The worklist is the job. AI decides what you see first.
4 AI translations · Healthcare / Health Plans
Radiologists interpret imaging studies (X-ray, CT, MRI, ultrasound, mammography, PET) and generate reports for ordering clinicians. You evaluate studies for pathology, compare to priors, correlate with clinical history, and render impressions with differential diagnoses. Workloads are significant. Subspecialty interpretation (neuroradiology, MSK, cardiac, breast imaging) requires fellowship-level expertise. Turnaround time is a key metric, especially for emergency and inpatient studies.
Studies land on the worklist roughly in the order they were acquired, and you work down it — ED and inpatient ahead of outpatient, with STAT flags and phone calls from clinicians rearranging things all day. When you find something time-critical — an intracranial hemorrhage, a pneumothorax, a large vessel occlusion, an aortic dissection — the read is the easy part. Then you have to reach a person: work out who is actually covering, page or call, confirm they heard you, and document who you told and when. Your department has a written policy defining what counts as a critical result, who reports it to whom, and how long you have, and the timeliness of that reporting gets evaluated. The failures are rarely diagnostic. They are the urgent study that sat behind a queue of routine outpatient exams, and the call that went to a clinician who had already gone off shift.
You dictate the finding you were asked about, and then you dictate the one nobody asked about — a pulmonary nodule on a CT ordered for chest pain, an adrenal lesion on a scan for kidney stones, a thyroid nodule caught at the edge of a cervical spine study. You put the recommendation in the report: repeat imaging at the interval the guidance supports, sometimes with a qualifier about the patient's risk. Then you sign, and the study leaves your hands. Whether that scan ever happens depends on whether the ordering clinician read past the impression, whether the patient came back, and whether anyone owned it after the ED visit that generated the study ended. Nothing on your worklist tells you it didn't happen. The next time anyone hears about it may be years later, when the nodule is no longer incidental.
You run a room against a template. The template says an exam takes a certain number of minutes and the whole day is built on that number, so every minute over is a minute the next patient waits and the last case pushes into overtime. On MRI the acquisition itself is the constraint — a long protocol is a long protocol, and much of your shift is sequences running while you watch for motion. Around it sits work nobody schedules: screening the patient for implants and devices, positioning and coiling, explaining the noise, coaching someone through holding still, and re-running the sequence that came back degraded because they couldn't. On CT the acquisition is quick and the time goes into the room instead — transport, positioning, contrast, turnover. Add-ons from the ED land on top of a full template either way, and the patient who is claustrophobic or in pain is the one who costs you most.