Frequently Asked Question
Do you have any questions regarding our App & Technology? We’ve got it covered all in one place.
How much does Reteta’s [Enter solution name here] Cost?
Pricing is dependent on multiple variables, such as practice size, medical specialty, and EHR integration. To receive an accurate quote based on the unique needs of your organization, please schedule a consultation with a member of our team
Where can I learn about Reteta privacy and security practices?
Our security standards guarantee that regardless of your organization's size, you can have confidence in Reteta to handle sensitive information securely. Explore further details about our privacy and security practices here
Does Reteta’s [Enter solution name here] work with languages other than English?
Currently, our AI & ML Models are only trained on English.
Does Reteta have speech recognition technology?
Yes, Reteta utilizes speech recognition technology to extract information from doctor-patient conversations to generate SOAP Notes.
How long does it take to receive my SOAP notes after submitting a recording?
While our turnaround time is very quick, the exact time depends on factors such as the length of recordings. You can contact our team
How does the Reteta’s Solution handle updates to code sets?
Reteta’s Solution regularly updates code sets, including the International Classification of Diseases. Updates are crucial to reflect changes in medical procedures, diagnoses, and industry standards. Our software typically integrates automatic updates to ensure that users have access to the latest code sets, helping healthcare organizations stay compliant with regulations and providing accurate information for billing and reimbursement processes.
Is there an option of custom templates?
Yes, Reteta provides a mechanism for creating custom templates based on varying note-taking styles of physicians. Our AI model
What is AI, ML and NLP, and how does Reteta use them?
Artificial Intelligence (AI) is a field in Computer Science that refers to systems designed to perform tasks that require human intelligence. These systems can analyze data, learn from it, and make decisions, contributing to advancements in automation. Reteta uses AI to process conversations between clinicians and patients and convert them into SOAP notes.
Machine Learning (ML) is a subset of AI. It enhances task performance by enabling systems to learn and improve from data. Reteta utilizes vast clinical data points to refine accuracy, making our solution more predictive over time. The more data that flows through our Machine Learning system, the more proficient and predictive our AI becomes.
Natural Language Processing (NLP) is also a subset of AI. It is used to analyze and understand real-time human conversations. NLP translates natural language into computer-readable data. Examples of applications that employ NLP are ChatGPT, Siri and Alexa. Reteta employs its own proprietary NLP to interpret clinician-patient conversations, transforming them into structured data for standardized medical notes.
