Data and Analytics
Medical expenses are often a source of anxiety for many patients, whether they are unsure about the amount owed or how they’ll ultimately pay for it. Unfortunately, intimidating collections processes don’t help, and a crisis like COVID-19 only exacerbates this stress. A more compassionate billing approach could help patients better navigate their financial obligations and also build long-term loyalty—a necessity for providers today looking to retain patient volume during a time of crisis. Consumers overwhelmingly want to understand the cost of healthcare services, prior to services being performed. Effective price transparency involves offering patients clear, accessible, and easy-to-understand estimates of their financial responsibility for services before they are performed. Give patients clarity from the start with precise pricing estimates and up-front info about what they’ll have to pay can reduce sticker shock, help them plan and create an overall better patient financial experience. By empowering your patients with financial expectations, their feeling of control increases, improving their engagement and the likelihood that you will collect payments faster and more efficiently. Just as you don’t provide identical medical treatment to every patient, processing all patient accounts the same way doesn’t make sense. Every patient is different. Using comprehensive data and advanced analytics, providers can better understand an individual\'s propensity to pay and make the payment process a positive one by assessing and assigning each patient to the appropriate financial pathway based on their unique financial situation. Medical bills are often the most direct contact providers have with patients after a service is rendered. Unfortunately, money is often a sensitive topic for patients and statements are often overwhelming and difficult for patients to read. Tailoring communications at each stage can convey compassion and increase patient satisfaction. Customizing patient statements gives providers the ability to simplify and customize bills quickly and easily, turning an often confusing process into one that adds value. Including relevant, personalized messages and educational updates can turn billing statements into a useful resource, all with the potential to drive revenue. In addition to offering personalized payment options, providers can also find out whether a patient prefers to discuss billing by phone or email. Minimizing friction at the point of payment is crucial to fostering compassionate collections. Providers should offer flexible options that include in-person, telephone, mobile and online patient portals, so they can pay in a way that’s most convenient for them. This also frees up staff to help those patients who may need a little extra help understanding their statement. Want to learn more? Check out Experian Health’s Collections Optimization Manager which helps providers segment patients based on an individual’s propensity to pay and payment preferences, informing a compassionate patient engagement strategy and improving collections.
During this time when the whole world is wrestling with the Covid-19 crisis, planning for the future is difficult. However, there is no question that as the nation emerges from its stay-at-home status, there will be huge release of pent-up demand – especially for healthcare. Health systems have streamlined their operations to deal with the influx of COVID-19 testing and treatments. As a result, any non-emergent care or care unrelated to COVID-19 has been heavily gated, if not canceled entirely. This of course includes preventative care, non-critical regular screenings, and other services related to care gaps. Once the patient flow moves out of crisis mode, these services will certainly resume – and they will resume in earnest. This increased demand for services, coupled with the time lost to meet quality metrics, will place a real burden on member services and quality teams as they work to ensure missed preventative care, screenings, and other care related to care gaps are being sought and coordinated. It is possible to make small moves now to strategically prepare for what’s coming, so that when the crisis subsides organizations can be well positioned to serve their members. Here are a few key things payers can do to get ready: Get your data and strategy in order - Now is the time to use data to better understand your members and fill in any gaps you may have. For example, it is going to be essential to understand geographies and associated provider groups where care gap non-compliance is likely to be highest, so you can strategically focus on those areas. Also, understanding what the best channel of communication is and ensuring that you have accurate contact info for those members is critical. Fundamentally, plans will need data that can help them identify who to target and can supply needed, accurate contact info.Understand your members\' SDOH barriers – Understanding your members\' social determinants of health (SDOH) barriers will be more important than ever. One of the unfortunate byproducts of this COVID-19 crisis is the economic damage. As a result, there will undoubtedly be critical gaps, like transportation, that will affect your members\' ability to access care and thus need to be accounted for. Likewise, with the downturn in the economy, additional social determinants will be on the rise, like food insecurity, housing insecurity, and access to medications. These should also factor into your overall plan – and thankfully there are increasing ways to identify and track SDOH.Implement digital tools now – Ensure your member engagement strategy is fully informed and your teams are ready to efficiently execute. While data can round out any information gaps that may exist for you – contact info, SDOH gaps, etc. – tools that can provide quick, convenient access to services will be needed to take action. For example, enabling your member engagement team with a digital scheduling platform that allows them to book appointments with providers without calling the provider, is a proven way to accelerate member engagement and close gaps in care. This type of digital engagement not only provides an efficiency gain, it also greatly improves the member experience as call times are shorter and members are given greater access to care. In times like this current pandemic it can be hard to think about much else beyond the here and now, and especially hard to picture a brighter future. But prudence would dictate that taking a little time now to prepare can make a big difference when things do start to open back up. Find out more about data driven solutions for member engagement.
