Tag: Universal Identity Manager
Health plans have been fighting against inaccurate member data, incomplete member profiles and duplicate records for years. Without a watertight way to keep track of patient identities so health data is reliably linked and accessible across multiple services, payers can’t always be confident that the record in front of them matches the member they have in mind. The pandemic has brought this into sharp focus: positive COVID-19 test results aren’t always following members from service to service, and as the vaccination program rolls out, knowing who has had the disease and who has been vaccinated could be difficult to monitor. As health data expands exponentially and the need to share and connect member records becomes more urgent and complicated, the challenges facing health plans will only grow. Could a unique patient identifier (UPI) be the answer? 4 member matching challenges that health plans could solve with a UPI 1. The healthcare ecosystem lacks 21st Century Cures Act data coordination The lack of integrated systems to transfer member data securely contributes to safety issues, payment delays and potential audits and fines. Over a third of denied claims for health systems result from inaccurate patient information, costing them at least $6 billion per year. While this would seem not to impact the payer, the inability to properly link claims to members could lead to an inability to understand the risk represented by the members being covered. Or worse, an inability to anticipate and monitor trends in members health and provide proactive healthcare options. A unique patient identifier can connect the dots between different parts of the healthcare ecosystem so duplicate and incomplete member data can be detected and eliminated. With a more complete picture of who a member is, health plans can make decisions based on accurate information and exchange data safely and securely. There’s a far lower risk of acting without knowing about recent treatment or test results, or communicating using the wrong address (or even to the wrong member). 2. Healthcare providers have outgrown traditional matching tools With the volume and variability of health data to be matched, traditional matching tools are no longer fit for purpose. For example, an enterprise master patient index (EMPI), which links all versions of a patient’s record across several facilities, may seem reliable. However, by relying on a single source of demographic data, EMPIs likely replicate errors and outdated information, and may combine records for patients who share certain demographic information (for example, if two patients have similar names and the same date of birth). Instead, payers should consider a matching solution that combines member roster information with comprehensive third-party reference data. Member records are matched using referential and probabilistic matching, and connected using a UPI. This gives health plans a more complete picture of their members, built on reliable health, credit, and consumer data sources, and allows all parties to understand the person at the center of it all. 3. Discrepancies in member data make care coordination impossible Members may use different names or nicknames, their address may change, and they may even share a Social Security Number (SSN) with someone else. How can health plans help to coordinate care if they’re not sure they’re tracking the right member? A single electronic health record (EHR) can follow the member throughout their healthcare journey with a UPI, so health plans can be confident that the person on the phone or in the office matches the record on screen. They can monitor and respond to gaps in care, allowing them to better coordinate care for better patient health, improved member engagement and money-saving operational efficiencies. 4. Members present to multiple facilities, inhibiting care plan tracking How can health plans reliably track medication adherence, especially when members present to multiple locations? Is there really a gap in care, or did the member just attend a different facility? And if members go to different pharmacies, how can a pharmacist be sure the prescription is going to the right person? All of this can create risks to patient safety and increased costs for payers. A UPI can help. Experian Health has teamed up with the National Council for Prescription Drug Programs (NCPDP), which sets standards for pharmacy services to exchange electronic healthcare data. A framework has been built for a UPI-based patient matching solution that the entire US healthcare network can use. Not only will this improve patient safety, it’ll minimize staff time spent on reconciling incorrect records, thus boosting financial performance too. When it comes to mismatched records, prevention is better than cure. With a Universal Identity Manager, health plans can have confidence in the accuracy and security of the data they’re using and sharing, promote patient safety, and improve staff productivity. Contact us to learn more.
Halloween might be over, but healthcare fraud – or simple input errors – can transform a patient’s identity into something completely different. The negative impacts are potentially far-reaching, haunting both patients and providers. Is the patient standing in front of you really who they say they are? Learn more about Experian Health's identity management solutions and how we can help you match, manage and protect patient data with:
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.
