Maksim Tsvetovat

Cognitive-behavioral therapy (CBT) and motivational interviewing are powerful techniques for addressing mental and physical health challenges such as smoking cessation, obesity, and eating disorders. However, in-person CBT is expensive and not accessible to many patients.

OHN has created a first-in-its class conversational interface (chatbot) that administers a 12-session motivational interviewing and CBT program to assist patients in a smoking cessation program. TAMI is undergoing a randomized clinical trial in 2021.

I worked with a major research hospital to design a set of tools to approximate the level of cardiovascular health (VO2Max) remotely, utilizing commodity exercise bikes, sensors, and mobile phones.

The process uses a sequence of specific exercise actions (pedal speed, gear, etc.) and heart rate and takes approx. 10 minutes to complete. The results are processed with a custom-trained machine learning model to approximate VO2Max without the use of site visits or expensive gas exchange sensors.

The process is currently in clinical testing, estimating at 90% accurate compared to gas exchange tests.

A pediatrics department major academic medical center manually analyzes more than 5,000 hours of video recorded psychotherapy sessions. With a growing workload, the emergence of telehealth, and the need to support remote interventions during COVID-19, an streamlined solution was required
OHN has created and deployed a system that allows practitioners to upload videos to a secure server. Videos are tagged and transcribed automatically utilizing neural networks. A licensed practitioner reviews and approves the results; time to analyze a session and prepare a report has been reduced from 24 minutes to six minutes. OHN will be maintaining and expanding the system to a larger number of practitioners.

We have created a chatbot that uses a set of open-ended questions presented to 1,800 US government employees across 60 field offices in four US regions. The responses were mined using neural network topic modeling. They were collated into 11 major topic areas regarding adopting electronic medical records and digital health technologies, resulting in strong policy recommendations made to senior leadership.

We created the chatbot and created the neural network topic modeling engine utilized in this project. We are maintaining the system and supervising its deployment to additional U.S. Navy and Air Force customers.