Tag: value-based care

Could common revenue cycle management (RCM) myths be preventing healthcare organizations from getting paid in full? Does what constituted best practice a few years back still apply to revenue cycle operations today? Many providers are embracing new technology to strengthen their RCM processes, using automations and software to create more accurate and efficient billing and claims management workflows. But if these processes are built on shaky assumptions, the results will be sub-optimal. As year-end financial reviews get under way, there is a prime opportunity to re-evaluate some long-standing beliefs about billing, collections and payments that, if not set straight, could limit financial performance in the year ahead. This article examines four of the most common revenue cycle myths and considers what providers can do to make financial growth a reality in 2024. Revenue Cycle Myth 1: All patients are equally likely to pay Reality: No two patients are alike – whether in their medical needs or financial circumstances. Providers know this, yet many rely on revenue cycle management solutions that lean toward a one-size-fits-all approach to patient payments. Instead, providers should consider RCM tools that use data and analytics to segment patients according to their individual financial situation, to create a more personalized and proactive approach to collections. This should take account of both the patient's ability to pay (i.e., whether they can afford their bills), and their likelihood to pay promptly, which may be enhanced by offering payment options that are convenient and aligned to their personal preferences. Collections Optimization Manager analyzes patients' individual payment history and demographic information so their accounts can be routed to the most appropriate collections pathway from the start. Patients that are likely to pay quickly can be sent billing information automatically and presented with self-service payment options. Alongside this, Patient Financial Clearance pulls together credit and non-credit data to help providers identify patients who may need a little more guidance and connect them to suitable payment plans. It catches any individuals who may be eligible for Medicaid or charity support. Staff get accurate, at-a-glance data to help them have sensitive financial conversations with patients, and can avoid losing time chasing collections from patients who would never have been able to pay. Case study: See how Stanford Health Care improved collections with a tailored, patient-focused approach to healthcare collections. Myth 2: It's hard to have meaningful pre-service financial conversations with patients Reality: Contrary to popular belief, most patients are receptive, and even eager, to have financial discussions with their provider as soon as possible. Doing so need not be challenging. In the past, providers may have worried that broaching the money question could deter patients from seeking necessary care, or simply not prioritized such discussions. Billing and insurance can also be highly complex, which may lead staff to assume that patients would find conversations about these issues to be confusing or overwhelming. But it is for these exact reasons that providers should have financial discussions with patients as early as possible. Experian Health's 2023 State of Patient Access survey found that almost 90% of patients wanted upfront pricing estimates so they could plan ahead for their financial obligations – yet less than a third received one. Tools like Patient Payment Estimates and Patient Financial Advisor can calculate cost estimates, taking account of the patient's claim history, deductibles and other insurance information, and automatically send these to patients before treatment so they know what to expect. These can also be combined with quick payment links so bills can be cleared before care. Giving patients consistent information through whichever digital channel they prefer means they will be better positioned to make informed decisions and discuss their situation with patient access staff if necessary. When patients are better informed and supported, they're also less likely to end up postponing care due to cost concerns. And with the same accurate data at their fingertips, patient access staff can serve as financial concierges, helping patients to understand coverage and copayments and check eligibility for relevant financial assistance programs. In addition to user-friendly data tools, providers should consider whether staff would benefit from additional training to bolster their confidence in leading compassionate financial conversations. Myth 3: It's impossible to know what patients owe across a system with a single look-up Reality: Thanks to data analytics and digital payment technology, it is now pretty straightforward to consolidate a patient's outstanding balance information from across an entire health system, and debunks common revenue cycle myths. Patient access staff can view a comprehensive summary of a patient's insurance status, estimated liability and open balances from multiple providers, enabling them to have meaningful financial conversations with patients. Even if these discussions do not lead to immediate payment, they can still act as a reminder to nudge the patient to act soon, thus accelerating the payment process. Selecting RCM tools