Tag: Universal Identity Manager

When it comes to medical coding and billing, accuracy is everything. Even the smallest error can result in a claim being bounced back by the payer, causing delays and missed revenue opportunities. Coding requirements change frequently, and with denials totaling billions of dollars per year, providers can’t afford to risk under- or over-coding or relying on outdated codes. Automation and software-driven solutions can uncomplicate the complex world of medical coding. Getting claims right the first time accelerates the adjudication process, leading to faster and higher reimbursements. Providers can make more reliable financial forecasts, avoid losing time reworking rejected claims, and give patients greater clarity about what they’ll owe. For this reason, providers should brush up on medical coding and billing best practices to improve claims management and maximize reimbursements. Here are 7 areas to focus on: 1. Stay up-to-date with coding changes Medical codes convert information about the patient’s healthcare encounter into an electronic format that payers use to adjudicate claims for reimbursement. If a claim includes outdated, incorrect or missing codes, then it will be denied. The most common medical coding systems include: International Classification of Disease 10th edition (ICD-10) codes: these codes denote the patient’s diagnosis or condition. The 11th version was published in January 2022, and while the implementation timeline in the US remains unclear, providers will need to be ready to adapt. Current Procedural Terminology (CPT) codes: Where ICD codes describe the patient’s symptoms, CPT codes record their treatment. If there’s a discrepancy between diagnosis and treatment, the claim is likely to be denied. Healthcare Common Procedure Coding System (HCPCS) codes: the Centers for Medicare and Medicaid Services (CMS) use these to apply CPT codes to procedures, services, products and equipment offered to Medicaid and Medicare patients and those covered by private insurance. These codes are constantly being revised and are often recycled, so coders must pay close attention to avoid errors. National Drug Code (NDC): claims need to include NDC codes when the patient is taking prescribed or over-the-counter medications. The NDC directory is updated daily. Diagnosis-Related Group (DRG) codes: these combine ICD and CPT codes to determine the final amount that a hospital can be reimbursed. CMS assigns annually calculated weightings to DRGs based on severity and length of illness, treatment trends and other factors. There are also multiple coding directories for different specialties, such as dental care, mental health and patients with disabilities. With hundreds of thousands of constantly-changing codable terms to consider, medical coders face a daunting task. In the past, coders would rely on manual coding directories to find the right codes, but today, most use digital encoders and digital coding libraries to generate electronic codes. For example, Experian Health’s claims management software integrates government and payer edits so that no changes to coding requirements are missed. Each patient encounter can be processed in real time and incorrect codes can be flagged before the claim is submitted. 2. Automate the claims management process to increase medical billing and coding accuracy Manually matching each patient encounter to a specific set of codes is time-consuming and vulnerable to errors. Software programs improve the process by analyzing unstructured clinical charts and notes to draw out information relevant to the claim. They can cross-reference multiple coding directories in an instant to identify the correct code. They also compile data in standardized, interoperable formats so information can be exchanged between coding and billing teams, clearinghouse staff and payer systems with ease. While some of the output generated by machine learning systems still needs to be checked by human eyes, automated solutions drastically reduce the burden on staff and ensure greater accuracy. With automated claims management, medical coding and billing teams can optimize their workflows, submit cleaner claims, and get insights into the root causes of denials. Case study: see how Summit Medical Group Oregon – Bend Memorial Clinic used automated claims management technology to achieve a primary clean claims rate of 92%. 3. Eliminate workflow inefficiencies to save time According to the Council for Affordable Quality Healthcare (CAQH), automation could save more than an hour of staff time for every three claim status checks. Automation frees up staff to focus on the highest priority tasks that require a human touch. Fewer errors mean less time spent on reworking denied claims. And if claims are processed more quickly, this means that they reach the payer adjudication stage sooner which ultimately will result in faster payments. The medical coding and billing process takes anywhere from a week to a few months, so every hour saved makes a difference. To this end, Enhanced Claim Status monitors how claims are progressing through the claims adjudication process, reducing the amount of time staff need to spend interacting with payers. It eliminates manual follow-up and allows teams to address pending, returned, denied and zero-pay transactions before the Electronic Remittance Advice and Explanation of Benefits are processed. Worklists are generated based on actionable data so staff can work more productively, and claims get settled sooner. 4. Customize claims edits to your specifications One way to drive up medical coding accuracy is to use customized claims edits. Some claims management software solutions only apply updates using universal claim edits or using groups of edits. This doesn’t work for large medical groups that need to cover multiple combinations of payer, specialty and geographical edits. Since no two payer policies are the same, claims edits would need to be checked manually to make sure nothing has been missed. Experian Health’s claims management software solves this by incorporating government and commercial edits alongside client-specific customized edits. Providers can keep pace with changes and capture the requirements of all reimbursement policies that are relevant to a particular claim. For example, ClaimSource runs front-end claims editing to coordinate federal, state and commercial payer edits together with customized provider edits to avoid coding errors. Similarly, ClaimScrubber automatically reviews and adjusts claims, helping medical groups streamline claims submissions. 