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The Leapfrog Group recommends that hospitals provide around-the-clock intensivist coverage in their intensive care units for the greatest patient safety. Unfortunately, there are more ICU’s in the U.S. than intensivists. In fact, The Leapfrog Group estimates that 54,000 ICU deaths each year could be avoided by following this best practice. But with more than 7,000 ICUs in the U.S. and only 7,000 (approximately) practicing intensivists, the numbers simply don’t add up. Further, the American Medical Association projects that by the year 2020 the supply of intensivists will only meet 22% of the demand.
Similar problems exist in nursing. The U.S. is experiencing and will continue to feel for the foreseeable future, the pains of nursing shortages in part due to an aging and retiring nurse population. Added stress factors for nurses – greater demands for documentation and administrative requirements, long hours, and less time providing patient care to name a few – are causing nurses to leave their professions and students to make different career choices.
These are just a few reasons why hospitals are turning to Bernoulli for remote ICU surveillance. The Bernoulli One ICU surveillance solution combines real-time clinical surveillance with telemedicine. The system allows patients to have the best coverage possible and the hospital to maximize coverage using fewer resources. A win-win for all. The Bernoulli One system allows one intensivist to monitor patients across multiple, geographically dispersed ICUs using data collected from on-site medical devices and provides redundancy for nurses who are caring for multiple patients. One physician and Bernoulli user said their hospital’s providers have greater confidence knowing their patients are being watched more closely. He added that this level of redundancy should have existed in healthcare long before now – as is the case in aviation – for an extra layer of safety.
Bernoulli One utilizes extensive integration capabilities to further enhance remote clinical surveillance. The system processes multi-variate rules to correlate patient and device data, creating new early warning alarms to provide the ultimate patient protection. Proven time and time again, early detection of deteriorating patient conditions saves lives.
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