Care transitions in the hospital
As the pandemic pushed telehealth in the spotlight with exponential adoption, many people equated telehealth with a video call with a clinician from the comfort of our homes. But the power of robust data integration enables so much more: a new virtually-driven care model that provides clinicians with access to meaningful patient insights and trends when and where they need them. The intelligence that comes with collecting, analyzing and representing data that allows caregivers to act on it with confidence plays a critical role in managing the care of our sickest patients and informing resource allocation decisions within the hospitals. These insights act as a guiding light for determining the most appropriate care setting for a patient and when is the optimal time to activate this transition. By offering a data-driven, holistic view of a patient’s journey, clinicians can effectively decide where a patient will have the most successful outcomes.
By leveraging these insights, health systems are now implementing centralized command center models to improve care transitions. By generating real-time analytics and proactive recommendations, centralized care solutions can help ensure patients are transitioned to the most appropriate care setting. For example, tele-ICUs, led by an intensivist team in a central monitoring facility that acts similarly to an air traffic control center, can extend critical care resources to the bedside, no matter where the hospital is. With time-critical data capture, these intensivists can be responsible for 50-1,500 remote ICU beds at a time, and quickly intervene should the data and trending indicate early signs of deterioration.
Particularly during the pandemic, tele-ICU solutions became absolutely essential in response to ICU surges for many of our customers. Hospital leaders quickly discovered that telehealth’s ability to access patients remotely not only applied to being miles away, but also from five feet away. By extending monitoring capabilities beyond the bedside, clinicians could avoid repeatedly entering a COVID-19 patient’s rooms while maintaining line-of-sight into their wellbeing.
AI-enabled monitoring and clinical decision support tools can also help guide care transitions, by turning data into actionable, digestible insights. Whether they’re at the bedside or offsite, clinicians can have a holistic view of a patient’s condition and catch health trends at a glance to identify patients who are ready to be transferred to another care setting, or transition care outside of the hospital, providing end-to-end oversight. Telehealth solutions that empower staff with continuous data capture, advanced data visualization and predictive analytics allow for proactive rather than reactive care and guide timely interventions.