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with denials totaling billions of dollars per year, providers can’t afford to risk under- or over-coding or relying on outdated codes.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 If a claim includes outdated, incorrect or missing codes, then it will be denied.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.

To ensure the patient’s financial journey goes ahead without a hitch, follow this 10-step healthcare revenue cycle flowchart.

Learn more about how historical patient and healthcare data can help healthcare providers build robust patient profiles.

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.

Patient identity management remains a major challenge for healthcare providers. Learn how to unlock the power of data to deliver better care.

Explore how digital patient intake solutions are transforming registrations with automated and efficient self-service options.

The pandemic opened the door to a whole new set of identity management challenges. How can providers solve for data standardization challenges?