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Four ways to use AI and automation in your revenue cycle

Published: June 18, 2019 by Experian Health

Artificial Intelligence (AI) and automation are the latest buzzwords in business innovation. But what exactly do they mean, and how can they help your healthcare organization?

Put simply (if that’s possible!), AI is when a machine mimics human thinking. It can spot patterns, learn from experience and choose the best solution in a given situation, solving problems with little or no human involvement.

While AI is focused on achieving a particular goal, automation is process-oriented. You can set it to follow rules depending on certain data inputs. It’s ideal for completing repetitive tasks efficiently, so the humans in your team can spend their time elsewhere.

In healthcare, there are endless opportunities for AI and automation to assist doctors in diagnosing and treating medical conditions, like Microsoft’s “Hanover” machine, which helps oncologists predict the best combination of drugs for each patient. Harvard Business Review investigated 10 promising AI applications in healthcare, which could save the US healthcare system $150 billion per year by 2026. Examples include AI-assisted robotic surgery, faster and more accurate image diagnosis, and determining ideal drug dosages for individual patients.

The opportunities aren’t all on the medical frontline either: AI and automation can be of significant value to a hospital’s revenue cycle. But many providers have only scratched the surface when it comes to integrating new technologies within their revenue cycle operations.

There are plenty of repetitive processes within the revenue cycle that can be time-consuming, tedious and prone to human error. Thanks to automation, many rote tasks such as handling denied claims and missed authorizations can be taken off your team’s to-do list, keeping productivity high and resource costs low.

Here are four ways AI and automation can help reduce claims denials specifically.

  1.     Staying on top of ever-changing payer policies

Constantly changing payer payment rules create serious challenges for many providers, causing delayed payments, denied claims, increased billing costs and lost revenue. Providers often have no central repository to share updates with the right people across their health system, meaning individual departments have to allocate staff time to digesting the same notifications and newsletters. It’s extremely inefficient and can cost thousands in reworked claims.

With automated Payer Alerts you can avoid all of this. Payer Alerts give staff a convenient service that monitors more than 52,000 web pages by more than 725 payers, so you know you’re up to date with any changes. Handy daily email digests notify you of any specialty-specific updates, so you stay a step ahead.

John Neumeier from Arkansas Health Group says:

“Payer Alerts has been a very valuable tool. Before, our certified professional coders would go out and read all of the payer alerts and manuals from Medicare, Medicaid, Blue Cross and United Healthcare, and try to boil down and assimilate the things that were important to our organization. With Payer Alerts, we’ve got an email sitting there every morning with those things already done for us, so within just a couple of minutes we can scan through and identify what’s important to us, and then very quickly communicate that out to all of our clinics and managers.”

  1.     Better patient matching to reduce claims denials

A third of all denied claims are linked to inaccurate patient identification. This costs hospitals an average of $1.5 million per year. The go-to solution often involves an enterprise master patient index (EMPI) to match and identify patients electronically. However, EMPIs are limited by their reliance on a single data source – their patient rosters. And if an error sneaks into the patient roster, it’ll be passed down when patient records are matched.

Instead, patient matching can be automated using a platform like the Universal Identity Manager. This draws on a variety of broader, more reliable data sources including Experian’s demographic and credit data, then calculates the likelihood that two records refer to the same person. A Universal Patient Identifier is assigned to each patient, so their correctly matched data is always trackable.

  1.     More efficient claims verification

Your claims team can probably guess the likelihood of a denial based on their experience and data, but actually turning those insights into a robust, efficient process is not easy.

Machine learning tools such as Claim Scrubber can look at which claims have been denied in the past and why, and use that data to predict future denials. It tags at-risk claims so you know to run additional checks before sending them off to the payer.

Kahlynn Lawrence, Coding Operations Manager from Northwell Health, told us:

“It was a way to automate and create a worklist so that the coder could then focus on true coding issues. By doing this we were able to see results… From 2013 to 2017 we’ve been able to reduce our denials by 50% through using the Experian Claims Scrubber tool.”

