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Software automates patient records abstraction process.


March 3, 2008 - Powered by REMIND(TM) platform, SoarianĀ® Quality Measures is healthcare data-mining tool that replaces time-consuming manual chart reviews with accurate and automated chart abstraction of quality measures. Solution analyzes and draws conclusions from all available electronic patient data from both Siemens and non-Siemens information technology systems. Results of analysis are presented in intuitive interface, allowing abstractor to quickly review and validate results.


Related categories:   Software

Press Release
Release date: February 26, 2008


Siemens Announces General Availability of Soarian Quality Measures


Reading Hospital Experiences 300+ Percent Efficiency Improvement Through Adoption of New Healthcare Data-Mining Technology

ORLANDO, Fla., Feb. 26-- Siemens (www.siemens.com/healthcare) today announced the general availability of its healthcare data-mining tool, SoarianĀ® Quality Measures powered by the patented, award-winning REMIND(TM) (Reliable Extraction and Meaningful Inference from Non-structured Data) Platform, at the Healthcare Information and Management Systems Society (HIMSS) 2008 Annual Conference and Exhibition in Orlando. Soarian Quality Measures replaces time-consuming manual chart reviews with highly accurate and automated chart abstraction of quality measures, as defined by the Centers for Medicare and Medicaid Services (CMS) and The Joint Commission.

Soarian Quality Measures helps healthcare providers with performance improvement and meet their quality reporting obligations by automating the abstraction process, reducing abstraction times and delivering consistent results. The solution analyzes and draws conclusions from all available electronic patient data from both Siemens and non-Siemens information technology (IT) systems, including structured data, such as demographics and financial information, and unstructured free text found in clinical notes and transcribed reports. The results of the analysis are presented in a simple, intuitive interface allowing the abstractor to quickly review and validate the results.

"This innovative solution serves as a key product in our growing portfolio of knowledge-driven technologies to help improve the quality and efficiency of healthcare delivery," stated Ajit Singh, Ph.D., CEO, Image and Knowledge Management business unit, Siemens Healthcare. "Soarian Quality Measures provides unprecedented intelligence to healthcare providers, allowing them to focus more on helping their patients rather than collecting data."

The Reading Hospital and Medical Center, an 800-bed not-for-profit healthcare center located in West Reading, Pa., joined the growing list of medical facilities using advanced decision support technology to create efficiencies and orchestrate clinical best practices when it signed up to serve as one of Siemens customer beta sites for Soarian Quality Measures in 2007. Prior to implementing the solution, Reading Hospital manually abstracted patient records to extract core measure information. After implementation of Soarian Quality Measures, the time required to review and extract core measures was reduced dramatically. After just one month of use, the average time required to review heart failure patients went from over 22 minutes per chart to just under 7 minutes (332 percent improvement), and acute myocardial infarction record reviews went from over 33 minutes per chart to just over 10 minutes a chart (331 percent improvement)*.

"Soarian Quality Measures further reduces the dependency on manual chart abstraction, while improving the accuracy and speed of abstraction," said Jay Raman, chief information officer, Reading Hospital. "The automated solution is extremely beneficial in accurately capturing the acuity of care."

Reading Hospital initially volunteered to participate in the Soarian Quality Measures customer beta program due to its own organizational quality measures improvement goals, and its successful, long-standing relationship with Siemens. A customer of Siemens for more than two decades, Reading Hospital sets patient safety and quality of care as its top priorities and leverages technologies from Siemens, such as revenue cycle management, computerized physician order entry, medication administration, and pharmacy solutions, to help meet its goals.

* Results at other organizations may vary. Siemens has data supporting
these outcomes on file.

About Siemens Healthcare
Siemens Healthcare is one of the world's largest suppliers to the healthcare industry. The company is a renowned medical solutions provider with core competence and innovative strength in diagnostic and therapeutic technologies as well as in knowledge engineering, including information technology and system integration. With its laboratory diagnostics acquisitions, Siemens Healthcare will be the first fully integrated diagnostics company, bringing together imaging and lab diagnostics, therapy, and healthcare information technology solutions, supplemented by consulting and support services. Siemens Healthcare delivers solutions across the entire continuum of care -- from prevention and early detection, to diagnosis, therapy and care. The company employs more than 49,000 people worldwide and operates in 130 countries. In the fiscal year 2007 (Sept. 30), Siemens Healthcare reported sales of euro 9.85 billion (on a pro forma basis including Dade Behring roughly euro 11 billion), orders of euro 10.27 billion, and group profit of euro 1.32 billion. Further information can be found by visiting http://www.siemens.com/healthcare.

Source: Siemens Healthcare

CONTACT: Michele Bowman of Siemens Healthcare,
+1-610-448-3236
michele.bowman@siemens.com

Web site: http://www.siemens.com/healthcare


Contacts:

General Information:
Michele Bowman
USA
Phone: 610-448-3236
Send email  E-mail this person

Company Information:
Name: Siemens AG
Address: Wittelsbacherplatz 2
City: Munich
ZIP: D-80333
Country: Germany
Phone: +49 89 696-00
FAX: +49 89 636-52 000
http://siemens.com



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