Every clinical appointment generates documentation. Whether it’s an in-person visit, a telehealth call, a consult, a follow-up, a clinician creates a record. Because of the increasing workload and administrative demands the average clinician faces, AI-powered medical transcription software is increasingly sought out.
Great AI medical transcription software plays a part in streamlining administrative to-dos in clinical workflows. Understanding how the technology works, what differentiates a strong product from an insufficient one, and the advantages of a clinical AI suite is key when evaluating solutions. Here is a breakdown of everything a clinician needs to know before implementing AI medical transcription tools.
AI Medical Transcription Software: What it is and What it Does
AI medical transcription software, also referred to by numerous names including AI scribes and clinical scribes, converts spoken language into written content. The category spans a range of capabilities, depending on how the conversation happens and how the clinician would like to structure the output.
On the simple end, these tools produce a literal written record of what was spoken during an appointment. The physician makes an effort during the appointment to live narrate, the software listens, and words appear on the screen. The accuracy of these tools varies, and they often still require the physician to focus on enunciation and narration to generate the most accurate note possible.
More advanced tools apply AI and natural language processing to the audio, producing an output organized around clinical concepts and templates rather than simple dictation. These tools can distinguish between when the physician and the patient are speaking, can filter out casual conversational content, and arrange the end result into a clinical note. Some even use ambient AI transcription, where the software listens to the full encounter without requiring deliberate narration from the clinician.
In either context, the clinician is required to review and edit the end result. Even the most advanced AI models can make mistakes, and no capability can replace clinical judgment and training.
What Separates Good AI Transcription From Great AI Transcription
There are certain factors that separate strong transcription products from weaker ones. When evaluating solutions, clinicians should consider:
- Clinical accuracy: A tool that mishears a medication name or diagnosis, misattributes a symptom, or leaves out clinical context creates a note that requires more editing than one taken manually. Accuracy with medical terminology, in real clinical conditions, is one of the most important performance variables to consider.
- Custom template support: Clinicians operate in different contexts, have different specialties, and conduct different appointment types. Transcription software that supports custom output templates, or offers a meaningful range of specialty-appropriate formats, produces a more useful final document.
- Data handling and security: Any software application used by a clinician must meet basic HIPAA standards. This means understanding how documentation and recordings are stored, how long they're retained, who can access them, and in the case of artificial intelligence, whether they're used to train downstream models.
While many clinicians might opt for the “simpler is better” approach, it’s worth noting that baseline functionality often does little to streamline workflows or keep patient data secure. The reality is, a software tool’s full feature set should be evaluated to make the most informed decision.
Doximity Scribe: Full-Featured AI Transcription at No Cost
Doximity Scribe is a free, HIPAA-compliant ambient AI transcription and documentation tool. It’s available to verified U.S. physicians, residents, nurse practitioners, and PAs, and can be used on both mobile and desktop formats.
Scribe listens to the clinical encounter without the clinician having to actively narrate. It captures all relevant details of the physician-patient interaction, filters out the content that doesn’t belong to the clinical record, and securely discards the original recording once the end note is created.
Scribe offers a template library that enables clinicians to create SOAP notes, consult notes, progress notes, and more. The end template can also be customized to physician specialty or support another output format based on preference. Notes are generated in seconds and are ready to be reviewed, edited, and pasted directly into the EHR.
The Advantages of a Clinical AI Suite
Doximity Scribe separates itself clearly from standalone transcription products thanks to the comprehensive clinical AI suite it’s a part of.
Clinical decision management platform Doximity Ask functions like a public-facing GPT-type product, but it is HIPAA-compliant and made for clinical use. Clinicians can paste a Scribe note in and ask questions based on the document to better support clinical decision-making. Outputs are generated within seconds, are context-rich, and cite sources for easy clinician research and review.
Doximity Dialer, Doximity’s popular telehealth tool, works with Scribe capabilities embedded into the platform. Much like when a clinician uses Scribe in-person, they can use it for voice and video appointments with the same end result.
By using these free Doximity tools together, a clinician can streamline their workflows and reduce clinical burnout more than a standalone transcription tool could. That way, the focus can shift from the tooling and administrative tasks, and instead be put back on the patient.
Get Started With Doximity Scribe
Signing up for Doximity takes a few minutes and only requires your valid healthcare credentials. 85% of U.S. physicians are already verified members, and with Scribe, Ask, and Dialer readily available, any clinician can create a workflow that works for them.