With Google’s acquisition of Fitbit in November 2019 and Apple’s recent foray into smartphone-based clinical research, the ‘big four’ tech giants are ramping up their efforts to take a slice of the $3.6 trillion healthcare industry pie. These investments aren’t new. Between 2013 and 2017, Apple, Microsoft and Google’s parent company, Alphabet, filed a combined 300 health-related patents, while Amazon has been looking to expand into the pharmacy space since the early 2000s. Historically, it hasn’t been easy for new players to get into the healthcare game. Up to now, tech companies have mostly stayed in their lanes, using their expertise in cloud-based computing, artificial intelligence and supply chain management to break into health markets around the edges. What gives them a big advantage now is the rise of healthcare consumerism, especially in the digital realm. Patients expect to be treated as individuals, with communications and services that are convenient and tailored to their needs. The personalization that so delights them is powered by their own health data and a focus on the consumer experience – two of the tech companies’ biggest strengths. Providing a consumer-centric experience has been challenging for the healthcare industry. In fact, it’s been challenging for many legacy industries (banking, insurance, etc.). Amazon and others have a head start in being able to leverage vast quantities of consumer data and turn insights about their customers’ lifestyles, behaviors and preferences into a better consumer experience. How can healthcare providers compete? Understanding consumer data is key to a better patient experience and better population health The buzz around consumer data opportunities isn’t limited to the tech world. Recognizing the role of consumer data in improving both the patient experience and population health, more health systems are investing heavily in data analytics, looking at how they use data to market to their consumers and address the social determinants of health. Mindy Pankoke, Senior Product Manager for Experian Health, says: “Consumer data is becoming more important in healthcare because patients are people. They\'re more than a clinical chart or claims form. They have lifestyles, they have interests, they have behaviors. This is called consumer data. ‘Social determinants of health’ has become a huge buzzword in the healthcare industry and it\'s more than buzz. It\'s data about people\'s lifestyles that we can use to improve their health.” Over 80% of health outcomes are attributed to the social determinants of health, so knowing who your patients are and what they need is increasingly important if you want to improve their wellbeing. When you understand what’s going on in your patients’ lives, you’ll know whether they need assistance with transportation, understanding their healthcare information, managing a care plan or accessing healthy food. You can communicate with them in the most effective way and point them towards services that could help them access care and avoid more serious conditions. And even better, much of this can be done through time-saving automation tools. Where to start with consumer data Today’s leading healthcare providers are using consumer data in three main areas: 1. Streamlining patient communications Whether a patient is getting treatment for a broken leg or multiple chronic conditions, their healthcare journey probably involves hundreds of touchpoints with your organization. Consumer data helps you cut to the chase and give them the exact information they need to make their next decision or complete their next task, in the most convenient way. Data analytics allow you to create a slicker patient experience, by giving the right message in the right format – whether that’s in marketing to new patients, sending bill reminders, or encouraging wellness checks. 2. Segmenting patients according to social determinants of health In a study of 78 social needs programs published this month, Health Affairs reported that health systems invested more than $2.5 billion in interventions focused on housing, employment, education, food security, community and transportation, between 2017-2019. Clearly, some patients will benefit from these services, while others won’t. There’s no point giving the same information to every patient. Consumer data lets you segment your patient population and target information about social programs to the ones who need them most. 3. Creating bespoke services for your specific patient population Consumer insights tell you exactly what’s blocking your particular patient population from accessing care, now and in the future. You’ll know how many have difficulty attending appointments, how many might struggle to read complicated instructions and how many will be too busy to download and use your new healthy recipe app. Analyzing your population’s needs and tendencies allows you to predict future demand for different services and develop interventions to solve those specific challenges. Future-proof your consumer data strategy by working with a trusted partner As the big tech companies are coming to discover, healthcare data regulations are complex. You need to know where your data comes from, for the sake of both accuracy and permissibility. Working with a trusted data vendor in the health space can help ensure the reliability and integrity of your data, as they will have expertise in the appropriate use of consumer data in healthcare. They’ll help you pull insights from only the most relevant, current data, so you can build a competitive consumer experience on the strongest foundations. Find out more about how Experian Health’s consumer data analytics can give you a holistic view of your patients and the social determinants that affect their health.
