AI Workflow in Medical Billing
Introduction Medical billing has long been plagued by paperwork, manual errors, and time consuming back and forth between providers, insurers, and patients. But the integration of the AI workflow in medical billing is quietly changing that. By handling tasks that once required hours of manual effort, AI is now making the billing cycle faster, more accurate, and less stressful for everyone involved. This blog looks at how AI fits into each stage of the billing cycle. From checking insurance details when a patient arrives to handling claim status updates and payment tracking, AI is quietly becoming a helpful tool for billing teams. If you’re looking for a clear explanation of how AI works in this area without the jargon, you’re in the right place. 1. Intelligent Eligibility and Benefits Verification The Traditional Pain Points Manual eligibility verification typically involves staff members making phone calls or navigating multiple payer portals, consuming 10-15 minutes per patient. This process is particularly challenging when dealing with complex insurance plans, frequent policy changes, or patients with multiple coverage types. Errors at this stage cascade through the entire billing cycle, leading to claim denials and patient dissatisfaction. AI-Powered Solutions in Action Advanced AI systems now integrate directly with over 600 payer databases, performing real-time eligibility checks in seconds. These systems utilize machine learning algorithms that understand payer-specific nuances and can interpret complex benefit structures. For example, an AI system might detect that a patient’s plan requires a specific facility type for MRI services or identify that their deductible resets mid-year due to a job change. Smart verification platforms also employ predictive analytics to flag potential issues before they occur. If a patient’s insurance history shows frequent plan changes, the system might recommend verification closer to the appointment date. Some systems even integrate with patient scheduling platforms to automatically verify eligibility when appointments are booked weeks in advance. Measurable Impact Healthcare organizations implementing AI-driven eligibility verification report 85% reduction in eligibility-related denials and 60% decrease in prior authorization delays. Patients benefit from accurate cost estimates upfront, with some practices seeing 40% improvement in payment collection rates due to better financial transparency. 2. Automated Prior Authorization Management Streamlining Complex Approval Processes Prior authorization requirements vary significantly across payers and can involve hundreds of different criteria. AI systems now maintain dynamic databases of payer rules, automatically identifying which procedures require approval and what documentation is needed. Natural Language Processing analyzes clinical notes to extract relevant information and populate authorization requests automatically. Advanced systems also employ robotic process automation to submit requests through payer portals and track their status. When additional information is requested, AI tools can identify the specific requirements and alert clinical staff with targeted requests for missing documentation. 3. Precision Coding with Machine Learning Beyond Basic Code Suggestion Modern AI coding systems go far beyond simple code lookup. They analyze complete patient encounters, understanding the clinical context and relationships between diagnoses and procedures. For instance, when reviewing a surgical note, AI can identify not just the primary procedure but also recognize when additional codes are warranted for complications, co-surgeries, or medical device implantations. Machine learning models trained on millions of coded encounters can identify subtle patterns that human coders might miss. These systems continuously learn from feedback, improving accuracy over time. Some platforms now achieve coding accuracy rates exceeding 95%, compared to industry averages of 85-90% for manual coding. Compliance and Audit Support AI coding systems maintain detailed audit trails, documenting the rationale behind each code assignment. This capability is invaluable during payer audits or compliance reviews. Advanced systems can even simulate different coding scenarios to optimize reimbursement while maintaining compliance with guidelines. 4. Intelligent Claims Processing and Scrubbing Proactive Error Prevention AI-powered claims scrubbing goes beyond basic data validation. These systems employ sophisticated algorithms that understand payer-specific requirements, seasonal billing patterns, and even individual claims adjudicator preferences. They can identify potential issues like unusual procedure combinations, billing frequency anomalies, or documentation gaps that might trigger manual review. Smart scrubbing systems also incorporate feedback loops, learning from each claim response to refine their detection algorithms. If a particular payer begins denying claims for a specific reason, the system adapts its scrubbing rules accordingly. 5. Predictive Denial Management Turning Data into Actionable Insights AI denial management systems analyze historical patterns across multiple dimensions-provider, payer, procedure type, patient demographics, and even seasonal trends. This analysis enables precise prediction of denial likelihood and automated workflow routing. High-risk claims might be flagged for additional review, while low-risk claims can be fast-tracked through processing. When denials do occur, AI systems can automatically categorize them, identify root causes, and even draft appeal letters using templates and case-specific information. Some advanced systems achieve denial overturn rates of 60-70% through intelligent appeal strategies. 6. Automated Payment Processing and Reconciliation Streamlining Financial Operations AI payment processing systems handle the complex task of matching payments to services across multiple payers and payment types. They can identify patterns in underpayments, flag potential errors, and even predict which accounts are likely to require follow-up based on historical payment patterns. Advanced reconciliation systems use optical character recognition and natural language processing to interpret various payment formats, from standard ERA files to paper EOBs with inconsistent formatting. 7. Personalized Patient Financial Engagement Enhancing the Patient Experience AI-driven patient billing platforms create personalized communication strategies based on individual patient preferences, payment history, and financial capacity. These systems might send text reminders to younger patients while mailing paper statements to older demographics, or offer extended payment plans to patients with historical payment difficulties. Predictive models can identify patients likely to have payment difficulties and proactively offer financial assistance programs or payment plans before accounts become delinquent. 8. Advanced Analytics and Performance Optimization Real-Time Business Intelligence Modern AI analytics platforms provide healthcare leaders with unprecedented visibility into their revenue cycle performance. These systems can identify trends in real-time, predict cash flow impacts, and recommend operational adjustments. For example, if denial rates spike for a particular procedure, the system might recommend additional staff training
