eHealthAnalytics

MedDev PREDICT uses AI to predict medical device faults, avoid expensive recalls and mitigate risk for manufacturers, payers, and patients.

eHealthAnalytics leverages the synergies provided world-class specialists in the Information Technology, Healthcare, and Pharmaceutical arenas, combining innovative, forward thinkers and pioneers in their respective fields, with sound management and product development experience. Members of our team have spent many years working together building complex enterprise systems for large corporations and as entrepreneurs, building and ultimately selling start-ups, working with venture capitalists such as Kleiner-Perkins and VenRock. Gail Port, one of our co-founders, has held senior executive positions in software development for major global organizations, implementing pioneering technology solutions, and working with industry leaders and icons in the field of relational database technology and data warehousing. As an entrepreneur, she was a co-founder and the chief executive of both Context, Inc., the developer of an innovative ‘data warehouse in a box’ for risk management, and of P & L Partners. Jacqueline Laver, our other co-founder, is a world-class data architect, and has been mentored by and worked alongside tech industry giants and pioneers in the data design and modeling world, including Charlie Bachman, a Turing Award winner. She was co-founder of Context, Inc. and P & L Partners, both specializing in risk management solutions for financial services and healthcare. Dr. Lorien Pratt, our Chief Data Scientist, is a Machine Learning pioneer and inventor of the fields of Machine Learning Inductive Transfer and Decision Intelligence, providing solutions to her clients for over 30 years. A former college professor, she is the winner of numerous awards, authored dozens of academic papers, given multiple TEDX talks, and is the technology head of the Silicon Valley SimCenter. Ronald Adelman, M.D., our Chief Medical Officer, is the Emily Roy Corey Professor of Geriatrics and Gerontology and Co-Chief of the Division of Geriatrics and Palliative Medicine at Weill Cornell College in New York City. He is also the Co-Director of Cornell’s Center for Aging Research and Clinical Care and the Director of the Irving Sherwood Wright Center on Aging and directs palliative medicine for adults of all ages at New York Presbyterian Weill Cornell Medical Center. The recipient of numerous honors and awards, he is an acknowledged expert and leader in the treatment of older adults. Pythia PREDICT is eHealthAnalytics’ subscription-based Advanced Analytics platform created to address major challenges facing healthcare today. We combine massive amounts of data and machine learning to identify and locate the patterns and weak signals – seemingly insignificant factors – that would otherwise not be found to help improve outcomes, contain costs, maximize revenues, and minimize risk for medical device manufacturers, payers, pharmaceutical companies, providers, and patients. MedDev PREDICT, Pythia’s initial offering, uses Artificial Intelligence to address Post-Market Surveillance and Predictive Maintenance for Class III and other medical devices, potentially reducing both the chance of device defects and the number of recalls by identifying when, where, and what type of fault is likely to occur. Our Post-Market Surveillance components will enable a manufacturer to collect, review, and assess information about their device once it is on the market, using data from sources including a device manufacturer’s embedded sensors, social media and blogs, adverse event reports, device safety databases, and the FDA’s MAUDE, RES, AND MedSun databases. Our unique Prescriptive Analytics offer alternatives for possible fault mitigation, along with the rationale behind each alternative. This application of our advanced machine learning-based technology provides a significant and positive impact by limiting financial risk for manufacturers, payers, and patients, while minimizing health and safety concerns for patients. Subsequent releases of Pythia PREDICT will focus on the rapid growth of the older population with multiple chronic conditions (including diabetes, hypertension, heart disease, and COPD) and immediate needs for frequent care, costly diagnostic and health care procedures, and extensive prescription medication needs that is helping to drive the unaffordable and unsustainable rise in the cost of healthcare in America.