Before brands like Apple and Amazon became synonymous with consumer culture, the healthcare experience didn’t have much motivation to change. If you felt ill, you’d go see a doctor. The doctor would check you over, make a diagnosis and set you on the appropriate path to treatment. It was on you to initiate contact: your physician’s only job was to provide whatever care was needed, once you were in the system. Today, the healthcare journey can look quite different. Patients have options. In an increasingly crowded market, it’s now up to providers to reach out and woo healthcare consumers. To stay ahead of the competition, providers must seek innovative ways to attract new consumers and inspire loyalty among existing members. Chris Wild, Experian Health’s Senior Director of Consumer Engagement Solutions, says: “Health systems have started taking a good, hard look at how they engage with patients, whether that’s marketing to new populations or encouraging patients to come in when they are sick. It all comes down to data. With a complete picture of the patient, you can loop together clinical information with insights about their lifestyle and attitudes, so you really know who they are and what they’ll need from your health system.” Three ways consumer data can help you attract and retain patients Data-driven marketing and engagement is a growing opportunity for providers. With the right data platform, it’s easier than ever to leverage reliable, high-quality data and analytics to better understand and serve your patients. In fact, Wild suggests there are three main ways marketing data can benefit healthcare providers (you can watch Wild talk about these on video): 1. Marketing to new and existing members Why should prospective patients choose your hospital or physician’s practice? What would prevent existing patients from being tempted to switch providers? Understanding what makes your patients tick lets you pinpoint the exact benefits, priorities and language that will resonate with them most. As Wild says: “If you’ve got five health systems competing in a town of 1.5 million people, how are you going to differentiate yourself? Once a patient picks up a provider and they’re relatively satisfied, they don’t change a lot. They’re starting to look at things like quality. They’re starting to look at cost and what’ll give them the biggest bang for their buck, but getting to them first is a big first-mover advantage for sure.” ConsumerView bundles up reliable information on around 500 demographic, psychographic and behavioral attributes to help you get to know your target market, so you can get the right message in front of them at the right time. 2. Engaging with patients to improve health outcomes Even if you’re the only health system in town, there’s still a need to engage. You want your patients to achieve the best possible health outcomes and often that requires them to take ownership of their health. You can help them do that by encouraging them to come in when they are sick, or by pointing them toward services that could make it easier for them to access care. To do this effectively, you need to know what your patients need. ConsumerView has around 1500 verifiable data points on 300 million US consumers, covering about 98% of the US population. These can be used to discover how your patients think about their health and how they make their buying decisions. When that’s merged with your own information about their clinical journeys, you can give them a truly personalized healthcare experience. 3. Future-proofing your services Finally, you can use these analytics to better understand your current patient population to make smarter decisions about the investments you need to make in future. Where are the bottlenecks in the patient’s healthcare journey? Where should you put new services? Robust data analytics help you say, “we need to invest here and this is why.” Wild says, “I’m working with one analytics team that’s looking to better understand where they’re going to allocate physical and human resources so they can follow up with their patients more completely. They’re digging in deep to understand what their current patient population looks like, and then using that data to understand what their future population may look like.” Data analytics helps you predict demand for services, so you can direct resources accordingly. You’ll be able to identify trends in patient pathways, so you can engage with patients earlier and make sure they get prompt care and support, giving them a better chance of a good outcome and saving your organization time and resources. Learn more about how your organization can drive marketing results through customer segmentation, targeted messaging and analytics
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.
