Hospitals and Clinics
Community hospitals (50-150 beds) with complex operational challenges
Real Use Cases in Hospitals
Bed Management During Demand Peaks
Situación:
120-bed hospital without real-time occupancy visibility. Medical Director spends 2h daily on calls to check bed status, expected discharges, and blocked patients. During epidemic peaks (flu, COVID), the ED collapses without being able to quickly identify available beds. Management pressures to improve occupancy rate (target >85%) without compromising quality of care—an impossible balance to measure without objective data.
Solución:
Layer 1 (Digitalization): We connect to SAP in read-only mode, extracting admission/discharge data every 15min without modifying the existing system. Layer 2 (Monitoring): Command Center displays in real time occupied/available beds by department, expected discharges, and blocked patients awaiting social services processing.
Capas Implementadas:
Impacto:
40% reduction in time spent on manual bed management (from 2h to 45min daily). Immediate identification of 8-12 blocked patients who could free acute beds. 15% improvement in ED response time for admissions—reducing wait times for patients needing hospitalization and improving the patient experience during critical moments.
Optimization of Prolonged Stays
Situación:
12-15% of patients with length of stay > 10 days without clear clinical reason. Lack of tools to detect cases that could benefit from early discharge management or transfer to lower complexity units (e.g., intermediate care, home hospitalization). The average length of stay KPI is 20% above the regional benchmark, generating Board pressure without visibility of which specific cases are inflating the metric.
Solución:
Layer 1 (Digitalization): We integrate length of stay data with DRG benchmarks and clinical discharge criteria. Layer 2 (Monitoring): Ward Flow automatically identifies patients with stays >10 days without clinical justification and flags them for daily review by the discharge management team.
Capas Implementadas:
Impacto:
8% reduction in overall average length of stay (from 6.2 to 5.7 days), freeing beds for patients who need them and reducing the risk of complications associated with prolonged hospitalizations. Release of 6-8 equivalent beds through better turnover allows treating more patients faster. Estimated savings of 180K/year in unnecessary hospitalization costs.
Admission Decision from Emergency Department
Situación:
ED takes 45-90 minutes to locate a bed for admission, making 8-12 calls to different departments. There is no centralized visibility of availability, generating staff frustration and delays in care. Door-to-bed time KPIs consistently exceed 4 hours, risking penalties for non-compliance with quality of care standards.
Solución:
Layer 1 (Digitalization): We consolidate bed availability data from all departments into a single source of truth. Layer 2 (Monitoring): ED Operations Dashboard displays real-time availability with discharge predictions for the next 4h, eliminating the need for phone calls.
Capas Implementadas:
Impacto:
80% reduction in ED-to-ward calls (from 10 to 2 calls/admission). Bed assignment time reduced from 60min to 15min—significantly reducing the time patients spend in the ED waiting for admission, improving their safety and comfort. Improved satisfaction among ED and ward staff (fewer interruptions).
Automated Reporting for Management
Situación:
Medical Direction and Management require consolidated weekly reports: average occupancy, admissions/discharges, average length of stay, surgical activity, emergency department. Administrative staff invest 6-8h weekly consolidating data manually from multiple sources (SAP, Excel, PDFs). The Board demands explanations on KPI deviations, but data arrives 1-2 weeks late—making timely corrections impossible.
Solución:
Layer 1 (Digitalization): AI parsers extract data from SAP, Excel, and PDFs, consolidating them into a unified database. Layer 2 (Monitoring): Executive Command Center displays all key metrics with 12-month historical data. Layer 3 (Response): Automatic alerts for deviations >10% vs. targets sent directly to Medical Direction.
Capas Implementadas:
Impacto:
Savings of 300h/year in manual report preparation (from 8h to 30min weekly). Better-informed decisions thanks to real-time data vs. reports with 1-2 weeks of delay. Better accountability with visible historical trending.
Hospital-Specific Dashboards
Solutions tailored to the unique needs of hospital management and patient flow.
Executive Command Center
Complete visibility of hospital status on a single screen: occupancy by department, active emergencies, operating rooms in use, expected discharges. Ideal for Medical Direction and Management.
Ward Flow
Patient flow management by ward: identification of blocked patients, prolonged stays, discharge criteria. Proactive bottleneck alerts.
ED Operations Dashboard
Emergency department optimization: patients waiting, triage times, bed availability for admission, hourly saturation. Rapid bed assignment.
