One Mnet Health, an industry leader in innovative clinical software and financial services for ambulatory surgery centers (ASCs), hospitals and other healthcare providers, announced the release of a market-leading, AI-powered solution that helps healthcare providers predict and prevent surgery cancellations.
One Mnet Health, an industry leader in innovative clinical software and financial services for ambulatory surgery centers (ASCs), hospitals and other healthcare providers, is pleased to announce the release of a market-leading solution that helps healthcare providers predict and prevent surgery cancellations.
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Patient cancellations are a major challenge for healthcare providers across the nation, leading to disrupted schedules, lost productivity, poor patient care, and ultimately lost revenue. On average, more than 20% of scheduled cases in an ASC end up being canceled. Many facilities only evaluate and manage same-day cancellation volume, but when cancellations occur and backfills are not implemented, the cost of care can be huge. $3,000 Or 100% or more in lost revenue per case. Even a small reduction in cancellation rates or improvement in backfill success rates can translate into six-figure savings for most ASCs.
One Mnet Health is leading the way in helping surgeons improve OR productivity, building a unique capability that allows OR leaders to approach patient cancellations differently. One Mnet Health's innovative new product, Cancellation Prediction, Leverage AI It combines proprietary algorithms and machine learning technology to proactively identify cases at high risk of cancellation, and organize cases by schedule, risk level and surgeon for nursing teams to track and manage.
One Mnet Health is uniquely positioned to tackle this problem due to its rich data assets – millions of records transformed into powerful normalized datasets that power predictive capabilities. By integrating clinical, financial and operational datasets, One Mnet Health's machine learning algorithms not only predict cancellations with over 85% accuracy, but also provide personalized insights into how facilities can personally support patients to prevent cancellations in the first place.
With access to this vast source of data, One Mnet Health's new proprietary algorithm analyzes over 40 unique patient attributes, enabling care teams to quickly understand and visualize risk factors specific to each case. Now, rather than assessing cancellation risk on the basis of procedures alone, care teams can easily analyze correlations between everything from access barriers to financial concerns to social determinants of health.
This new product illuminates the key cancellation drivers at a patient level, creating a personalized intervention path for each potential cancellation, allowing providers to intelligently intervene and engage with patients through personalized messages and recommended topics that should be addressed when calling the patient. This level of detail empowers providers to either prevent a case from being canceled or identify if a backfill is required.
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While facilities typically implement standard preoperative processes to review all cases, these processes treat each patient and case in the same way and fail to focus on specific patient needs and potential risks. This causes staff to spend more time than necessary on cases that are highly unlikely to be canceled.
Cancellation prediction allows care teams to see cases categorized into three risk levels – high, medium, and low – allowing them to focus on the highest risk and most demanding schedule cases. This allows for better utilization of operating room block time, improves efficiency in staff working together to address risk, reduces cancelled cases, and allows case volumes to be handled more efficiently, significantly reducing lost revenue.
“We are pleased to announce this groundbreaking solution that addresses one of the most pressing challenges facing healthcare workers today,” said Derek SmithCEO of OneMnet Health. “Using the power of AI Machine Learning “Cancellation prediction technology is setting a new standard for how providers address case cancellations.”
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