The vision for AOS is to advance medicine by creating a smarter workflow — a workflow that allows for an enterprise-wide deployable solution. That solution would provide meaningful data, surgical risk assessment tools and protocols to standardize care and would lead to improved quality of care and improved outcomes. Our vision is to advance the cause of personalizing medicine through data.
The future state of an anesthesia information management system (AIMS) will require innovative solutions that move far beyond the ordinary. MIR understands that simply transitioning from a paper to an electronic process is not enough; healthcare providers and industry professionals must improve the patient care experience and reduce costs while improving outcomes. The innovation required to achieve those goals is embodied in AOS.
With more than 12 years of clinical anesthesia experience, Dr. Christopher Ray developed AnesthesiaOS with the goal to enhance the point of care, not control it. AOS’ unique design improves the quality and accuracy of anesthesia records while allowing providers to focus more on patient care and safety, quality assurance, compliance, risk management, and business intelligence.
MIR has partnered with Dell and Microsoft to bring predictive analytics and machine learning to the operating room. The relationship enables clients to use Dell’s Statistica advanced analytics platform and Microsoft’s Azure Machine Learning in tandem with AOS to empower anesthesia providers to better record, track and analyze patient care and enable them to make real-time predictions about patient risk factors and take preventative steps in a proactive manner.
One of MIR’s goals is for AOS to be regarded as the “best-in-breed” within the anesthesia market. As a result, MIR made the strategic decision to focus on its core business by “going deep and not wide.” Therefore, to scale service and support for its clients, adapt to regulatory changes, and make continuous technology improvements, MIR has developed partnerships with world-class companies with superior subject matter expertise.
Those partnerships are categorized as follows: