Docus

Amazon Comprehend Medical is a HIPAA-eligible natural language processing (NLP) service that uses machine learning to extract health data from medical text–no machine learning experience is required. Much of health data today is in free-form medical text like doctors’ notes, clinical trial reports, and patient health records. Manually extracting the data is a time consuming process, while automated rule-based attempts to extract the data don’t capture the full story as they fail to take context into account. As a result, the data remains unusable in large-scale analytics needed to advance the healthcare and life sciences industry and improve patient outcomes and create efficiencies.

At Modernizing Medicine® we empower our customers with an integrated suite of software and services that enable physicians and staff to do their best work while we support the clinical, operational, and financial aspects of their practice. Our flagship product EMA®, a cloud-based electronic health records system, adapts to each doctor’s style of practice, remembering preferences and automatically suggesting exam notes and suggested billing codes. When used on a tablet, EMA offers special touch and swipe gestures to rapidly build patient profiles, diagnoses, treatment programs and billing. EMA works seamlessly with our other products and services including Practice Management, Revenue Cycle Management, Telehealth, Inventory Management, patient engagement tools including payments and more. When combined, this all-in-one solution breaks down departmental silos and enables the team to work side-by-side, enhancing visibility and collaboration. By Doctors for Doctors