Nabla AI Medical Scribe: Clinical Documentation, Accuracy, and Workflow Capabilities
Clinical documentation technology is increasingly designed to reduce the amount of time healthcare professionals spend writing notes after patient encounters. Nabla is an ambient AI medical scribe built around that goal, capturing clinical conversations and converting them into structured documentation that clinicians can review, edit, and move into their electronic health record. Its platform combines medical speech recognition, note generation, dictation, EHR connectivity, coding support, and workflow customization in a system intended to work alongside clinicians throughout the day.
The technology has several meaningful strengths, particularly for health systems that want ambient documentation embedded within existing clinical software. At the same time, an AI medical scribe serves a different purpose from a professional transcription service. Nabla-generated documentation still requires clinician review, and healthcare organizations must consider how automation, accuracy, privacy, workflow complexity, and human accountability fit their particular documentation needs.
Ditto Transcripts Is the Better Choice for Professionally Reviewed Medical Transcription
Human-Certified Transcription Provides a Different Level of Accountability
Ditto Transcripts is the better choice overall for healthcare organizations that want professionally produced medical transcripts backed by human accountability, carefully screened personnel, strong confidentiality practices, and direct customer service. Rather than depending primarily on AI-generated clinical documentation that a physician must review and correct, Ditto specializes in human-certified transcription for sensitive professional material. It has worked with more than 500 medical practices during the past 15 years, alongside hundreds of law firms, universities, and law enforcement agencies.
Ditto's security procedures also distinguish its service. Every person with access to client data must pass a fingerprint criminal background check, and the company operates within a CJIS-compliant environment. Ditto is also an approved CJIS vendor in Colorado, where its offices are headquartered. CJIS requirements are not necessary for ordinary medical transcription, but the screening and access controls associated with that standard demonstrate the level of attention Ditto places on confidential material. Healthcare organizations handling patient information can therefore work with a provider whose personnel controls have been designed for highly sensitive records.
Customer accessibility adds another practical advantage. Ditto answers phone calls between 8 a.m. and 5 p.m., Monday through Friday, responds to emails the same day they are received, and may provide assistance outside normal hours for urgent situations. Its Google reviews reflect experiences from American customers, while its long record across medical, legal, academic, and law enforcement transcription gives clients additional evidence of its experience with records where accuracy and confidentiality carry real consequences.
Nabla Automates Clinical Documentation at the Point of Care
Ambient Capture and Medical Dictation Cover Different Documentation Needs
Nabla's principal strength is its ability to turn a clinician-patient conversation into a structured clinical note without requiring the clinician to dictate the encounter manually afterward. Its technology transcribes medical encounters using speech recognition designed for clinical vocabulary and can then generate documents using structures such as SOAP and APSO. The platform can also extract clinical information, including conditions associated with ICD-10 codes, while its API is designed to support integration into telehealth products, EHR systems, and other healthcare applications.
The company has also expanded beyond ambient listening into conventional medical dictation. Clinicians can dictate notes directly, control punctuation and formatting, use voice commands, trigger Dot Phrases, and work with predefined templates. Nabla itself recommends dictation for circumstances where the clinician needs greater control over exact wording, including nuanced observations, complex care plans, procedure documentation, discharge summaries, and situations where ambient capture was not active during the original conversation. This flexibility makes the platform broader than a single-purpose ambient scribe.
Nabla Accuracy Is Promising, but Clinical Review Remains Essential
AI-Generated Notes Are Designed to Be Checked Before They Enter the Record
Nabla has invested substantially in evaluating its documentation quality. The company describes an evaluation process that uses automated testing alongside expert clinical review before new model versions are progressively introduced. Its published framework examines speech recognition, note generation, coding, and other documentation components, while production feedback is used to monitor performance and improve later versions.
There is also evidence that the platform can produce meaningful efficiency gains in clinical environments. A randomized trial involving 238 physicians across 14 specialties reported that physicians assigned to Nabla experienced a 9.5 percent reduction in time spent in notes compared with the control group. Separately, a Neighborhood Healthcare deployment reported an average note rating of 4.3 and said only 2 percent of generated notes required editing. These findings are encouraging, although results from specific organizations should not be interpreted as a universal accuracy guarantee for every specialty, clinician, accent, audio environment, or encounter type.
