions effectively improving the integrity of patient records. During this process Experian Health does not rely on or use any clinical information about the patient; Experian Health only leverages the minimum data elements needed to successfully match an identity.  3. How did you get numbers assigned to all Americans? When a healthcare organization enlists our help, we process all their historical records through the UIM, returning a Universal Patient Identifier (UPI). The initial run of this data helps resolve existing duplicates which can date back several years. Working with multiple providers and pharmacies, we were able to get numbers assigned to all Americans. The number will continue to evolve of course, as the population changes with births and deaths. 4. Are there privacy risks with this? Experian Health is a HIPAA-compliant Business Associate when it receives PHI from customers.  It takes its privacy obligations very seriously.  As to UIM, privacy risks are minimized by the fact that the UIM does not leverage any medical records, prescription histories, or provider systems. The purpose of the solution is to assist healthcare professionals to better match an individual’s identity through data assets that would normally be unavailable to a healthcare provider.  5. Does a UPI function similar to a credit report, meaning it provides a singular view of a patient’s medical history? It depends on the situation.  If a provider has a patient in their EHR twice under two spellings of the patient’s name in error, then yes, the UPI would link those two profiles, creating a singular view of the patient in that provider’s system. Additionally, the UPI generated by Experian Health is designed to help facilitate interoperability between healthcare providers.  For example, if your pharmacy has you listed under your maiden name of Smith and your doctor has your married name of Wilson, during the ePrescribing process, your ePrescription might not get associated with your prescription profile. If both providers have the UPI on record and submit it during the transaction, the systems will match the patient using the UPI. It’s important to note that the UPI is technology for entities and is not patient facing. 6. What is the direct benefit to consumers; will it help them control their medical data? Consumers will benefit depending on how a provider implements and utilizes the UPI. For instance, if a provider has two medical records, and they merge this into one record, the patient will see one consolidated record. Imagine two patient profiles for the same individual at a pharmacy.  One prescription is filled under each profile and the two separate prescriptions, if taken together, could lead to a severe reaction. If filled under two different profiles, the automated process to screen for drug interactions would not identify this harmful reaction. But the UPI directly solves for this issue. 7. What are the next steps and goals for Experian Health as it pertains to UIM? Our goal is to continue to partner with healthcare organizations to help prevent and resolve their duplicate records. We are continuing to invest in our technology and capabilities within identity, as we care deeply about patient safety and data integrity. Having a single, unified and accurate view of the patient is a challenge that plagues the healthcare system, and now we have a comprehensive solution that reduces the barriers to make healthcare safer.

The stats are alarming: Up to 80% of health outcomes are not due to medical factors, but to a patient’s social and economic circumstances—such as their income, housing situation and even whether they own a car.68% of Americans are affected by at least one social determinant of health (SDOH).Approximately 24% of hospitals and 16% of physician practices screen for food insecurity, housing instability, utility needs, transportation needs, and interpersonal violence—which means the majority don’t screen for all relevant social needs. The healthcare industry has been talking about the importance of addressing social determinants of health for years, but many struggle with how to collect the insights. For example, if 68% of Americans are affected by at least one SDOH, how do they even discover the one? What is the ideal way for providers to screen for SDOH? Should they simply ask the patient? Do they start a visit with a survey, probing for details that could ultimately impact care management decisions? Providers know these sensitive topics – housing instability, financial instability, food insecurity and onward – can be tough and uncomfortable conversations. So, where to begin? Should you rely on patient surveys to capture SDOH? Patient surveys can be a useful way to find out about many potential barriers to care. However, they bring limitations: Your insights will be limited to the patients who show up—so anyone who has struggled to attend an appointment (and therefore potentially with higher needs) will be left out It can be time-consuming and expensive to give staff the time and space to conduct personal interviewsThey rely on patients to be willing to share openly, but some may not feel comfortable doing soThere is room for error in how questions and answers are interpreted by both the survey team and respondentsSocial circumstances can change over time, so it’s possible that the information gleaned in the survey may not be relevant a few months down the line. Knowing SDOH can have such a huge impact on a patient’s health certainly means clinicians should discuss these topics in the exam room, but relying solely on patient surveys and conversations could lead to gaps in intel. When should you screen for SDOH? Screening for social needs when a patient first registers or engages with your services is a good starting point. But what happens when their situation changes between diagnosis and treatment? What if they disclose a social need to a specialist that wasn’t flagged on their initial intake form? Does your staff know how to discuss sensitive social issues? Can they create a safe space for patients to share? Have you got clear referral pathways when an issue is flagged? Look for possible touchpoints in the patient’s journey where referrals to support services would be appropriate. Looping in the relevant primary care services is a good way to make sure your patients are connected to community-based programs and supported throughout their journey, whenever a new or changed social need is identified. What types of data could offer the SDOH insights a provider needs? Geographical and community-level data can help a healthcare organization understand their patient population’s income, housing situation and employment status. These are useful for population-level care planning but aren’t patient-specific. A better way is to analyze securely collected consumer marketing data for more specific and accurate information. Working with a trusted data vendor that is a compiler of original-source consumer data can help you navigate your options. The real predictive power of SDOH data comes when you combine patient-specific information obtained through screening, with consumer databases. A third-party vendor can help you access data on your patient population’s income, occupations, length of residence and other social and economic circumstances. Your care managers can use this to inform proactive, preventative conversations with patients to solve any non-clinical gaps in care. Bottom line … When healthcare organizations have a holistic view of patients—and the SDOH that play a role in their lives—they can take steps to help prevent avoidable hospital visits, emergency department (ED) utilization, appointment no-shows and worsened conditions by encouraging and facilitating earlier interventions. The key is to start with the right data.