Did you ever have someone tell you, “there’s no magic pill” for reaching a goal? It’s a somewhat ironic analogy, given that so many people struggle to take their meds as prescribed. Following a medicine schedule actually takes a lot of organization and discipline, never mind the financial and emotional cost of having a daily reminder that you’re not well. It’s estimated that 50% of patients don’t take medications as prescribed. Sometimes a patient is busy and misses a dose. Maybe they forget whether they’ve taken it already and accidentally take double. Perhaps they feel better and decide to stop a course of meds early. Or maybe they can’t get to the pharmacist to get their refill on time. Unfortunately, medication non-adherence (MNA) can have a more direct impact on a patient’s condition than the specific treatment itself, according to the World Health Organization. Non-adherence is thought to contribute to nearly 125,000 deaths and 10% of hospitalizations each year. It costs the health care system between $100–$289 billion each year, and according to a study by Walgreens, for every 1% improvement in adherence, $50 can be saved in healthcare spending. The causes are varied. Of course, patients have a role. But healthcare organizations operating at various points along the care continuum can also play a big part in helping or hindering patients in sticking to their prescriptions. Doing so is in everyone’s interest, as tackling non-adherence can help reduce readmissions and avoid more serious medical conditions, improve patient loyalty, yield financial savings and create a better experience all around. Here are three ways different healthcare organizations can help patients stay on track with their meds: 1. Keeping accurate patient records from hospital to home When a patient is hospitalized, it’s fairly easy for them to stick to a medicine schedule. Drugs are dispensed in the same building and brought right to the patient’s bed at the appropriate time. The problems arise when the patient goes home. They may leave hospital with new prescriptions which can be confusing and if they already have a prescription, the admission itself can disrupt their usual routine. As things stand, hospitals tend not to be reimbursed for interventions to improve adherence, so these are less likely to be prioritized during care transitions. But given the likely improvements to patient outcomes and consumer loyalty, and the fact that hospitals could save $37 for every dollar spent tackling MNA, these interventions are worth a second look. A simple but effective place for hospitals to start is in improving patient identities. When your clinical teams know they have a 100% accurate and up-to-date record for each patient, including their current prescriptions, they can help the patient stay on track and prescribe new medicines with confidence. New identity management platforms such as Universal Identity Manager can help you keep track of patients and their meds, reducing the risk of medical errors and avoiding billing mistakes associated with duplicate prescriptions and preventable readmissions. This ‘golden thread’ of patient information can also improve communications within and between providers in your health system, such as Accountable Care Organizations (ACOs), pharmacies and other community providers. 2. Understanding and addressing wider barriers to adherence Common barriers to adherence often relate to a patient’s circumstances at home, such as not being able to get to the pharmacy because of a lack of transport, or because the opening hours don’t fit with their work schedule. For patients juggling work, childcare and other responsibilities, refilling their prescription can easily slip down the to-do list. Pharmacies can help by offering logistical support such as automatic refill programs, home delivery and help with organizing medication into pill boxes. But how do you know which intervention will be most relevant? This requires a wider understanding of the make-up of your patient population and their needs, preferences and behaviors. Understanding the social determinants of health can help you identify the specific barriers to care for your healthcare consumers, so you can put in place the right response. 3. Develop patient engagement strategies to help patients take their meds It’s not just those directly involved in providing care who can help improve MNA. Payers can help in two major ways: firstly, by supporting members to overcome barriers such as cost and confusion, and secondly, by working with hospitals and pharmacies to help them develop effective strategies to reduce non-adherence. For example, Blue Cross Blue Shield of Arizona (BCBSAZ) has introduced a text messaging service to send reminders to members about their prescriptions, with a $45-50 discount on copays for those that refill on time. It’s hoped this program will tackle behavioral barriers to adherence such as procrastination or forgetfulness, while also addressing price concerns. Chris Hogan, Chief Pharmacy Officer at BCBSAZ described the program “as being a very high tech, modern, simple and effective addition to our overall initiative to improve medication compliance.” This kind of personalized patient engagement can be very effective in helping patients to stay on track. With ConsumerView, you can access a wide range of high-quality demographic, psychographic and behavioral consumer data, to help you offer personalized support such as digital reminders to your patients. You can develop engagement strategies tailored to the specific needs of your patients in just a couple of clicks. Could one of these strategies help your organization do more to improve medication management? Learn more about how we can help you help your patients – and your bottom line.
