AI-powered, automated, and super-accurate speech recognition infrastructure tool for all of your audio and video data.
Made with ❤️ and ☕ in Bucharest
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Connect Voice Data Source
Securely upload audio recordings or stream live speech. Integrate with EHR systems, voice recording apps, and dictation tools.
Transcribe and Review
Let our AI accurately transcribe your voice data in real-time or batch mode. Refine transcripts within our editing interface before sending to the EHR.
Integrate & Share:
Export to your EHR or share directly within your preferred platforms.
Save Hours on Documentation: Automating transcription of patient notes, diagnoses, and treatment plans saves doctors and nurses countless hours. This precious time can be redirected towards patient care.
Precise Transcripts for Better Care: Speech-to-text ensures accurate records of everything from complex medical histories to detailed treatment plans. This minimizes errors and supports informed decisions for the best patient outcomes.
Focus on the Patient: When clinicians aren't weighed down by typing, they can engage more fully with patients. This leads to a better experience and can improve patient satisfaction.
Accurate Coding, Fewer Denials: Consistent, detailed transcripts ensure accurate coding, minimizing rejected claims and streamlining revenue processes.
Protect Sensitive Information: Advanced encryption and strict data privacy protocols safeguard patient data. This builds trust and ensures compliance with global data protection standards.
Vatis Tech's speech-to-text engine is expertly designed for the medical sector, achieving over 90% accuracy in transcribing complex medical terminology, procedures, names of prescribed drugs, and medical acronyms.
This precision-focused technology ensures reliable and accurate transcription tailored to the unique demands of healthcare professionals.
Speaker 1
This is a 64-year-old right-hand dominant Caucasian female who presents with a complaint of left shoulder pain and loss of motion. The patient states that she was involved in motor vehicle accident on August 13, 2013. She was a seat belt shoulder harness restrained driver. The patient had significant bruising and swelling on her back and about her waist pain about her shoulder. The patient was treated with chiropractic intervention. The patient's bruising is abated. However, she is still having pain on the left shoulder, predominantly about the side near her shoulder blade. She also has increased pain which she tends to lift the arm. The patient states she has been having sleep in a recliner. She describes it as an aching sensation and she stated that she did have swelling which appears to be going down. She denies any parasthesis.
Speaker 1
Here we have a patient with a right upper quadrant pain and leukocytosis. Gallbladder and appendix were normal. In the right upper pole of the kidney you can see this heterogeneous cystic mass. It measured close to 5 centimeters and contains internal debris, no vascular flow. Here's the CT sweep through in coronal. Right there you can see the lesion again. It has a hypodese rim. It doesn't uptake contrast either. You can see there are two ureters. There's one ureter there and the other one's right there. Here's an axial view sweeping from superior to inferior. You can see the cystic lesion there again. Very clear. And exiting the renal pelvis you can see there are two ureters. This is a duplex right kidney. This is an abscess of the upper pole of the right kidney. Differential could be infected. Calyceal is diverticulum. Here's the two ureters again. Or infected renal cyst.
Our speech-to-text solution not only enhances existing tasks but also opens up new possibilities in healthcare
Can’t find the answer you're looking for? Reach out to our Support team.
Our speech-to-text solution integrates with major EHR and EMR systems.
We continuously expand our compatibility to meet diverse healthcare needs. For specific system inquiries, please contact us for detailed integration information.
Yes, clinicians can review and refine transcripts within our web-based editor before signing off and sending documentation to the EHR system.
Our speech recognition models are trained on millions of medical samples to accurately transcribe clinical terminology, drug names, abbreviations, and more.
For live conversations, you'll see the text populate in real-time.
For recorded audio, average turnaround is just minutes depending on length.
We employ robust security compliant with HIPAA regulations, including end-to-end encryption, auditing, access controls, SOC 2 certification, and more.
Yes, we support cloud-based or on-premise deployment models based on your infrastructure requirements and data residency needs.
AI-powered, automated, and super-accurate speech recognition infrastructure tool for all of your audio and video data.
Made with ❤️ and ☕ in Bucharest
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