from a single vendor makes it easier to integrate data from multiple workflows and generate a unified view of what a patient owes. When systems talk to each other, it's possible for a single tool to leverage the data and create a better experience for patients and staff. For example, PaymentSafe® automatically brings together data gathered throughout the revenue cycle to streamline what was previously a disjointed and time-consuming process. With point-to-point encryption, it accepts secure payments at any point in the patient's journey, using cash, check, card payments and recurring billing, through a single web-based application. Myth 4: Revenue cycle management is “set-and-forget” Reality: Revenue cycle managers may dream of setting up a system once and then forgetting about it, but the reality is that managing billing, claims and collections is an ongoing and evolving process that needs constant attention. Healthcare organizations must regularly review and adjust their RCM strategies to prevent missed revenue opportunities, manage compliance risks and promote operational efficiencies. That said, data analytics and automated revenue cycle management tools do make it far easier for providers to stay on top of RCM demands. These tools help providers with everything from monitoring payer policy changes and identifying billing errors to personalizing patient communications and generating monitoring reports. Artificial intelligence takes it a step further, for example, by preventing and predicting claim denials. In this way, these tools reduce the need for extensive staff input, so staff can spend more time focusing on the issues that need more human attention. With up-to-the-minute reports covering multiple RCM processes, staff also have the information they need to optimize performance and find opportunities to boost reimbursement that may have been previously overlooked. So, while RCM is not quite a “set-and-forget” process, automations and analytics can simplify it significantly, so it's less labor-intensive for staff and more efficient overall. Debunk revenue cycle myths and proactively challenge assumptions to increase profitability Debunking these revenue cycle myths is simple and achievable with tools that integrate a patient's clinical and financial data for a fuller picture of what that patient needs. This is crucial as changing consumer expectations, economic drivers, and new technology reshape how patients, providers and payers interact with one another. Checking underlying assumptions in any RCM process is essential to root out potential misunderstandings and outdated thinking. Not doing so leaves providers vulnerable to inaccurate financial projections, mismatched strategies and poor patient experiences. See how Experian Health's industry-leading Revenue Cycle Management Solutions make streamlined billing and collections a reality.

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

In the decade since the Affordable Care Act sparked the transition toward value-based care and pay-for-performance care models, clinical services have been transformed by advances in diagnostics, medical devices and digital technology. However, despite a commitment to improving care quality and patient experiences, the healthcare industry still struggles to influence the factors that have the greatest impact on patient outcomes – the social determinants of health (SDOH). It’s now well-established that clinical factors have a relatively small impact on a person’s health-related quality of life. As little as 20% of the factors that influence health outcomes are attributable to clinical care. The remaining 80% includes social, economic and environmental factors – such as access to safe and clean housing, healthy food, education and transportation. Healthcare providers cannot be expected to solve these challenges alone. That said, providers will benefit from developing plans and investing in systems that foster awareness of the social determinants of health that impact their communities. This will help enable the delivery of the proactive and coordinated services patients need to live healthier lives. The pandemic intensified many of the socio-economic barriers patients face when accessing care, medication, housing and food. It forced sudden changes to the way care was delivered, making it harder for healthcare organizations to sustain high-quality services. When overwhelmed hospitals just needed to get through the day, value-based care took a hit. To support underserved communities, healthcare organizations need reliable insights into their patients’ evolving life circumstances and socio-economic challenges. SDOH data can help providers identify the right strategies to serve their patient population in the most effective way. SDOH should be at the heart of patient-centric services. Healthcare organizations that prioritize the use of SDOH data are strengthening their ability to deliver value-based care. How has the pandemic affected SDOH and value-based care? Value-based care and pay-for-performance models were gaining traction just before the pandemic, and many providers were agile enough to respond quickly to the pandemic with telehealth and other remote services. But against a tsunami of COVID-19 cases, tests and vaccination programs, reimbursement models based on quality measures such as effectiveness, efficiency and timeliness