Frontline healthcare employees are the heart of successful patient outcomes. Artificial intelligence applied to existing hospital data can support frontline teams, allowing them to focus on what matters most, patient care. With AI for healthcare operations, staff can better understand where slowdowns occur and create strategies to improve efficiency.
The challenge: Time is of the essence
In the ED, timing can make a huge difference in a patient’s health and well-being. While 27 percent of patients are seen within fewer than 15 minutes in the ED, it often takes another 24 minutes to visit with a physician, Becker’s Hospital Review reported. In total, patients can spend around 135 minutes in the ED before being sent home. Boarding patients often spend 96 minutes before being taken to their room.
EDs have a select number of beds and medical professionals available to attend patients. As demand for these resources increases, it’s important for hospital administrators to prioritize cases and doctors effectively and ensure that no one leaves without being seen. With the right data insights, frontline teams can make proactive process changes to improve patient throughput and reduce LWBS rates.
Using AI for hospital operations
Patients that leave without receiving care impact hospital liability and revenue, making it important to care for individuals as effectively and quickly as possible while ensuring quality treatment. A significant amount of data is generated in EDs every day. What if hospital administrators could use this information to improve productivity across a wide variety of operational tasks?
AI for hospital operations offers the chance to do just that. By looking at historic and real-time data, Qventus makes data actionable and promotes proactive behavior. For example, analyzing data around elements like new patient flow, discharge rates, length of stay and even the time of year, Qventus can predict pending spikes in waiting room congestion. This information can be used to inform ED nurses and in-patient charge nurses, creating virtual collaboration to prioritize discharges at the right time.
News from our partners.
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