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Published: November 21, 2025 by Adam.Lewis@experian.com, joseph.rodriguez

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5 ways to use social determinants of health data to improve patient outcomes

It’s a puzzle many healthcare providers are still working to solve: when over 80% of health outcomes are influenced by non-medical factors, how can health systems help their patients achieve better outcomes? From affording time off work so they can attend an appointment, to accessing healthy food, childcare or transport, your patients’ ability to engage with and benefit from health services can be heavily influenced by a host of social and economic dynamics Understanding these social determinants of health (SDOH) gives you a more complete picture of your patients’ health and life circumstances. You can anticipate their needs, coordinate their care more effectively, and ultimately give them a better healthcare experience. What’s more, harnessing the right data on SDOH leads to smarter investment and operational decisions, yielding advantages for your health system as a whole. That’s why many providers are starting to use non-medical consumer data in their care management planning. Here we look at some of the top use cases for SDOH data. 5 top use cases for data on social determinants of health     Reduce missed appointments No-shows cost providers an average of $200 each (plus a lot of wasted physician time). Often these are down to lack of access to transportation or childcare. SDOH data can help you anticipate where these challenges might occur, so you can offer additional services like a free shuttle bus or crèche. You’ll make the experience a little easier for the patient, and potentially prevent an unchecked health issue from becoming something more serious.     Save costs from preventable health events Unfortunately, life circumstances can lead to many people using health services in a way that could be avoided. Missed appointments or difficulty following a care plan can lead to escalating medical issues, entailing more treatment and readmissions. Patients might also fall back on emergency services because they can’t easily access appropriate alternatives. SDOH data helps you understand the circumstances that might lead to this kind of patient behavior. For example, if you can spot patients who may be likely to dial 911 because they have no other way to get to the health services they need, you can offer alternatives that avoid an unnecessary visit to the ED. This could help you save up to $2000 per Emergency Department visit and around $10,000 for each hospital stay (which often can’t be fully reimbursed if the patient ends up being readmitted).     Increase care plan compliance A patient’s living situation can often determine whether or not they’ll be able to stick to their care plan. For example, specific dietary advice can be a real challenge for a diabetic patient if they have a limited food budget, lack of time to shop and prepare food, or a plain lack of options of where to buy it. An SDOH needs assessment can flag this in advance so clinicians can help patients find a plan that will work for them. Similarly, pharmacies might use consumer data to help minimize abandoned prescriptions or situations where a patient fails to follow dosage directions, which is estimated to cost the industry $290 billion per year.     Save administrative and clinical time Analyzing consumer data can help your operations run more efficiently, which benefits your patients through well-coordinated care, timely information sharing and prompt referrals. Many providers are taking advantage of automated solutions for leveraging SDOH data, saving massive amounts of administrative time for care managers by pre-populating patient data and automating SDOH needs assessments. Consumer insights solutions like Experian Health’s ConsumerView analytics can optimize operational efficiencies and ensure your care managers use their time well.     Investing in relevant community health programs One of the most impactful use cases for SDOH data is to gain a richer understanding of your member base, so you can invest in the most relevant community health programs. For example, a 2018 pilot project by Atrium Health in North Carolina screened for food insecurity in older patients who may have been at risk of readmission. Emergency food services were provided where needed, and as a result, readmissions dropped by 60%. Your purchasing power can also be a force for change. The Cleveland Clinic outsourced its laundry service to Evergreen Cooperative Laundry, a local collaborative working to combat poverty. Ralph Turner, executive director of patient support services at the Cleveland Clinic says: “Establishing the foundation for people to stabilize their incomes and become part owners in a business… in itself generates health and wellbeing in our community.” Leveraging consumer data to improve patient outcomes These examples show some of the varied ways screening for social determinants of health can open the door to understanding your patients and creating truly person-centered care services. Who knows what opportunities are hidden in the SDOH data for your patient population? Are there gaps in your data? Could you combine different data sets for a fuller picture? What exactly is your consumer data telling you, and how do you turn it into meaningful management decisions? At Experian Health, we have comprehensive data assets and analytics platforms to help you answer these questions and more, and leverage consumer data most effectively.