Can Primrose help us collect more upfront?
Introduction Healthcare practices across the United States are dealing with a significant change in how patients pay for care. Aside from those covered by Medicare or Medicaid, most individuals now have plans with large deductibles or pay for services themselves. This shift has made revenue collection more challenging than ever. The key question for practice administrators is no longer whether to collect payment upfront at the time of service, but how to collect more upfront using methods that deliver real and reliable results. The Hidden Cost of Delayed Collections Traditional billing is causing serious revenue losses for many healthcare practices. On average, self-pay patients pay less than ten percent of their total bill. This low figure should raise concern for anyone responsible for managing accounts receivable. Consider a typical example. A patient receives a procedure that costs $2,000. If the patient is in the self-pay category, the practice might collect only $200. That leaves $1,800 unpaid. Recovering this amount is often difficult. It can result in bad debt, extra collection costs, and added administrative work. In many cases, the effort and expense can exceed the value of the original service. The situation worsens when looking at how long it takes to collect payments. Traditional billing cycles often stretch beyond 90 days, putting pressure on cash flow. This delay can force practices to depend on loans or postpone important expenses like equipment upgrades and staffing. Primrose’s Pre-Service Collection Architecture Primrose sends reminders prompting patients to complete their check-in online and allows payments to be collected during that process. This helps practices collect more upfront by shifting the payment timeline from after the visit to before the service takes place. While the change may seem small, it has a major impact on practice finances. The system uses several touchpoints to help secure payments ahead of time. During check-in, patients can view their balance, reducing the chance of surprise charges that often lead to delays or disputes. For practices using Primrose’s Premium plan, collection efforts go beyond digital tools. The patient call team handles questions about balances and statements, and collects copays and deductibles over the phone as part of the check-in process. This multi-channel approach helps make sure every opportunity to collect payment is used. Digital Payment Infrastructure Modern patients expect digital payment options. Patients have a code that they can enter on our payment portal to make a payment online, providing 24/7 payment accessibility that aligns with consumer behavior patterns. This convenience helps practices collect more upfront by meeting patients where they are. With 60% of patients saying they want more online options to pay bills, providers that continue to rely on checks and phone calls are missing a major opportunity. Financial Impact Analysis: Before and After Implementation The revenue impact of effective upfront collection strategies extends beyond simple payment acceleration. Research demonstrates that an increase of 60% in collections when the price is offered upfront with no additional surprises. Cash Flow Transformation Practices that adopt strong upfront collection strategies often see major improvements in managing their cash flow. Rather than waiting 60 to 90 days for patient payments, they receive payment before or right after the service is provided. This faster timeline reduces the need to rely on financing to cover daily expenses during long collection cycles. Administrative Cost Reduction Every dollar collected upfront eliminates future collection activities. Practices report significant reductions in: Statement generation and mailing costs Collection call center expenses Third-party collection agency fees Bad debt write-off losses Administrative staff time devoted to follow-up activities Patient Satisfaction Correlation Consolidating billing and collecting payments upfront can improve a patient’s experience by clarifying their responsibilities. This clarity builds trust and gives them peace of mind, knowing they won’t be surprised by a bill later. This transparency reduces patient anxiety and eliminates post-service billing disputes. Return on Investment Analysis Primrose offers billing solutions that help healthcare practices reduce claim rejections. It also improves reimbursements and increases revenue. There are no upfront fees, making it easier for practices to get started. With no setup costs, practices can begin using the system without financial strain. Many see faster improvements in cash flow right away. The financial benefits add up quickly. Payments come in faster. Administrative costs go down. Losses from unpaid bills are reduced. Daily operations become more efficient. Most practices report a positive return on investment within the first few months. Conclusion The question “Can Primrose help us collect more upfront?” has a clear answer—yes, and the results speak for themselves. Practices that adopt strong upfront collection strategies see noticeable gains in cash flow, smoother operations, and better patient experiences. As healthcare becomes more consumer-focused, offering clear pricing and collecting payments early can help build trust and keep patients coming back.These improvements not only protect revenue but also speed up payment timelines. For today’s healthcare practices, collecting payments upfront is no longer a choice—it’s a necessity. Primrose gives you the tools, guidance, and support to make it happen, all while keeping patient care at the center.
