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| Bayada Technology Award Developed a decision-making algorithm Utilizing data derived from a patient monitoring system (Visensia), Marilyn Hravnak, PhD, RN, ACNP-BC, FAAN, FCCM, has developed a decision-making algorithm that guides nursing practice, permitting nurses to detect and respond more rapidly to changes in patient status. This has resulted in improved patient safety and outcomes in the step-down unit at University of Pittsburgh Medical Center, Pittsburgh, PA. This algorithm helps nurses identify acute and slowly progressive cardiorespiratory instability among patients allowing for more timely intervention to treat the patient’s instability, refer to a physician or nurse practitioner, or activate the early response system. Outcome data indicate that early intervention and treatment has resulted in fewer patients progressing from minimal to serious instability, the duration of this instability has decreased, patient transfers to the ICU or other higher levels of care were decreased and therefore costs associated with care were reduced.
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