Jul 09,2019 by Experian Health

7 common causes of patient misidentification – and how to solve them

Patient identity is the backbone of the healthcare system. However, when patient records are mismatched, overlaid, or incomplete, it can lead to serious and wide-ranging consequences. Patients may receive incorrect drugs or treatments, while clinical staff face increased workloads trying to locate missing information and overcome delays. Billing teams may issue statements with incorrect amounts or send them to the wrong address. Moreover, data breaches expose providers to both financial and legal vulnerabilities. It's a wicked problem. And it's an expensive one – a survey by Patient ID Now found that healthcare organizations spend an average of $1.3 million per year attempting to resolve the issues. Identity management involves multiple individuals, teams and systems that are constantly changing. Solutions can be hard to pin down in such a dynamic environment. While there's no single cause, understanding the contributing factors is the key to preventing mismatched patient records to ensure safe, effective and efficient patient care. Common causes of mismatched patient records Misidentification occurs for several reasons. Some of the most common operational pitfalls include the following: The patient is linked to the wrong record during registration. Queries result in multiple or duplicate patient records, or no record at all. Time pressure means staff are forced to work quickly and may miss important details. Insufficient training and awareness mean staff aren't following identity management protocols properly (in one evaluation of 60 patient transfers, not one transfer was carried out according to the hospital's patient identification policy). Identity management protocols are non-existent or substandard. Inefficient information-sharing between departments leads to gaps or duplication in patient records with no easy way to verify patient details. Over-reliance on DIY solutions fails to deliver robust, lasting results. Human error – staff may accidentally enter the wrong details into the patient's record. Beyond the operational factors, patients themselves play a role in misidentification. Usually this is inadvertent: they may give a slightly different version of their name or address than the one listed in their record. Sometimes it is deliberate, when patients submit false information to access treatment or medication that may be otherwise unavailable to them. Most errors do not occur because providers or patients are being careless. Patient data is complex and changing: people change their name, address or contact details many individuals share the same names and birthdates (one Houston-based health system reported 2833 patients called Maria Garcia, 528 of whom had the same date of birth) data can be formatted in different ways, so one person's details look like they belong to different people. To add to the challenge, the volume of data being created, accessed and exchanged within and between health systems is increasing exponentially, complicated by greater use of remote devices. It's no surprise that organizations have an average of 10 members of staff devoted to patient identity resolution. How to avoid and fix mismatched patient records The most effective way to manage and match patient data would be with a national unique patient identifier. This would assign a bespoke code to each patient that would follow them throughout their healthcare journey, ensuring the integrity and security of their data. Healthcare organizations (including Experian Health) have advocated for such an approach for many years, though federal funding currently remains out of reach. In the absence of a national UPI, healthcare organizations must rely on alternative solutions. Many use traditional matching tools, such as an enterprise-level master patient index or manual verification processes. However, these tools are often a feeble response to the challenges associated with the “4 Vs” of big data – volume, variety, velocity and veracity – which make patient records so difficult to manage. Experian Health's Patient Identity Management solutions help providers build a more connected data ecosystem, using universal patient identifiers. This approach creates the most complete view of patients from reliable health, credit and consumer data sources, to reduce the risk of mismatched records. Universal Identity Manager spans hospitals, health systems and pharmacy organizations, processing more than 550 million health records. Integrating patient information from sources beyond an organization's own enterprise-level data makes it possible to accurately match, manage and protect patient data, and root out the causes of misidentification before it occurs. Prevent patient misidentification with proactive identity management solutions According to the Patient ID Now survey, just under half of healthcare organizations are planning to implement new identity management processes and solutions in the next 12 months. Alongside a more robust software solution, providers should also cultivate a culture that encourages proactive risk assessment, rather than waiting until after a serious mistake occurs before acting. With the right workflows, training and identity matching software in place, patient misidentification is preventable. Learn more about how to address the most common causes of patient misidentification with patient identity management solutions.

Jul 02,2019 by Experian Health

The new and improved way to match patient data

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.

Jun 25,2019 by

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How healthcare providers can prepare for flu season