proved fragile in the midst of an emergency. As is often the case, the worst effects of the pandemic were felt most acutely by marginalized and economically vulnerable groups. For example, groups with less stable employment were less likely to have access to sick leave or remote working opportunities, putting them at greater risk of catching the virus. Many community programs were put on hold, with consequences for the individuals who relied on them for food, support, and company. Insights on the social determinants of health can help providers segment vulnerable populations that need extra assistance to take control of their health. Once these populations are identified at the patient level with insights driving one’s unique SDOH risks, providers can develop strategies to ensure the right help is given at the right time. They can offer targeted outreach to ensure patients are able to adhere to care plans and access health checks, even take their medication as prescribed. This can reduce the risk of readmission, minimize hospitalizations, and keep healthcare costs down for both patients and providers. To supplement reliance on expensive and time-consuming patient surveys (that often leave out the “why” of a patient’s circumstances), Experian Health’s SDOH solutions combine analytical expertise, machine learning and proprietary data to generate actionable recommendations on the best way to address barriers to care, medication, housing and food. Combine SDOH and consumer data to personalize patient outreach The key to successful value-based and pay-for-performance care models is treating the patient, not just the disease. Data on SDOH allows providers to offer a more personalized healthcare experience, which is even more powerful when combined with consumer data. ConsumerView pools data on patient interests, psychographics, behavioral insights and broader lifestyle insights to give providers a 360-degree view of their patients. With this data, providers can offer relevant and timely advice to help patients overcome potential obstacles to attending appointments and complying with their care plan, such as information about transportation or childcare. It can be used to personalize healthcare communications too. Rather than blasting patients with one-size-fits-all healthcare information, communications can be tailored to patients’ preferred time and format, so they’re most likely to engage with the message. Making value-based care a reality starts with knowing who your patients are and what’s stopping them from getting the care they need. Find out how Experian Health’s Social Determinants of Health turn-key solutions can give your organization the insights needed to develop resilient and responsive models of care. With these tools, your organization can lay the groundwork to improve patient outcomes, regardless of the challenges that lie ahead.

More than 40% of patients surveyed skipped medical care in the early months of the pandemic, according to a recent study by researchers at the Johns Hopkins Bloomberg School of Public Health. Of those who needed care, 58% missed scheduled preventive care. Similar trends are observed in cancer screening, with appointments for breast, colorectal, and cervical cancers – in some cases dropping by around 80%-90% in March and April 2020, compared to 2019. Diagnostic testing for several cancers also plummeted, as did HPV vaccinations.   These trends aren’t unexpected: COVID-19 forced medical facilities to cancel or scale back services, while fear of infection and financial worries kept many patients away. But with most services operating at near-normal capacity again, and the vaccine program tipping the balance in favor of rescheduling care, preventative services are still lagging. Many patients remain reluctant to attend screening and wellness visits, despite the health risks associated with delaying care for potentially serious conditions.   Re-establishing a preventive care routine is essential. For patients, getting back on track with earlier diagnosis means more timely treatment and a better chance of recovery. It promises a better financial outlook for patients, payers, and providers alike, who all suffer higher costs when medical conditions escalate. And providers want to get their day-to-day business back on track to smooth out what has been a heavily disrupted workflow and revenue cycle over the last year.   Providers must reassure patients that returning to care is safe and necessary. Compassionate and personalized support will be key to making sure patients get the right care at the right time. Automated patient outreach strategies built on comprehensive patient data can help reverse the trends in forgone care.   How can data and automation support personalized patient outreach?   Kelly E. Anderson, one of the authors of the John Hopkins study, suggests that “physicians can mitigate some of the long-term harmful effects of this forgone care by proactively reaching out to patients who missed care, to try and reschedule the care either in-person or through telehealth.”   