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Collections were tough even before COVID-19 hit. Provider’s bottom lines were already strained, and the high-deductible trend continued, putting patients on the hook for a bigger chunk of their medical bills.   A highly volatile – but improving – employment environment hasn’t helped, and some patients’ ability to pay hasn’t kept pace with their growing financial responsibilities. Many have new health plans, lapsed coverage or are more focused on other debts, making collections even less predictable. Providers may also feel that payer policy changes haven’t made recouping lost pandemic revenue any easier, with some losing two whole business days per week to completing prior authorizations. It’s no wonder that nearly one in five providers have overhauled their patient collections strategy in the last year.   Now, after a year of the pandemic’s impact on revenue, three dominant trends continue in this space: rising patient balances, an accelerated move toward innovative payment experiences that are moving toward digital engagement as a preferred option to paper or “payment at the counter,” and a realization that compassion is a key factor in solving this challenge.   Avoiding new pitfalls in patient collections   Go-to strategies for improving patient collections before the pandemic might have only included offering more patient payment options, doing more to check for missing coverage, or focusing efforts on patients who are most likely to pay. These are sensible options but, if implemented poorly, they’re more of a band-aid than a cure. Some shortcomings include:   Models relying on historical payment data don’t show the full picture Providers know that focusing their collections efforts on patients who are most likely to pay is the most efficient approach. But determining a patient’s ability to pay on historical payment data alone is likely to be unreliable.   Experian Health’s research suggests that when a collections model relies on historical data alone, around 50% of accounts end up being worked on the basis of no data at all. New accounts are assigned to a “highly likely to pay” segment, whether or not that reflects the reality of their situation. This model costs four times more than utilizing Experian Health’s Collections Optimization Manager, which can predict the ability of patients to pay, even without historical payment, by using multiple data sources.   Collections based on limited data will require more resources to work more accounts, but which ultimately will collect the same as collections based on multiple data sources.   Beware of artificial claims about artificial intelligence To streamline workflows and avoid losing staff hours to inefficient processes, many providers are turning to automated patient collection solutions. Artificial intelligence in healthcare is an exciting prospect, but not all solutions are what they seem.   Matt Baltzer, Product Director at Experian Health, says:   “Many collections tools claim to use artificial intelligence when they’re really using basic automations based on incomplete data. Since the quality of the output is only as good as the data that’s put in, the insights generated by these tools will be severely limited.”   To solve the collections workflow challenge, providers need an end-to-end strategy that integrates multiple high quality data sources, intelligent analytics and a responsive platform that learns and adapts in order to prioritize patients and communicate with them in a way that makes collections easier. Cash payments and price transparency can be part of, but not all of, the solution One way to smooth out a bumpy revenue cycle is to offer discounts to patients who pay in cash. It saves on admin costs and guarantees at least some of the bill will be paid. While this makes sense for minor ailments, admin and treatment costs for chronic conditions and major medical events remain persistently high. A resilient collections strategy needs to work across the board, addressing the many treatments, procedures and care plans that providers deliver and manage every day.   Requirements for improved collections, post-COVID-19 The cohesive, integrated model that providers need has the following key elements:   Multi-data sources for comprehensive analysis Optimal collections modeling uses different sources of data to build a more reliable prediction about a patient’s ability to pay. Combining credit data, behavioral modeling and socio-economic insights can help providers better understand their patients’ financial situation and group them accordingly – quickly and accurately.   Convenience and clarity for patients and staff Automated workflows with easy-to-use interfaces will make collections easier for staff, and eliminate time-wasting manual tasks. At the same time, a smoother, more targeted collections process means staff can engage with patients on the basis of accurate information, with fewer (and less stressful) calls and emails.   Advanced data analytics and automation for fewer errors and denials In-depth data analytics allow providers to screen and segment patients quickly to help prioritize accounts by payment probability, to achieve a higher rate of collections. A tool such as Collections Optimization Manager will evaluate collection performance in real-time, to help providers forecast patient payments and avoid bad debt. Expert consultancy support to stay on top of industry trends With the payments landscape in constant flux, having an expert on hand to help navigate the changes and advise on industry trends is a major asset. Experian Health’s team stands ready to help providers monitor and improve collections with industry insights and best practice strategies.   Find out how Collections Optimization Manger can help your organization avoid patient collections pitfalls and reduce lost revenue in the wake of the pandemic.

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.