Flu season is rapidly approaching, which means healthcare providers must ramp up their preparedness efforts. What can they do to ensure they're ready to meet the seasonal surge in demand? Recent data from the southern hemisphere, often a forecast of what's to come in the US, suggests that this year's flu season will likely be similar to last year. The CDC warns that while “we cannot predict what will happen in the United States this upcoming season, we know that flu has the potential to cause significant illness, hospitalizations and deaths.” With hundreds of thousands of people hospitalized each year, providers must find ways to prepare for rising patient volumes and manage the risk of infection among patients and staff to keep services running smoothly. Making it as easy as possible for patients to book and attend vaccination appointments will be critical. Digital patient access will be the key to streamlining patient care. Using digital tools to prepare for flu season 2024-25 As services face increasing pressure, digital and automated tools can help healthcare providers prepare for flu season by easing staff burdens. More patients mean more appointments to schedule, more registration forms to fill out and more people in waiting rooms. Opening the digital front door helps manage high volumes by allowing patients to complete more access tasks online and prevent bottlenecks. Here are three strategies to implement to support staff and patients through a challenging season: 1. Manage infection risk with online self-scheduling An online patient scheduling platform has two clear benefits – it relieves pressure on staff during busy times and gives providers control over patient flow. Fewer calls need to be made by call center agents. No-shows are less likely because patients can book, reschedule and cancel appointments, and receive automated reminders, which makes the best use of physicians' time. Online scheduling also plays a part in infection control as providers can incorporate screening protocols to identify patients with symptoms of COVID-19 or flu, and manage their onward care pathway appropriately. Empowering consumers to take control of their healthcare with a patient scheduling system might encourage vaccine registrations, which could help reduce the burden on health services when staffing shortages remain stubbornly high. What's more, patients now expect the flexibility and convenience of scheduling appointments at a time and place that suits them. Experian Health's 2024 State of Patient Access survey found that six in ten patients want more digital tools to manage their healthcare. This indicates a growing demand for easy, simple and transparent processes. Watch the webinar: See how IU Health used self-scheduling to manage increasing patient volumes with less staff – and gain insights on using digital scheduling to scale operations beyond flu season. 2. Offer mobile registration to manage demand Should patient volumes increase, patient access staff will be under even more pressure than usual. Anything that can reduce the administrative burden will be a win. Experian Health's Registration Accelerator allows patients to complete intake forms and insurance checks through their mobile devices before stepping through the door. Their details can be pre-filled automatically, reducing the risk of error. This creates a quicker, more efficient patient registration experience that minimizes issues for staff to resolve. Mobile-enabled registration is also far more appealing for patients, who'd rather complete registration from the comfort of home than sit in a waiting room filling out lengthy forms. Plus, it reduces in-person interactions, thus minimizing exposure to infection among staff and patients. Given that 89% of patients say digital or paperless pre-registration is important to them, providers that offer online patient intake solutions will have a clear advantage in attracting potential new customers during times of high demand. In practice: See how West Tennessee Healthcare replaced clipboards with clicks with Registration Accelerator. 3. Reduce no-shows and increase engagement with automated patient outreach Providers must communicate proactively with patients to keep them in the loop as the situation evolves. With an open rate of 98%, text messages are a direct and convenient way to communicate quickly with patients. Automated patient outreach can increase vaccination rates by notifying patients about flu shot availability and offering a direct link to schedule an appointment. Automated reminders reduce no-show rates and help ensure no slot goes unused as patient volumes increase. Messages can also include tailored instructions for specific at-risk groups to emphasize the importance of timely vaccination and provide directions. This approach helps manage patient flow, increase patient satisfaction and ensure providers are prepared for the seasonal surge. Contact Experian Health today to learn how digital patient access solutions can help healthcare providers prepare for flu season in 2024. Learn more Contact us