It’s the chronic condition no one wants to mention. Symptoms can include missed appointments, unnecessary treatment, poor communication and confusing billing processes. The prognosis is a less than satisfactory patient experience, sub-optimal health outcomes and a sizable dent in provider revenue. We’re talking about inadequate care coordination. Around 42% of Americans live with multiple chronic conditions and for many, inefficiencies in the health system are an added ailment. The consumer experience is often plagued by slow and outdated scheduling systems as patients can find it tough to obtain the referrals and personalized support they need. For providers, poorly coordinated care is a drain on resources, bumping up the average cost of chronic disease management by more than $4500 over three years. Finding a cure for the care coordination challenge is even more pressing in the context of value-based care. A seamless experience for patients is more likely to encourage consumer loyalty, enabling better health outcomes and improved population health. Better coordinated care calls for better connected data When you have a complete picture of each patient and a reliable method of tracking them across the care continuum, you can offer a more streamlined healthcare experience. Your clinical teams will base their decisions on current and accurate patient data. And you’ll have more robust insights into your patient populations, so you can connect the dots between different departments and plan services to meet demand in a more efficient way. Today, providers have access to a wealth of reliable and secure consumer data. There’s no need to rely on intuition and routine, when the tools exist to turn that data into valuable insights to help manage care more efficiently. The goal is to make that process as cost effective as possible. Could automation be the missing piece of the puzzle? Four building blocks for automated care coordination 1. Develop an IT-oriented business strategy In 2016, around half of US hospitals lost $500 million in reimbursements due to readmission-related inefficiencies. Many of these lost revenue opportunities could have been avoided with better use of digital technology. With a revenue cycle built on more efficient and reliable IT systems, you can improve care coordination and protect profitability. 2. Embrace an ‘anywhere, any device’ approach to patient access A truly consumer-centric care management strategy gives patients the ability to access care and support from the right member of their care team, at the time they need it, and through the channel that suits them best. A host of tools can help you achieve this, such as patient portals, online scheduling tools, medical devices and telehealth programs. By giving your patients choice about how and when they interact with services, you can simplify many admin processes and in turn avoid errors, missed appointments and billing mishaps. 3. Use data systems that work across multiple services A common concern raised by clinical teams is the lack of a single source of truth for each patient. As one provider said: “With knee and hip replacements, multiple hands are involved in post-acute care, and often we don’t have enough data and interaction to manage these entities effectively.” (Source: Frost and Sullivan) Solving this requires data interoperability – in other words, having data that’s accessible and in compatible formats across multiple services and facilities. But it also calls for two-way communication and data-sharing. A good example of this is MemberMatch, which gives physicians real-time alerts when their patients are admitted or discharged from emergency departments. When used in combination with Care Coordination Manager, MemberMatch automates processes for scheduling follow-up appointments. It also generates regular status updates on test results, medications and care plan details for other providers. Your physicians can track daily usage and no-show rates. As a closed-loop system, all communications are entirely secure. 4. Leverage data and analytics Finally, consider an analytics platform that gives you near real-time reporting on the performance measures that matter most to your organization, so you can track what’s working and what’s not. Tap into analytics tools that draw on the widest sources of reliable consumer and financial data to give you real-time insights on your care management priorities. An EHR-integrated dashboard can allow you to see a snapshot of trends in performance, including gaps in care, duplication of tasks, patient outcomes and patient feedback, so you can direct resources to the areas where they’ll have the biggest impact. With nearly half of all patient revenue expected to be tied to value-based payments, it’s clear why more providers are testing new ways to improve care coordination. According to Frost and Sullivan, the overarching goal should be to track, predict and manage the cost of patient care. Automated tools can help you achieve this, by improving collaboration across your entire ecosystem. Better care coordination is good for patients, population health and provider revenue. Learn more about how our data analytics can help.