  1. Actionable insights to help optimize your revenue cycle

A high-performing revenue cycle relies on powerful data analytics. But monitoring and synthesizing all the data that flows through your organization can be challenging. Machine learning algorithms can help here, giving you deeper insights about the performance of your revenue process.

With a business intelligence tool like Analytics, you can leverage multiple datasets to find predictive solutions that boost productivity and maximize your ROI. This tool gathers several data sources into a single dashboard so you can monitor and compare your organization’s performance against your most important KPIs. Industry comparisons and trends analysis will also help you find opportunities for more efficient billing, predictive reimbursement and improved payer performance.

Healthcare providers devote vast quantities of time and money to interactions with payers, often due to untracked payer policy changes, error-strewn patient records, or avoidable denied claims. More streamlined revenue cycle management can help you get those claims right the first time. You can stop wincing at the revenue and staff time lost to denials that could be invested elsewhere. So, if you’re looking for ways to do more with less and stop the bleed of rising healthcare costs, perhaps cutting edge AI and automated solutions could hold some of the answers?

Visit us at booth #405 during HFMA’s annual meeting or visit www.experianhealth.com/analytics to learn more.

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There is no question that providers’ bottom line has been hit hard this year, and a new surge in COVID-19 is bound to threaten hospital finances once again. As healthcare providers look to supercharge their payment velocity during these uncertain times, it’s worth taking a step back to examine the revenue cycle management process as a whole: what it is, how it works, and the clear actions providers can take to improve the process overall. Below is an overview of healthcare revenue cycle management and how specifically providers can improve their bottom line now and after the pandemic subsides. What is revenue cycle management? Any business, regardless of industry, needs to develop successful processes and strategies for remaining financially healthy. For hospitals and health systems, that process is revenue cycle management. To run a successful healthcare organization, providers must employ and manage accurate and efficient billing processes. Without it, these organizations will likely have to close their doors and will, as a result, no longer be able to provide quality care for their patient population. How revenue cycle management works in healthcare To put it simply, in order to generate revenue for their organization, providers need to collect payments for services rendered. The process of doing this, however, isn’t always as straightforward and simple as it seems. Think of healthcare revenue cycle management like a journey. It starts when a patient schedules an appointment and ends when all patient payments for medical service(s) received have been collected. As we move through the journey, providers have a lot to manage, starting first with front-end intake process, moving all the way through the back-office operations to ensure payment is ultimately secured. Phases of the revenue cycle management life cycle The revenue cycle management life cycle spans several phases: Schedule visit and secure estimate. To kickstart the process, a patient will book an appointment with a provider or specialist and administrative staff will handle insurance eligibility verification and ultimately establish a patient account for that organization. This is also an opportunity for providers to offer price transparency and provide an estimate for services to be rendered. Registration and check-in. An early and vital step for optimizing the entire revenue cycle management process, this is where providers capture details like medical history, insurance coverage and other patient demographics. Ensuring correct patient information on the front end reduces the errors that cause rework in the back office. Ensure care is authorized by the payer. Still on the front end, this is where provider staff checks whether prior authorization is required for a particular procedure or service. Not securing authorization in advance of service can lead to costly denials, rework, operational inefficiencies, and a poor patient experience. Receive treatment and discharge. Once the patient is discharged, the services provided will be translated into billable charges and a medical billing code will be assigned to the claim. It is crucial to the revenue cycle that these claims be accurately coded, as the re-work for incorrect codes and subsequent claim rejections can be costly and a drain for productivity. Medical claims submitted. The claim must then be submitted to the payer. Submitting accurate and timely claims maximizes the revenue collected and prevents delays in reimbursement. Rejected claims directly affect an organization’s revenue cycle, making it all the more important to get the claim right before it makes its way to the payer. Even if a claim is denied, is important it be resubmitted as quick as possible. Patient payments and collections. Once insurance reviews the claim and provides their reimbursement, patients are presented with their out-of-pocket costs for services rendered. On-time payments made in full are preferable for a healthy revenue cycle, but that isn’t always feasible for patients, especially now given the current environment with COVID-19. This is where quality collections practices can really help to optimize patient payments and reduce bad debt. Challenges in revenue cycle management Any process with this number of touch points is bound to come with challenges, but two major challenges seem to stand out: claims and collections. Navigating healthcare claims is complex and costly. Providers and facilities often get stuck in a cycle of inaccurate claim submissions, denials, corrections and rebilling that delays reimbursement and negatively impacts financial performance. 