Automated outreach combined with easy patient scheduling platforms can help providers identify and invite healthcare consumers to get much-needed preventive care appointments back on track. For example:   Automation makes scheduling easy for patients and efficient for providers Online scheduling platforms allow patients to reschedule missed appointments at a time and place that suits them. A targeted outreach list of those patients most likely to need screening (for example, based on age, lifestyle, or health risk factors) can be used to send automated booking prompts and reminders by text message or interactive voice response (IVR). It’s simple and convenient for patients and reduces pressure on call center staff. Plus, it generates a wealth of useful real-time data on response rates to pinpoint areas for improvement.   With the right data, providers can direct patients to appropriate services For patients that can’t or prefer not to attend their usual healthcare facilities, directing them to telehealth services or alternative venues might be a good option. Similarly, patients with a medical or family history that suggests a higher risk of cancer ought to be prioritized for screening. But you can only do this when you know who those patients are, and what exactly they need. Social determinants of health can be a powerful tool to help providers determine a holistic view of patients’ clinical and non-clinical needs.   ConsumerView collates consumer data from over 300 million individuals, across multiple demographic, psychographic and behavioral attributes, so providers know more about the lifestyles and interests to be able to effectively resonate and engage. Data helps create a better patient financial experience Since many patients are worried about the loss of health insurance, outreach efforts might also involve pointing patients towards appropriate financial support. When socio-economic data reveals that a patient is struggling financially, providers can quickly check for missing coverage, offer tailored payment plans, and help obtain charity care if required.   Automated outreach can also deliver the upfront information about healthcare pricing that so many patients demand, and help staff collect faster patient payments by providing easy payment links through text and IVR campaigns. Consumer data can inform compassionate patient communications With the majority of patients opting out of scheduled appointments because of concerns about COVID-19 exposure, any invitation to reschedule care should offer plenty of reassurance about hygiene protocols. Some patients may need a gentle nudge to reschedule appointments, so if you can help them feel comfortable visiting facilities and tell them what to expect, they’ll be more likely to return.   Offering additional reassurance and support to communities who are traditionally underserved by healthcare services, or who have been harder hit by COVID-19, will be even more important. Best contact information, social determinants of health insight and ethnicity insight can support efforts to promote screening to groups who may face additional barriers to care.   With the right data, you can go beyond compassionate messages and choose an appropriate communications channel that’s the right fit for the consumer, too.   One thing that hasn’t been hindered by COVID-19 is the trend toward healthcare consumerism. Patients have a choice about which provider they use. Proactively supporting patients to catch up on missed care is a surefire way for providers to stand out as the easy choice.  

Knowing that clinical care accounts for only a portion of health outcomes, understanding how patients are affected by social determinants of health (SDOH) continues to gain attention as a critical factor in care delivery. COVID-19 has thrust the issue even further into the spotlight, with socially and economically vulnerable groups hardest hit by the pandemic. At the same time, the expansion of telehealth services over the last year has benefited some marginalized groups, who may feel uncomfortable visiting health facilities or may, for example, sometimes face challenges finding transportation to and from their visits. What’s clear is that when it comes to mitigating the impact of COVID-19’s lingering effects, patient identities based on clinical data alone simply won’t cut it. Providers need a holistic view of patients – both clinical and non-clinical.   Many providers do not have updated contact information for the patients they want to engage, in addition to missing patient-level insights such as housing, food, access to technology, transportation and financial stability data that could help better engage patients. Given the many complicated personal and structural barriers that may exist to accessing healthcare, providers lacking SDOH data in patients’ records are risking avoidable readmissions, unnecessary ED visits, poor care quality ratings and denied reimbursements.   Understanding patient needs and preferences via lifestyle factors – like occupation and technological knowledge – helps providers improve engagement, outreach and access. The results can be game-changing.   The benefits of an enriched, more robust patient record with SDOH Improved certainty of patient needs to achieve healthy outcomes Whether it’s missed appointments, lack of engagement, deferred treatment, or failure to comply with care instructions – if SDOH is the cause, providers need to know.  An enriched patient record that includes clearly defined SDOH risks and insights to those risks is invaluable.   