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Lorraine Quintana
Fact checked by Shine Colcol
Voice dictation is a speech recognition technology that converts spoken language into written text as you speak. Within the context of clinical practice, it allows a clinician to speak a note, letter, or instructions directly into a document instead of typing.
The underlying technology makes the software listen to the audio, then it matches speech against language models trained on patterns to produce text that clinicians can review and edit.
In this article, we look at why more clinicians are switching to medical-grade voice dictation for documentation and how the technology works across different devices.
Clinical documentation takes up most of the clinical day. One study of more than 66,000 clinicians looked at burnout and EHR. Clinicians who spent more time in the EHR after hours had close to two and a half times the odds of experiencing physician burnout compared to those who didn’t.
Voice dictation lets clinicians get words onto the page without touching a keyboard so the visit goes on uninterrupted. Its benefits also only pay off if it holds up across a full day of back-to-back patient interactions, not just in a demo.
Transcription puts the same ambient voice technology to work on documentation to turn a visit into a note. Justin Aniello, an Accredited Practicing Dietitian working in metabolic and aged care, put it to the test across a caseload of clients and reaped the benefits of AI in healthcare.
After using Heidi, he trimmed his daily admin from up to two hours to just 15 minutes, even with a full client list. He also cut the time spent on clinical notes, GP letters and patient summaries. He could recall diet histories, protocols and counselling conversations accurately without relying on memory alone.
“The 10 hours I’m saving a week has enabled me to do the things I love. It literally pays off what Heidi’s done.”
Voice dictation to text works slightly differently across devices. The way it activates on desktop may differ from how it does on mobile.
Below is a quick breakdown of how each device and type works with voice dictation:
Using voice dictation on a Mac is arguably the easiest way to perform documentation hands-free. While you speak with your patient, it types what’s been said word for word. Where you want the text to go, you place your cursor and start speaking naturally.
On a Mac, you can even check and edit your notes and use smart dictation to fill out missed details. For a busy clinician like you, that means speaking words that turn into clinical notes, EHR entries, referral letters or summaries.
Instead of manually writing it all out by hand, or noting through repetitive keyboard work, you get to have the software take over your admin during or immediately after a patient visit.
On Windows, voice dictation works almost the same way: by simply pressing the key + H function. This will open voice typing in any field, from a browser search bar to your EHR’s note box. Voice typing uses an internet connection and adds punctuation automatically as you talk.
To reduce keystrokes when you’re seeing a patient or writing a note, use Windows 11 22H2 or its later versions. It supports voice access and this way, you can use on-device dictation without an internet connection.
It's a useful baseline before adding a clinical dictation tool built for medical vocabulary and EHR workflows.
Voice dictation on iOS can be accessed by turning on dictation in Settings, under General, then Keyboard, by switching on Enable Dictation. Once on, a microphone icon appears on the keyboard in any app that accepts text. Tap it, speak, and tap again once done.
Dictation runs on the device or sends audio to Apple’s servers for conversion, depending on the iPhone model and language you’re using.
Downloaded dictation tools work differently since set up and processing vary from app to app. Clinicians typically install the app, sign in, then grant microphone access. Some tools require enabling keyboard access or granting "full access," before dictation works properly.
For clinicians in need of a tool specifically made for medical vocabulary, Heidi Dictate does just that and is quick to install. Using it on mobile takes a few different steps, but the trade-off is worth it for the hands-free workflow and clinical accuracy.
Accessing voice dictation on Android goes through the Gboard. Tap the mic icon on the keyboard in any text field, then speak once when you hear " Speak Now. Punctuation is automatically added in supported languages. Misheard words can be fixed by tapping them and saying the corrected version.
Voice dictation shows up differently depending on the setting and the available tools of the clinician. Various clinical scenarios below show where this fits into everyday work:
A patient interaction requires a lot to be written down, such as history, exam findings, assessment and care plans. Voice dictation is a modern solution that allows a clinician to speak that narrative straight into a SOAP note instead of typing it after patients leave the room.
For example, a GP finishes a review for a chest infection, dictates the history, findings, and antibiotic plan into the SOAP note, then calls in the next patient with nothing left to type up.
Keyboard procedure in operating rooms or any sterile field simply isn’t an option. Voice dictation, paired with voice navigation tools, lets clinicians capture findings without stepping away from the table.
Using voice dictation during an operation, a surgeon can dictate the operative note straight after closing without relying on memory, once they’re out of the room.
Discharge summaries and referral letters follow a predictable structure, making them ideal for dictation. Verbalizing the details is faster than typing, which helps you complete documentation even during the visit. Why focus on the screen when you can save time in handover and support continuity of care for your patients?
A doctor in a hospital, for instance, dictates the discharge summary, reason for admission, hospital course and follow-up plan straight after the ward round. Before the patient gets home, the GP receives the complete medical information.
Not every clinician can rely on a keyboard day-to-day. An injury, hands already full with equipment, or simply moving between tasks can make typing impractical. Having a digital voice dictation tool in the workflow gives these clinicians another route to complete full documentation, already built into the devices they’re using.
Plenty of EHR fields sit outside free text entirely. Problem lists, medication orders, and coded diagnoses usually live behind dropdowns, checkboxes, or structured templates that dictation alone doesn’t fill in.
Dictation with voice control allows clinicians to reference what’s on the screen and move between fields, making selections and entering structured data without touching the keyboard.
For many clinicians, dictation remains the most natural way to document care. Modern AI has simply made it faster, more flexible, and easier to fit into the flow of a busy clinic.
Keep the visit moving without breaking eye contact, losing context, or switching between tools. Heidi Dictate tracks your words and converts them into text right away. Your notes take shape in the background while your conversation goes on.
One key. Any app. Anywhere on your computer.
Heidi Dictate works across every clinical practice, saving 67.3 million hours since its launch. It meets global compliance standards to keep patient data secure.
For everyday language, yes, dictation is quite reliable. However, a general dictation tool may return incorrect words if not specialized with medical vocabulary. Drug names, dosages, anatomical terms and clinical abbreviations are not what these tools are trained on.
Built-in OS dictation is trained on everyday speech, not medical vocabulary. Drug names, dosages or clinical shorthand come out wrong more often than plain sentences do. Clinicians end up spelling words out or fixing them after. Tools designed specifically for clinical documentation recognize this vocabulary far more consistently and lessen the spelling clean up for clinicians.