Medical identity theft is a growing concern for healthcare organizations in the digital age. In 2017, healthcare data breaches accounted for 24% of all data breaches, rising to 29% in 2018. In just 12 months, the total number of personal medical records exposed jumped from 5.3 million to 9.9 million. In fact, healthcare data breaches tend to expose many more individual records than other industries. For example, according to the Identity Theft Resource Center, 43.9% of breaches in the first half of 2019 were in business, while only 36.9% were in healthcare. But for healthcare, this meant exposing a staggering 77.4% of all records left vulnerable to identity theft, compared to just 9.5% by business breaches. The potential impact of a healthcare data breach seems to be further-reaching than in other fields. At the same time, healthcare is slightly behind other industries when it comes to data security. Financial services have a two-decade head start to refine their anti-fraud strategies. This, coupled with the fact that medical identities are worth 20 to 50 times more to fraudsters than financial identities, means medical identity theft is increasingly appealing to criminals. It’s a big concern, but healthcare organizations can use data to fight data theft. When you’re armed with the right information, you can put in place the right strategy to protect your patients. What is medical identity theft? Medical identity theft is when someone uses another person’s health-related identifying information without them knowing. This could include their name and address, Social Security number, health records, or insurance information. Fraudsters can use this information to access medical services without paying, submit false insurance claims, or buy drugs. They pretend to be someone else to access services illegally. In addition, that personal information could be used for other kinds of identity fraud or blackmail. What are the consequences of medical identity theft? Karly Rowe, Vice President New Product Development, Identity & Care Management Product at Experian Health, says: “For patients, the impact of having their personal information stolen, and then possibly used to make false claims in their name, can be hugely violating. When someone’s record becomes overlaid with a thief’s record, this can have massive consequences for that person’s future treatment. It’s a major stress to sort out – both administratively and financially. And for organizations, there’s obviously the reputational hit. The relationship between provider and patient is based on trust. When you fail to secure your patients’ most personal information, you risk losing that trust for good.” It’s also a major cost. Medical fraud in the U.S. is estimated to cost somewhere between $80 billion and $230 billion, with the cost to individual providers and payers coming in at around $2 million per breach. To tackle the problem, healthcare organizations are stepping up their security practices across the board. A HIMSS survey, in partnership with Experian Data Breach Resolution, reported that data security strategies have improved. Ninety-two percent of those asked had performed a formal risk analysis, and more than half had increased their patient data security budget. A number of organizations also teamed up to form the Medical Identity Fraud Alliance, to mobilize the industry to tackle the problem. Still, there’s a ways to go. 3 ways to leverage data insights to prevent medical identity theft Protecting patient data calls for a data-based solution. Here are three ways to leverage consumer data and technology to protect your patients and keep their information safe: Resolve patient identities. Accurate patient data is the cornerstone of data management. If your records aren’t entirely reliable to begin with, keeping them safe and secure will be much harder. Put preventative measures in place to minimize the risk of duplicates and errors. Assigning a Universal Patient Identifier (UPI) will let you follow the entire patient journey, so you have a complete, accurate and secure picture of each patient. Protect patient identities. Patient portals allow people to access their health information from their personal devices. It’s convenient and can improve engagement and health outcomes. Unfortunately, they can also become vulnerable to breaches by data thieves. You have to make it easy for patients to use portals, but difficult for fraudsters to get their hands on that personal data. As patient portals gain popularity, you must have the right technology in place to validate and protect patient identities. Automating patient enrollment with a tool like Precise ID® can help authenticate patient identities from the start using identity-proofing, fraud management and device recognition. Enrich patient identities. With data insights, you can check that your patient is who they say they are the moment they arrive in reception. Using the broadest and most trustworthy datasets, identity verification solutions make constant checks, so you have a single, accurate and 360° view of each patient. Not only is this ‘golden record’ the cornerstone of patient care and experience, it’ll let your staff update patient data during intake without manual corrections. Medical records contain some of the most sensitive personal information, so it’s vital to safeguard it with the strongest security that exists. — Download this free eBook to learn how to evolve today's patient matching technologies or find out more about how to protect your patient data and prevent medical identity theft.