For example, if a patient record includes recommended engagement strategies suggesting medication delivery, or ensuring medications are with the patient at discharge, due to the patient’s difficulty accessing a pharmacy, negative outcome risk is reduced. Significant provider blind spots that might otherwise interfere with desired health outcomes can be eliminated or extensively mitigated with access to this kind of data.   Consumer data gives additional insight useful in risk stratification efforts, allowing care teams to get granular and proactive if, for example, a patient’s lifestyle makes office-hour calls impossible, or if a lack of transportation requires the patient be informed that telehealth is available. Additionally, the data can flag if the patient prefers reminders by text, voice message or email. These considerations make a difference; 80-90% of modifiable contributors to healthy outcomes for a population are regularly attributed to the social, economic and environmental factors that comprise SDOH.   Connecting the dots can improve care coordination SDOH data doesn’t just help flag general access issues; it can also help providers dig into specific challenges that may warrant referrals to community programs or additional staffing support. SDOH data may lead to the discovery that a patient is struggling to access healthy, affordable food and prompt a conversation about getting referred to an in-network nutritionist or local food partnership.   Patient-specific information can be merged with consumer databases covering a range of socio-economic data, initiating proactive conversations with patients that can solve non-clinical gaps in care.   Clarity of the “why” behind patient insights, for better communication and engagement Someone experiencing financial instability as a result of pandemic-related unemployment will expect a different financial conversation than someone who has lived in poverty for their whole life. Further, two patients with high readmission risk can have completely different social determinants of health impacting that risk.  Knowing that patients are affected by SDOH is only one piece of the puzzle. Understanding the bigger picture helps create a whole picture and enables personalized, sensitive, and helpful communication.   A turn-key SDOH solution that helps define the “why” behind the score avoids analysis paralysis and enables a quick, effective engagement strategy based on what really matters to patients. Supplementing patient surveys with consumer data is also important, as it provides deeper insights and recommendations for engagement strategies.   Of course, a connected system only works when the patient identity is accurate and tracks them from service to service. With a universal identity manager, you can have confidence that your teams are all working from a complete, current and insights-rich view of each patient.   Find out more about how Experian Health can help your organization make sense of SDOH data for better patient identity management and a more personalized patient experience.  

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

When it comes to value-based care, there’s really just one measure that matters: patient satisfaction. As CMS incentivizes providers to help patients find better care, improve population health and lower healthcare costs, more top health systems are seeing patient engagement as the path to value-over-volume success. Patients are finding themselves footing more of the bill for medical expenses, so elevating the patient experience is essential. If they’re not satisfied, they’ll simply take their dollars elsewhere – not what your CFO wants to hear. Helping patients feel more engaged in their health creates a more satisfactory experience, and in turn, boosts patient loyalty. And what’s more, by giving them opportunity to make informed decisions about their care, you can also reduce preventable admissions, avoid no-shows and fix the revenue leaks in patient collections. It’s beneficial for everyone. Here are four strategies to help you boost patient engagement and create a more consumer-friendly experience in your organization. 4 ways to boost patient engagement 1. Use segmentation and customization The first route to consumer-friendly care is about treating each patient as an individual. With advances in data analytics, it’s now possible to group your patients according to risk (whether that’s risk of a particular disease, exposure to a social determinant of health, or likelihood of non-attendance at follow-up). This allows you to be more targeted in your marketing efforts, provide patients with information that’s more relevant to them, and help each patient move to the next stage of their healthcare journey. Stanford Medical School sees this data transformation as central to its vision of “‘Precision Health’ – a more preventive, predictive, personalized and precise” approach to healthcare. Analytics give you a wealth of insights about the clinical, financial, behavioral and social factors affecting your patients, so you can personalize your patient engagement strategy to each member’s specific preferences and needs. As noted in research undertaken by Frost and Sullivan on behalf of Experian Health: “Analytics help us select patients who will respond to engagement strategies and de-select patients who won’t respond are needed. Not everyone responds to engagement in the same way.” By prioritizing precision marketing, you can create a culture of precision care. 2. Help patients take ownership of their health journey Value-based care is an opportunity to empower patients to be active players in their health. Greater transparency into the billing process, access to healthcare data and consumer-friendly tech can all help patients see what’s happening at each stage of the process. When they’re more informed, they’re more likely to adhere to care plans, turn up to appointments and successfully navigate payments. Your patient portal is a good place to start. Research shows that use of portals enhances patient engagement, satisfaction and health outcomes. Patients can access their records, view test results, schedule appointments at a time that suits and sort out bills with less of the stress. It helps patients ask the right questions and builds a trusting patient-provider relationship. 