Walk into most audiology clinics today and you'll find some version of the same routine: a test is completed, results are printed, and someone handles the paperwork. In some clinics that means a literal printout, scanned and filed into the patient's chart. In others, it's a print-to-PDF that gets manually uploaded into the EHR. Some clinics still rely on handwritten audiograms that are scanned in after the fact. And in more cases than you'd expect, someone opens the medical record and types threshold values in by hand, one frequency at a time.
Each of these approaches gets audiometric information into the chart, and for many clinics, that alone feels like a meaningful win. But there's an important difference between getting results into a record and capturing usable data, and that gap is where the hidden costs live.
The paper and handwritten routes are the ones everyone recognizes. They're slow, they're error-prone, and results can get misfiled, buried in a scanning backlog, or separated from the right patient. Handwritten audiograms add another layer of risk: legibility varies, symbols can be ambiguous, and there's no standard ensuring that what ends up in the chart faithfully represents what happened in the booth.
Print-to-PDF feels like a step forward, and in a few narrow ways it is. There's no paper to misplace and no scanner in the loop. But the clinician is still performing manual steps after every encounter: generating the file, navigating to the correct patient in the EHR, uploading, and confirming it attached properly. Multiply that across a full day of patients and you're looking at a real chunk of clinical time spent on filing rather than patient care. The process also tends to vary from clinician to clinician, which makes consistency harder to maintain and makes it easier for things to slip through the cracks. And depending on the system configuration, those PDFs may be saved to local or shared directories before upload, leaving protected health information in unsecured locations until someone thinks to clean them up.
Manual transcription might seem like the most "integrated" option, but it may be the riskiest. Transposing a threshold at the wrong frequency, entering a value for the wrong ear, or making a simple typo can alter a clinical picture entirely. There's no validation linking the entered data back to the original test, and every keystroke is a chance for the record to diverge from what actually happened.
Whether the audiogram is scanned, uploaded as a PDF, handwritten then digitized, or retyped into a form, the result is fundamentally similar: the data is either locked inside a static image or manually re-entered in a way that's disconnected from the source. Some EHR systems may offer limited querying or reporting on manually entered audiometric fields, but even in those cases, the data is only as reliable as the transcription process that put it there, and it still lacks a verified link back to the instrument.
That means trending a patient's results over time often requires opening each record individually. Population-level reporting depends on data that may or may not have been entered consistently. And the ability for downstream systems to read, act on, or exchange what was captured in the booth is limited at best.
The audiometric information is technically in the system. But it isn't doing much once it gets there.
The alternative isn't a faster version of the same workflow. It's a fundamentally different approach. AudBase connects directly to compatible audiometric instruments and captures results at the source. No printing, no scanning, no uploading, no retyping -- and all the clinical time those steps were consuming goes back to patient care. From there, custom-designed report forms and HL7 interface connections deliver discrete, coded data elements to the EHR or other clinical database. Not a flat image, not a retyped value, but structured data that the receiving system can store, query, trend, and report on with confidence in its accuracy.
It's the difference between an audiogram that sits in a chart and audiometric data that's available to the entire clinical enterprise.
If your clinic considers its current workflow "good enough," it might be worth asking what that process is still costing you in time, consistency, and data you can't access. Getting results into the chart was always the first step. Making that data work for you is the next one.
To learn more about how AudBase connects your instruments and EHR, visit audbase.com or explore the AudBase Knowledge Base.