[April 08, 2015]

Ayasdi Enables Better Patient Outcomes, Lower Costs Using Machine Intelligence

Ayasdi, the leader in Machine Intelligence software, will showcase its portfolio of healthcare solutions at the 2015 HIMSS Annual Conference and Expo at two different sessions during the event. The company, whose innovative clients include Mercy, Mount Sinai School of Medicine and UCSF Medical Center, will demonstrate how providers and payers are using advanced analytics to deliver a higher quality of care with less cost variation.

On Monday, April 13 at 1:45 p.m. CT, CEO Gurjeet Singh will discuss ways that Machine Intelligence enables hospitals and researchers to leverage complex data. He will discuss how healthcare systems can derive insights to better manage clinical outcomes during the HX360 Amazing Analytics Panel in room E353C, McCormick Place Convention Center.

Johan Grahnen, Lead Data Scientist Healthcare, will present, "Manage Clinical Variations using Data-driven Best Practices." He will discuss how Machine Intelligence uncovers care variations within a hospital and quickly surfaces optimal clinical practices to enhance patient outcomes. His session will take place at 5:30 p.m. CT on Monday, April 13 in booth 5484, McCormick Place Convention Center.

Ayasdi's Machine Intelligence software solves the most complex and impactful analytical challenges for healthcare organizations in both the provider and payer space. Ayasdi has revealed genetic traits of cancer survivors with the Netherlands Cancer Institute; discovered six distinct subtypes of Type II Diabetes patients with Mount Sinai School of Medicine; and made significant advancements in improving patient outcomes with Mercy - resulting in an anticipated savings of more than $100M for the hospital by changing the way it develops and deploys clinical pathways.

"Mercy, the fifth largest Catholic health care system in the U.S., and a 'Most Wired' health care organization, is a recognized leader in applying innovative technologies to produce breakthrough patient outcomes and superior ROI," said Vance Moore, Senior Vice President Operations at Mercy. "Using our vast repositories of clinical and patient data, we see Ayasdi's capabilities as a critical element to reduce costly clinical variations and improve our operational best practices, leading us to harvest millions of dollars in unnecessary expenses, all while improving the lives and welfare of our patients."

"Ayasdi aims to make complex data useful for healthcare providers and payers through Machine Intelligence, which represents the next generation of healthcare data analytics," said Gurjeet Singh, CEO of Ayasdi. "With Ayasdi, healthcare providers can examine millions of patient cases and rapidly ascertain pathways that deliver the highest quality of care, in the most cost-effective manner."

"Rapidly defining and refining optimal clinical pathways is just one example of what healthcare providers can accomplish with Ayasdi," said Johan Grahnen, Lead Data Scientist Healthcare of Ayasdi. "Our platform also helps clinicians and operations teams accurately assess readmission risk, evaluate the comparative effectiveness of drugs and devices, and implement population management."

Today's time-consuming, iterative approach to data analysis relies upon specialized experts to ask the right questions and oftentimes write code. By contrast, Ayasdi's Machine Intelligence software employs a data-driven approach that thoroughly inspects the entire dataset to find the most important patterns, values and anomalies. It accelerates the discovery process, and improves the quality of the analysis, empowering domain experts and data scientists to apply these insights more efficiently and effectively.

For more information, visit Ayasdi in booth 5484 in the Clinical & Business Knowledge Center, the Marketplace Kiosk at the HX360 pavilion or in Intel's (News - Alert) booth (number 2525) during the HIMSS Annual Conference and Expo, April 12 - 16, McCormick Place Convention Center, Chicago.

About Ayasdi

Ayasdi is on a mission to make the world's complex data useful by automating and accelerating insight discovery. The company's Machine Intelligence software leverages Topological Data Analysis (TDA), to simplify the extraction of knowledge from even the most complex data sets confronting organizations today. Developed by Stanford computational mathematicians, Ayasdi's approach combines machine learning algorithms, abundant compute power and topological summaries to revolutionize the process for converting data into business impact.

Ayasdi is funded by leading venture capitalists including Kleiner Perkins, Caufield & Byers, Khosla Ventures, IVP, GE Ventures, Citi Ventures, and FLOODGATE.

The company's clients include Siemens (News - Alert), Lockheed Martin, Jannsen Pharmaceuticals, Mt. Sinai, Citigroup, Anadarko, Credit Suisse, JP Morgan Chase, Mercy, UCSF, Boehringer Ingelheim, Visa and other Fortune 500 enterprises.

Ayasdi has been named as one of the most innovative companies in big data by Fast Company, Forbes, Fortune, Gigaom, Inc., Wired and others. For more information, visit http://www.ayasdi.com or follow us on Twitter (News - Alert) @Ayasdi.

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