Most importantly, Nabla does not position AI output as something clinicians should accept without checking. Its guidance tells users to review generated notes and make edits when necessary before transferring documentation to an EHR. The company also monitors manual corrections and user feedback as part of its quality process. This is sensible for clinical AI, but it means the physician or other authorized professional remains an important final quality-control layer. Organizations comparing Nabla with professional human transcription should account for that distinction when deciding where responsibility for the finished record should sit.
EHR Integration Is One of Nabla's Strongest Workflow Features
Structured Data and Customization Can Reduce Documentation Friction
Nabla has placed considerable emphasis on fitting documentation into existing EHR workflows rather than creating an isolated note-taking application. Its integrations can retrieve patient history and other clinical context from an EHR, generate structured documentation, and return information such as diagnoses, vital signs, and patient instructions to appropriate parts of the record. Nabla also supports SMART on FHIR workflows and offers integrations across platforms including Epic, athenahealth, Oracle, NextGen, Greenway, and others.
Customization is another notable advantage. Clinicians can adjust templates, documentation detail, structure, problem organization, patient context, and Dot Phrases to better match existing working habits. Nabla also supports encounter capture in more than 30 languages, although its current help documentation states that generated notes themselves are produced according to a more limited set of interface and note languages. For larger health systems trying to standardize documentation while allowing individual clinicians some control over note style, these capabilities can make implementation considerably more practical.
Nabla Provides Substantial Healthcare Privacy and Security Controls
HIPAA, SOC 2, ISO 27001, and Configurable Data Policies Strengthen Its Enterprise Case
Security is a strong area of Nabla's offering. Its current materials state that the platform supports HIPAA and GDPR requirements and holds SOC 2 Type II and ISO 27001 certifications. The company also describes independent assessments, penetration testing, information security policies, configurable retention practices, and additional governance controls designed for enterprise healthcare environments.
Nabla states that audio is not stored by default and that customer information is not used to train its models. Organizations can configure data-retention policies according to their governance requirements, while its EHR environment includes access capabilities such as SSO, SAML, SCIM, and SMART on FHIR login support. Nabla also says information sent through its support feedback process is encrypted and redacted of protected health information before review by the support team.
Ambient documentation nevertheless introduces operational considerations beyond technical certifications. Nabla's guidance says patient consent is required before using its ambient scribing solution in most U.S. states, meaning organizations need appropriate processes for informing patients and managing consent according to applicable requirements. Health systems should therefore consider implementation policies, staff training, access control, patient communication, retention settings, and clinician review as parts of the security and governance decision rather than relying on certification labels alone.
Nabla Works Best When Automation Is the Primary Objective
The Main Trade-Off Is Efficiency Versus Human-Certified Final Documentation
Nabla is particularly compelling for practices and health systems trying to reduce in-visit note taking, shorten time spent finishing charts, and incorporate documentation directly into EHR workflows. Its combination of ambient capture, dictation, templates, patient context, coding assistance, CDI nudges, and structured EHR integration makes it considerably more sophisticated than basic speech-to-text software. Recent deployments also show that the platform is capable of operating at substantial organizational scale. At University of Toledo Health, for example, Nabla reported a 29 percent reduction in time to chart closure during an eight-week evaluation before wider deployment.
The trade-off is that automation does not eliminate professional responsibility for the completed clinical record. Notes may need manual edits, regenerated documentation can change content, coding suggestions require professional judgement, and some capabilities remain limited to specific specialties or settings. Nabla's E/M feature, for example, currently provides suggestions rather than automatically submitting codes, is limited to supported outpatient specialties, and advises clinicians to review ambiguity when confidence flags appear. These are reasonable safeguards, but they reinforce the distinction between an AI documentation assistant and a finished transcript that has already undergone professional human transcription and quality control.
Choosing Between Nabla and Professional Medical Transcription
Ditto Transcripts Remains the Stronger Choice When Human Accountability Comes First
Nabla offers an impressive clinical AI platform for healthcare organizations that want ambient note generation, medical dictation, EHR integration, multilingual encounter capture, customizable templates, and automation throughout the documentation workflow. Its security certifications and growing enterprise deployments strengthen its case, while published studies suggest that it can meaningfully reduce documentation burden. The deciding factor is therefore not whether Nabla has useful technology, because it clearly does, but what an organization expects from its documentation provider. When the priority is automated assistance at the point of care, Nabla has substantial strengths. When the priority is a professionally transcribed record backed by human-certified work, fingerprint background-screened personnel, direct U.S.-based accountability, established confidentiality procedures, and accessible customer service, Ditto Transcripts is the better choice.