Prior Authorization Optimization
Introduction Prior authorization is one of the biggest administrative challenges for medical practices. Insurance companies often require approval before certain treatments, medications, or procedures can be provided. This slows down the process and adds stress to both the revenue cycle and patient care. But with the right steps, prior authorization optimization can make this task more manageable. Medical practices can reduce the delays and confusion that come with it. This can lead to fewer denials and quicker approvals. This blog focuses on useful ways to make the prior authorization process smoother. It offers tips that can help improve cash flow and lead to better experiences for both staff and patients. The Prior Authorization Challenge Prior authorization rules are becoming more common across healthcare. A recent study found that 89% of doctors say the workload has grown over the last five years. On average, each doctor now handles 41 prior authorization requests every week. These tasks take up about 16 hours of combined time from doctors and staff. That’s nearly two full business days spent on paperwork instead of treating patients. The impact goes beyond lost time. Delays in the approval process can affect patient care. About 24% of doctors say these delays have caused serious health problems for their patients. Key Components of Prior Authorization Optimization Strategic Process Assessment To improve the prior authorization process, start by reviewing how things currently work as part of your prior authorization optimization efforts. Look at how many requests are made and which procedures, providers, and payers are involved. Check how long different types of authorizations take. Track the most common reasons for delays or denials. Measure how staff time is used during each step. Review what tools or systems are used and how they connect with each other. This kind of review helps you find specific problem areas. It allows you to focus on what really needs to be fixed instead of applying broad changes that may not work. Proactive Requirements Management A good way to improve prior authorization is to shift from reacting to issues to planning ahead. Start by building a clear database of procedure codes and what each insurance company needs for approval. Create checklists for each type of service that include the usual documents required. Set up alerts to notify staff when a procedure needs approval during scheduling. Use templates that match the usual paperwork each payer expects. Doing this early in the process helps staff start approvals sooner. It also increases the chance of submitting everything correctly the first time. Staff Specialization and Training Prior authorization can be complicated and may need focused attention. Instead of splitting the work among many team members, consider assigning it to dedicated roles. Train certain staff to handle specific insurance companies. This helps them learn the rules and steps for each one. Offer training that focuses only on how to handle authorizations effectively. Set up a clear process for sending tough cases to a medical provider when needed. This kind of focus helps staff build stronger skills, notice common issues, and form helpful connections with insurance reps. Technology Integration and Automation Technology can help make prior authorization optimization more effective. Use practice management systems that support electronic prior authorizations. Add tools that can pull needed medical information directly from electronic health records. Set up tracking systems to monitor requests that are still waiting for approval. Use automated status checks to cut down on time spent making follow-up calls. Consider artificial intelligence solutions that can predict authorization requirements and completion likelihood The best results come when these tools fit into your current workflow. Avoid adding new steps that make things more confusing. Data-Driven Continuous Improvement Improving prior authorization is not a one-time task. It requires regular review based on actual results. Track important numbers like approval rates, how often requests are approved on the first try, and how long approvals take. Look for common reasons behind delays and denials. This helps find weak points in the process. Review the full workflow often to check if staff are following the right steps. Compare your results with general industry averages to see where you can do better. Using real data helps practices make changes based on facts—not guesses. Strategic Optimization Approaches Clinical Documentation Enhancement Many authorization denials happen because the clinical documentation is missing key details or is not formatted correctly. To fix this, start by creating templates for each type of procedure. These should match the usual requirements from payers. Use tools that remind providers to include important details when entering clinical notes. Add a review step before sending out authorization requests to catch any missing information. Create examples of well-done documentation to use during staff training. These steps help make sure the paperwork clearly supports the need for the treatment from the beginning. Payer Relationship Management Building strong connections with key insurance companies can help improve the authorization process. Start by finding the right contacts for handling urgent