3. Improve the patient financial experience When two-thirds of Americans are worried about being able to cover unexpected medical bills, any way you can make the payment process more transparent is a big plus. Help your patient navigate the financial side of their healthcare experience with clear, real-time information about their coverage status, estimated co-pay calculations and appropriate payment plans based on their specific circumstances. Putting them at ease will help them meet their financial obligations without leaving a bad taste. In this way, you can build consumer trust and optimize your revenue cycle at the same time. 4. Use SDOH data for proactive outreach Research shows that medical tests and treatments alone are not enough to determine the outcome of a patient’s healthcare journey. We should be paying more attention to the social and economic factors that can get in the way of care. Because when patients struggle to access care, it’s harder for them to follow treatment plans or show up to important follow-up appointments. In a value-based world, tackling social needs is a growing priority for providers seeking to improve population health. When you have a more complete grasp of each patient’s motivations, support networks and personal circumstances, you can create a more efficient patient engagement plan. You’ll avoid wasting resources on patients who aren’t in a position to respond and instead can adopt outreach strategies to help those patients access the care they need. This might include offering alternative payment plans, signposting to logistical support such as childcare or transport, or referring to local community services, such as cooking classes or social clubs. To do this, you need reliable, relevant and accurate consumer data and the capability to draw actionable insights. Experian Health’s unrivaled consumer marketing data can help you better understand your patient population so you can communicate with them and support them in the most effective way. Consumer-friendly care is the new currency in value-based accounting – and the key to positive patient engagement. Find out more about how Experian Health can help your organization lift your patient engagement strategies for greater patient satisfaction, better health outcomes, and a healthier

  I attended the Fall 2019 Conference of the National Association of Accountable Care Organizations (NAACOS) in Washington D.C. and wanted to share some insights on how top-performing Accountable Care Organizations (ACOs) are using data to drive improved quality and cost of care. Over the last decade, we’ve seen the number of ACOs surge. Propelled by the shift from volume- to value-based care, over a thousand ACOs operate across the U.S., bringing together groups of physicians, hospitals and other providers with a collective ambition to enhance quality of care, reduce healthcare costs and improve patient outcomes. While some ACOs participating in the Medicare Shared Savings Program have succeeded in improving quality and realizing some savings for the program, the value-based model is still evolving, and results can be mixed. More dramatic and holistic moves will have to be made to convert today’s annual incremental savings of 1 to 2% to make a dent in the estimated annual waste of nearly $389 billion in administrative complexity and another $45 billion due to lack of coordinated care. So what separates the top performers from the rest? At NAACOS last week, speakers confirmed that the most successful ACOs are those that effectively shift care towards primary care physicians (PCPs) and away from acute settings and skilled nursing facilities, implement a process for continuous improvement and adopt a performance-first culture. This is easier said than done. Here’s my top recommendations to help ACOs leverage data-driven insights to lower costs while improving patient outcomes. Offering insights into member utilization of healthcare resources in real-time I recently worked with a client that needed real-time alerts of member activity including admissions, discharges, and Emergency Room (ER) visits. These insights enabled this client to proactively manage active member episodes of care, optimizing the setting and deliver of care for the member’s specific needs. For example, a member was frequently visiting the ER with complications from his Chronic Obstructive Pulmonary Disease (COPD) condition that the client’s care team was managing. This was a needlessly costly way to treat the symptoms. To help get their members the right care at the right time, this client