5. Upgrade record-keeping technology to maintain medical billing and coding accuracy If patient records are peppered with typos and outdated contact information, then it’s highly likely that errors will be inherited on claims forms. A fifth of patients have spotted errors in their health records, including incorrect details about diagnoses, medications and test results. Preventing these errors is key to maintaining medical billing and coding accuracy. Interoperable electronic patient records protect against inaccuracies by creating a single, complete record for each patient. With a tool such as Universal Identity Manager, patient data is matched against multiple data sources to verify that the record is complete and accurate. Staff can have confidence that all information held on a patient will be taken into account when their medical encounters are coded, and avoid coding discrepancies that can occur when a patient’s treatment doesn’t seem to match their diagnosis. 6. Double-check claims before submitting  Running a line-by-line review of each claim before it’s submitted means errors can be found and fixed before they result in financial losses. This would be a painstaking task to do by hand, but with tools such as ClaimSource and ClaimScrubber, hospitals and medical groups can audit claims automatically to check for coding discrepancies or missing patient information. A streamlined claims cycle benefits payers and patients too. Payers can adjudicate accurately coded claims more quickly without pushing them into a queue for manual review, and patients get earlier clarity about how much they’ll owe. 7. Audit the claims management process to spot medical coding inaccuracies Finally, it makes sense to undertake regular audits of the medical coding and billing procedures to weed out any recurring issues. While a coding audit will focus on coding accuracy and compliance, a billing audit can investigate the systems and processes involved in everything from patient eligibility verification to patient collections. This helps uncover recurring issues with under- and over-coding, use of redundant and retired codes, non-compliance and poor documentation. Again, maintaining robust, quality data and records will make this process easier. Partnering with a single, trusted vendor to deliver an end-to-end claims management solution can help achieve this. Find out more about how Experian Health’s automated claims management solutions can help healthcare organizations maintain medical billing and coding accuracy, drive down denials and create a more predictable revenue cycle.

An efficient revenue cycle management (RCM) system is a win-win for patients and providers. Friction-free solutions that cover everything from booking appointments to paying bills create a more satisfying patient experience and allow patients to focus on their health. Providers can lower administrative costs and generate more revenue from data-driven billing and collections operations. To ensure the patient’s financial journey goes ahead without a hitch and avoid revenue leakage, the RCM system can’t skip a single step. Experian Health’s 10-step healthcare revenue cycle flowchart sets out the necessary ingredients for success. See the healthcare revenue cycle flowchart below: Step 1: Patient registration The healthcare revenue cycle flowchart begins with the patient’s first interaction with the healthcare organization. First impressions count. Patients want to be able to book appointments and complete registration quickly and easily, and providers that offer patient portals are seen as more attractive. Opening up the digital front door with online self-scheduling and self-service registration also helps providers increase operational efficiency and minimize manual errors that could lead to claim denials. Reliable patient intake software can verify patient identities, reduce manual processes and deliver a flexible patient experience – laying the groundwork for the entire RCM process. Step 2: Eligibility and benefits Next, providers need to check whether the patient’s insurance plan covers their expenses. To increase the likelihood of reimbursement, providers should give patients clarity about their coverage status and be vigilant about locating any missing or forgotten coverage. Coverage Discovery allows providers to check for undisclosed coverage at every patient touchpoint. By quickly uncovering previously unidentified coverage, bills will be cleared sooner with fewer write-offs to bad debt. This part of the RCM process is also a good time to help patients plan for their financial obligations. Patient Payment Estimates gives patients accurate estimates and links to financial assistance and easy payment methods, straight to their mobile device. With the right data and digital tools, providers can deliver a transparent, compassionate and convenient patient payment experience that encourages payment earlier in the revenue cycle and supports a healthy cash flow. Step 3: Data entry With RCM processes relying on data like never before, maintaining accuracy is paramount. Providers must be able to verify and protect patient identities to ensure the right information is linked with the right patient. Accurate data entry decreases the costs associated with medical billing errors, and improves interoperability as more patient data is created, collected and shared. A digital patient identification solution can build a single, accurate view of each patient, using a unique patient identifier to hold the information together like a golden thread. Automated patient enrollment using PreciseID® allows existing data to be auto-filled, while tools such as Universal Identity Manager maintains data in an interoperable format, to further protect against errors. Step 4: Prior authorizations Before treatment begins, providers must determine if prior authorizations are needed. If so, they must submit