Empowering Healthcare Teams: Baptist Health’s Journey to System-Wide Efficiency

Join the President of Baptist Health Medical Center – North Little Rock as he shares the health system’s transformation journey through the adoption of iQueue for Inpatient Flow. This session will explore how Baptist Health partnered with LeanTaaS to streamline patient flow, improve care progression, and enhance discharge management across multiple hospitals. Attendees will learn […]

Springhill Medical Center Transforms Patient Flow with AI-Powered Innovation 

Springhill Medical Center is a leading healthcare system within its region. The 270-bed acute care hospital has received prestigious recognitions, including being named a Top 100 Hospital and a Top 100 Hospital with Magnet Designation by IBM Watson Health. With an extensive continuum of care spanning an ambulatory surgical center, imaging center, physician practices, skilled […]

Optimize Nurse Coverage: An Innovative Approach to Overcoming Staffing Challenges Leveraging AI and Automation to Enhance Collaboration and Outcomes

Ensuring optimal nurse coverage in acute care hospitals is an urgent challenge exacerbated by the nursing shortages that have profoundly impacted healthcare organizations resulting in higher nurse-to-patient ratios, increased reliance on premium pay strategies, and the need to close beds due to inadequate staffing, all of which impact patient care quality and staff satisfaction. The […]

KLAS Research Insight: Characteristics of a Strong Software and Services Partner for Inpatient Flow

Inefficient patient flow remains a constant challenge for healthcare providers, leading to bottlenecks, underutilized capacity, and suboptimal care experiences. LeanTaaS has pioneered an innovative AI-powered approach to optimize inpatient operations and streamline flow with iQueue for Inpatient Flow. The 2024 Emerging Insights Report by KLAS provides a powerful third-party validation of iQueue’s exceptional performance and […]

Breaking Throughput Barriers: An AI-Powered Approach to Improved Efficiency

Healthcare organizations strive to enhance patient care while managing complexities and cost pressures. While leaders have optimized many processes, opportunities remain to drive further improvements. By implementing predictive analytics and AI solutions, forward-thinking providers are identifying new ways to boost operational performance. In this session, Sharon Barincle, Executive Director, Revenue Cycle of Springhill Medical Center, […]

Accelerating Outcomes: How AI Helps Command Centers Achieve More

Healthcare systems have made tremendous strides in delivering quality care despite rising complexity and cost pressures. Their accomplishments speak to the skill and dedication leaders have invested in optimizing clinical and operational processes. Yet the most innovative recognize there are always new heights to reach. Guided by a commitment to continuous improvement and equipped with […]

Leveraging AI technology to proactively optimize inpatient flow and capacity

In an ideal scenario, a hospital’s patient flow would be fully optimized. Patient admission patterns would be almost as predictable as the guest arrival patterns in hotels, with their scheduled check-in and check-out times. Patients would be discharged as soon as they are cleared to do so, staff allocated in advance to the units where […]

Reimagining the inpatient command center through AI, automation, and change management

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 […]

Reimagining Your Command Center Strategy: Uniting AI, Automation, and Change Management to Drive $10k Per Bed Annually in Increased Margins

Providing optimal access to care requires health systems to maximize the utilization of their resources across every hospital in their network. Unfortunately, fragmented and siloed operations exist across patient placement centers, staffing offices, and the individual hospitals within the network.  This leaves both system and local executives dealing with conflicting operational improvement strategies, disconnected system-level […]

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