or complex cases. Set up regular meetings with provider representatives to discuss ongoing problems. Join training sessions offered through payer portals to better understand their systems. You can also take part in pilot programs that test faster approval methods. These efforts often lead to quicker solutions and can fix larger issues more easily than handling each case one at a time. Patient Engagement Strategies Including patients in the authorization process can lead to better results. Use clear scripts to explain what authorizations are and how long they might take. Set up systems that let patients know the status of their requests ahead of time. Provide easy-to-read materials that show patients what they can do to help. Consider adding updates to patient portals so they can track progress on their own. These steps help patients stay informed and involved. They can also speak up if there are delays or problems. Implementation Best Practices Thoughtful implementation planning is key to successful prior authorization optimization. Start with the areas that matter most. Focus first on procedures with
Front Desk Risk Alerts
Introduction In busy healthcare settings, the front desk is where patient service meets financial processes. For medical billing specialists and administrators, this area presents key challenges that can affect revenue accuracy, regulatory compliance, and overall patient experience. Front desk risk alerts can help identify and address potential issues early. This blog outlines the main risk factors tied to front desk billing operations and offers practical steps to address and reduce those risks. The Front Desk’s Pivotal Role in Medical Billing The front desk is the starting point of the revenue cycle in healthcare. Staff in this role greet patients, schedule appointments, and gather key information. This includes patient details and insurance data, which are essential for accurate billing. Even one mistake at this stage can disrupt the entire revenue cycle. It can lead to delays, claim denials, and compliance issues. Billing errors are common at the front desk due to several factors. High patient volume, constant multitasking, and the pressure to create a positive experience all contribute.These issues are made worse by frequent changes in insurance policies and regulations. Critical Medical Billing Risk Alerts for Front Desk Operations Insurance Verification Failures A major vulnerability arises when front desk staff do not verify insurance coverage before a patient receives care. This often happens because of time pressure, limited system access, or missing steps in the process.If verification is skipped, the practice may treat patients with inactive insurance, maxed-out benefits, or plans that exclude certain procedures. This leads to a higher number of claim denials. It also causes payment delays and makes it harder to collect balances after the service has been provided. Incomplete Patient Demographics Small mistakes in patient demographic details can lead to serious billing problems. Errors in names, birth dates, addresses, or policy numbers often cause claims to be denied.Fixing these issues usually requires time-consuming and costly manual corrections. These mistakes tend to happen during busy check-in times or when staff skip verification steps. Tools like patient portals and electronic registration can reduce errors. However, they also bring new risks if not carefully monitored and maintained. Authorization and Referral Management Gaps Many procedures and specialist visits need prior authorizations or referrals. If front desk staff do not check these requirements or secure the right paperwork, claims are often denied. The situation becomes more complex when working with multiple insurance payers. Each one has different rules and timelines for authorizations. Without a strong tracking system, authorizations can expire before the patient receives care. This adds more complications to the billing process. Time-of-Service Collection Deficiencies Not collecting co-pays, co-insurance, or outstanding balances during check-in can hurt cash flow and raise collection costs.Front desk staff often struggle with these financial conversations, especially if they don’t have clear guidelines or feel unsure about how to discuss payment. When collections are handled inconsistently, it leads to delayed revenue. It also sends the wrong message to patients about when and how payments are expected. Compliance and Documentation Risks The front desk handles many documents that are important for compliance. These include acknowledgments of privacy practices, consent forms, and assignment of benefits.If any of this paperwork is incomplete or missing, it can lead to compliance issues. It can also slow down or block the billing process. Medicare’s rules for Advance Beneficiary Notices (ABNs) are especially challenging. Front desk staff need to know when an ABN is required and make sure it’s correctly filled out before the patient receives care. Effective Risk Mitigation Strategies Automated Insurance Verification Workflows Strong insurance verification procedures are essential to reduce claim denials: Use technology that allows batch verification 24–48 hours before scheduled appointments. Set clear steps for recording verification results and flagging any coverage issues. Provide front desk staff with scripts to help them explain insurance details