A Practical Guide to Healthcare Workflow Automation for Medical Practices

Providers can spend an average of 7.3 hours per week on administrative tasks, according to the AMA’s report on physician administrative workload and an average physician workweek. For a lean ambulatory practice, those hours compete with patient care and other responsibilities that require clinical expertise.

Healthcare workflow automation offers another way to minimize and refocus those demands. Instead of asking your team to work faster or later, you can automate routine steps that consume staff time throughout the day.

This article walks through how to find the strongest opportunities for automation in your practice and where to start. It focuses on two outcomes: easing staffing constraints and protecting revenue.

What Healthcare Workflow Automation Does

Healthcare workflow automation uses technology to complete steps your staff would otherwise perform manually. For example, instead of entering information from a patient intake form and then starting an eligibility check, an automated workflow can transfer the information and trigger the check. Your staff steps in only when something needs their judgment or expertise.

There’s an important difference between automating a task and automating a workflow. Task automation performs a single action, such as sending an appointment reminder. Workflow automation for healthcare connects related steps in a workflow, so your staff doesn’t have to transfer information or manually trigger each step.

Here’s how an automated intake and eligibility workflow can work.

How Automation Connects Patient Intake and Eligibility

You can also automate checking insurance eligibility and get automatic alerts when something needs review or is denied.

Healthcare Workflow Automation Saves Time

Time savings with automation add up. For example, assume your practice sees 100 patients a day and staff spend an average of 30 minutes per patient on intake and eligibility, that adds up to 250 staff hours over a five-day week. 

30 minutes × 100 patients × 5 days = 250 staff hours per week

Automating predictable steps can give staff back some of that time while directing their attention to cases that need it.

Where to Start with Workflow Automation

To help decide what to automate, run a friction audit to find where manual work takes the most time. For one week, track tasks that get repeated or require staff attention. Note where a process stalls while someone waits for information to move on to the next step, such as:

• Front-desk backups: Review call volume and hold times to see when call volume exceeds staff availability.
• Incomplete intake forms: Note how often staff have to return to patients for missing information.
• Repeated interruptions: Ask your team which tasks pull them away from other responsibilities.
• Extra steps: Identify tasks that send staff back to something they thought they’d finished.

For each friction point, note how often it happens and who gets involved. Then use the four signals below to find the best opportunities for automation.

Use the Four Signals to Find an Automation Opportunity

As you and your team review each workflow, look at these four signs that a task, process, or workflow may be a good candidate for automation:

• Repetition: The same task happens dozens or hundreds of times, such as confirming appointments.
• Reentry: Someone copies information from one system or screen into another instead of having it transfer automatically.
• Waiting: A process stalls until someone checks a status or starts the next step.
• Recovery: Staff correct avoidable errors or track down information that could or should have been collected earlier.

Another way to uncover opportunities for automation is the “3D test” where your team gives each workflow or task one point for Dull, Draining, and/or Dollars. A score of three out of three puts it on your list.

Whichever method you use, after you identify the workflows you want to start with, calculate how much staff time they take each week. If it affects revenue directly, measure the cost if possible. That gives you a baseline for measuring what you achieve with automation.

How Workflow Automation Helps Protect Revenue

Automation helps your practice complete routine billing workflows faster, which can help reduce or prevent delays in claims and payments. In an MGMA poll on revenue cycle automation, 36% of medical group leaders said their organizations had automated less than 20% of revenue cycle operations.

Denied claims are one area where automation can support better efficiency. Instead of billers checking each claim to see if it was denied or not, automation flags denied claims. That lets billers only worry about claims that require follow-up so they can start resolving them sooner. 

Automation also takes manual work out of other workflows that impact billing. Eligibility checks confirm coverage before the visit, while automated payment reminders, as part of a collections or revenue cycle workflow, alert patients about outstanding balances.

How Automation Eases Staffing Constraints

Adding staff isn’t always possible. In an MGMA poll on medical practice staffing strategies, 53% of medical group leaders named finding candidates as their top staffing challenge.

Automation helps your current team use its limited capacity more effectively by handling specific recurring processes. For example, self-scheduling, as part of a patient engagement workflow, can ease that pressure by letting patients book appointments online and reducing the number of scheduling calls staff makes. Automated reminders further limit the need for manual outreach before each visit.

That support extends beyond scheduling. Automated intake forms collect patient information before the visit, while prescription refill workflows route requests to the appropriate provider for review.

For example, instead of a staff member manually reviewing every refill request, identifying the patient and medication, determining which provider handles it, and forwarding the request, an automated workflow routes the request to the appropriate provider with no manual work needed.

That saves staff time by removing several repetitive administrative steps from every refill request, while the provider still makes the clinical decision.

How Workflow Automation Reduces Administrative Burden

Not every claim or referral needs the same level of attention. Automation helps take repetitive tasks out of the equation, leaving your team more time for decisions that require judgment or expertise. In the end, you reduce administrative burden for your existing team without hiring more staff.

AI medical billing assistance puts that into practice. Billers often check claims individually to determine which need action. An AI billing assistant automatically identifies claims that require action, which helps eliminate time spent manually checking each claim.

Providers can save time on administrative tasks, too. An AI medical charting tool can capture the patient encounter in the background and turn the conversation into a structured note. Providers reduce medical charting time and can focus on the patient, then simply edit and approve the note instead of building it from scratch. 

And automated task routing sends referral requests directly to the appropriate staff member.

Why Put Workflow Automation into Practice

The value of automation comes down to its impact on your team and revenue. You don’t need to overhaul every process to see results. Start with one or two predictable, time-consuming workflows where fewer manual steps can free staff capacity or prevent payment delays.

Once you know what you want to automate, see whether your current technology can support it. Your EHR may already include automation for scheduling or billing. If it doesn’t, an add-on solution can fill the gap or provide more specialized capabilities. Make sure whichever option you choose connects with your existing system and fits the way your team works.

Then use reports in your EHR or a medical practice analytics solution to measure what changes. Compare the results with the baseline you established before automation. And use what you learn to guide refinements and what to automate next.