Patient identity is the backbone of the entire healthcare system. It's how the pharmacist knows they're handing over a prescription to the right person. It's how the physiotherapist knows what happened during a patient's knee surgery a few months earlier. It's how the hospital’s billing office knows they're mailing a patient's bill to the right address. In short, it's how you know who your patients are. When something goes wrong with patient identities, the negative impacts can be far-reaching: from a bad patient experience or worrying patient safety issues, to an operational nightmare or avoidable expense to the provider. Incorrect and mismatched patient records can lead to patients getting the wrong medicine or treatment, delayed treatment, or missed follow up. Clinicians may be forced to make medical decisions without seeing a 360° view of the patient in front of them. And potential data breaches arising from misidentification can leave providers exposed to both financial and legal challenges. All of this is compounded by the fact that providers often don't know the scale of the problem. A healthcare IT survey in 2018 found that while 66% of Chief Information Officers in healthcare organizations considered patient matching among the highest priorities for their leadership team, only 18% actually knew the figures for mismatched and duplicate records within their own organization. That's not including the potential for identification errors being passed between different healthcare providers. In fact, up to half of all patient records may not be linked correctly. So why do these identity mismatches occur and how can you prevent them? Understanding the root causes is the key to solving for patient misidentification. Top 9 reasons for patient misidentification According to a Ponemon Institute study of more than 500 nurses, clinicians, IT staff and finance leads across the US, common causes of patient misidentification include: Incorrect patient identification at registration, where the patient is linked to the wrong records throughout their interaction with the service provider Inability to find the correct record for the patient, when queries result in multiple or duplicate records, or no record at all Time pressure when treating patients – clinicians can waste up to 30 minutes per shift searching for correct health records for patients Insufficient training and awareness, with staff failing to follow protocols correctly, or those protocols being substandard in the first place Too many duplicate records in the system, with misidentification occurring when the search query returns multiple records with the same name or date of birth Human error Inefficient information-sharing between departments or workflows Over reliance on DIY solutions, which may not quite meet the mark in identity management Patient behavior, where patients themselves may submit false information in order to access treatment not otherwise available to them. How to avoid and fix mismatched patient records Writing in the Patient Safety and Quality Healthcare journal about the need to create a culture that encourages proactive risk assessment to prevent patient misidentification, Patricia Hughes, Robert Latino and Timothy Kelly say: "Too often, patient identification errors only receive their due attention after a serious mistake occurs, such as one that results in patient harm. These “sentinel events” persist despite numerous technological advances and initiatives to focus attention on the issue... The good news is that patient identification errors are highly preventable with the right identification analyses, workflows, and safeguards in place." Providers need to look at past errors and understand why they happened, implement safeguards such as the Safety Assurance Factors for EHR Resilience (SAFER) checklist, and support staff to use identity matching and verification tools with confidence. Using the right tool for the job Traditional matching tools (such as manual processes, an enterprise master patient index, or a homegrown data matching solution) are no longer sufficient, due to the volume of data to be matched and the varying quality from each source. As patient records are increasingly spread across multiple systems and departments, all with different systems and reliability, providers should explore how Universal Patient Identifiers can build a more connected data ecosystem. This approach creates the most complete view of patients from reliable health, credit, and consumer data sources, and can significantly reduce the challenges arising from mismatched records. For example, Experian Health's Universal Identity Manager platform spans hospitals, health systems and pharmacy organizations, processing more than 550 million health records. By integrating patient information from sources beyond your own enterprise-level data, you'll be able to more accurately match, manage and protect patient data, and root out the causes of misidentification before it even happens. Learn more about patient matching methodologies and how you can improve your data records.
Since the Health Insurance Portability and Accountability Act (HIPAA) heralded the mainstreaming of electronic medical records over two decades ago, healthcare organizations have been slowly making the shift from paper-based patient information to online records. Digital records are more efficient, no doubt, but the transition hasn't been smooth. There are challenges and risks in managing and protecting patient data online. With patient information flowing through multiple systems, devices and facilities, it can be extremely difficult to guarantee the accuracy and freshness of the data. Patients move to a new house, change their name or switch doctors. They may go for years without any interaction with the healthcare system. How can hospitals and other providers be sure that the records they hold are correct for each patient who walks through the door? Incorrect patient matching is a major source of revenue leakage for many providers, with around a third of claims denied on the basis of inaccurate patient identification. When it costs $25 to rework a claim and around $1,000 for each mismatched pair of records, that's a lot of lost revenue. In 2017, the total lost revenue for the average hospital was around $1.5 million. Clearly this a financial headache for providers, but it's also a major patient safety issue. How can patients get the right treatment at the right time, if their physician is looking at an out-of-date record, or worse, the record of a completely different patient? Good health outcomes rely on good data. Matching patient records: the old way Traditionally, healthcare providers might use a patient matching engine (an enterprise master patient index or EMPI) to identify patients and match up their records from different parts of the health system. These work by checking demographic data to compare the details on each record and combine the ones that are likely to refer to the same person. This can usually handle a simple change of name or address, but for