Oct 22,2024 by Experian Health

Finding insurance coverage without SSN

Finding previously unidentified insurance coverage is a high-stakes treasure hunt for healthcare providers. If patients are unaware of active coverage or eligibility for Medicare and Medicaid, they will be left footing a bill that could have been covered by a payer. If they can't afford it, their account may end up being written off to bad debt, and providers will miss out on reimbursement opportunities, leaving millions of revenue dollars on the table. Hunting down missing or forgotten coverage on the spot is a challenge for providers, particularly if the patient does not have a Social Security Numbers (SSN) or the payers in question do not use SSNs to verify eligibility. It's a problem worth solving though and can improve the patient financial experience while preventing avoidable revenue loss. The shift away from Social Security Numbers Historically, providers have used demographic information like Social Security Numbers (SSN) to verify patient identities and locate coverage information. Without a unique patient identifier, SSNs were a stable way to link a person's health information across multiple health systems and payers. However, the use of SSNs for identification and verification purposes has dropped in recent years due to concerns about patient privacy and the risk of identity theft: SSNs give identity thieves a mechanism to assume a person's identity and access financial information and health records illegally. Moreover, SSNs are unreliable identifiers, as it is possible for more than one person to use the same number. Recognizing the need for more secure and trustworthy identifiers, many payers have moved away from SSNs. In 2018, the Centers for Medicare & Medicaid Services began the process to remove SSN-based Health Insurance Claim Numbers (HICNs) from Medicare cards, replacing them with Medicare Beneficiary Identifiers (MBIs). These are now the primary means of checking a person's identity for Medicare transactions like billing, eligibility status and claim status. Similarly, many health plans also shifted away from using SSNs as primary identifiers, instead opting for member IDs or other secure identifiers to verify and track coverage for their members. Find billable coverage with historical data With demographic searches on the decline, providers need a more efficient and reliable way to search for coverage. As a data-driven company with a historical repository of claims data, Experian Health is uniquely positioned to help providers search for coverage. Combining search best practices, multiple proprietary databases and historical information, Experian Health's Coverage Discovery® locates patients' billable commercial insurances that were unknown or forgotten, and combs through Medicare and Medicaid coverage. This flags accounts that may have been destined as a write-off or charity and maximizes reimbursement revenue by identifying primary, secondary and tertiary coverage. Not only do fewer accounts go to bad-debt collections, but providers can automate the self-pay scrubbing process. In 2022, Coverage Discovery tracked down billable coverage in almost 30% of self-pay accounts and found more than $64.6 billion in corresponding charges. Closing the coverage gap caused by Medicaid disenrollment Coverage Discovery offers another important benefit: helping providers offer additional support to patients on lower incomes who find themselves without Medicaid, at least for a short time, following the end of continuous enrollment. As of July 2023, more than 1.6 million Medicaid enrollees were disenrolled. Providers can use the tool to confirm whether Medicaid coverage remains in place, or to uncover any additional billable government or commercial insurance that could give patients peace of mind. Patient Financial Clearance can also help screen patients for Medicaid eligibility before or at the point of service, then route them to the Medicaid Enrollment team or auto-enroll them in charity care if appropriate. Case study: Read the case study to find out how Luminis Health used Coverage Discovery to locate $240k in billable coverage each month. Leverage technology to locate unidentified coverage Thanks to advanced tools like Coverage Discovery and Patient Financial Clearance, it's much easier for providers to locate alternative coverage options for patients, using multiple sources of data. These tools leverage secure identifiers and comprehensive searches across databases, allowing providers to reclaim revenue that may otherwise go unclaimed, and reassuring patients that they won't be left holding an unexpected bill. Find out more about how Coverage Discovery can help find previously unidentified coverage and reduce bad debt.