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Providers would prefer to collect from patients prior to them leaving the office, but it’s not always possible, and for a few reasons. Patients are increasingly unable to pay their medical bills, more are presenting as self-pay (maybe now more than ever during the pandemic), and some may not be aware of subsequent coverage or that they qualify for charity assistance, all which directly impact providers’ abilities to collect. A lack of price transparency for services can make it even more difficult for patients to prepare financially. Benefits of revenue cycle management Despite its challenges, when done right, there are many benefits of revenue cycle management in healthcare. Effective revenue cycle management not only improves the patient experience but improves staff satisfaction as well. Automating the process (billing, coding, claims management, etc.) reduces a lot of the associated administrative burden, which allows providers to focus on the delivery of quality care. An optimized revenue cycle will also lower the rate of denials. As errors and redundancies are addressed and prevented on the front end, fewer claims will be denied. Maybe one of the most obvious benefits of a healthy revenue cycle is maximized collections and revenue, and faster collection processes, especially when the process is automized. The entire collections process can be expedited, lowering administrative burden while also improving accuracy. How to improve your revenue cycle management We recommend providers take a holistic approach to improving revenue cycle management, focusing largely on automating the process and within the following four areas: Automate access Patient access is the starting point for the entire revenue cycle process. Ensuring correct patient information on the front end reduces the errors that cause rework in the back office. patient access. With an automated, data-driven workflow, providers can reduce the errors that lead to claim denials while simultaneously improving access to care for patients through capabilities like online scheduling. Access is further improved by reducing the friction around patient billing by leveraging real-time eligibility verification to deliver accurate patient estimates at registration. Increase collections There is a definitely a delicate balance between ensuring that debts are collected and fostering a positive patient financial experience. It is imperative providers find a way to maximize patient collections while also increasing patient satisfaction. Patient access staff must be the patient’s advocate while also improving the organization’s ability to collect from the patient and payer. By leveraging a data-driven approach, staff can verify patient identity and insurance coverage as well as provide an accurate estimate of payment responsibility ahead of service. Staff even can review data to assess ability to pay and evaluate various payment plan and/or financial assistance options. The further upstream the revenue cycle can be managed the more effective the process will be to ensure the patients are informed prior to service, so they can make their portion of their payment responsibilities as early as possible to accelerate the cash collections for providers and to reduce the need to put significant effort into late stage collections. Streamline claims Providers can improve financial performance with automated, clean and data-driven medical claims management. By integrating claims management software with customized edits into the workflow system, providers can thoroughly review every line of every encounter and verify that each claim is coded properly and contains the correct information before the claim is invoiced and submitted for reimbursement. Encounters can be processed in real time with automatic alerts for incorrect codes or other potential issues before the claims submission. Responses include a detailed explanation of why a claim was flagged, so any necessary modifications can be made prior to submission. Increase reimbursement Healthcare organizations that don’t stay current on payer policy and procedure changes risk payment delays and lost revenue. It can also be difficult for providers to verify the accuracy of payment received from third-party payers. With automated access to the right data, providers can be reimbursed more accurately and quickly, while also strengthening their relationships with payers. Providers can avoid payment delays and lost revenue with automated payer policy and procedure change notifications. Solutions that continuously audit payer contract performance can assure that collections align with negotiated terms. The key for successful revenue cycle management Technology, specifically data and automation, is key to the success of the healthcare revenue cycle. Automation ensures problems don’t continue to effect productivity, and data can be matched precisely to predict, model and optimize financial results. Both can also be used to highlight a patient’s financial situation, as well as their propensity to pay, allowing providers to optimize collection strategies from the start and get patients on the right programs.

Published: December 10, 2020 by Experian Health

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