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5 Tips for How Hospitals Should Prepare for RCM Automation

The promise of automation in RCM is undeniable, but achieving it requires more than simply adopting new tools. Hospitals must take deliberate steps to prepare their people, processes, and systems for change. 

Revenue cycle management (RCM) is consistently considered among the top use cases for artificial intelligence (AI) and automation in healthcare. 

For those familiar with healthcare finance, the potential advantages of AI and automation for RCM are clear. RCM is filled with repeatable, frequent processes that can be standardized — such as prior authorizations, referrals, claims management, and admission notifications — making it especially well-suited to the efficiencies automation can deliver.

By streamlining these common RCM tasks, automation can reduce administrative burdens and expenses while enhancing efficiency and productivity, according to the American Hospital Association

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Already, 74% of hospital chief financial officers and revenue cycle leaders said they use automation or are in the process of implementing it in their revenue cycle operations, according to Deloitte.

With today’s technologies, such as automation and AI, it is possible to free up to 50% of time for revenue cycle professionals to take on more strategic and relationship-building responsibilities, according to Deloitte.

For hospitals, successful automation begins with strategic readiness. 

Following are five essential tips to help hospitals prepare for automation and unlock new levels of efficiency, productivity, and performance across RCM.

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Map current workflow pain points: Before automation can deliver results, hospitals must have a clear understanding of where inefficiencies exist in their current revenue cycle processes. RCM is inherently complex, with large teams spanning multiple functions and workflows. That complexity often creates bottlenecks, redundant steps, or inconsistent processes, which in turn lead to longer reimbursement timelines, higher staff burnout, and weaker cash flow.

Mapping out these workflow pain points provides the foundation for a targeted automation strategy. Identifying which steps are highly manual, prone to error, or duplicated allows leaders to prioritize the processes most in need of automation. By visualizing every stage of the claim or authorization workflow, organizations can uncover where delays occur, such as handoffs between departments or payer-specific slowdowns. With this knowledge, automation becomes a tool for precision rather than guesswork, enabling measurable improvements in speed, accuracy, and efficiency.

Assess technology infrastructure and interoperability: A common pitfall in automation initiatives is underestimating the importance of technology infrastructure. Even the most sophisticated automation solutions will falter if they cannot integrate with a hospital’s existing systems. Seamless interoperability with electronic health records (EHRs), payer portals, and other core technologies is essential to avoid costly disruptions or workarounds.

Hospitals preparing for automation should begin by assessing whether their IT environment can support new tools without creating friction. This means evaluating system compatibility, data-sharing capabilities, and scalability. The goal is to ensure that automation can plug into existing workflows rather than force staff to adopt parallel processes. Investing in strong infrastructure upfront reduces risk, accelerates deployment, and sets the stage for sustainable automation growth.

Benchmark key performance metrics: Automation is not a blanket solution; it is most effective when aligned with an organization’s specific performance goals. Benchmarking key metrics before implementation provides the baseline needed to measure progress and determine where automation will yield the greatest return. Typical benchmarks might include cost-to-collect, denial rates, days to authorization, time spent per claim touch, and write-off amounts.

By establishing these benchmarks, hospitals gain clarity on both the pain points and the potential value of automation. Tracking improvements over time also keeps teams accountable and ensures that automation remains tied to tangible outcomes. Ultimately, benchmarking empowers leaders to demonstrate value to stakeholders and refine their automation strategy based on real-world results rather than assumptions.

Evaluate team readiness and change appetite: Technology alone does not guarantee success: People are at the heart of any automation initiative. Hospitals must assess whether staff are ready for change and create a plan to build buy-in across the organization. Resistance is natural, especially in healthcare, where employees are accustomed to established workflows and wary of disruptions.

Preparing the workforce involves transparent communication about the goals of automation, training that equips staff with the skills they need, and opportunities for teams to provide feedback. Hospitals that engage employees early in the process are more likely to see smoother adoption and stronger long-term results. By framing automation as a tool that reduces administrative burden and enables staff to focus on higher-value activities, leaders can help shift mindsets from apprehension to enthusiasm.

Continue to iterate and identify new opportunities: Automation should be viewed as a journey, not a one-time project. Once hospitals begin to see the benefits of automation in certain areas of the revenue cycle, it becomes essential to continually evaluate new expansion opportunities. This iterative approach allows organizations to build on their successes and adapt to evolving challenges, payer requirements, or regulatory changes.

Regularly reassessing workflows ensures that hospitals remain proactive rather than reactive. As technology advances and organizational needs shift, new use cases for automation will emerge — from denial management to patient financial engagement. A culture of continuous improvement ensures that automation is not just implemented, but embedded as a core driver of efficiency, economic sustainability, and patient satisfaction.

Readiness drives results

The promise of automation in RCM is undeniable, but achieving it requires more than simply adopting new tools. Hospitals must take deliberate steps to prepare their people, processes, and systems for change. 

Mapping workflow pain points ensures that automation targets the right problems. Assessing infrastructure and interoperability prevents costly implementation challenges. Benchmarking metrics provides clarity and accountability. Engaging teams drives adoption, while continuous iteration extends the value of automation over time.

Taken together, these steps create a roadmap for hospitals to not only implement automation successfully but to sustain its benefits well into the future.

Image: erhui1979, Getty

Jamie Hill-Walters, CRCR, serves as Chief Customer Officer at Janus Health, bringing with her nearly 20 years of healthcare revenue experience. As CCO, Jamie leads Janus Health’s client-centric strategy, overseeing the delivery of exceptional client experience and ensuring our products, services, and operations are aligned with client needs and expectations. Prior to joining Janus Health, Jamie was the Chief Revenue Officer at Alpha II, serving on the leadership team through two acquisitions and a strategic investment from TA Associates & Westview Capital Partners. Prior to Alpha II, she held various leadership positions at Ensemble Health Partners and Healthcare Payment Specialists, acquired by TransUnion. The former president of the HFMA Lone Star Chapter, Jamie has worked with the largest healthcare systems in the United States, many recognized in U.S. News and World Report’s “Best Hospitals in the United States.

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