How to Achieve Financial Automation in Care Management

However, manual back-office processes and inherent challenges with financial management often hinder organizations from employing data-driven decision-making. To uncover meaningful insights that enhance care management workflows, health teams have to stop managing spreadsheets and start managing data. Financial automation is critical for bridging this gap and truly transitioning to data-driven performance.

This guide outlines the steps healthcare organizations can take to optimize their financial processes by leveraging automation.

Identify Gaps In Your Financial Workflows

Optimized workflows begin with recognizing where your organization could benefit from automation. For instance, perhaps a practice already leverages chronic care management software for automated patient outreach but lacks technology for back-office functions, such as translating services rendered into billing codes.

To identify gaps in your organization’s financial processes, there are two major conflicts to consider: missing functionalities that lead to blind spots and inefficient workflows. 

Financial Blind Spots

Financial blind spots represent areas within your care management workflows where a lack of structured solutions or sufficient software features prevents performance improvement. These blind spots obscure your organization’s actual financial health and can lead to: 

• Significant cost overruns
• Missed revenue opportunities
• Lack of measurable ROI
• Suboptimal cost savings
• Limited tracking to ascribe value to care management programs

To identify and eliminate these challenges, healthcare leaders must actively seek an end-to-end view of operations. This holistic view extends from the initial patient encounter through to invoice processing and provider reimbursements. Seeing the complete picture requires your organization to implement systems and processes that connect specific care outcomes to their true financial costs. 

Delayed Workflows

Manual processes greatly contribute to healthcare inefficiencies. Whether it’s following up on a high volume of outstanding claims or processing provider reimbursements, delays stemming from manual review and approval can impact an organization’s bottom line.

Financial automation tools (like Agentic Pairsoft) increase efficiency and reduce errors. But first, healthcare teams must identify areas where manual processes are hindering overall productivity. To identify these gaps, healthcare CFOs and financial leaders should consider:

• Reimbursement friction: What administrative overhead and delays exist in processing provider reimbursements or incentive payments due to manual invoice and approval processes?
• Budget variance: How much time do staff members spend investigating discrepancies between budgeted and actual expenditures, and how can teams streamline this process?
• Data hygiene: What processes has the organization put in place to ensure data quality and integrity, and are those processes optimized?

As the saying goes, “you don’t know what you don’t know.” Identifying resource-intensive workflows can be a significant challenge for healthcare organizations because, without clear visibility into every step of a process, inefficiencies can easily go unnoticed and become accepted as the status quo. 

To overcome this challenge, financial and operational leaders can benefit from actively exploring the features and capabilities of modern automation tools. By understanding what these tools can achieve — for example, automating invoice processing — health leaders can gain a fresh perspective on their existing workflows and pinpoint opportunities for greater efficiency that they might not have previously considered.

Connect Financial and Clinical Data

Under VBC contracts, providers are compensated based on the results they achieve, meaning financial outcomes are directly tied to clinical activities. For example, if a care management program reduces ER visits by 10%, that reduction translates directly into shared savings or improved margin. The clinical action (outreach, care coordination) drives the financial outcome. 

Arcadia’s value-based contracting guide explains the connection between care delivery and financial activity like this:

• Quality: VBC agreements generally establish a method for attributing a member’s outcomes to the provider’s efforts. They outline the metrics that measure a provider’s performance and specify the benchmarks that indicate whether a provider is better, worse, or equal to their peers.
• Cost: Contracts often define the financial benchmarks that providers must aim for, a limit on how much the cost can increase each year, and the specific incentives providers can expect from meeting or exceeding performance targets.

Because quality and cost are closely linked in care management, financial and clinical data must also be integrated for efficient automation. Think of it like a group message versus individual messaging; Integrated data provides a direct path for automation tools to streamline critical workflows across organizational functions rather than having to perform activities in isolated databases.

This integration is vital to ensure finance teams can clearly see the cost of care at every level, from individual supply costs captured on an invoice to the overall spend per patient population.

Achieving this level of integration involves syncing databases and regularly reviewing your organization’s existing technology. For example, revenue cycle management (RCM) software and electronic health records (EHRs) each generate distinct types of data and automate different tasks. Integrating those platforms can consolidate disparate data and keep your workflows organized.

Implement AI-Driven Automation Tools

Financial automation requires a data infrastructure built to handle complexity, and artificial intelligence (AI) is rapidly becoming the core technology for managing complex information. AI can efficiently and thoroughly analyze a health organization’s unique dataset and apply insights to optimize financial processes. 

For example, AI can identify patterns in patient billing, flagging potential errors or opportunities for cost savings. It can also analyze and automatically code complex invoices based on established spending patterns, significantly accelerating AP processing time.

In addition to driving financial efficiency, applying AI to an organization’s tech stack can enhance various functions across the care continuum, including:

• Streamlining patient scheduling
• Summarizing clinical notes
• Generating patient outreach and education
• Recommending formulas for potential drug candidates
• Proposing treatment plan options

AI-driven healthcare tools do more than just enhance efficiency. By connecting an organization’s data to operational workflows, AI integrates informed decision-making in every process it runs. 

By leveraging AI to automate tasks, finance teams also leverage technology that will make recommendations based on data-driven insights. As such, these tools support a new level of operational efficiency and financial performance.

The path to success in care management is clear: healthcare leaders must streamline financial processes to empower informed resource allocation decisions, ensure adherence to contractual obligations, and achieve performance objectives. 

Achieving financial automation in care management requires a combination of intelligent technology and intentional strategies. Ultimately, financial automation enables teams across the care continuum to collaborate more effectively and achieve a more efficient future.