Did you know a whopping 90% of missed revenue opportunities can be linked to denied claims? At a time when providers are working to make up this lost revenue, they are also dealing with patients who are expected to cover more of their medical bills through out-of-pocket expenses. High-deductible health plans, free-care programs and crowdfunding are more prominent, leaving hospitals vulnerable to the patient’s ability to pay. Add in the rise of value-based care, and it’s no secret patients expect an experience that matches their interactions with other consumer services. They’re more engaged in their health and know they have options. Patient collections are down, but expectations are up. Loyalty wavers somewhere in the middle. How should providers respond? Legacy revenue systems aren’t set up for financial models based on value over volume, so providers need to adapt. It’s vital to find ways to help patients navigate the financial side of healthcare and make patient collection processes as efficient as possible. What does value-based care mean for your revenue cycle? Shifting to value-based reimbursements, patient-centric incentives and quality of care programs means your clinical and revenue cycle workflows need to be better connected. Patients must receive consistent and accurate communications throughout their healthcare journey, setting them up for the best possible health outcome and payment options. When the care and finance functions work together, your patient records can be kept up to date and the next admin task will be triggered at the right time. Here are some things your revenue cycle management (RCM) process might be missing: clear and convenient processes for patientsaccurate patient identification from registration to billingability to collaborate with payers to customize workflowsstreamlined workflows to reduce time and resources spent on avoidable tasksautomated processes to support effective collections and spot root causes of denialsreal-time reporting to help improve performance over time [Source: Frost and Sullivan] Data, analytics and automation can help you create more agile processes to minimize revenue leakage and create a better financial experience for patients. 3 ways to close the gaps in a value-based RCM model 1. Use consumer data to help patients make informed decisions A major cause of denied claims stems from patients being unsure about what their treatment will cost. Others are unclear about whether they have appropriate coverage. Help your patients weigh their financial options by providing accurate estimates and working with them to check coverage. Consumer data can support this process by giving you insights into your patient’s social identity, medical history, coverage status, insurance eligibility and propensity to pay. With an intuitive billing process, you’ll improve the patient payment experience and reduce revenue leakage. 2. Use analytics to predict gaps in your revenue cycle Many top-performing health systems use advanced data analytics to predict where the bottlenecks, errors and denials might creep in, so they can take swift action to address them and keep their patients and C-suite happy. For example, with analytics, you can get to know your patients better so you can segment them according to their financial responsibility and ability to pay. Not only does this mean you can focus your collections efforts more effectively, but you’ll have the right insights to help patients navigate the payment process with personalized nudges and relevant messaging. In addition, analytics have a huge role to play in eliminating avoidable denials resulting from unreliable or inaccurate patient data. You’ll be able to spot patterns in denials, so you can implement checks and processes to avoid them in future. 3. Put the right tools in place to close the gaps Close the widening gap between claims and collections starts by ensuring your patients are aware of their financial responsibility. A self-service patient portal could give your patients convenient access to their information in a time and place that suits them. They’ll be able to schedule appointments, enroll in payment plans, and apply for charity. They’ll see real-time, transparent and accurate information about price estimates and their eligibility and coverage. When the financial experience is transparent and frictionless, patients are more likely to feel satisfied and less likely to shop around for care – not to mention being better prepared to meet payment deadlines. And internally, data-driven automated software can help you monitor and manage every step of your revenue cycle. You can make life easier for clinicians and management teams with EHR-integrated dashboards, web-based financial reporting and timely alerts for the relevant teams. Schneck Medical Center used Experian Health’s Denials Workflow Manager to automate tedious manual processes, freeing up staff time and optimizing claims follow-up and collection: “No longer are we waiting 30 to 45 days to review denials. We can review them on the day of [submitting] if we choose to.” (McKenzie Smith, Director of Patient Financial Services)  It’s simply no longer viable to use RCM processes that aren’t integrated across your entire digital ecosystem. Providers that can offer a convenient and personalized consumer experience, automate collections workflows and join the dots between clinical care and revenue management will have the competitive advantage in the era of value-based care. Learn more about how your organization can use data to predict and close gaps in your revenue cycle.