Communication Volume Forecasting

Communication Volume Forecasting: Definition & Benefits

Content

Why communication volume forecasting matters for clinics

Communication volume forecasting is the practice of estimating how many messages and calls your clinic will handle in a specific period. It covers phone calls, text messages, portal messages, emails, and sometimes internal handoffs that start from a patient request.

Why does this matter so much for access and throughput? Because communication volume is one of the main engines behind your front office workload. A study summarized by the American Medical Association found that while phone call volume has stabilized compared with the peak of the pandemic, patient portal messages have meaningfully increased and stayed high, which adds persistent work on top of existing channels. In parallel, the United States Surgeon General has called out administrative burden as a key driver of health worker burnout and has urged systems to reduce repetitive tasks that do not add value to care.

If you combine those two trends, more digital messages layered on top of steady call volume and rising administrative expectations, you get a simple reality. If you do not anticipate communication demand, your staff absorbs the shock directly. That affects:

  • Access, when it takes longer to reach a human or get a message answered
  • Throughput, when intake, scheduling, or authorizations slow down
  • Staff workload, when people spend evenings catching up instead of closing the loop during the day

Forecasting does not magically reduce demand, but it makes that demand visible. Once you can see it, you can staff for it, automate part of it, or redirect some of it to self service tools such as patient portal software.

How communication volume forecasting actually works

At its core, communication volume forecasting is a structured way to answer two questions. What usually happens here? What is likely to change in the next few weeks?

You start with historical communication data. That includes:

  • Call counts by day and hour
  • Portal or secure message counts
  • Text or chat volume
  • Basic context, such as clinic hours, provider templates, and holidays

If you already track front office metrics or operational KPIs for clinics, you are partway there. You then look for patterns. Most clinics see:

  • Heavier volume on certain weekdays
  • Morning or early afternoon peaks
  • Seasonal spikes tied to school calendars or benefits resets

On top of those recurring patterns, you add what you know is coming. New providers, an expanded referral network, tighter prior authorization rules, or a push to increase use of patient reminder automation will all shape future communication volume.

Once you have both pieces, history and upcoming changes, you can build short term forecasts. These are usually one to three months out. They do not need to be perfect. They just need to be credible enough to guide staffing, automation, and service level expectations.

When all of your calls, texts, emails, and intake forms feed into a single view, for example through a unified inbox that also supports AI intake automation for outpatient facilities and specialty practices, it becomes much easier to see patterns by channel and location. Platforms that sit on top of your EHR and practice management systems can surface that data without the team exporting and stitching together reports every week.

Steps to adopt communication volume forecasting

If you want to put this into practice without turning it into a research project, you can follow a simple sequence. Each step can be handled by an operations leader with basic reports.

  1. Gather what you already have: Pull three to six months of data from your phone system, portal, and any messaging tools. Even if the data is not perfect or fully standardized, it is better than guessing. Focus on counts by day, and if possible, by hour.
  2. Separate channels and locations: Look at calls, portal messages, and texts separately. A portal surge has different implications than a call surge, and multi site practices often have one location that carries more of the load.
  3. Map volume to your intake and scheduling work: Overlay communication volume with new patient requests, referral volume, and visit counts. If you already use referral management software or track portal driven scheduling, bring those numbers into the same view. This helps you see where communication is directly tied to throughput, not just noise.
  4. Identify recurring peaks: Circle the weeks and days when volume consistently runs hot. Ask a simple question. Do these align with anything obvious, such as marketing pushes, start of school, end of deductible periods, or policy changes?
  5. Incorporate known upcoming changes: List any changes in the next quarter that could affect communication. New clinicians, expanded hours, a shift to more telehealth, a fresh portal campaign, or a new payer contract. Assume each of these will influence volume in some direction.
  6. Sketch a short forecast: Use your historical peaks and upcoming changes to sketch a month by month and week by week view of expected volume. It may live in a spreadsheet at first. The goal is a baseline, not a perfect predictive model.
  7. Link the forecast to staffing and automation: Decide how you will respond. That can include adjusting front office schedules, extending call center coverage on specific days, or leaning harder on tools such as portal integration and coordination of benefits workflows that reduce back and forth. If you use an AI intake automation layer that feeds your EHR and practice management systems, make sure those queues are tuned to absorb common high volume tasks first.
  8. Compare forecast to reality and refine: At the end of each month, compare what you expected to what happened. Where did you underestimate, and why? Where did you overestimate? Over a few cycles, your forecast will become much more trustworthy.

Common pitfalls and how to avoid them

Several patterns tend to trip clinics up when they first try communication volume forecasting.

First, they treat all communication as one blended number. That hides important differences. Portal volume may be rising faster than calls. Automated reminders may cut some calls but trigger more portal replies. Separate your channels.

Second, they forget about upstream workflow decisions. If your team changes how it handles merge unmerge policy for patient identities or tightens subscriber dependent relationship codes validation, you may see more questions and clarifications from patients and payers. Communication volume does not live on its own. It reflects what is happening in eligibility, authorizations, and billing.

Third, they underestimate the impact of burnout. If you treat your forecast purely as a way to extract more work from the same headcount, staff will experience it as one more pressure point. The goal is to keep access and throughput high without quietly eroding people’s capacity to stay in the job.

Finally, they never connect forecasting to decision making. A forecast that lives in a slide deck but does not affect staffing, queue design, or automation priorities does not help the clinic.

FAQ on communication volume forecasting

What types of communication should we include in a forecast?
You should include patient facing phone calls, portal and secure messages, text messages, emails that arrive through published addresses, and any internal tickets that start from patient requests. The goal is to capture the full picture of patient initiated contact.

How is communication volume forecasting different from call volume forecasting?
Call volume forecasting looks only at telephone traffic. Communication volume forecasting includes all channels, which reflects reality in clinics where portal messages and texts now sit alongside a steady stream of calls.

Is this only worth doing for large clinics?
No. Smaller practices often feel the shocks more acutely because they have less staffing buffer. Even a very basic forecast can help a small team decide when to stagger lunches, when to add a part time shift, or when to push more activity into self service options.

How often should we update our forecasts?
Most clinics review forecasts monthly and do a slightly deeper refresh each quarter. You may want more frequent reviews during periods of rapid change, such as a major payer shift or a push to grow visit volume.

Do we need advanced analytics tools to get started?
You can begin with simple reports from your phone system, messaging tools, and EHR, plus a spreadsheet. Over time, it becomes more efficient to connect everything to a platform that functions as a unified inbox and AI intake automation layer for outpatient facilities and specialty practices and that integrates directly with your EHR and practice management systems. That combination lets you forecast and then act on the findings with measurable time savings for staff.

A short action plan you can start this week

If you want to move this forward without waiting for a strategic planning retreat, you can do three things in the next seven days.

  • First, pull three months of basic communication data by day for calls and portal messages, and look for the obvious peaks.
  • Second, pick one or two high volume weeks and trace how that volume affected intake, scheduling, and follow up. Use this to frame one specific change, for example more portal triage or tighter use of EHR PM system integration so staff are not entering the same data twice.
  • Third, bring a one page summary to your next operations meeting. Include the pattern you see, one practical forecast for the next month, and one staffing or automation experiment you are willing to try. Review the results at the following meeting and refine.

If you repeat that cycle, even a few times, communication volume forecasting shifts from a theoretical concept to a habit. It becomes part of how you protect access, maintain throughput, and give your staff a workload that is demanding but not impossible.