a request to the payer. Without prior authorizations, providers may see their claims denied, which increases costs, causes time-consuming rework, and creates a stressful experience for patients. With online prior authorizations, providers are guided through a workflow that automates inquiries, status checks and submissions. It auto-fills payer data using real-time information about each payer’s prior authorization requirements, stored in Experian Health’s pre-authorization knowledgebase. Prompts for manual involvement ensure the process is as efficient as possible, to expedite treatment and secure timely payments. Step 5: Patient encounter At the time of treatment, information about the services a patient receives will be added to their patient record. This sets the stage for accurate coding and billing. To ensure no essential information is omitted, providers must keep up to date with regulatory changes. For example, the Appropriate Use Criteria program introduces new requirements for providers ordering diagnostic imaging services. Providers should examine their workflows in advance to avoid any costly compliance errors. The patient encounter is also an opportunity to double down on creating positive patient experiences, and to anticipate any potential RCM issues. Communicating clearly about any changes to medical bills and checking again for coverage will keep the revenue cycle moving. Providers may also consider incorporating data on the social determinants of health to support efficient discharge planning and prevent high-cost readmissions. Step 6: Charge posting In the next step of the healthcare revenue cycle flowchart, providers must submit the claims to the relevant payer using the appropriate charge posting or charge entry process. Documentation must include a detailed breakdown of all the services provided to the patient, alongside patient information, history and insurance or payment plan status. Again, getting every detail right will secure more timely payments that match the expected amounts. Step 7: Coding and billing Before patient billing gets underway, providers must check payer codes for the services that have been delivered. Payers use diagnostic (Dx) codes, place of service (POS) codes, current procedural terminology (CPT) codes, Healthcare Common Procedure Coding System (HCPCS) codes and others to determine payable amounts. If codes are not inputted correctly, claims are likely to be denied. Automated claims management software can check that every claim is clean and error-free before being submitted. Experian Health’s claims management software incorporates standard government and commercial payer’s global edits as well as client-specific customized edits so providers can submit claims with confidence. J. Scott Milne, Senior Director of Product Management at Experian Health, says providers can leverage tools such as Claim Scrubber and ClaimSource to automate and prioritize claims to maximize reimbursement: “Both of these solutions are focused on the most important revenue cycle goal – to submit the claim correctly the first time. With the combination of Claim Scrubber and ClaimSource, healthcare organizations give themselves the opportunity to decrease denial rates, increase cash flow and decrease the overall accounts receivables.” Step 8: Claims management After the claim has been filed, the payer’s claims adjudication process begins. Payers will check eligibility, benefits, coding and contract rules to determine their financial responsibility. They may decide to pay in full, pay a partial amount, or deny the claim, with the reasoning set out in an Explanation of Benefits (EOB) statement. If the claim is denied, the provider needs to decide if it’s worth reworking and resubmitting the claim. Rework is expensive and time-consuming, so many providers use a healthcare clearinghouse to check claims before they’re submitted. Providers may also consider using a tool like Enhanced Claim Status, which submits automated status requests based on payers’ individual timelines, and provides responses that include the payer’s proprietary codes and descriptions. This facilitates early intervention into claims that are flagged for denial, which improves productivity and faster reimbursements. Providers also get detailed denial analysis and monitoring reports to pinpoint the root cause of denials, so they can be fixed promptly. Step 9: Payer Contract Management The complexity and volume of payer contracts can leave providers with little negotiating power when it comes to querying and collecting underpayments and delays. Providers need robust processes to audit payer performance and keep track of changing payer requirements to ensure timely reimbursements. Experian Health’s Contract Manager helps providers stay on top of changes to payer payment policies, identify patterns of non-reimbursement, and appeal denials in the most effective way. It identifies inconsistencies between pricing claims and paid amounts, so providers avoid missed revenue opportunities. Positive provider-payer relationships make the revenue cycle management process easier for everyone. With reliable contract management tools, communication and two-way accountability are much more effective. Step 10: Patient Billing and Collections The final step in the healthcare revenue cycle management flow chart is to bill patients for the remaining amount they owe. Balances are collected by in-house collections teams or outside collections agencies. Revenue cycle management software makes this process smoother and more efficient. For example, Patient Financial Clearance assigns each patient to the appropriate financial pathway based on their individual circumstances, while Collections Optimization Manager can be used to build custom segmentation models and workflows. That way, resources can be focused on the accounts most likely to yield revenue. Then, once the patient’s bill has been issued, collections software can be used to create a compassionate and convenient payment experience and complete the revenue cycle. Find out more about how Experian Health’s Revenue Cycle Management Solutions help healthcare organizations deliver outstanding patient financial experiences, optimize RCM workflows and increase cash flow.

