With the current solutions, the main obstacle to implementing AI Scribing solutions in the Healthcare industry is that Physicians must change "the naturalness of consultations" and follow strict rules during consultations.
We have invented a unique "Natural Language Generation technology" that employs a human approach to analyze the Physician-Patient Dialogues and scribe "Consultation Narrative Notes" without Human-In-The-Loop in an understandable form for Physicians & Patients.
⦿ Physicians should not change the naturalness of consultation.
⦿ Physicians can conduct Non-linear & Fragmented Conversations.
⦿ Physicians - get the scribe information immediately afterward, which is super important as providers see many patients, and by the end of the day, it would be easy to forget/miss things.
To fulfill and accomplish our mission and vision, we deeply believe that we have to provide high-quality service and must maintain & protect the security & privacy of the healthcare providers and their patients.
The NLG is the best solution to ease this problem, increase physicians' willingness to utilize AI, and leverage modern technologies that lead to quick and smooth integration in clinical practices.
We are young entrepreneurs with a small team, but we have an Enterprise-Grade Security in place and constantly work on enhancing security measures.
We decided to concentrate our research on the NLG technologies employing the Abstractive MDS technology. We focus on this technology because it is a core element to improve the following applications significantly: Meeting/Dialogue summarization, Speech summarization, EHR data summarization, etc.
We came across the term called "Clinical Dialogue Summarization." We became interested and decided to do further research on this topic. After deep analysis, we found out that many major players in the healthcare and tech industries are working to solve this problem, but they still don't have a solid solution.
We conducted lots of R&D, created several working real-world applications and prototypes, and made massive progress in this technology.
We launched Brevi Assistant to the public in the Beta version https://brevi.app and integrated 50 plus open-source research papers database APIs to summarize research papers abstracts to keep up-to-date researchers/students in the Healthcare industry.
We launched the Alpha version of the "Clinical Dialogue Scribe" application to prove the concept & technology.
We launched the Beta version of the "Clinical Dialogue Scribe" with a much higher accuracy rate for scribing "Consultation Narrative Notes."
⦿ Get a SOC2 type-2 certificate (Brevi is under the monitoring of Prescient Assurance);
⦿ Implement reinforcement learning into our NLG Model to advance the quality of Clinical Scribes and make the Brevi machine more intellectual.
⦿ Introduce a personalization technique as each doctor has their preferences and writing styles.
⦿ Automatically scribing "Referral Notes."
⦿ The automation of the "Clinical Discharge Summaries."
⦿ EHR records summarization.
We are young brothers, immigrants, founders, and inventors of Brevi's unique technologies, with solid knowledge in the fields of NLP/NLU/NLG and Cybersecurity. All our core technologies have been built in-house by our founders. Osman won several international Math and Physics Olympiads. At the age of 15, he was invited to Japan to meet Nobel Prize winners and became a "Sakura Science Club member."