Feasibility of accelerated code team activation with code button triggered smartphone notification.

INTRODUCTION: Studies support rapid interventions to improve outcomes in patients with in-hospital cardiac arrest. We sought to decrease the time to code team activation and improve dissemination of patient-specific data to facilitate targeted treatments. METHODS: We mapped code blue buttons behind each bed to patients through the electronic medical record. Pushing the button sent patient-specific data (admitting diagnosis, presence of difficult airway, and recent laboratory values) through a secure messaging system to the responding teams' smartphones. The code button also activated a hospital-wide alert through the operator. We piloted the system on seven medicine inpatient units from November 2019 through May 2022. We compared the time from code blue button press to smartphone message receipt vs traditional operator-sent overhead page. RESULTS: The code button was the primary mode of code team activation for 12/35 (34.3%) cardiac arrest events. The code team received smartphone notifications a median of 78 s (IQR = 47-127 s) before overhead page. The median time to adrenaline administration for codes activated with the code button was not significantly different (240 s (IQR 142-300 s for code button) vs 148 s (IQR = 34-367 s) for overhead page, p = 0.89). Survival to discharge was 3/12 (25.0%) for codes activated with the code button vs 4/23 (17.4%) when activated by calling the operator (p = 0.67). CONCLUSION: Implementation of a smartphone-based code button notification system reduced time to code team activation by 78 s. Larger cohorts are necessary to assess effects on patient outcomes.

Research: Replacing Overhead Paging with Smartphones to Reduce Hospital Noise.

Hospital noise is associated with adverse effects on patients and staff. Communication through overhead paging is a major contributor to hospital noise. Replacing overhead paging with smartphones through a clinical mobility platform has the potential to reduce transitory noises in the hospital setting, though this result has not been described. The current study evaluated the impact of replacing overhead paging with a smartphone-based clinical mobility platform on transitory noise levels in a labor and delivery unit. Transitory noises were defined as sound levels greater than 10 dB above baseline, as recorded by a sound level meter. Prior to smartphone implementation, 77% of all sound levels at or above 60 dB were generated by overhead paging. Overhead pages occurred at an average rate of 3.17 per hour. Following smartphone implementation, overhead pages were eliminated and transitory noises decreased by two-thirds (P < 0.001). The highest recorded sound level decreased from 76.54 to 57.34 dB following implementation. The percent of sounds that exceeded the thresholds recommended by the Environmental Protection Agency and International Noise Council decreased from 31.2% to 0.2% following implementation (P < 0.001). Replacement of overhead paging with a clinical mobility platform that utilized smartphones was associated with a significant reduction in transitory noise. Clinical mobility implementation, as part of a noise reduction strategy, may be effective in other inpatient settings.

Implementation of smart phones to facilitate in-hospital telephone communication: Challenges, successes and lessons from a neonatal intensive care unit.

Implementation Lessons 1. Mobile telephony use in the hospital setting is complex and sub-optimal implementation of mobile communication technology can create inefficiencies in clinical workflow 2. Objective measurement of mobile technology's impact on clinical communication workflow is necessary to identify and remediate associated inefficiencies in real-time 3. Functionality between mobile applications and devices should be evaluated when implementing technology, particularly when an application is non-native to a device 4. Continual collaboration between front-line clinicians and technical teams allows for early identification of adverse impacts from, and optimization of, mobile communication technology implementation.