Healthcare data is mushrooming. Each patient generates hundreds of megabytes of data each year, from electronic medical records to activity logs on fitness trackers. The volume of data and diversity of sources is growing exponentially, churning out a wealth of information about patients' medical histories, socio-economic circumstances, consumer preferences and lifestyles. This is a gold mine for healthcare leaders and clinicians who want to improve clinical care and treatment. It reveals opportunities to reduce healthcare costs and address population health challenges. But with the rush to focus on fresh insights, there's a mountain of historical data piling up in the background. Is this “old” healthcare data still useful? How can healthcare organizations ensure that their decisions and strategies are based only on the most relevant data? Determining the relevance of healthcare data Value-based care and efficient workflows rely on up-to-the-minute healthcare data. After all, what use is a diagnosis that fails to take account of a patient's new medications? Why risk delayed payments by failing to check a patient's current billing address? When providers have a full understanding of a patient's current circumstances, they can deliver the best possible patient experience. Providers are right to focus on box-fresh data (such as Experian's unmatched, originally sourced healthcare, marketing and credit bureau data), but historical data shouldn't be overlooked. What matters is how the data correlates with other data points. Can it be relied upon to fill in gaps in a patient's profile? To answer these questions, providers should look at the source, format and content of their datasets. Can the original sources be verified? If historical data was recorded manually and stored in paper files, is it compatible with today's digital systems? How can historical healthcare data be used?   While clinical decisions shouldn't be made solely based on historical data, such data can help enrich patient profiles and build a fuller picture of the patient's life. For example, data that reveals a patient's past behaviors and habits may help to explain current symptoms. This can lead to improved health outcomes and a better patient experience. When used in conjunction with more recent data, historical data can help providers create robust patient profiles and promote stronger patient engagement, better allocation of resources and more equitable access to services. Fortunately, multiple tools exist to help providers make sense of all their data to draw accurate, timely and actionable insights. For example: 1. Unique patient identifiers help eliminate erroneous patient data Utilizing more data points means there's a higher chance of duplicate data creeping into patient profiles. Providers need to watch out for information that shouldn't be there, information that's missing, or information that's associated with the wrong person. Inaccurate and incomplete patient information can lead to medical errors, reduced quality of care and suboptimal patient experiences. A unique patient identifier helps eliminate identification errors and create a single source of truth for each patient. Universal Identity Manager protects each patient record, allowing both new and old data to be combined in a standardized format. The unique patient identifier makes it easier for providers to verify patient information at each touchpoint in the patient journey, so that new information can be checked against existing records to maintain a clean patient database. 2. Consumer marketing data helps create personalized patient experiences Older data offers additional insights into patients' behavior, lifestyles and consumer preferences, which can be combined with new information to create a personalized healthcare experience. For example, by leveraging third-party data from a reliable source such as Experian, a provider might discover that a patient has a preferred language that's different to the one being offered. Being able to refer the patient to a physician who speaks their language will create a much better patient experience and avoid potential misunderstandings. Experian now offers nearly 200 language codes, making it easier for providers to communicate effectively with individual patients. A consumer marketing tool such as ConsumerView also enables providers to tailor the content, method and timing of marketing communications. This supports value-based care by making it easier for patients to engage with healthcare communications and access the support they need. 3. Improved revenue cycle analytics can increase reimbursements Of course, being able to access increasing volumes of current and historical data is only useful if that data can be turned into actionable insights. The more accurate the data points, the more reliable the analysis will be. This is particularly true of revenue cycle analytics, which encompasses everything from patient access and billing to reimbursements and payer performance. Experian Health's web-based business intelligence tool gathers together multiple data streams into a single analysis, so providers can make better decisions across the entire revenue cycle. User-friendly dashboards give staff at-a-glance summaries of what's happening across the revenue cycle, while allowing them to drill down to see detailed trends analysis for specific key performance indicators. A reliable data partner can help providers harness vast datasets Harnessing these ever-growing datasets to generate the most relevant insights is no mean feat. By partnering with Experian Health, providers can enrich patient profiles with originally sourced, reliable data and secure the greatest ROI from Experian's unmatched suite of analytical tools. Providers can tap into thousands of healthcare, credit, marketing and lifestyle data points to get a 360-degree view of their patients. They can validate the source, standardize the format and interrogate the content of new and historical data with Experian Health's user-friendly software. With clean, comprehensive data presented in a timely and accessible way, providers can future-proof their workflows and capitalize on the transformative power of big data – old and new. Discover how Experian Health's data and analytics tools can help healthcare organizations build robust patient profiles by leveraging both old and new datasets.

With support from Experian Health, the Council of State and Territorial Epidemiologists (CSTE) assisted state health departments with tracking and managing COVID-19 infection rates. Universal Identity Manager (UIM) complemented existing data tools by closing gaps in patient identities, so public health officials could efficiently identify and contact those who might be infected or at risk of infection. In Massachusetts, this data underpinned hyper-localized dashboards to inform community-level public health decisions. Related reading: Learn how the Tennessee Department of Health used UIM to improve contact tracing and patient outreach during the pandemic. In Massachusetts, responsibility for providing COVID-19 data to local governments fell to the public health department’s Division of Surveillance, Analytics and Informatics (DSAI). Local officials relied on this data to make swift and effective decisions about school closures and restrictions on public events. One particular challenge was tracking the spread of COVID-19 among transitory populations. Records for incarcerated individuals, university students and nursing home staff often showed the address linked with the person’s health insurance, rather than where they were currently living. Inaccurate contact details could skew data, resulting in unreliable data reports. In addition, this new initiative had to meet the Massachusetts Department of Public Health’s existing data privacy standards. Universal Identity Manager helped the DSAI team fill in missing patient information with current demographic data, using the Experian Single Best Record. UIM combines best-in-class probabilistic and referential matching technology to accurately match records across multiple healthcare organizations. A Universal Patient Identifier is assigned to each patient, which allows instant updates to demographic data for a single, accurate and complete view of each person. To address concerns about maintaining patient privacy, an expiration date was applied to the data usage rights, defining and limiting the time period in which the team could use patient identity data derived from UIM for this initiative. With these complete records, hyper-localized COVID-19 dashboards provided data-driven support to allow 351 local health boards to make fast and effective public health decisions. Find out more about how Universal Identity Manager can support improved community outreach and decision-making with accurate and secure patient identities.

