top of page
Abstract digital background. Futuristic wave of dots and weave lines. Digital technology.


With superior expertise in prediction science, we deliver advanced analytics and AI/ML technologies helping hospitals become data-driven in their operations, unlocking unsurpassed capabilities with optimized patient flow and increased organizational performance.

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.

Abstract digital background. Futuristic wave of dots and weave lines. Digital technology.


Reduced ED boarding and congestion, shorter waiting times, quicker decision-making and better planning


We use advanced AI techniques to forecast Emergency Department visits with superior accuracy, allowing hospitals to know how many are coming through the door every hour.

ED congestion is a global problem where hospitals have difficulties forecasting the level of visits. Not knowing how many visits are expected can both lead to understaffing scenarios which can cause major crowding and congestion, and overstaffing which leads to a waste of resources.


About 70% of patients admitted each day come through the ED and having accurate forecasts of how many are arriving can take planning to another level.


Leverage ALZA CARE's automated AI platform for hospitals to forecast ED visits with superior accuracy.

Surgical Scissors


During a patient's first contact with ED staff, we predict in real-time the likelihood of admission to inpatient units and which unit specifically. Then inform the unit immediately of the likely admission allowing for immediate preparation for their arrival. At the same time, we predict in real-time the likelihood of a surgical emergency and inform the OR immediately of a potential operation, allowing for quicker response time and preparation.


ED congestion is often caused by the inability to transition patients into inpatient units within the hospital in a timely fashion. When an ED patient is admitted to the hospital as an inpatient, they often spend several hours waiting for their hospital bed to become available, causing ED boarding and congestion, both significant problems in hospital operations.


By accurately predicting if an ED patient is likely to be admitted or not with real-time AI-driven analytics during testing and screenings, hospitals can significantly speed up transition and consequently reduce waiting times and ED boarding.


We forecast patient admissions with superior accuracy, both long-term and short-term, giving hospitals critical information for planning and operations management.

Bed management is only based on the current situation, i.e. the constant monitoring of hospital admissions, discharges and patient flow within a hospital at any given moment. But that doesn’t allow for any planning since the future is always unknown, which causes major organizational challenges within hospitals. ​

Knowing how many patients will be admitted at any given moment is extremely valuable for bed management and general resource planning, both for frontline staff as well as upper management. 

ALZA CARE's AI-powered technology provides healthcare organizations with superior accuracy of how many ED visitors will be admitted, or patients through any other channels into the health system

Emergency department


More emergency surgeries, fewer elective surgery cancellations, reduced waiting lists and general OR optimization


ALZA CARE's advanced AI-driven technology accurately forecasts the number of emergency surgeries and the duration of surgical procedures, allowing for optimized planning and organisational excellence.

Hospitals and outpatient surgery centres strive to optimize OR utilization and staff management, but nursing scheduling and optimised operational planning become impossible when not knowing how many will require surgery or how long they will take.

With superior clarity of the future, hospitals are scheduling elective surgeries on days when fewer emergency surgeries are forecasted, significantly reducing the likelihood of elective surgeries being cancelled, and consequently, reducing waiting lists. 

Over 60% of total hospital costs are related to staffing, making the ability to forecast accurately essential for hospitals to plan efficiently and ensure maximum OR utilization.


Our advanced prediction technology predicts weeks in advance with unprecedented accuracy which elective surgeries are likely to be cancelled, automatically confirming block time usage.

There’s a common practice that surgeons with block time only use a portion of the block time they’ve been allocated. And when block time is released back to the OR, it’s often at the last minute, which forces OR management to scramble to fill the time with any available case.

With ALZA CARE's superior AI-driven perioperative solution, hospitals will optimise OR access, grow case volume, and significantly reduce waiting lists.

Portrait Of Female Surgeon Wearing Scrubs And Protective Glasses In Hospital Operating The
Abstract digital background. Futuristic wave of dots and weave lines. Digital technology.


Shorter LOS, increased bed turn rate, decreased readmission rate, improved quality of care


Our AI-driven prediction technology predicts patient Length-of-Stay (LOS) with superior accuracy, allowing hospitals to plan their operational resources in detail. 

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. Predicting LOS, especially in ICUs, is beneficial from different aspects in terms of the hospital's organisational efficiency and planning, the patient's medical plan and family, and insurance companies.


With ALZA CARE's advanced AI-powered LOS models, hospitals have all patients' LOS times updated constantly for effective patient management and general organizational planning

Blurred hospital images, Patient bed in the hospital, Hospital cleaning, Hospital disinfec


ALZA CARE's advanced hospital operations platform accurately predicts readmission risk and provides healthcare organizations with important information about which patients are most likely to be readmitted within 30 days. 

Unplanned readmission after discharge is a critical measure of a hospital’s service and quality levels, as it often indicates problems with patient care during the hospitalization, and is a key indicator of the effectiveness of a patient's treatment plan.


Readmissions can be dramatically decreased if additional attention is on patients with high readmission risk and with preventive measures taken.


Early prediction of hospital readmission risks with ALZA CARE's advanced AI models significantly improve operational planning, reduce unnecessary cost, and improve the patient experience.


We optimize discharge management using advanced analytics and AI/ML in order to streamline hospital operations. 

The patient flow impacts directly the quality of care at hospitals and healthcare units, new patient access, and financial performance.


Doctors and nurses usually have to guesstimate discharge times which is not always accurate, resulting in an unacceptable utilisation of beds and patient space.


ALZA CARE's unparalleled discharge predictions are designed to streamline inpatient flow and reduce hospital overcrowding without adding capacity. This is critical to cost-saving and efficient hospital operations to enhance overall healthcare service and quality levels.



Optimized staffing, streamlined bed management, efficient patient flow, and overall effective delivery of care

ALZA CARE's advanced AI-driven automation platform optimizes the utilization of hospital resources using advanced data science and analytics.

There’s a major tension within hospital systems globally which need to balance costs, quality of care, capacity and efficiency. Quality care depends on having sufficient bed space, optimised staffing, and the ability to move patients effectively through the system hour by hour and day by day. 

Our solution allows hospitals to better manage resources and streamline hospital bed assignment decisions and staffing needs with accurate forecasts of the number of incoming patients, superior LOS predictions and optimizing discharge management to free up patient space more efficiently. 

Our advanced solution uses sophisticated AI techniques to streamline bed management and accurately forecast staffing requirements for short- and long-term planning and helps healthcare professionals make better and quicker decisions.

Real-time resource optimization

As hospitals strive to increase operational efficiency and remove bottlenecks in patient flow, data-driven technologies are playing an important supporting role.


Preventing blood shortages by accurately forecasting blood demand

ALZA CARE's automation platform utilizes sophisticated AI/ML models that take multiple variables into account and accurately forecast both short- and long-term blood demand within hospitals, allowing planners to see fluctuations in blood usage on a weekly and daily basis.


This provides hospitals with critical insight to proactively prevent blood shortages of different blood types and optimize blood supplies.

Blood demand forecasting

Talk to us and see how our advanced AI-driven automation platform can help at your hospital

bottom of page