started leveraging automated alerts for their members as they presented within the healthcare continuum. The next time this patient sought treatment in an out-of-network ER for their COPD, their primary care physician (PCP) received an alert about her patient as soon as they registered, before a doctor had even seen him, and certainly before an ER workup converted to an admission. The PCP called the attending ER doctor to share the patient’s history and ensured the ER physician that this patient would receive next-day follow-up care in the PCP’s office. Knowing that follow-up was in place and the patient wasn’t in immediate need of care, the ER physician discharged the patient home. Given that the average cost of an admission can run $22,000, and an outpatient visit less than $500, the savings delivered by this kind of care coordination becomes significant. More importantly, the member experience is much improved in that they get to go home instead of an unnecessary overnight stay in the hospital. And this is just one example—multiply this kind of episode management across all member encounters and consider the improved member quality of life across all attributed lives and the savings for the health plan or ACO in the aggregate. Real-time alerts provide a win-win for both patient and ACO by affording care teams the opportunity to optimize the setting of care for quality and cost. Care coordination for episode management To improve episode outcomes and reduce readmissions, visibility into the compliance of a patient’s post-discharge care plan through the duration of the entire episode is critical, so well-coordinated care requires that clinical context be shared between providers. A frequent barrier to this flow of useful data is that clinicians’ electronic health records (EHRs) aren’t always interoperable. To solve for this, some ACOs are attempting to move all their providers to a single EHR and care management module. However, for some this may not be an option. In these cases, ACOs can opt for Care Coordination Manager: a rules-driven, closed-loop messaging and distributed workflow orchestration platform that enables health plans, ACOs, allied health, and community partners to share and assign care plan requests across a diverse provider community. Care Coordination Manager is vendor-agnostic and able to populate EHRs and care management modules at the point of care with key clinical context. This flow of tasks and content supports high-quality coordination of care and management through transitions of care. Proactively address non-clinical barriers to health for improved patient engagement and health Another characteristic of top-performing ACOs is that they utilize a 360-degree view of their members to address potential barriers that prevent members from engaging in their own healthcare. These SDOH factors can include things like housing or financial instability, food insecurity, limited access to transportation or healthy food options, and other non-clinical factors. Only about 20% of costly health episodes are due to medical factors, so it’s vital for ACOs to incorporate a more comprehensive and actionable understanding of the social needs of the populations they serve. For example, medication adherence is a bigger challenge for a patient who may have difficulty getting to a pharmacy or understanding medication instructions. Identifying and mitigating these risks up front gives the patient a better chance of adhering to their prescribed regimen, which in turn gives them a better chance to stay healthy, ultimately lessening the disease burden and thus the cost of the ACO’s membership while improving the patient’s quality of life. ACOs can take a proactive, preventative approach to addressing these challenges by collecting and analyzing member data and using these insights to tailor interventions. Patient-supplied information through surveys, like PRAPARE, is a good starting point, but surveys can be limited by access to the patient as well as the patient’s ability or willingness to answer honestly. Additionally, unless mapped to structured data such as ICD-10 Z codes, survey data is challenging to scale for broader insights into the ACO’s membership. Instead, consider healthcare consumer data that’s sourced directly from a reliable vendor. Analysis of this demographic, psychographic and behavioral data allows you to flag patients based on need, so you can identify the best way to communicate with members to help them own their healthcare journey. For example, in a recent report by the Department of Health and Human Services’ (DHS) Office of Inspector General (OIG), one ACO described how asking patients with chronic conditions to make a daily call to a care coordinator led to 43% fewer emergency room visits and 47% fewer readmissions. As ACOs grow amidst pressures to take on downside risk and manage costs while improving quality—timely data collection, sharing, analysis and action will continue to provide the foundation of high-quality episode and population health management; along with engaging members and community partners in the healthcare journey. What’s clear from discussions at the NAACOS conference last week is that the opportunity exists to work smarter across many emerging payment models. Could data be the key to unlocking that opportunity? McLain Causey is Director of Product Management at Experian Health.

