PATIENT FLOW OPTIMIZATION
Enhancing the utilization of assets and staff to significantly improving patient access
Healthcare is in transition, and hospital operations are being taken to another level with advanced AI-driven technologies. Our intelligent solutions are transforming the delivery and quality of care, allowing hospitals to achieve operational excellence with advanced AI and machine learning through the entire patient flow.
With deep expertise in applying AI within healthcare settings, we deliver advanced analytics and intelligent technologies that optimize the allocation of resources, unlocking unsurpassed capabilities with optimized patient flow and increased organizational performance.
Optimized patient flow hinges on the efficient utilization of hospital resources, which in turn relies on effective planning driven by accurate predictions of future demand. But patient flow challenges usually stem from the persistent uncertainty surrounding future demand.
Leveraging Sumo Analytics' advanced AI decision systems, we accurately predict demand for various areas within hospital operations. These predictions enable us to optimize the distribution of beds and staff, ensuring optimized resource allocation and utilization.
The outcome is more efficient hospital operations and improved patient access.
Healthcare Organizations Have an Enormous Potential to Generate Real Value with AI.
90%
Healthcare leaders see AI initiatives as crucial for their organizations' competitiveness.
Source: Deloitte >
$235 billion
AI could potentially save annually in medical costs.
Source: NBER >
~50%
Healthcare professionals plan to integrate AI technologies.
Source: Tebra >
Accurately forecasting demand is the foundation for resource optimization
Use Cases:
ED Patient Volume Forecasting
Surgical Volume Forecasting
Patient Volume Admission Forecasting
Length of Stay Predictions
Department-Level Patient Volume Forecasting
Readmission Risk Predictions
Improved delivery and quality of care
Critical areas accurately predicted with optimized utilization of assets and staff to improve patient access
We understand that every healthcare facility is unique, with its own set of challenges, priorities, and operational requirements. That's why we take a customized approach to each hospital, tailoring our solutions to meet their specific needs and objectives.
ED Patient Volume Forecasting
Our advanced AI techniques accurately forecast Emergency Department visits, providing hospitals with accurate insights into patient influx.
ED congestion is a widespread complex challenge, influenced by unpredictable visit levels. Inaccurate forecasts can lead to understaffing, causing congestion, or overstaffing, resulting in resource waste.
With about 70% of daily admissions originating from the ED, precise forecasts elevate planning capabilities significantly.
Surgical Volume Forecasting
ALZA CARE's AI technology forecasts emergency surgery volumes, optimizing planning and organizational efficiency.
Efforts to optimize OR utilization and staff management are hindered by unpredictable surgery volumes. Our forecasts enable hospitals to schedule elective surgeries strategically, reducing cancellations and waiting lists.
With over 60% of hospital costs tied to staffing, accurate forecasting is essential for efficient planning and OR utilization.
Patient Volume Admission Forecasting
We provide hospitals with accurate short and long-term patient admission forecasts, empowering effective planning and operations management.
Current bed management practices lack foresight, leading to organizational challenges. Our forecasts offer valuable insights for bed management and resource planning.
Our AI technology delivers superior accuracy in predicting how many ED visitors will be admitted, or patients through any other channels into the health system, enhancing operational efficiency.
Patient Length of Stay Predictions
Our AI-driven prediction technology predicts patient Length-of-Stay (LOS) with superior accuracy, enabling detailed operational resource planning.
Patient LOS is considered one of the most critical monitoring and performance indicators in hospitals. Difficulties with predicting LOS lead to the consumption of hospital resources, manpower, and equipment.
ALZA CARE's AI ensures updated LOS times for effective patient management and organizational planning.
Department-Level Patient Volume Forecasting
Accurate forecasting of patient volumes at the department level is vital for hospitals to effectively manage resources and provide quality care.
We forecast the number of patients expected at each and every department, allowing hospitals to have superior clarity of bed requirements at the department level.
By forecasting patient volumes at the department level, hospitals can proactively adjust bed allocation to minimize overcrowding in high-demand departments and optimize resource utilization in others.
Readmission Risk Predictions
ALZA CARE's advanced hospital operations AI accurately predicts readmission risk, providing healthcare organizations with important information about which patients are most likely to be readmitted within 30 days.
Unplanned readmissions signal service and quality issues, highlighting care deficiencies. Our predictions aid in proactive measures to reduce readmissions.
Prediction of readmission risks improves operational planning, reduces excess days, decreases costs, and enhances the patient experience.
Streamlined bed management, optimized staffing, efficient patient flow, and overall effective delivery of care
At the heart of patient flow optimization lies the ability to accurately allocate beds and staff in real time, ensuring that hospitals can efficiently meet patient demand while maximizing resource utilization.
Accurate Bed and Staff Allocation
By integrating accurate predictions from the different areas, we gain precise insights into the expected demand for beds and nursing staff across departments. This enables ALZA CARE to proactively adjust bed allocation to prevent overcrowding in high-demand departments and optimize resource utilization in others.
Skill-based Nurse Allocation
Our optimization algorithms not only consider the demand for beds but also factor in the unique skills and qualifications of nursing staff. By different qualifications of staff, we ensure that staffing allocation align with patient needs and nurse expertise. This approach maximizes staffing optimization and operational efficiency.
Dynamic and Real-time
Our real-time resource optimization system continuously analyzes incoming data and adjusts bed and staff allocations accordingly. This dynamic approach allows hospitals to respond swiftly to changing patient volumes and staffing requirements, ensuring optimal resource utilization at all times.
DECREASED WAITING TIME
MORE SURGERIES
PERFORMED
DECREASED
SURGERY CANCELLATIONS
DECREASED
LENGTH-OF-STAY
REDUCTION IN
EXCESS DAYS
REDUCED
READMISSION RATE
BENEFITS OF
ALZA CARE
AI DECISION SYSTEMS
IN HOSPITALS
As hospitals strive to increase operational efficiency and remove bottlenecks in patient flow, AI technologies are playing an important supporting role.
