MENLO PARK, CA--(Marketwired - Aug 27, 2014) - Ayasdi (www.ayasdi.com) today launched Ayasdi Care, a new advanced analytics application designed for healthcare providers to quickly develop and optimize clinical pathways using their own electronic health records (EHRs), financial data and physician best practices. Using Ayasdi's patented topological learning technology, Ayasdi Care can examine millions of patient cases across a provider's own facilities to rapidly ascertain pathways that deliver the highest quality of care in the most cost-effective manner and lower readmission rates.
Transforming Clinical Pathway Development and Optimization with a Data-Driven Approach
Typically, healthcare providers leverage peer-reviewed studies and expert physician knowledge to glean and tailor clinical pathways to best meet their quality of care requirements. However, this approach relies on consensus, across a limited number of physicians, resulting in greater than desired variation in treatments, which lowers physician acceptance.
Ayasdi Care represents a new data-driven approach to helping providers develop, maintain and optimize clinical pathways. Ayasdi Care uses advanced analytics to automatically discover optimal patient protocols -- from a provider's own data. This approach significantly improves physician adoption, and helps a provider's physicians and nurses easily model the impact of pathway changes on the quality of care that they deliver. And Ayasdi Care enables providers to continually adjust these pathways as new data arrives.
"Healthcare has a bold future doing retrospective research by using the clinical data stored in the Electronic Medical Records (EMRs) of hospitals and ambulatory practices," said Skip Snow, Senior Healthcare Analyst, Forrester Research. "The ability to combine the complexity of medical data with recent innovations in machine learning will quicken and deepen the pace of medical innovation. New standards of care will be discovered. Software assisted diagnosis will become commonplace. Discovering new uses for medicines will regularly occur."
Mercy Optimizing Pathways with Ayasdi Care
Mercy, one of the nation's largest healthcare systems, is currently using Ayasdi Care to rapidly identify optimal care pathways that will help its physicians and nurses deliver the highest quality of personalized care to its millions of patients. Ayasdi Care analyzes the hospital's own clinical and financial data to derive optimal clinical pathways and identify components or activities that may positively or negatively affect a patient's outcome.
"Ayasdi Care provides an intuitive interface that allows our physicians and staff to understand the 'why' behind specific care pathways which makes it easier for them to adopt and adhere to our own best practices," said Seth Barbanell, MD, Vice President of Mercy's Clinical Performance Acceleration. "We see Ayasdi Care as a strategic application in helping Mercy maintain and optimize care pathways to continually improve clinical outcomes in the most effective way possible."
Tapping Providers' Own Data to Make Medicine More Precise
In addition to helping providers develop and optimize clinical pathways, Ayasdi Care's advanced analytics can also provide them with critical intelligence to lower readmission rates, manage population health, reduce revenue leakage, and evaluate the comparative effectiveness of drugs and devices.
"Ayasdi Care enables providers to deliver patient care that is ultimately more precise and more personal," said Gurjeet Singh, Co-Founder and CEO of Ayasdi. "And by leveraging their own data, Ayasdi Care helps providers ensure that they create best practices that deliver that highest quality of care in the most cost-effective manner."
For more information on Ayasdi Care, visit http://www.ayasdi.com/product/care/demo.html
Ayasdi is transforming how the world uses data to solve complex problems by automatically discovering and operationalizing insights from complex datasets. Founded in 2008 after a decade of DARPA and NSF funded research at Stanford, the Ayasdi Platform executes and merges the results of hundreds of machine learning algorithms using Topological Data Analysis (TDA), enabling users to explore their data within interactive and intuitive applications. Funded by Khosla Ventures, Institutional Venture Partners, GE Ventures, Citi Ventures, and FLOODGATE, Ayasdi's customers include General Electric, Citigroup, Anadarko, Boehringer Ingelheim, the University of California San Francisco (UCSF), and Mount Sinai Hospital. To learn more, visit www.ayasdi.com or follow us @ayasdi.
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