Inpatient areas, defined by constant unpredictable inflow and movement of patients, are ripe for technology innovation.
The reality in many hospitals is leaders and frontline teams struggling with phone calls, spreadsheets, meetings, and other manual means to track ongoing patient progress and bed capacity throughout the day.
Every non-clinical task inpatient stakeholders perform, including preparing patients for discharge, opening or closing units based on capacity and allocating staff, requires communicating or recording information. With manual tools, these operational functions are subject to inefficiency and low accuracy. Managing the status and activation of hospital or health system operational protocols and capacity is also challenging to system-level leaders.
Instead, with the right technology in place, a nurse going about their day on the floor can receive a text on their phone or tablet to indicate a patient who is ready to be discharged has been waiting for an unusually long time. They can click the message to see suggested actions to take and immediately address the situation, straight from their device. System leaders, meanwhile, can see performance metrics across the organization visualized on any device in any setting, and delve into these for granular information on operations in a particular site.
Technology that analyzes and distributes information automatically is key to improving processes in the inpatient space. This is made possible by a centralized, modern, AI-powered command center, implemented through strategic change management.