Tag: care management

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.  

While the various waves of vaccine priority may be largely defined, the ability for many providers to segment their patient populations based on those designations isn't always simple. Without accurate data, there’s a risk that some vulnerable patients will be missed out. We interviewed Mindy Pankoke, senior product manager at Experian Health, about the challenges in segmenting patient populations for the COVID vaccine and how providers can best overcome those challenges. How does addressing patients’ barriers to care increase vaccination rates? The early versions of this vaccination have two doses which comes with its own set of challenges. Getting a vaccination is one thing but getting people to follow up for a second dose in a certain time frame is another. It’s the non-clinical factors that will prevent patients from getting the vaccine. So, things like inflexible work schedules, lack of transportation or even the access or comfort levels with technology required to schedule an appointment online can prevent patients from receiving or prioritizing the first and/or second dose. It can be an uneven playing field with those patients that do not have more flexible schedules, a vehicle or even access to the proper technology to schedule and register for both doses. It’s much easier for patients to prioritize getting the vaccine when those non-clinical factors are a non-issue. What challenges may providers face when trying to segment patient populations for vaccine administration? There are a lot of gaps in patient demographics which can make it difficult for providers to accurately identify and segment patients. Think information like date of birth or occupation. If providers want to segment by age, which many will likely do for the first wave of vaccinations, that would require a complete record of every patient with an accurate birth date. Providers may also want to segment by occupation, knowing essential workers are also eligible for the vaccine. But how can you understand who is an essential worker? Especially when that definition may vary by state or local government? Including non-clinical insights and enhancing demographic data as part of the patient record can help providers fill in the gaps and better segment patient populations for vaccine administration. By combining the power of Experian’s consumer demographic information with more than 40 years of experience compiling consumer data from self-reported and state license boards, Experian Health is able to drill down into occupation data to view different types of employment (construction, utility, etc.) for you to use to outreach, verify and streamline the scheduling (and automated scheduling) or the COVID vaccination. What are some best practices to move from identifying at risk or priority populations and operationalizing that information into actually administering the vaccine to those groups? This is really where it all comes together, and really where providers need to act fast. Once a group is identified, providers can automate the process as much as possible. First, it is imperative that providers clean up their data. Recent processing of Experian’s Universal Identity Manager solution has identified 1,800 duplicate records in COVID vaccination registrations, for individual facilities. Providers can remove the duplicates, enhance the demographics where they may be out of date or missing, and put in place a proactive system to call out and prevent duplicates moving forward. And the vaccine has a shelf life, correct? So even after segmenting the right patients, how can providers act fast to ensure it is administered? So another best practice is to automate the scheduling for as many vaccination appointments possible. With a tool like Patient Schedule, providers can leverage the demographic data to programmatically push out a notification to a patient’s cell phone via IVR or text message, have them verify their eligibility based on the age or occupation data from Experian, and then allow the patient to book their appointment on the spot for a time that works best with their schedule. On the back end, the Patient Schedule solution syncs with the clinic or mobile vaccination site’s calendar to confirm the appointment, allowing staff the opportunity to tackle other pieces of the COVID vaccination strategy. Anything else you'd like to add? Providers will also want to risk stratify using social determinants of health insight on the individual level. Patients in every wave of vaccine priority present an opportunity for better patient engagement (68% of the US is impacted by at least one social determinant of health hindering them from accessing or prioritizing their care). Many patients will need help adhering to that second dose and knowing that information and those circumstances on the individual level can help providers engage in the best way possible to ensure the vaccine is administered correctly. Interested in learning more about how Experian Health can help supercharge the COVID-19 vaccine management process?

The rates for closing gaps in care are some of the most widely used, quantitative metrics to measure quality, allocate incentives, and control costs. Unfortunately, health plans face numerous obstacles closing gaps in care, from social determinants of health to inconsistent coordination of care, and don’t always have a care gap closure program in place. Thankfully, digital solutions like web-based scheduling and automated outreach can help health plans jump many of these hurdles while also helping to close gaps in care. Call center schedulingMany health plans are still grappling with the difficulty of three-way scheduling calls between themselves, members and providers. Calls are lengthy and cumbersome as agents dig through binders of provider schedules and scheduling rules to determine and book the right appointment for each member. Members are often put on hold, sometimes more than once, and are much more likely to drop out of the scheduling process entirely when faced with this experience. As a result, these members may face significant care delays, or in some cases miss their necessary follow-up care entirely. With web-based scheduling, member engagement call centers can eliminate three-way calls. Guided search helps to narrow down the right provider for each member and the scheduling platform allows for immediate, on-the-spot appointment selection. Health plans can more efficiently close gaps in care as members can quickly and easily schedule their appointments. This has proven to cut call times in half, and increase scheduling rates by 140%. To learn more, read this case study. Automated OutreachHealth plans typically have a list of individuals to follow up with on a regular (bi-weekly or monthly) basis to book whatever care service is needed to close the gap in care. Now, health plans have the ability to automate this outreach via interactive voice response (IVR) or text message (SMS) while simultaneously enabling members to schedule appointments on-the-spot, either through a link in the text or during the IVR call. The automation improves the member experience with convenient access and helps close more gaps in care – all without a single call center agent. The ultimate combination for closing gaps in careUsed alone, automated outreach and call center scheduling are both effective for closing gaps in care. When used together, health plans can fast track the path to closing gaps in care and further improve efficiencies. Members can first be reached via automated outreach, prompting the individual to schedule an appointment. This allows members the opportunity to self-schedule and essentially self-close their gap in care, without a single live agent phone call. From there, call center agents can pinpoint the members who didn’t schedule as part of the outreach campaign and then call them directly to book the necessary care. We know that despite the flexibility and convenience offered by digital solutions, like automated outreach, there are still individuals who prefer to schedule over the phone and have personal interaction when booking care. The combination of web-based scheduling and automated outreach enables omnichannel access for health plans while helping call center agents focus their attention on the members who need their help most. Contact us to learn more about how Experian Health can help health plans fast track the path to closing gaps in care.

  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

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.

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