Recently I had the opportunity to present at a regional chapter of the National Association of Healthcare Access Management about the growing need for business intelligence to improve patient access functions, as well as revenue. In speaking with attendees, it became clear that automating the patient access workflow with real-time data can create a more efficient and accurate process. Here’s how. As the responsibility for paying healthcare bills increasingly falls to patients themselves, patient access can make or break the revenue cycle. From registration and verifying insurance details, to scheduling appointments and collecting cash payments—this is the front line for the financial side of the patient experience. When you consider that half of denied claims occur earlier in the revenue cycle at the point of registration, improving those early-stage patient access processes is the obvious place for providers to look when seeking to minimize lost revenue. Revenue loss in patient access is mostly due to errors in patient identification, inadequate data analytics and inefficient workflows. If front and back office teams were better connected and able to work together quickly to communicate and resolve issues, many of these errors could be prevented. Without reliable tools and workflows to support this, those teams often must resort to manual fixes for any errors that arise. Unfortunately, this takes time and effort, blocking opportunities to find new ways to improve decision making and business performance. Healthcare is becoming more competitive. Providers must work to leverage the right data in the right way to safeguard profits and offer a better patient experience. That said, where should you start? Doing more with less requires the right data insights There are two sides to the solution: first, you need to be sure your data is accurate from the start. Around a third of denied claims are caused by inaccurate patient identification, while 12% of patient records are duplicates. Cleaning up your data with high-quality demographic data can help eliminate preventable denials. Secondly, you need to be able to draw insights from your data to help make smarter decisions in the future. Let’s say you notice a spike in late payments from a certain population. Why is that? Looking at historical data on patient and payer behavior can point to emerging trends and help you figure out where to focus your efforts in response. Or perhaps you’ve recently added a new function to your patient portal. Analytics can help you see if and how patients are using it and evaluate its overall performance. Once you have your data and analytics in place, you can start to use it to make improvements. Automating the patient access workflow with real-time data can create a more efficient and accurate process. It will also help link front and back office staff with shared systems that minimize errors and wasted staff time. 3 ways to use data analytics to streamline patient access For providers looking to streamline their early revenue cycle processes using the power of data, three areas to focus on are: Creating a better patient experience Increasing numbers of self-pay patients means patient loyalty is a growing priority for providers. Creating a positive, straightforward patient financial experience is essential for hospitals and health systems looking to reduce the stress and anxiety many patients feel when dealing with healthcare bills. Using data insights to identify the sticky parts in your patient access processes can help you spot opportunities to improve the consumer experience. For example, are patients receiving duplicate communications because the system is failing to update demographic information? Are there bottlenecks or backlogs that are creating stressful delays for patients? A business intelligence tool such as Revenue Cycle Analytics can help you pinpoint the root cause of delays and errors so you can work to fix them—and level-up your patient experience. When Martin Luther King Jr. Community Hospital (MLKCH) realized patient registration in their busy Emergency Room was a bottleneck and source for claim denials, they implemented an automated platform to streamline their registration process and improve the data being captured at the point of registration. Lori Westman, patient access manager at MLKCH says: “We get fewer denials because we’re getting true verification data, and our patient volumes continue to increase. So the fact that we can take off two to three minutes, at least, on half of our registrations is speeding up the work for the team, and the turnaround time is much better for the patients.” Uncovering potential revenue loss Analytics can show you exactly where your revenue cycle is losing money. Using appropriate benchmarks and custom KPIs, you can analyze accounts across the entire cycle to make sure your existing revenue cycle solutions are performing optimally and identify new opportunities for improvement. By gathering together multiple data streams into a single dashboard, you’ll get an at-a-glance view of your revenue cycle performance, so you can drill down to the root cause of denials. This also helps link up your front and back office staff. Rather than working retrospectively to address issues as they happen, your back office team can use insights from whole system data reporting and analytics to give front office staff immediate feedback on where denials are occurring. Monitoring payer rules and performance With American hospitals footing the bill for more than $620 billion in uncompensated care over the last two decades, it’s vital to verify a patient’s insurance options as soon as they set foot in the hospital. With up to date information on payer rules and a robust process for finding missing coverage, you can avoid protracted negotiations with payers and focus on denials, rejections and exceptions. A payer dashboard can also help you assess how payers are performing against one another, so your discussions around timely payments will be based in fact. By analyzing performance around pre-service, point of service and post-service, you’ll be better placed to work more closely with payers to minimize the risk of both late payments and denied claims. Learn more about how data analytics and an automated patient access workflow can help eliminate costly denied claims, boost revenue cycle performance and improve the patient financial experience. Steven Thiltgen is Director of Analytics Consulting for Experian Health
