LeanTaaS

About LeanTaaS

LeanTaaS develops software solutions that utilize predictive analytics, machine learning, and generative AI to optimize hospital and infusion center operations, enhancing capacity management and resource utilization. Their technology addresses inefficiencies in patient throughput and staff scheduling, resulting in measurable improvements such as increased patient access, reduced wait times, and significant ROI per infusion chair and inpatient bed.

<problem> Healthcare providers often struggle with inefficient capacity management and resource allocation, leading to underutilized operating rooms, infusion centers, and inpatient beds. This results in reduced patient access, longer wait times, increased staff burnout, and diminished financial performance for hospitals and health systems. </problem> <solution> LeanTaaS offers a suite of AI-powered, cloud-based solutions designed to optimize capacity management and improve operational efficiency across hospitals and ambulatory service providers. By leveraging predictive analytics, machine learning, and generative AI, the iQueue platform proactively matches patient demand with available resources, streamlines patient throughput, and automates administrative tasks. This enables healthcare organizations to maximize the utilization of existing assets, reduce patient wait times, improve staff satisfaction, and increase revenue without requiring additional capital investments or staff. The platform's "Transformation as a Service" offering provides a dedicated engagement team to ensure successful implementation, data hygiene, workflow automation, and system-wide governance. </solution> <features> - iQueue for Operating Rooms: Optimizes surgical scheduling and block utilization to increase prime-time OR access and case volume. - iQueue for Infusion Centers: Streamlines patient flow and optimizes scheduling to reduce wait times and improve the patient experience. - iQueue for Inpatient Flow: Predicts patient surges, identifies bottlenecks, and prioritizes discharges to improve bed turnover and staffing allocation. - iQueue Autopilot: Leverages generative AI to automate mundane tasks, support decision-making, and reduce staff burnout across various capacity management use cases. - Real-time insights and forecasting tools to manage scheduling, capacity, and staffing needs. - Cloud-based platform accessible via computer or mobile device with minimal IT overhead. - Integration with existing EHR systems to create a detailed fingerprint of the organization. </features> <target_audience> LeanTaaS primarily serves hospitals, health systems, and ambulatory service providers seeking to improve capacity utilization, streamline operations, and enhance patient access through AI-driven solutions. </target_audience> <revenue_model> The company generates revenue through software subscriptions and "Transformation as a Service" engagements, with pricing based on the specific iQueue modules deployed and the size of the healthcare organization. Hospitals using iQueue have reported an additional $20,000 per infusion chair and $10,000 per inpatient bed annually. </revenue_model>

What does LeanTaaS do?

LeanTaaS develops software solutions that utilize predictive analytics, machine learning, and generative AI to optimize hospital and infusion center operations, enhancing capacity management and resource utilization. Their technology addresses inefficiencies in patient throughput and staff scheduling, resulting in measurable improvements such as increased patient access, reduced wait times, and significant ROI per infusion chair and inpatient bed.

Where is LeanTaaS located?

LeanTaaS is based in San Francisco, United States.

When was LeanTaaS founded?

LeanTaaS was founded in 2010.

How much funding has LeanTaaS raised?

LeanTaaS has raised 130000000.

Location
San Francisco, United States
Founded
2010
Funding
130000000
Employees
385 employees
Major Investors
Insight Partners

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LeanTaaS

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Executive Summary

LeanTaaS develops software solutions that utilize predictive analytics, machine learning, and generative AI to optimize hospital and infusion center operations, enhancing capacity management and resource utilization. Their technology addresses inefficiencies in patient throughput and staff scheduling, resulting in measurable improvements such as increased patient access, reduced wait times, and significant ROI per infusion chair and inpatient bed.

leantaas.com10K+
cb
Crunchbase
Founded 2010San Francisco, United States

Funding

$

Estimated Funding

$100M+

Major Investors

Insight Partners

Team (250+)

No team information available.

Company Description

Problem

Healthcare providers often struggle with inefficient capacity management and resource allocation, leading to underutilized operating rooms, infusion centers, and inpatient beds. This results in reduced patient access, longer wait times, increased staff burnout, and diminished financial performance for hospitals and health systems.

Solution

LeanTaaS offers a suite of AI-powered, cloud-based solutions designed to optimize capacity management and improve operational efficiency across hospitals and ambulatory service providers. By leveraging predictive analytics, machine learning, and generative AI, the iQueue platform proactively matches patient demand with available resources, streamlines patient throughput, and automates administrative tasks. This enables healthcare organizations to maximize the utilization of existing assets, reduce patient wait times, improve staff satisfaction, and increase revenue without requiring additional capital investments or staff. The platform's "Transformation as a Service" offering provides a dedicated engagement team to ensure successful implementation, data hygiene, workflow automation, and system-wide governance.

Features

iQueue for Operating Rooms: Optimizes surgical scheduling and block utilization to increase prime-time OR access and case volume.

iQueue for Infusion Centers: Streamlines patient flow and optimizes scheduling to reduce wait times and improve the patient experience.

iQueue for Inpatient Flow: Predicts patient surges, identifies bottlenecks, and prioritizes discharges to improve bed turnover and staffing allocation.

iQueue Autopilot: Leverages generative AI to automate mundane tasks, support decision-making, and reduce staff burnout across various capacity management use cases.

Real-time insights and forecasting tools to manage scheduling, capacity, and staffing needs.

Cloud-based platform accessible via computer or mobile device with minimal IT overhead.

Integration with existing EHR systems to create a detailed fingerprint of the organization.

Target Audience

LeanTaaS primarily serves hospitals, health systems, and ambulatory service providers seeking to improve capacity utilization, streamline operations, and enhance patient access through AI-driven solutions.

Revenue Model

The company generates revenue through software subscriptions and "Transformation as a Service" engagements, with pricing based on the specific iQueue modules deployed and the size of the healthcare organization. Hospitals using iQueue have reported an additional $20,000 per infusion chair and $10,000 per inpatient bed annually.

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