Medical Information Records, LLC to Bring Dell Predictive Analytics and Azure Machine Learning to the Operating Room
Combination of AnesthesiaOS™ and Dell Statistica helps anesthesiologists make real-time assessments of patient risk.
Medical Information Records (MIR), LLC, a leading provider of
medical software technology, today announced its collaboration with Dell Software and Microsoft
to deliver real-time predictive analytics capabilities and to learn from each and every point of
care experience. The relationship enables customers to use Dell’s Statistica advanced analytics
platform and Microsoft’s Azure Machine Learning in tandem with MIR’s AnesthesiaOS case
management technology, empowering anesthesiologists to better record, track and analyze
patient data to make real-time predictions about patient risk factors and take preventative steps
in a proactive manner.
“Our vision at Medical Information Records is to advance medicine by creating a smarter workflow
for providers,” said Terrence Ray, Chief Executive Officer at MIR. “Our AnesthesiaOSTM platform
was already making it easier for anesthesiologists to document procedures and access critical
patient information directly from the operating room. Now, using that technology in conjunction
with Dell Statistica and Azure Machine Learning, they can go a step further by analyzing that data
in real-time to gain insight into a patient’s risk factors and adjust the level of care they provide
MIR’s AnesthesiaOSTM platform is a cloud-based EHR running on Microsoft Azure that enables
providers to easily complete an anesthesia record, while Dell’s Statistica advanced analytics
software solution combined with Azure Machine Learning delivers a wide range of data mining,
predictive analytics and data visualization capabilities. The combined solution enables
anesthesiologists to complete an anesthesia record directly in the operating room with
AnesthesiaOS and Azure Machine Learning, and then access that information in real-time and run
predictive models to calculate patient risk scores and determine the appropriate treatment
procedures with Dell Statistica.
“The potential to reduce patient risk through the use of predictive analytics is well documented,
but remains largely untapped throughout the healthcare industry,” said John K. Thompson,
General Manager of Global Advanced Analytics at Dell Software. “We’re excited to be working
together with the team at MIR to help doctors and hospitals leverage technology to improve the
quality of care and deliver better outcomes for patients.”
“Even the best anesthesiologists can be better with enhanced access to data and insights, “said
Joseph Sirosh, Corporate Vice President of Machine Learning at Microsoft. “The ability to access
and analyze patient demographics, vital signs, past medical histories and other critical
information in real-time to determine the expected clinical impact is a potential game changer for
anesthesiologists, and we’re proud to be partnering with the MIR team to help make it possible.”
In 2014, Medical Information Records was selected as the overall winner of the Dell Healthcare
Pitch Days competition, which featured nearly 30 companies offering innovative solutions designed
to change the way healthcare is delivered.
AnesthesiaOSTM is truly the future of AIMS as it transcends how electronic health records (EHRs)
are viewed today. AnesthesiaOS is a cloud-based modular EHR that will allow any provider to
easily complete an anesthesia record while focusing on the quality of patient care and not merely
documentation. AnesthesiaOS is designed to enhance the point of care, not control it. Developed
by an anesthesiologist for use by hospitals, surgery centers, and individual providers, it can be
utilized to perform operating room cases via a web portal, personal computer or tablet device and
provides EHR enhancements that center around the patient care experience while maintaining
documentation and compliance requirements without additional or adverse changes to the
provider’s workflow. For more information about AnesthesiaOS, please visit us online, on Twitter,
YouTube, or at the AOS blog.
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