Our mission is to make it easy for clinicians to deliver the best care to every patient every time.
Healthcare providers spend over half of their day typing, dictating, and searching through patient charts. Our approach uses AI to listen during the patient encounter to generate more comprehensive, structured, quality documentation that's also HIPAA compliant and secure. The result is a system that takes the documentation burden off of clinicians and enables them to get back to doing what they love – focusing on their patients.
Meet the Team
Misty Ahmad, MBA
Human Resources Manager
Ravi Atreya, MD, PhD
Co-founder and CMO
Sales & Marketing Associate
Chief Operating Officer
Michael Poku, MD, MBA
VP Business Development
Pedro Teixeira, MD, PhD
Co-founder and CEO
We started this journey to build the tools we wish we had to take better care of patients
When we entered the MD, PhD program at Vanderbilt University in 2009, we had no idea our lives would take a dramatic turn, but here we are, running an AI company to improve patient care.
So how did we go from wanting to practice medicine to building machine learning models? It all started in our medical rotations where it very quickly became clear to us that there was a huge gap in the way technology was being utilized to streamline the clinician workflow and integrate patient data. EHRs were clunky and required clinicians to spend hours per day on their computer charting instead of focusing on patients. This was also creating major provider burnout and time constraints on an already overly taxed healthcare system. Not to mention, medicine is dense with information. The future of medicine needs the mountain of information to be processed and presented to the clinician's of tomorrow in a way that's timely and thoughtful.
We knew there had to be a better way, so we started PredictionHealth. Our AI-assisted documentation services solve the burden of clinical documentation while also capturing data to help us build models that can make predictions by collecting and organizing medical information. We envision a smarter healthcare system that creates outstanding, efficient patient care and we believe the best way to create this vision is to seamlessly integrate AI into routine clinical care.