Last week, I spoke at the technology briefing of a national health plan group to give a presentation on the role of consumer data and patient identity in healthcare and how social determinants of health (SDOH) can help payers improve population health and lower costs. To illustrate the importance of leveraging consumer data for SDOH outcomes, I like to use the example of Vern. Vern is 78 years old, lives alone in a lower income apartment complex and hasn’t attended a wellness check in several years. Last month, he had an unexpected trip to the emergency room (ER) due to heart disease and continues to be readmitted for his condition. But why does he keep getting readmitted? Is it because he can’t afford his prescribed medication? Is he having a difficult time finding transportation? Or could it be that when it comes to healthy eating—buying fresh product on a weekly basis is challenging for him? These are some of the SDOH that could be contributing to Vern’s readmission—not solely his now heart disease. Had his care team known more about Vern, aside from his condition, they could have proactively addressed some of his barriers to care and prevented the ER admissions—saving them from costly care episodes and preventing negative outcomes for Vern. By utilizing SDOH insights, Vern’s care team can help ‘even the playing field’ for him by understanding his non-clinical barriers to health, what key things are driving those barriers, and what makes sense to address them.  All of this, of course, underpinned by an accurate identity (but, let’s talk universal patient identification another day!). With SDOH insights, Vern’s care team could have gotten him to his wellness checks, his condition would have been detected earlier and he would have received the services he needs proactively. This would save countless dollars in repeated readmissions, ER visits and other costs associated with a chronic condition that can’t get better when your members don’t have the luxury of prioritizing health over basic needs. To avoid these missed opportunities, many healthcare organizations are turning to consumer data to understand their patients or members better. Insights on SDOH are transforming the care experience for people like Vern, as well as saving money for patients and the healthcare industry. Here are three ways consumer data is driving improvements in population health and lowering healthcare care costs at the same time: Helping patients lead healthier lives Research shows that clinical care alone is not enough to safeguard a person’s health. Up to 80% of health outcomes are attributable to non-medical factors such as your financial situation, stability of living arrangements, access to transportation and healthful food options, amongst other things. Around 68% of Americans are affected by at least one of these SDOH, which can make prioritizing good health a challenge. When healthcare organizations are more informed of the SDOH impacting their patients or members, they can take steps to help prevent avoidable hospital visits, ED utilization, appointment no-shows and worsened conditions by encouraging and facilitating earlier intervention. For example, 1 in 8 Americans are food insecure.  If care teams are able to recognize when this is an issue for the people they’re caring for—they can look at partnering with community organizations, like a local food bank or meal delivery service, to address gaps in nutrition for better health outcomes. Reducing the financial burden of healthcare expenses In the U.S., healthcare has the world’s largest gross domestic product (GDP) spending (18%).  By helping your members overcome barriers to attending appointments and potentially discovering health issues sooner, the healthcare industry can reduce the costs of healthcare. For example, 3.6 million Americans miss out on medical care due to transportation problems. If care teams knew who they were and what specifically is impacting them ahead of time, they could step in to arrange transportation or offer alternative options, like telemedicine, so problems can be detected earlier. Not only is this better for the patient’s health, it’s better financially too—emergency room visits cost an average of nearly $2,000 while inpatient hospital stays come in at an average of $10,000. When 33% of ER visits are from those experiencing homelessness—the extreme condition of housing instability—it’s imperative that we consider more than a patient’s profile from a claims or clinical data perspective. Offering a better patient experience When healthcare organizations can see each patient as a whole person, they can offer better engagement plans that make prioritizing their health a smaller mountain to climb. Does your patient prefer information by phone, text or email? Do they use their patient portal? Are there other services they might benefit from, that can help improve their health in other ways? Armed with the right data, you can answer these questions and tailor your communications with each patient, ultimately helping them achieve better outcomes. What’s more, when you leverage consumer insights to improve your population health strategies, you’ll also create a better patient experience through improved care coordination, prompt referrals and timely information sharing—making the whole process better for everyone. Translating consumer data into intelligent business decisions With reliable consumer data sourced from Experian—an original-source provider and data steward when it comes to consumer privacy—you can learn more about your patients and make the right care management decisions to address the non-clinical barriers to health impacting the health of your members and your organization. Learn more about how to leverage consumer data to help improve outcomes for your patient population. Mindy Pankoke is a Senior Product Manager for Experian Health