Software innovator LeanTaaS has announced the launch of its new cloud-based solution, iQueue for Inpatient Beds, to help health systems increase bed throughput.

The company increases patient access and transforms operational performance for more than 300 hospitals.

Health systems can use iQueue for Inpatient Beds to drive daily inpatient capacity management decisions at all levels ranging from a single operations-focused source of truth, including discharge and admissions predictions for each unit.

LeanTaaS has developed the solution to combat the key issues faced by hospitals, including poor visibility into the existing and future bed capacity.

Other issues include reactive decision-making, lack of end-to-end digital workflow and variable demand being met with limited supply.

LeanTaaS founder and CEO Mohan Giridharadas said: “Inpatient bed throughput practices are traditionally labour-intensive, leading to errors and an excess of time spent reporting out numbers.

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“We are pleased to provide capacity leadership with a solution that dramatically reduces the amount of time spent manually compiling, searching for and reporting out data, allowing more time for optimizing patient care while reducing clinician burnout.”

iQueue for Inpatient Beds can surface admission bottlenecks by leveraging real-time machine learning/AI-based admission and discharge prediction models.

Additionally, it captures the unique complexities and characteristics of each of the individual hospital units to improve prediction accuracy.

University of Colorado Health (UCHealth) deployed the solution to improve its daily throughput practices.

UCHealth Capacity Management and Patient Representatives director Jamie Nordhagen said: “The tool has also been instrumental in navigating Covid census and patient flow across our system in different ways.”