During the COVID-19 pandemic, national and state health departments needed timely and accurate patient data to communicate quickly with citizens and make decisions about the local public health response. With support from Experian Health, the Council of State and Territorial Epidemiologists (CSTE) utilized Universal Identity Manager to provide members with reliable and accessible data tools to help slow the spread of disease. Here’s how the Tennessee Department of Health (TDH) used those resources to improve contact tracing and patient outreach amid mass relocations. According to Pew Research Center, more than a fifth of US adults changed their residence in 2020 because of the pandemic, or knew someone who did. In Tennessee, Epidemiologist and COVID-19 Team Lead David Fields identified mass relocation as a major obstacle to patient outreach during the pandemic. Job losses caused residential displacement, meaning that a patient’s health record didn’t always show the most current address. Because of the nature of their work, migrant farmworkers often have fluid living situations. This means that they rarely have a continuous home address and will share the same address or phone number with others, which hinders effective communication. And the private laboratories that expanded into COVID-19 testing often relied on stale contact data. These are some of the primary challenges that confronted the team in Tennessee working to verify data they were receiving. Experian Health helped TDH close the gaps in patient records using the Universal Identity Manager (UIM) platform. With UIM, records are matched using a unique patient identifier that combines industry-leading demographic information with the highest quality reference data to create the Experian Single Best Record. This accurately identifies separate records that belong to one person, creating a “golden thread” that follows the patient throughout their healthcare journey. TDH was fielding around 150 demographic data requests from community health departments per day. Before the pandemic, David’s team responded to these requests using proprietary and third-party databases that aggregated data held in public records. UIM complemented this approach with faster records matching, which allowed the team to provide quicker and more reliable patient contact information. In particular, UIM supported more efficient contact tracing during mass relocations by providing accurate phone numbers for citizens with positive COVID-19 test results and data for "hard-to-contact" cases. This solution also helped TDH create statistical analyses for the spread of COVID in the local populace by providing demographic data – such as gender and race. Find out more about how Universal Identity Manager accurately matches and protects patient data across multiple data sources, to create a single, longitudinal view of each patient and real-time insights to improve public health decision making and patient outreach.

Solving the patient identity problem and ensuring that each patient record is accurate and airtight is a top priority. Healthcare providers want to be 100% confident in answering “yes” to the following questions: Is the patient who they say they are? Is the right medication being administered to the right person? Is the correct bill being sent to the patient’s current address? By validating patient identities, providers can secure patient trust, deliver high-quality care, and avoid losing revenue to identity errors and fraud. Unfortunately, patient identity management is only becoming more complex. While telehealth and remote patient access are opening healthcare’s digital front door to meet changing consumer needs and expectations, a mountain of sensitive patient data is piling up. This data is a gold mine for fraudsters who steal and sell patients’ personal information or use it to access services and prescriptions without paying. It’s distressing for patients and creates a major financial and administrative burden for healthcare staff. A nationwide patient identification system may still be some way off. However, providers can optimize patient matching in their own health systems by working to reduce vulnerabilities and adopting cutting-edge interoperable patient matching technology. Better patient matching means better patient care and protected profits The human cost of incorrect, incomplete or outdated patient medical records is significant. Patients could be given the wrong medication or diagnostic procedures. Allergy information can be missed. Patient test results can be mislabeled or mixed up. In Experian Health’s State of Patient Access 2.0 survey, almost half of providers said inaccurate and incomplete patient data was an obstacle to proactive follow-up, which could cause gaps in care and avoidable complications – which are critical to value-based care compensation. Duplicate and mismatched patient records also create massive inefficiencies that can threaten an organization’s financial health too. With telehealth claim lines climbing by 2817% between December 2019 and December 2020, reliably authenticating patient identities in both existing and new services will be critical to future financial performance. Resolve, protect and enrich patient identities with universal identifiers Having the right technology to resolve and secure a patient’s information when they log on to patient portals and telehealth systems is the first step. Automating patient enrollment with Experian Health’s PreciseID® ensures the patient is who they say they are. This solution utilizes best practices in identity-proofing, fraud management and device recognition. But this system only works if the records being matched are accurate. A universal patient identifier provides a single, accurate, 360° view of each patient throughout their healthcare journey. An interoperable format allows systems to talk to each other and protects against duplicates, errors, inefficiencies and fraudulent activity. Universal identifiers aren’t available nationwide yet, though there has been some encouraging movement. Congress is working to remove the ban on funding for such measures, while the Centers for Medicare and Medicaid Services are taking steps to promote data standardization. For health systems that want to maintain a golden record for each patient within the bounds of their own operations, Experian Health’s Universal Patient Identifier allows staff to connect, verify and protect patient information. Choosing the right patient matching technology Traditional matching technology relies on demographic data and uses deterministic or probabilistic methods to link records with identical identification information. However, relying on a single source of data means that previous errors are inherited by new versions of a patient’s record. Demographic data isn’t unique to individual patients, which can lead to mismatched records and create extra manual work to fix. Experian Health uses referential matching technology to build a complete view of patients from reliable health, credit, and consumer data sources. The universal patient identifier connects disparate datasets and instantly updates the master index of patient records with new data points. Referential matching can only ever be as good as the data that is being matched and Experian is a global leader in data accuracy, across numerous sources, and is