Most healthcare consumers spend only a tiny fraction of their lives in the clinical world of medical appointments and procedures. Where and how they spend the rest of their time has a far bigger impact on their health and well-being. So why are some providers still relying primarily on clinical data to devise their care plans? Clinical data is crucial when it comes to a patient’s diagnosis and treatment options, but it tells you nothing about their ability to stick to a care plan when they get home. How do their living situation and lifestyle habits play into the physician’s treatment recommendations? Consumer data is the missing piece of the healthcare jigsaw. When providers have insights into their patients’ social and economic circumstances, they’re better placed to spot the factors that might hinder access to care, and offer a more holistic, tailored and effective support plan. The predictive power of consumer data Let’s imagine a single mom of two small kids, working two jobs. Her daily life is a race to get everything done on time, give her children what they need and still make ends meet within her weekly budget. When a reminder for her annual wellness appointment flashes up on her phone, she adds it to her mental to-do list. But by the time the appointment comes around, the stress of taking time off work and scraping together the cash for gas or bus fare means she puts it off. She doesn’t go. Six months later, she ends up in the emergency room with symptoms of a serious illness. Had her provider known about the barriers in advance, they could have supported her to get to her appointment and discover her illness sooner. As Dr. David Berg, co-founder of Redirect Health says, “the most important part of getting good results is not the knowledge of the doctors, not the treatment, not the drug. It’s the logistics, the social support, the ability to arrange babysitting.” Consumer data, such as car ownership, employment status, income level and family information can give you these insights early enough to take action. You’ll know whether your patients can get to their appointments easily, whether they can afford childcare, and a whole host of other factors that might affect their ability to stick to a care plan. And once you know those things, you can offer tailored support to give them the best chance of success. How to gather non-clinical insights According to PwC, around 78% of providers lack the data to identify patients’ social needs. Many have basic demographic information on their patient populations, but are missing the more sophisticated insights that could help them better support patients. It doesn’t have to be complicated, but there are a few considerations healthcare providers should vet as they gather and use consumer data to help drive care plan compliance: Evaluate the pros and cons of patient surveys The obvious way to find out more about your patients’ needs is to ask them directly. A survey at the point of registration can help you understand what barriers may prevent them from attending appointments, taking prescriptions or following other medical advice. However, surveys can be time-consuming and expensive to administer, and recording answers by hand can lead to errors. How a patient interprets the questions and how your team interprets the answers may affect the usefulness of the survey data. And a patient’s circumstances may change between completing the survey and trying to follow the care plan. This approach also only includes patients who manage to attend an appointment in the first place. Those without access to care such as the mom in the example above, would be omitted from the survey, so you would miss out on discovering how to help them. Tap data vendors to deepen your consumer insights A third-party data vendor can give you access to data on your patient population’s income, occupations, length of residence and other social and economic circumstances. When this data is packaged up for your care managers, it can be used to inform proactive, preventative conversations with your patients, to solve any non-clinical gaps in care. It’s more cost-effective than patient surveys and removes the risk of personal bias and interpretation. Ensuring the reliability and integrity of your data vendor can be a challenge. Data brokers often use consumer data collected in retail and other industries, which may not be completely relevant to your activities or collected in a way that meets the requirements for use in healthcare settings. It’s crucial to be able to verify the source of the data and confirm that individuals were told how their data would be used and given the choice to opt out. Always ask your vendor if they are an “original source compiler.\" Working with a data vendor in the health space, such as Experian Health, can help avoid these pitfalls, as they will have expertise in the appropriate use of consumer data in healthcare. Understand permissible use of consumer data to stay compliant To use consumer data successfully, you must have confidence in both its accuracy and your ability to safeguard patient privacy. For example, are your data collection processes compliant with the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act 2018 (CCPA)? Working with a data management partner who collects data directly from consumers means you can verify that all privacy requirements and opt-outs are in place. They’ll also help you scrutinize hundreds of public and proprietary data sources, so you use only the most relevant, up-to-date data to inform your decision-making. By evaluating and understanding these three areas, you’ll be able to leverage consumer data to tailor your patient engagement and support and make it easier for your patients to comply with their care plan. The more you are able to see and treat each patient as a whole, individual person, the better their health outcomes are likely to be. Consumer data lets you do that.
