MENLO PARK, Calif., Feb. 2, 2017 /PRNewswire/ -- Ayasdi, the machine intelligence company, today congratulated Mercy on being named one of the nation's most innovative healthcare organizations by Healthcare Informatics magazine.
St. Louis-based Mercy, one of the largest Catholic health systems in the country, earned second place in the annual Healthcare Informatics Innovator Awards. The Innovator Awards recognize leadership teams from hospitals, medical groups, integrated health systems, and other healthcare organizations that have effectively deployed information technology to improve clinical, administrative, financial, or organizational performance.
In recognizing Mercy, the magazine's judges cited its Clinical Pathways program's big-data breakthrough facilitated by an artificial intelligence-based application that identifies hidden patterns of care variation in high-cost procedures. Results from the initiative include:
- A significantly faster process to develop 30 best practice clinical pathways
- A $14.7 million in savings in fiscal 2016 and $9.4 million in savings to date in fiscal 2017
- A reduction in average length of stay for knee replacements from 3.3 to 2.4 days
- A data-backed process that drove clinician adoption and freed up time to focus on patient care
"At a time when providers are under increasing pressure in transition to value-based payment models, we are gratified for our role in helping prestigious organizations like Mercy to achieve such meaningful outcomes," said Dr. Gurjeet Singh, chief executive officer, Ayasdi. "This award underscores the unique capabilities that artificial intelligence and big data offer to healthcare organizations in their pursuit of delivering the highest-quality and most cost-efficient care for their patients."
Mercy's Clinical Pathways program began more than five years ago, as part of an effort to identify best practices for a variety of procedures and care episodes. The original program approach involved a core group of providers, however that proved inefficient and vulnerable to bias and lack of buy-in. Mercy decided it needed a new process that was efficient, objective and backed by their own patient data. The decision was made to adopt the Ayasdi Care platform, which correlated and analyzed Mercy's electronic medical record and financial documentation, including information related to treatments prescribed, procedures performed, drugs administered, length of stay, and costs per patient.
Specifically, the program incorporated the following elements:
- Artificial intelligence and big-data based methodology that enabled Mercy to leverage machine learning, statistics, and geometric algorithms to discover statistically significant internal relationships and refine their clinical pathways. These clinical pathways leveraged Ayasdi to aggregate all the varying procedures each patient received during a specific treatment.
- An application unique is its ability to accelerate the development of care models by drawing patient and clinical data directly from the health networks' integrated systems of record – not just benchmark data.
- A deep dive on cost and quality and care variations in knee replacements. The new data insights-driven process trimmed 5 percent off the cost of knee replacement, while improving or maintaining low rates of mortality and morbidity across all cases.
Mercy expects to develop and deploy more than 50 clinical pathways over the next three years.
About Ayasdi
Ayasdi is on a mission to transform healthcare by developing machine intelligent applications for the largest, most sophisticated health systems and payer organizations. Ayasdi's suite of healthcare applications examine billions of data elements from organizations' own systems of record to uncover pathways of the highest quality, source evidence-based patient care; reduce claims denials; define insurance members' interests, loyalty, and health; and discover genetic relationships to develop more efficacious and targeted drug therapies. Developed by Stanford computational mathematicians, Ayasdi amplifies machine-learning techniques with topological data analysis - automating and accelerating the extraction of knowledge from even the most complex healthcare data.
Ayasdi is funded by leading venture capitalists including Kleiner, Perkins, Caufield & Byers, Khosla Ventures, Institutional Venture Partners, FLOODGATE, GE Ventures, Citi Ventures, Centerview Capital and DraperNexus. Within healthcare, the company has partnered with Intermountain Health, Mercy, Mt. Sinai, UCSF, UBIOPRED and two of the four largest payers on their most difficult and value-laden challenges. To learn more, visit www.ayasdi.com/healthcare.
About Mercy
Mercy,named one of the top five large U.S. health systems in 2016 by Truven, an IBM company, serves millions annually. Mercy includes 43 acute care and specialty (heart, children's, orthopedic and rehab) hospitals, more than 700 physician practices and outpatient facilities, 40,000 co-workers and more than 2,000 Mercy Clinic physicians in Arkansas, Kansas, Missouri and Oklahoma. Mercy also has outreach ministries in Louisiana, Mississippi and Texas.
About Healthcare Informatics
Healthcare Informatics serves as the leading source of information for forward-thinking professionals involved in the planning, development, and implementation of important technological trends that define tomorrow's healthcare. Pioneering concepts are presented and exchanged as important strategic and information technology issues facing organizations such as hospitals, medical groups, and integrated health systems are addressed. Members of the Healthcare Informatics community share a focus on healthcare IT leadership, vision, and strategy—driving change forward by shaping innovations that point the way to the future of healthcare. To learn more, visit www.healthcare-informatics.com.
SOURCE Ayasdi
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