Sep 13,2023 by Experian Health

6 effective revenue cycle strategies for healthcare providers

Compared to other industries, healthcare tends to be more resilient to economic turbulence. But the weight of the pandemic, labor shortages, rising costs and increasingly complex reimbursement structures are squeezing hospital margins. A Kaufman Hall National Hospital Flash Report in July 2023 found that many hospitals underperformed, and the gap between high-performing hospitals and those struggling continues to widen. Providers must find new and effective ways to improve revenue cycle management, should any new uncertainties emerge. With pressure mounting to increase efficiency and reduce expenses, more providers are turning to automation and artificial intelligence (AI) to eliminate unnecessary manual work and optimize revenue cycle management processes. For example, Stanford Health Care leveraged automation to reduce their cost to collect. Banner Health improved patient collections with transparent price estimates. Schneck Medical Center zeroed in on claims management and incorporated AI to reduce denials. In the face of a cashflow crunch, healthcare providers increasingly turn to data-driven revenue cycle management (RCM) strategies that span the entire patient journey. This article lists six of the most effective income-generating digital RCM strategies that providers are using to maximize profits. Building blocks of a healthy revenue cycle At its core, revenue cycle management is about ensuring providers are fully reimbursed for the care they provide. The true ROI is much broader – efficient financial and administrative processes for patient billing, claims management and collections contribute to better care, satisfied patients, high-performing staff and good financial health. Realizing these benefits calls for revenue cycle processes built on three principles: Efficiency – streamlining processes to reduce resource utilization across the entire billing cycle Accuracy – ensuring all patient and claims data is correct and complete to avoid denials and delays Transparency – giving patients, providers and payers relevant and timely information, so they can act with confidence in each financial transaction. To achieve this, providers are moving away from slow, costly manual systems. Digital RCM tools are becoming non-negotiable. 6 data-driven strategies for effective revenue cycle management 1. Increase efficiency in patient access Revenue cycle management starts when the patient books their appointment and ends when the final bills are settled. Claim denials and delayed payments often arise from data errors and miscommunications in the early stages of the patient journey, which means patient scheduling and registration processes are critical to streamline RCM. With automated, data-driven patient access tools, providers can simplify tasks across the patient journey, so patients can move from one stage to the next with as little friction as possible. Fewer errors mean delays and disappointment are more easily avoided. Automated registration and online self-scheduling can also lead to savings through more efficient use of staff time and reducing the number of appointment no-shows. Experian Health clients find that online tools allow them to make relatively minor adjustments to their workflows, with a major impact on productivity. 2. Deliver accurate and timely patient billing Patients want the payment process to be as painless as possible. In multiple surveys, Experian Health has found that patients are worried about the cost of care, while 63% of providers believe patients frequently postpone care because of cost concerns. Clear, comprehensive estimates, billing and collections practices can make it easier for patients to navigate their financial journey. And with the end of continuous Medicaid enrollment, it's likely that more patients will find themselves unsure of their coverage situation, and in need of greater support to manage the financial process. For Stanford Health, the key to improving revenue cycle management centered around patient billing and collections. To achieve the dual goals of improving the patient experience and increasing collections, they used data-driven insights and automation to remove uncollectible accounts, prioritize accounts with a high propensity to pay, find missing coverage and reduce the manual workload. Collections Optimization Manager helped Stanford Health identify the best possible collections strategy, by scoring and segmenting patient accounts with the highest propensity to pay. Coverage Discovery® supplemented this strategy by checking for any unidentified primary, secondary or tertiary coverages that can potentially reduce self-pay amounts and avoidable charity designations. As a result, Stanford Health achieved a $4.1m increase in average monthly payments and efficiency gains of $109k per month. 3. Provide transparent price estimates Experian Health's State of Patient Access 2023 report suggests that fewer than three in ten patients know how much their care will cost in advance, while nine in ten consider it important. Delivering accurate pre-care estimates to help patients plan for bills could therefore be an easy win to improve the patient experience and recoup more revenue. Banner Health used Patient Estimates as part of a wider strategy to improve patient collections. This solution generates detailed estimates of the patient's financial responsibility along with recommendations for payment plans and financial assistance, if appropriate. Listen in as Becky Peters, Executive Director of Patient Access at Banner Health, talks about streamlining the patient registration process and improving patient access with pre-care estimates. 4. Effective claims management Perhaps the biggest opportunity to improve revenue cycle performance lies in claims and denial management, which accounts for a major proportion of wasted healthcare dollars. Summit Medical Group Oregon–BMC paired Enhanced Claim Status with Claim Scrubber to submit cleaner claims the first time and avoid lost revenue. These tools help providers submit accurate claims and monitor claim status to prevent denials and resolve issues quickly. For Summit Medical Group, this led to a 92% primary clean claims rate, and a reduction in accounts receivable days and volume by 15%. Experian Health also offers a new solution that leverages machine learning and artificial intelligence for predictive reimbursement. AI Advantage™ uses AI to predict and prevent claim denials based on historical claims data. In the first six months, this solution helped Schneck achieve a 4.6% average monthly decrease in denials and decreased time spent on denials by 4x. 5. Easy ways to pay (plus clear pricing and payment policies) How easy is it for patients to pay? This simple but important question points to another vital element of effective revenue cycle management. A compassionate and convenient patient payment experience that matches consumer experience in other industries can encourage earlier payments. Easy digital options are especially important for millennial and younger patients: research by Experian Health and PYMNTS found that 60% of younger patients are looking for digital services. Experian Health's patient-friendly payment tools are designed to help patients navigate their financial responsibilities with confidence and ease. For example, PaymentSafe® allows providers to securely collect payments anytime, anywhere, including mobile payments and patient portals. 6. Operational efficiency with automation, data and analytics RCM processes generate vast amounts of data, providing valuable insights into the organization's operational performance, revenue trends and areas for improvement. Being able to parse and translate this data into actionable insights is essential to determine the right strategies to pursue to optimize financial performance. But this in itself can be a major lift. Revenue Cycle Analytics is a web-based tool that breaks down data into actionable insights across billing, reimbursement and payer performance, presenting KPI data via comprehensive dashboards. Effective revenue cycle management strategies from start to end From labor shortages to rising costs, healthcare providers are finding creative ways to manage cash flow. While each healthcare organization’s needs and goals are different, understanding these six key strategies of successful revenue cycle management can help hospitals manage their revenue cycles more effectively and efficiently, while responding to new uncertainties. Find out more about how Experian Health helps healthcare organizations leverage automation and AI to streamline processes and boost revenue cycle performance.

Aug 16,2023 by Experian Health

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