When nearly 80% of health outcomes can be traced to non-medical social and economic factors, we need to look beyond the medical world to improve them. Perhaps a lack of transportation prevents a patient from attending an appointment, or juggling two jobs makes it difficult to collect a prescription. Maybe a patient’s care plan calls for lifestyle changes that are simply unrealistic in their current circumstances. When life gets in the way, there’s only so much the physician can do. Creating and maintaining a healthy, happy population truly takes a village – from your clinical team to the community resources around your organization. For many healthcare providers, there’s probably a lot more going in their ‘village’ than they realize. Do you know who your patients really are, beyond their lab tests? Do you know what nearby services are at your disposal to help you offer the best possible care? Knowing your patients and your health improvement ‘village’ means you can offer a personalized experience to your patients, to improve their care management and ultimately help them achieve better health outcomes. 3 ways to tailor care management for better patient outcomes Let’s imagine two patients, who have both recently broken their wrists and been treated in your facility. Gene is 71 years old and David is 34. From the clinical perspective, it might be reasonable to assume that David, being younger, should simply receive discharge directions and a time for a follow-up appointment, and be on his way. Gene, being older, might require a series of follow-ups. But thinking of the village analogy, is there more you could learn about Gene and David to engage with them in a way that’s tailored to their specific needs? Here are three ways social determinants of health data can help you do just that. Use non-clinical data to get to know your patients Non-clinical data can help you learn more about your patients and the lifestyle factors that might affect their health. This allows you to address issues like excessive healthcare utilization, preventable readmissions, no-shows and low patient engagement. Surveys at the point of registration are one way to get fresh socio-economic insights. But these can be cumbersome to implement, and findings can be limited by the nature of the questions. You might also review geographical and community-level data to discover your local population’s income, housing situation, employment status, and so on. This can be useful for population-level care planning, but it’s not patient-specific. A better way is to analyze securely collected marketing data for more specific and accurate information. This could tell you that Gene’s living situation actually has a minimal impact on his ability to access care, healthy food and reliable housing. Additional follow up appointments may still be appropriate, but perhaps less urgent. By contrast, you might find that David has limited access to care because he lives alone and far from public transportation. His lifestyle suggests he’d be unlikely to prioritize getting gas to drive to a follow-up appointment over getting to work. In this situation, a remote health appointment might be the better plan. Know your community resources Once you know what David and Gene might need, you can point them towards any appropriate community resources to increase their chances of a quick recovery. Of course, to do this, you need to know what and where these resources are. For example, can you link David to an appropriate home health or telehealth program, or is there a non-emergency medical transportation service in your area to get him to his appointments on time? If Gene needed support to follow a healthier diet, would a local food bank be available? If either had an unstable living situation, would you know which local or national housing coalitions could help put healthcare within reach? Tools such as NowPow, Aunt Bertha and Healthify exist to connect the dots between patients, providers and wider community resources, and close the gap in holistic care. Be proactive and preventative by holding conversations with your care teams prior to seeing patients When you have reliable insights and data analytics to anticipate what patients like David and Gene might need, you can work with your care teams to develop a shortlist of options ahead of time. In this way, they’ll have realistic and ready-to-use solutions to give the patient right there and then. To truly get the most out of social determinant of health data, your care coordinators need easily digestible patient profiles which they can understand and use in a split-second. Bringing the whole patient into the care plan Healthcare is growing more and more sophisticated in identifying ways to better manage care for patients by using data science and machine learning to predict health events. These insights help coordinate care plans that are preventative and proactive. Essentially, it’s about knowing your patients as well as possible, and being able to quickly match them to the services they need. — Discover how we can help you leverage social determinants of health data for your patient population, so you can bring in the whole ‘village’ of resources to support them on their healthcare journey.