continually updated. Victoria Dames, VP of Product Management at Experian Health, says, "With Experian’s reference data, we’re able to create a longitudinal record of each individual and reconcile their data as they change names, addresses and see different providers. You need to know that it’s the same person, especially with the pandemic acting as a catalyst for digital technologies such as telehealth. It also helps organizations bring data together and ensure data integrity through mergers and acquisitions. Dealing with large volumes of data is a big hill to climb, but with the right technologies it can be that much faster.” As telehealth and digital patient access services gain traction, solving the patient identity problem becomes increasingly urgent. Universal Identity Manager combines industry-leading consumer demographic information with the highest quality reference data and powerful unique patient identifiers to create a single view of each patient. With better patient identity management, providers can protect against errors and fraud, and reassure patients that their personal information is safe. Find out more about Experian Health’s identity management solutions.

No healthcare organization is immune to the problem of bad data. One in five patients has found errors when looking at their electronic health record (EHR). This includes incorrect information about their diagnosis, medications, test results and more. If the data held in patient records is incomplete, inconsistent, or inaccurate, this can lead to poor clinical decision-making, substandard patient experiences, and gaps in treatment or follow-up. In Experian Health’s State of Patient Access 2.0 survey, patient identity management emerged as a major challenge for healthcare providers, with almost half of the respondents saying that inaccurate and incomplete patient data hindered follow-up contacts and patient outreach. “Dirty” data also presents a major financial risk, costing healthcare organizations millions of dollars per year. Many providers have stepped up their digital offerings in the last few years, particularly in response to the pandemic. While digitalization offers huge advantages, it does have an unfortunate side effect. As more data is created, shared and accessed, there are more opportunities for mistakes. Some industries may accept a certain amount of rogue data as inevitable, but in healthcare, it mustn’t become the norm. Patient data needs to be consistent, complete and standardized to ensure the highest standards of care. The Centers for Medicare and Medicaid Services (CMS) recognizes the need for an easier and more secure exchange of healthcare data, and are taking steps to facilitate interoperability. As these provisions are finalized, providers can act now to embed data standardization in their digital services. Better data means better decisions, better care and lower costs. As the digital transformation continues, providers must implement strategies to eliminate inaccuracies, enable consistent identity management, and ensure data is standardized across all their systems and networks. In this article, we share three steps to help your organization ensure that patient data remains complete and consistent for better patient identity management. 1. Start with the right patient data As the saying goes: garbage in, garbage out. Reliable patient records require the right information to be added from the start, or errors will follow the patient throughout their healthcare journey. This will only continue compounding over time. A 2021 survey of Experian Health clients revealed that incomplete data arises for a variety of reasons. This ranges from patients not filling out forms correctly prior to their visit or forgetting their insurance cards, to staff having limited time to complete documentation. Typos, misspellings, duplicate data and missing information can also cause identity errors.* Providers should reduce the risk of inaccurate data from being added to a patient’s record in the first place. A standardized approach to data formatting is a good place to start. For example, if a patient is accustomed to writing their date of birth in a European format, with the day before the month, they may enter this incorrectly when filling out online patient access forms. Configuring calendar drop-down menus in such a way that prevents this will avoid these basic but costly errors. With a Universal Identity Manager (UIM), each patient’s record can be maintained in a standardized format. Probabilistic and referential matching techniques are used to check the patient’s identification information against existing databases, for a more complete view of the patient regardless of any data gaps. 2. Solve patient matching challenges with robust identity verification It doesn’t matter if patient records are accurate if staff pull up the wrong record when they speak to a patient. Providers should prioritize consistent identity management to ensure clinical and non-clinical staff see the same and correct information, regardless of where or when a patient interacts with their organization. Identity Verification validates the patient’s identification information during pre-registration and check-in by instantly accessing demographic information. This includes the patient’s name, address, Social Security number, date of birth, phone number and insurance coverage data. If there’s a mistake, it’s easily found and corrected. 3. Standardize data to maintain clean patient databases Victoria Dames, Vice President Identity Management at Experian Health explains why standardization is so important: “The increasing use of digital services means that more healthcare data is being exchanged within and between health systems than ever before. However, in order to leverage the opportunities that come with a more connected healthcare system, we need that data to be as reliable as possible. Preventing inaccuracies before they occur will be much more cost-effective than scrambling to fix them after the damage is done. With a standardized approach to data collection and management, healthcare organizations can maintain reliable records for every individual patient and stay ahead of the game as more data is generated and shared.” Unique Patient Identifier (UPI) helps providers eliminate duplicate records so there’s a “single source of truth” for each patient. After the UIM matches the patient’s information within a single and accurate patient file, a UPI is assigned to that record and maintained in a master index. This is far more secure than a traditional matching algorithm based on Social Security numbers, which can be vulnerable to errors. Together, these tools help healthcare providers create and maintain a “golden record” for each patient. Data quality will always be a challenge. However, with the right data standardization strategies, providers can make better decisions. This will create better patient experiences and better health outcomes while limiting the financial impact of dirty data. Contact Experian Health today to find opportunities to clean up your healthcare data for better patient identity management. *Survey of Experian Health clients, October 2021 Are you an Experian Health client? Then we invite you to join our Innovation Studio research community. Your ongoing input is key to driving improvements to our tools and products! Sign up here!

