Unleashing trapped capacity in healthcare using AI-driven predictive & prescriptive analytics
Our ACCURACY RATE on future demand patterns is over 90%
Over 90% ACCURATE predictions
FAST curation & SEAMLESS integration
COST EFFECTIVE
solution
100%
Flexibility
In today's fast-paced healthcare industry, hospitals are faced with numerous operational, transformational, and performance challenges around capacity in order to improve efficiency, productivity, and patient and staff experience.
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Better planning + Better preparation + Right tools
=
Enhanced patient & staff experience + Improved NHS trust performance
The Key Challenges We Solve
Excess bed days &
extended LOS in the
inpatient unit
Excess bed days &
extended LOS in the
inpatient unit
Resulting in extended wait times of admitted patients waiting for beds, delayed identification of long-stay patients, prioritizing discharges on wrong patients, care teams failing to take actions to the right patients at the right time, etc.
Failure to meet the
4-hour Target in the
A&E Department
Failure to meet the
4-hour target in the
A&E department
leading to extended patient wait times, uneven staffing to demand, inefficient resource allocation throughout the day
Excess bed days &
extended LOS in the
inpatient unit
Excess bed days &
extended LOS in the
inpatient unit
Resulting in extended wait times of admitted patients waiting for beds, delayed identification of long-stay patients, prioritizing discharges on wrong patients, care teams failing to take actions to the right patients at the right time, etc.
Excess Bed Days &
Extended LOS in the
Inpatient Unit
Excess bed days &
extended LOS in the
inpatient unit
resulting in extended wait times of admitted patients waiting for beds, delayed identification of long-stay patients, prioritizing discharges on wrong patients, care teams failing to take actions to the right patients at the right time, etc.
Excess bed days &
extended LOS in the
inpatient unit
Excess bed days &
extended LOS in the
inpatient unit
Resulting in extended wait times of admitted patients waiting for beds, delayed identification of long-stay patients, prioritizing discharges on wrong patients, care teams failing to take actions to the right patients at the right time, etc.
High
Readmissions
High
readmissions
causing population health management issues due to the inability of identifying patients who are likely to be readmitted prior to them leaving the hospital and inadequate post-discharge care management
Excess bed days &
extended LOS in the
inpatient unit
Excess bed days &
extended LOS in the
inpatient unit
Resulting in extended wait times of admitted patients waiting for beds, delayed identification of long-stay patients, prioritizing discharges on wrong patients, care teams failing to take actions to the right patients at the right time, etc.
Low Utilization of
the Operating
Theatre Room
Low utilization of
the operating
theatre room
causing a backlog of patients awaiting treatment due to the inability of identifying missed opportunities from procedures ending earlier or later than planned, improper staffing due to ineffective scheduling, etc.
Explore Our Solutions
"This ambitious project has greatly helped to ease the pressure on our emergency department and has been a real game changer for us. The Al models developed by Sach Analytics have been well received by both our operational and clinical leadership and is becoming a strategic driver within our entire ICS to manage demand pressures, patient flow, and better serve our patients."
​
Des Lane - Former Associate Director of Informatics & Performance Reporting East & North Hertfordshire NHS Trust
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