AnesthesiaOS Uses Azure, Office Add-Ins to Assess Surgical Risks

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AnesthesiaOS, a Microsoft Azure cloud-based Anesthesia Information Management System (AIMS), announced it has utilized Microsoft Office Add-ins and Microsoft Azure Machine Learning to build on its smarter workflow by standardizing the preoperative screening process for postoperative nausea and vomiting (PONV). It accomplishes this by assessing the risk of PONV and subsequently placing notifications of high risk back into AnesthesiaOS, which was created by Medical Information Records, LLC, for decision support for providers.

Accessible in operating rooms and medical offices via a web portal, personal computer or tablet, AnesthesiaOS creates a smarter workflow by enabling improved patient care while still maintaining documentation and compliance requirements. AnesthesiaOS also utilizes Azure Machine Learning to analyze each patient care episode to gain additional insights to sharpen its predictive models to assess surgical risks.

"Improving the standardization of care is essential to improving clinical outcomes and the overall patient care experience. We're excited to be working together with the team at AnesthesiaOS to help doctors and hospitals utilize technology to improve the quality of care and deliver better outcomes for patients," said Laura Wallace, vice president of U.S. health and life sciences, Microsoft.

To learn more about how AnesthesiaOS has utilized Microsoft Office Add-ins and Microsoft  Azure Machine Learning, read the press release, mini-case study and datasheet.

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