anything more complex, it'll likely hit a roadblock. EMPIs are limited by their reliance on a single data source – the data that's visible to them in patient rosters. So what happens if that demographic data is wrong? What if there are typos or spelling mistakes? How do you differentiate between a misspelled name and a completely different person? Any errors in the data are inherited by the matched record, and as a result, EMPIs are often plagued by gaps, mistakes or outdated patient information. A new solution for patient matching: Universal Patient Identifiers A better solution is to combine the information in patient rosters with comprehensive reference and demographic data held by data companies such as Experian, to create a more complete picture of each patient. A universal patient identifier (UPI) can be assigned to each patient and stored in a master identity index, so that whenever and wherever they pop up in the health system, the referential matching technology knows exactly which data is theirs. When health systems implement UPIs, you can connect disparate data sets and have confidence in the fact that every new data point will be instantly checked and updated. You'll know that the Maria currently seeking diabetes treatment in Austin is the same Maria who was treated for asthma in Houston last year. You'll know that Thomas sometimes goes by Tom. You're far less likely to have a patient turn up at the pharmacist and be given a prescription that belongs to another patient with the same name. It's more efficient for clinical and admin staff, and copes more efficiently with patient mobility. Highlighting the importance of reliable patient matching technology, Karly Rowe, Vice President of Identity Management and Fraud Solutions at Experian Health says: "When you send us your patient demographic information, we will provide you with the insights and identifiers that you need to better manage your patient identities. The benefits are improved patient safety, better care coordination, better patient engagement, and overall driving better efficiencies and financial benefits." Not all reference data is created equal Of course, referential matching is only as good as the data it’s trying to match. Some vendors repurpose data matched for credit checks, using patients’ Social Security Numbers. But this data can be equally vulnerable to inaccuracies. Experian offers access to the industry’s broadest and most trustworthy datasets and provides ongoing monitoring to constantly check the accuracy of that data. Our healthcare-specific algorithm is finely tuned to meet the data needs of the healthcare industry, without any risky repurposing. With this in mind, ValleyCare Health System in California used Experian Health's Identity Verification solution to give patient access staff the freshest demographic information, including more accurate names and addresses, leading to a 90% reduction in undelivered mail. Janine Edwards, Patient Access Services Quality Assurance and Training Coordinator at ValleyCare told us: “Since implementing Identity Verification, we’ve improved the accuracy of patient demographic information throughout ValleyCare Health System. More valid data up-front means better revenue cycle results on the backend.” The entire health ecosystem relies on knowing who patients truly are. With the highest quality reference data and powerful unique patient identifiers, Experian goes beyond the limits of conventional methods to give providers the highest confidence in matching and managing patient identities. To start resolving your patient identities today, contact us to see how many duplicate records we can fix.
Challenge: a disconnected healthcare ecosystem Exchanging information across the healthcare ecosystem and achieving interoperability is a goal and challenge all healthcare organizations share. While regulations such as the Affordable Care Act introduced incentives and requirements to drive adoption of electronic medical records, they also highlighted a critical gap in healthcare – a universal patient identifier. Impact: Felt downstream across your enterprise The lack of a universal patient identifier, compounded by data integration challenges and the increasing fluidity of patient data, has created significant issues downstream – billing errors, redundant treatments and testing, HIPAA breaches, incorrect administration of treatments and prescriptions, and more. These issues contribute to the pool of preventable medical errors, which is currently the number three leading cause of death in the United States. Solution: Universal Identity Manager Experian Health’s Universal Identity Manager (UIM) accurately identifies patients and matches records within and across disparate healthcare entities, creating a universal patient identifier to facilitate information exchange. Drawing on more than 40 years of experience managing universal identifiers across various industries and leveraging Experian’s consumer demographic information, the UIM achieves higher match rates than traditional industry solutions. Integration flexibility The UIM is integrated within eCare NEXT®, but also supports various API options. It can also be leveraged in conjunction with biometric and traditional Enterprise Master Patient Index solutions. Batch: Receives, processes, and loads patient demographic information via patient data file. Starting with an initial historical patient data file in batch is recommended. The UIM algorithm is applied to accurately identify duplicate records and assign a Universal Patient Identifier (UPI) that can be used to facilitate information exchange across different healthcare entities. The UIM Batch is currently being offered at no charge to the entire healthcare industry. Duplicate Merge Tool: Provides a workflow tool to address duplicate patient records identified through the UIM batch. The Duplicate Merge Tool encompasses robust access and issue assignment management, configurable merge strategies, customizable search and filter capabilities, comprehensive audit trails, and postback or file output options. Search & Duplicate Medical Record Number (MRN) Alert: Leverages in process scripting to perform a real-time search the UIM as patient demographic information is being entered into an HIS during registration. The optimized patient record for each potential patient match is returned. If the search is circumvented, a Duplicate MRN alert will be created within eCare NEXT and prompt manual user review. Real-time search can also be facilitated through a direct API integration. Experian Single Best Record: Leverages an algorithm to look across all linked patient accounts that exist within a client’s enterprise database and aliases and addresses from Experian’s demographic information and returns back a patient’s single best record by demographic field. Data Analysis: Offers standard, premium, and custom reporting options with detailed data analysis across your patient data file. Learn more about Universal Identity Manager here, or contact your account representative for more information.