to patients. For high-cost procedures, add a second layer of verification during check-in. Comprehensive Registration Quality Assurance Accurate demographic information relies on both the right tools and consistent processes: Use address verification software to check patient details against official postal records. Run regular audits of registration data to spot and correct common mistakes. Set up mandatory fields in electronic forms to avoid incomplete entries. Require photo ID from patients to help prevent identity errors. Authorization Management Systems Managing authorizations and referrals effectively requires organized systems: Use tracking tools with automated alerts to monitor expiring authorizations. Build checklists for each procedure that include specific requirements for each payer. Establish clear responsibility chains for obtaining and documenting authorizations. Set up communication routines between clinical teams and front desk staff to stay updated on authorization status. Point-of-Service Collection Enhancement Improving collections at the time of service needs clear policies and staff support: Give front desk staff straightforward scripts to guide conversations about payment responsibilities. Use estimation tools to calculate what patients owe before their appointment. Create consistent rules for collections and payment plans. Offer a variety of payment options, including electronic methods. Consider incentive programs to reward staff for successful collections. Compliance Training and Documentation Strengthening compliance procedures helps safeguard revenue and maintain organizational integrity: Provide thorough compliance training specific to front desk duties. Use checklists to guide workflows for essential documentation. Conduct regular audits of processes that impact compliance. Set up clear protocols for escalating compliance-related questions Technology Solutions for Medical Billing Security Modern technology provides valuable tools to improve front desk billing operations: Patient portals that let patients review and update their information before visits. Electronic eligibility verification systems integrated with practice management software. Automated appointment reminders that include prompts for insurance verification. Secure programs to store credit card information for recurring payments and outstanding balances. Electronic signature solutions to streamline compliance documentation. Building a Revenue-Focused Front Desk Culture Building a culture that balances patient experience with strong revenue cycle management needs continuous staff development: Offer regular updates on changes in payer policies and how they affect front desk work. Set clear performance goals focused on important billing metrics. Create career paths that highlight the financial impact of front desk roles. Provide cross-training opportunities
Predictive Frontdesk Tools-How Much to Collect?
Introduction For healthcare organizations, point-of-service collections especially at the frontdesk represent one of the greatest financial opportunities. With patients now covering 30% to 35% of total medical costs, being able to identify and request the right amount during a visit is more important than ever. However, many hospitals and clinics still use basic or outdated collection methods such as fixed copay amounts or rough percentage estimates. These approaches often miss the mark, leading to under collection, higher follow-up costs, patient frustration, and an increase in unpaid bills. New tools at the front desk are helping to solve this problem by providing accurate, real-time estimates of what each patient owes. With better information, staff can collect with more confidence, reducing billing delays and minimizing confusion. For healthcare administrators and physicians, these tools offer a way to strengthen financial performance while keeping the payment process clear and simple for patients. The Growing Patient Payment Challenge Patient collections have become more difficult due to a mix of recent changes. Rising patient responsibility: The average annual deductible for employer-sponsored health plans has increased 111% over the past decade, from $646 to $1,363 Premium plan decline: Enrollment in high-deductible health plans has grown from 4% to 51% of covered workers since 2006 Increased complexity: 68% of patients report confusion about what they owe for healthcare services Collection difficulty: Providers collect only 50-70% of patient balances after service delivery Cost of collection: Each billing statement costs $5-$15 when accounting for all associated expenses Bad debt growth: Patient balances after insurance (PBAI) represent the fastest-growing segment of bad debt for most providers Traditional Point-of-Service Collection Approaches Most healthcare organizations use one of these common approaches to front desk collections: 1. Copay-Only Collection Collects just the fixed copayment amount Ignores deductible and coinsurance responsibility Typically captures only 30-40% of total patient responsibility 2. Flat-Fee Collection Collects a standard amount based on service type Same amount regardless of insurance details Usually collects 40-60% of actual responsibility 3. Percentage-Based Collection Collects a percentage of expected total charges Same percentage regardless of insurance status Typically captures 50-70% of actual responsibility 4. Staff