Open Order Outreach for Cardiology Practices

Open order outreach is the cheapest revenue in a cardiology practice and the work least likely to get done. A provider orders an echo, a stress test, or a monitor, the order lands in the queue, and the patient walks out of the building. Whether that study ever happens depends on someone calling them, and that someone has a full day already.

Cardiology generates more downstream orders per visit than most specialties, and each one is a separate appointment on a separate resource with its own preparation requirements. The orders accumulate. In practices that have never worked the queue systematically, the backlog is measured in months and nobody knows its size, because the queue is a work list rather than a report. Every one of those orders is a patient who was told they needed something and a study the practice has already earned the right to perform.

The order queue is a revenue backlog nobody has counted

The first useful exercise is not automation. It is counting.

Pull every open order older than two weeks, group by order type, and the shape of the problem usually surprises the practice. Echoes and monitors tend to dominate by volume, stress tests by value, and there is normally a long tail of orders from providers who have since left, which nobody has closed because closing them was not anyone’s job.

That list is also not uniformly actionable, which is why the count matters before the calling starts. Some of those patients have had the study elsewhere. Some have moved. Some were ordered as contingent on something that did not happen. Working the list in order of age produces a lot of wasted calls, so the sensible first pass is a data pass: drop orders where a matching result already exists in the chart, drop patients with no working contact information into a separate list, and call the remainder.

Once that is done, what remains is a queue of patients who need a phone call and a booking, which is straightforward work at a volume no practice has spare staff for.

Phone time is the constraint, and it is already spoken for

The reason the queue does not get worked is not that practices do not understand its value.

An MGMA poll asking practice leaders which phone tasks consume the most staff time put eligibility and prior authorization at 45%, scheduling at 31%, intake at 9%, and prescription refills at 6%. Those are inbound obligations with patients waiting on the line. Outbound order outreach has no one waiting, so it loses every time the two compete, which is daily.

Automated outbound is a good fit here specifically because the call is narrow. The patient has an open order, the automation states what was ordered and by whom, offers times on the correct resource calendar, books one, and delivers the preparation instructions. Patients who want to discuss the order rather than schedule it get handed to staff with the context already attached.

The practical gain is that outreach becomes continuous rather than a project. Most practices work their backlog once, in a push, and then rebuild it over the following year because nothing changed about the daily pressure that created it.

Booking the study is half the job; the preparation is the other half

A cardiology study that happens without the right preparation is a wasted slot and a repeat visit, and the preparation rules are specific enough that patients do not remember them from the exam room.

Stress tests commonly carry instructions about caffeine, about certain medications, and about what to wear and eat beforehand. Monitors need the patient to understand what they are taking home and when it comes back. Each of those is a set of instructions the practice defines per order type, and delivering them reliably is administrative work that has nothing to do with judgment.

The useful pattern is to attach the instruction set to the appointment type at booking, deliver it on the confirmation, and repeat it in the reminder closer to the date. When a patient asks a question the instruction set does not answer, that goes to clinical staff rather than being improvised.

There is a scheduling trap in the same workflow worth knowing about. Many cardiology orders resolve into two appointments, the study and the follow-up visit to go over it, booked as a pair with specific spacing. Native reminder systems fire on the chronologically first appointment only, so a patient with an echo at 9:30 and a provider visit at 10:15 gets reminded about one of them and misses the other. Reminders have to be built per appointment rather than per day.

Refill requests are routing, not decisions

The other queue that fills up in cardiology is refill requests, and it is the one where the boundary matters most.

Cardiology refills carry conditions attached to them. A practice may require a recent visit before renewing certain medications, or a lab result on file, or an upcoming appointment already booked. Those are the practice’s rules, written by its clinicians, and they determine where a request should go rather than whether it should be approved.

What automation does with a refill request is intake and routing. It captures the request from a phone call or a portal message, identifies the patient and the medication, checks the administrative conditions the practice defined, and puts the request in the correct clinical staff queue with the relevant facts attached. Where a rule says the patient needs a visit first, the automation books the visit and tells the patient that is what it is doing.

It does not approve anything, it does not deny anything, and it does not decide whether a medication is still appropriate. Every one of those stays with the clinical team, and the value of the automation is that the request arrives at that team complete rather than as a voicemail that has to be researched first.

The same principle covers results callbacks. The automation can book the call a clinician has decided to make and confirm the patient will be reachable. What is said on that call is the clinician’s.

Prior authorization decides when the study can be booked

Cardiology studies frequently need authorization, and the sequence matters more than most schedulers realize.

A visit that needs no authorization can be booked same day or next. One that does should have its earliest offered date set far enough out that the authorization team can actually submit and hear back. In practice this generalizes to plan type as much as to order type, with some plan structures needing the delay and others not, and the rule is the combination rather than either alone.

Getting this wrong is expensive in a specific way. Procedures scheduled outside the authorization window by human schedulers are not a scheduling inconvenience, they are a claim that dies at checkout. The same failure mode applies to cardiology imaging and to any study with an authorization requirement.

Rescheduling carries its own trap. Moving an appointment silently breaks the link to the existing authorization, and an appointment whose authorization has not returned can only be pushed later, never pulled earlier. Both of those are rules the automation can hold and a person under time pressure cannot.

Key Takeaways

Count the backlog before calling anyone. Group open orders by type and age, drop the ones with results already in the chart, and separate patients with no working contact information.
Make outreach continuous rather than a one-time push. Practices that clear the queue in a project rebuild it within a year, because the daily pressure that created it did not change.
Attach the preparation instructions to the appointment type at booking and repeat them in the reminder. A stress test done without the prep is a wasted slot and a second visit.
Build reminders per appointment, not per day. Native reminders fire on the chronologically first one, so a patient with a paired study and follow-up hears about only one of them.
Treat refill requests as intake and routing. Check the administrative conditions your clinicians defined, book the visit when a rule requires one, and hand the request to clinical staff complete.
Set the earliest bookable date from order type and plan type together. Booking inside the authorization window is how the claim survives checkout, and a later reschedule will not carry the approval forward.

An open order is a patient who has already been told they need something and a study the practice has already justified. Nothing about converting it into a booked appointment requires clinical input, and almost none of it gets done, because the phone is busy with people who are calling in. Handing the counting, the calling, the preparation instructions, and the authorization sequencing to an AI team working inside athenaOne turns a queue that quietly grows into one that quietly clears.

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