This is the third in a series of blog posts highlighting how the patient journey has evolved since the onset of COVID-19. Explore how digital patient intake solutions are transforming the registration process - presenting patients with self-service options and providers with an automated and more efficient process. To read the full white paper, download it here. Registration is a familiar pain point in the patient journey, but COVID-19 has pushed both patients and providers to embrace digital patient intake processes and solutions. These new solutions move registration out of the waiting room, reduce errors and inefficiencies, automate billing, payments and create an enterprise-wide approach to data. Digital patient registration, once considered a “nice to have,” is now a widespread priority. A reveals that 88% of providers plan to invest in patient intake capabilities as a result of the pandemic, up 15% over a year ago. Patients lead the way on post-pandemic digital experiences COVID-19 marked a tipping point in the digital patient experience. Contactless care in the form of telehealth, along with increased use of patient portals and self-service scheduling tools, helped patients access care from a distance. Now, even though 81% of patients say they believe their provider has made on-site facilities safe, many still prefer online and mobile registration options. The study also revealed that 64% of patients prefer an online or mobile-enabled registration experience. “There’s an ‘ick’ factor,” explains Spiro Kalapodis, Director of Product Management for Registration Accelerator and Patient Financial Advisor at Experian Health. Patients actively dislike filling out paper forms, using registration kiosks and handling iPads set out for public use. “I don’t blame them,” says Kalapodis. “Even though the initial wave of COVID-19 restrictions has passed, I would prefer completing the registration process from the comfort of my car, rather than fill out forms in a crowded waiting room.” Simplifying a difficult process with digital registration and digital patient intake solutions One reason automated registration can be such a relief is that manual processes are notoriously difficult for providers to manage. Manual patient registration has always been labor-intensive and subject to human error; COVID-19 magnified these limitations. Paper forms are inefficient – they require design, printing, paper, clipboards, pens, secure storage and disposal. So many things can go wrong: receiving illegible responses, inputting data incorrectly, misplacing forms, the list goes on—and each step consumes valuable staff hours, with questionable results. Meanwhile, patients moved, visited new providers, changed jobs and switched insurance companies which meant there was more information needing capture. At the same time, providers are struggling to recoup revenue that was lost when patients deferred care during the pandemic. Optimizing both human and digital resources is key to delivering on an improved patient experience and regaining consistent profitability. “Patient intake solutions automate everything so data can be used consistently across the patient journey,” says Kalapodis. “For example, when a patient scans their insurance card and submits it through Experian Health’s Registration Accelerator, we leverage technology behind the scenes that can automatically indicate the patient’s insurance provider, policy details, and correctly return the patient’s subscriber details —information that staff members otherwise have to figure out for themselves. By automating this process, we’re saving time and resources, reducing misunderstandings and preventing data entry errors, which can be costly for providers and confusing for patients.” With the right data, providers can also create accurate estimates and even invite patients to pay their bills as part of the registration process. The patient receives a text message with a link to their estimate, along with the opportunity to pay online or on their mobile device. “Not only does this streamline the billing and collection process for providers, it creates a frictionless experience and increases greater transparency for the patient,” says Kalapodis. Getting to a single view of the patient Maintaining accurate data records can help providers deliver smooth patient experiences, better care, simpler payment processes and allows for better communication. Unfortunately, COVID-19 created another challenge on this front. During the pandemic, many patients signed into patient portals to schedule vaccine appointments. In their hurry to secure a shot, many inadvertently created duplicate accounts—and now have duplicate records. Obviously, multiple vaccine logins are not the only source of duplicate, inaccurate and incomplete patient data. But thanks to COVID-19, providers have this additional problem to contend with. Automation can make fast work of data issues. A universal identity manager creates a single view of the patient using unique patient identifiers, which prevent duplicate data records. The result: fewer billing errors and reduced associated costs, better care and a more frictionless patient experience. Patient intake can be painless Digital patient registration was a good idea even before COVID-19. Paper forms, entry errors, fragmented data, duplicate records, slow billing, and a lack of transparency made the registration process costly and inefficient. But COVID-19 made the need for digital more acute. Providers that hope to re-engage patients and recover profitability in the post-COVID-19 era need the power of data and automation. Learn more about how Experian Health can help you deliver a patient registration experience that fits post-pandemic expectations while improving efficiency, reducing errors and leveraging patient data. Download the white paper to learn how digital patient intake solutions are revolutionizing healthcare.   Missed the other blogs in the series? Check them out: 4 data driven healthcare marketing strategies to re-engage patients after COVID-19 How 24/7 self-scheduling can improve the post-pandemic patient experience