Judgment Collection Front desk staff determine collection amount based on experience Highly inconsistent and person-dependent Results vary widely from 20-80% of actual responsibility What Makes Predictive Front Desk Tools Different Predictive frontdesk collection tools leverage artificial intelligence and real-time data integration to transform point-of-service collections: 1. Real-Time Eligibility Verification Unlike traditional batch eligibility checks, predictive tools provide real-time verification: Current benefit status: Confirms active coverage minutes before appointment Accumulator tracking: Monitors deductible met/remaining in real time Plan-specific details: Captures coinsurance rates, out-of-pocket maximums, and benefit limitations Secondary coverage: Identifies and verifies coordination of benefits information Service-level restrictions: Flags any limitations on specific planned services 2. Patient-Specific Financial Algorithms Rather than generic calculations, predictive tools create individualized estimates: Procedure-specific pricing: Uses actual contracted rates for planned procedures Multi-factor analysis: Considers service, payer, plan, deductible status, and timing Payer-specific rules: Incorporates unique processing rules by insurance plan Historical claim analysis: Uses actual adjudication data to refine predictions Specialty-specific logic: Adapts to the unique requirements of each specialty 3. Pre-Visit Financial Clearance Predictive tools enable financial discussions before the patient arrives: Advance notifications: Patients receive estimates before appointments Self-service options: Online payment portals for pre-visit payments Payment plan setup: Arrangements made before service for larger balances Financial assistance screening: Proactive identification of assistance eligibility Prior balance integration: Consolidated view of all outstanding balances 4. Real-Time Claim Editing Advanced systems identify and correct potential claim issues at the front desk: Demographics verification: Confirms all required patient information is correct Insurance validation: Verifies coverage details and network status Authorization confirmation: Ensures required authorizations are in place Medical necessity verification: Checks that documentation supports medical necessity Coding optimization: Suggests appropriate codes for planned services 5. Price Transparency Compliance Modern tools help meet price transparency requirements while improving collections: Good faith estimates: Generates compliant patient estimates Machine-readable files: Maintains required price transparency data Standardized notice provision: Delivers required patient notices Documentation tracking: Maintains records of estimate provision Dispute resolution preparation: Prepares for potential patient disputes The Financial Case for Predictive Collection Tools For healthcare executives, the business case for implementing predictive frontdesk tools is compelling: Direct Financial Benefits Increased point-of-service collections: Organizations typically see front desk collections increase by 30-50% Reduced billing costs: Statement volume typically decreases by 25-35% Decreased bad debt: Patient bad debt typically reduces by 20-30% Improved staff productivity: Front desk collection time decreases by 40-60% Reduced refund processing: Overcollections typically decrease by 50-70% Indirect Organizational Benefits Improved patient satisfaction: Transparent financial discussions lead to higher satisfaction scores Reduced staff turnover: Front desk staff report higher job satisfaction when equipped with accurate tools More consistent operations: Standard processes reduce person-dependency Better financial forecasting: More predictable collections improve cash flow forecasting Enhanced compliance: Systematic processes ensure consistent regulatory compliance The Future of Patient Collections Looking ahead, several emerging developments will further enhance predictive front desk collections: Mobile-first engagement: Shifting financial discussions to smartphones before visits Payment probability scoring: Using AI to customize collection approaches based on payment likelihood Dynamic payment planning: Automatically generating customized payment options based on amount and patient history Omnichannel collections: Coordinating collection efforts across multiple communication channels Digital wallet integration: Connecting with patient-preferred payment platforms Conclusion The implementation of predictive front desk tools represents far more than a tactical collection improvement. It fundamentally transforms the patient’s financial experience from an adversarial collection process to a collaborative financial engagement. By providing clear, accurate financial information at the beginning of the care journey, healthcare organizations can simultaneously improve their financial performance while improving patient satisfaction. This represents the rare healthcare innovation that benefits providers and patients alike. As patient financial responsibility continues to grow and price transparency requirements expand, organizations that excel at front desk collections will gain significant advantages in terms of financial performance, operational efficiency, and patient loyalty. The question for healthcare executives is not whether to implement predictive front desk collection tools, but how quickly they can do