Every day, imaging orders are placed that never turn into appointments.

The patient needs the exam and the referring physician expects it to happen. But somewhere between the order being written and the appointment being booked, the process breaks down.

Usually, all it takes is one phone call that never happens.

The order exists. The demand is there. So why isn’t the appointment on the schedule?

In outpatient imaging, what happens after the order is placed can make all the difference. And if you are not capturing that next step do you really know how many patients or appointments are slipping through the cracks?

The order that never becomes an appointment

In a study published in the Journal of the American College of Radiology, researchers reviewed 494,503 radiology orders at a large academic health system. They found that 33,546 of them, or about 7%, were never scheduled. In nearly every modality, the majority of those unscheduled orders were clinically necessary. The authors called them “potential delays in executing documented provider care plans.”

A follow-up study by the same research group found 8.6% of orders unscheduled before intervention. When the team looked at how those orders were eventually resolved, roughly 32% of cancellations and 27.7% of expired orders were still clinically necessary. The exam was needed. It just never happened.

For a radiology group, each of those orders represents a patient who needed care, a referring physician whose plan stalled, and revenue that went somewhere else or nowhere at all. Your RIS schedules what walks in the door. The harder problem is recovering what never calls.

Patients will schedule themselves, if you let them

The research on patient-driven scheduling in imaging is consistent.

At Penn Medicine, adding self-scheduling to the patient portal was associated with a 13 percentage point increase in screening mammogram completion, translating to roughly 4,500 additional patients screened, according to research in the American Journal of Preventive Medicine.

At Johns Hopkins, an eight-year review of more than 250,000 screening mammograms found online self-scheduling grew from 3.7% of exams in 2015 to 36.9% in 2022. Patients who scheduled by phone were more likely to cancel or not show up.

A separate Hopkins study of diagnostic mammography found that 35% of self-scheduled appointments were booked for evening or weekend slots, times available only online.

This rise shows patients want to book on their own time, and when they can, more exams get completed.

Why generic self-scheduling stalls in imaging

Notice something about that evidence: almost all of it comes from mammography. Screening mammography is the simplest case in radiology. It has a predictable duration, minimal prep, and a single modality. And even there, the diagnostic mammography study found that 83% of exams were still booked by staff.

Step outside of screening mammography and the complexity multiplies.

A primary care visit is a time slot. An imaging exam is a set of dependencies. It has to land on the right resource: the right magnet strength, the right coil, the right room with contrast capability, and more. It carries prep requirements: fasting, contrast screening, labs, implant and device questions. Many visits involve more than one exam that must be sequenced correctly. And every booking has to sync back to the RIS cleanly, or the front desk inherits the cleanup.

A scoping review of automated patient self-scheduling published in JMIR found the same barriers across healthcare: concerns about scheduling complexity, slot unavailability, and difficulty integrating with the medical record. One informaticist put the challenge of replacing an experienced scheduler plainly: “it’s extremely difficult to find out what Mabel really knows.”

That is the heart of the problem. In radiology, scheduling knowledge is clinical workflow knowledge, and it usually lives in the heads of your most experienced staff. A general-purpose booking tool does not have it.

When generic tools meet that complexity, they fail in one of two ways:

1. They hide complex exams. Only the simple exams are offered online, and everything else gets pushed back to the phone queue. The order sits unscheduled again.
2. They book them wrong. The exam lands on the wrong resource, prep never reaches the patient, and the appointment is canceled, rescheduled, or turned away at check-in.

Either way, patients learn not to trust the system. And trust is exactly what made self-scheduling work in the first place: the same JMIR review found that demonstrated trust in the system increased patient use.

What “built for radiology” actually requires

Self-scheduling that works across your entire imaging operation has to start from how radiology actually runs.

• It starts from the order. The referral is the source of truth. Patients should be booking the exam their physician ordered, not guessing from a calendar.
• It matches every exam three ways before it is booked. The right resource, the right clinical prep, and a clean sync to the RIS. Miss any one, and the booking is not done.
• It covers every modality. MRI, CT, ultrasound, nuclear medicine, and multi-exam visits, not just mammography. If it only handles the easy exams, the complex ones keep leaking.
• It works inside the systems you already run. It integrates with your RIS and EHR environment instead of asking you to replace it.
• It uses one scheduling logic across every channel. Online, by text, by phone, or with a staff member, the patient gets the same correct answer.

Where AI fits

AI can make radiology self-scheduling simpler. It cannot make up for scheduling logic that is not there.

When AI works from the same rules as the patient portal, it extends self-scheduling to more moments: answering patients after hours, guiding them through prep questions, and turning an unscheduled order into a booked appointment without a hold queue. The AI lives inside the workflow, never on top of it.

That matters because imaging teams are stretched. The ASRT’s 2025 staffing survey reported technologist vacancy rates of 19.4% in CT, an all-time high, and 17.4% in MRI. When routine bookings handle themselves, your team’s time goes to the patients.

Built for everyone the order touches

Radiology-specific self-scheduling serves three groups at once:

• Patients book the exam their physician ordered, on their schedule, with confidence it is right.
• Referring physicians place the order and know it gets booked.
• Radiology groups and health systems convert more orders into completed exams, without replacing a single system.

Everyone says they can do radiology scheduling. Until the demo. Bring your most complex exam, and we will show you how openDoctor turns every order into a self-scheduled appointment.

Sources

1. Lacson R, et al. Unscheduled Radiologic Examination Orders in the Electronic Health Record. JACR, 2020. https://pubmed.ncbi.nlm.nih.gov/31954707/
2. Lacson R, Khorasani R, et al. Closing the Loop on Unscheduled Diagnostic Imaging Orders: A Systems-Based Approach. JACR, 2021. https://www.sciencedirect.com/science/article/abs/pii/S1546144020309789
3. Penn Medicine. Mammogram rates increase if patients can schedule themselves (Am J Prev Med, 2023). https://www.pennmedicine.org/news/mammograms-increase-when-patients-self-schedule
4. Radiology Business. Self-scheduled mammograms gaining popularity with younger patients (Johns Hopkins, JACR, 2023). https://radiologybusiness.com/topics/health-it/enterprise-imaging/mammograms-study-young-online-portals-scheduling
5. Radiology Business. Only 17% of patients self-schedule mammograms, with preference for nights and weekends (Johns Hopkins, JACR, 2024). https://radiologybusiness.com/topics/medical-imaging/womens-imaging/only-17-patients-self-schedule-mammograms-preference-nights-and-weekends
6. Woodcock E, et al. Barriers to and Facilitators of Automated Patient Self-scheduling for Health Care Organizations: Scoping Review. JMIR, 2022. https://www.sciencedirect.com/org/science/article/pii/S1438887122000929
7. ASRT. 2025 Radiologic Sciences Staffing and Workplace Survey. https://www.asrt.org/main/news-publications/news/article/2025/07/24/asrt-staffing-and-workplace-survey-shows-vacancy-rate-increases-near-record-highs-aligning-with-overall-health-care-profession-trends