Patchy patient data has plagued the healthcare industry for decades, but the pandemic opened the door to a whole new set of identity management challenges. As patients rushed to register for patient portals and book vaccines, many unwittingly created multiple accounts, having forgotten they’d already signed up. Fluctuating unemployment levels meant many individuals were forced to jump health plans, which meant their records were moved between various organizations. As a result, data errors crept in, and identity updates were omitted. Incomplete and inaccurate patient identification data leads to suboptimal clinical decision-making, poor patient experiences, and higher costs for patients and providers. A 2020 study found that one in five patients had spotted an error in their electronic health record (EHR). Many clinicians have also witnessed medical errors that stem from patient misidentification. Hospitals lose millions of dollars every year in denied claims arising from identity errors, which can easily be avoided with a standardized approach to identity management. In a recent survey conducted by Experian Health, we found that identity management emerged as a major challenge for healthcare providers. Almost half of the respondents said that having inaccurate and incomplete patient data hindered follow-up contacts and patient outreach. It matters to patients too – a 2020 survey for the Pew Charitable Trusts found that four in ten were more supportive of data-sharing efforts among providers because of the pandemic, and twice as many were open to the idea of biometric identity verification. "Patients still welcome proactive outreach by providers, but more say their providers fail to do this, and 45% of providers say inaccurate or incomplete patient data gets in the way." - Experian Health's State of Patient Access, June 2021 Providers know that a 360-view of their patients is essential for improving patient outcomes and delivering positive patient experiences; however, duplicate and incomplete data continues to thwart their efforts. With a unique patient identifier (UPI) and a robust identity verification solution, providers can achieve single, accurate, and current records, and solve for these data standardization challenges. Data standardization creates a single source of truth for each patient Despite bipartisan recognition of the need for a national standard for patient identities, statutory barriers have hampered the adoption of a nationwide UPI. In the absence of a national approach, providers must take the lead to ensure high-quality patient records and prevent duplication, gaps and errors. The first step towards data standardization is identifying the type of patient information your organization needs. What data must be collected from patients? Which form fields are required and which are optional? How should data fields be formatted when updating patient records? Standardizing data collection and ensuring content and format consistency will help create reliable records for every individual patient. Next, a Universal Identity Manager (UIM) can hold and protect that single view of each patient, creating a standardized approach when new data is added. The software assigns a unique identifier to each patient, which follows them throughout their entire healthcare journey. By drawing on referential and probabilistic matching techniques with Experian data and patient rosters, the UIM uses the unique identifier to accurately match the patient’s identification and medical history, to help both clinical and non-clinical staff offer optimal care and support. Confirming the patient is who they say they are Having an accurate picture of each patient is only the first step. Next, providers must feel confident that each record can be correctly matched to the individual who is trying to log on to the portal or sitting in the waiting room. A complete and current record is useless if clinicians are matching it to the wrong person. To solve patient matching challenges, most healthcare organizations assign employees or contractors to fix and clean up data records. Without a software-driven identity management engine, these teams are forced to rely on manual processes, which are time-consuming, costly, and still vulnerable to errors. Alongside the consistent approach to content and format mentioned above, providers should have a reliable way of checking and amending the patient’s records at every touchpoint in the healthcare journey, using cutting-edge identity proofing techniques, risk-based authentication, and knowledge-based questions. A tool like Identity Verification can easily identify every patient and help maintain a clean and accurate patient database. Each patient’s demographic data can be validated and corrected during pre-registration, so providers know that the person is who they say there. This is even more crucial as the pandemic leads more patients to opt for remote and virtual services alongside in-person care. Future-proofing patient identities as the pandemic prompts long-term change Since March 2020, many Americans have gone through major life changes. Whether it’s the loss of a loved one or loss of a job, a change of address or a change in attitude towards their health, patients’ lives are changing. The healthcare system must adapt to follow suit. Many more players are involved in delivering healthcare, with digital apps and tools growing in popularity. These developments mean more patient data is being generated and shared, and by more diverse and distributed sources. A robust identity verification system built on standardized data can help smooth out the bumps in patient records and offer better patient experiences and improved health outcomes. Providers don’t need to completely overhaul their records system, but by investing in incremental changes to improve the quality and governance of their data, they can accelerate the move towards data standardization. Talk to Experian Health about how our proven tools can help your organization deliver better patient data quality today, and build a universal identity management system fit for the future.