KPI Tracking Dashboard
Tracking of key indicators: average length of stay, occupancy rate, readmissions, surgical activity. Historical comparisons and internal benchmarking.
Key Metrics We Monitor
Occupancy and Availability
- % occupancy by department in real time
- Beds available now vs. in the next 24h
- Expected and confirmed discharges per shift
- Blocked patients awaiting social discharge
- Historical occupancy (daily, weekly, monthly)
Patient Flow
- Admissions from ED per day/week
- Average ED-to-ward admission time
- Transfers between departments and reason
- Discharges by department and destination (home, care facility, transfer)
- 30-day readmission rate
Operational Efficiency
- Average length of stay by department and by DRG
- Patients with stay > 90th percentile by diagnosis
- Bed turnaround time post-discharge
- Bed turnover (admissions per bed/month)
- Case-mix index and average DRG weight
Emergency Department and Triage
- Patients waiting by triage level
- Average wait time until first care
- % of patients admitted vs. direct discharge
- ED saturation by time slot
- Left without being seen (% and reasons)
Measurable Impact on Hospital Operations
Real results achieved by hospitals with our bed management and patient flow solutions.
Time Saved on Information Access
150h/year
From 2h daily to 45min. Elimination of calls between departments to locate beds and check patient status. Physicians can focus on clinical care instead of logistics, improving quality of care.
Reduction in Average Length of Stay
8%
From 6.2 to 5.7 days. Early identification of blocked patients and optimized discharge management. Patients return home sooner, reducing the risk of complications associated with prolonged hospitalizations (nosocomial infections, functional decline).
Reduction in ED-to-Ward Calls
-80%
From 10 to 2 calls per admission. Centralized real-time visibility of bed availability. Patients are admitted in 15min instead of 60min, significantly reducing wait times in the emergency department and improving their safety during critical moments.
Manual Reporting Time Saved
300h/year
From 8h weekly to 30min. Automated consolidation of reports for management. Faster decisions based on real-time data directly benefit quality of care and reduce unnecessary patient circuits.
Who Is This For?
Tangible value for each key hospital stakeholder. We don't sell dashboards, we solve concrete pain points.
Management and Medical Direction
Su Sufrimiento:
Pressure to meet KPIs for occupancy, average length of stay, and surgical activity without compromising quality of care. Manual reports that arrive 1-2 weeks late.
Nuestra Solución:
KPIs visible in real time without manual work. Immediate identification of deviations >10% vs. targets. Automated reporting for the Board.
ROI para Ellos:
300h/year saved + decisions based on current data, not retrospective
Physicians and Nursing
Su Sufrimiento:
Time wasted locating available beds (8-12 calls per admission). Constant interruptions from the ED asking about availability. Lack of visibility on expected discharges.
Nuestra Solución:
Centralized real-time visibility of available beds. Elimination of 80% of phone calls between departments. Dashboard accessible from any device.
ROI para Ellos:
150h/year recovered for clinical care. Less daily operational stress.
Patients (End Customer)
Su Sufrimiento:
Long waits in the ED for admission (45-90min). Unnecessarily prolonged hospital stays. Risk of transfer errors between departments due to lack of information.
Nuestra Solución:
Faster admissions (60→15min). Proactive discharge management reduces unnecessary stays. Optimized circuits minimize duplicates and transfer errors.
ROI para Ellos:
Better experience during critical moments. Less risk of nosocomial infections. Faster return home.
IT Systems Managers
Su Sufrimiento:
Fear of touching production SAP. Complex integrations requiring months and vendor approvals. Risk of destabilizing critical systems.
Nuestra Solución:
100% read-only architecture, without modifying existing systems. Integration in 6-8 weeks without SAP vendor approval. Zero stability risk.
ROI para Ellos:
Low technical risk project. Visible value quickly without touching critical infrastructure.
Frequently Asked Questions - Hospitals
How do you obtain real-time bed occupancy data?
We connect directly to the admission system database (SAP ISH, Selene, Mambrino, etc.) in read-only mode, without modifying anything. We extract data on active admissions, discharges, and transfers every 5-15 minutes. If there is no direct database access, we can work with scheduled exports or HL7 integrations.
Do we need to modify SAP or the admission system?
No. Our architecture is 100% non-invasive. We only read data from your existing system without touching it. This avoids stability risks, does not require IT approval from the system vendor, and enables rapid implementation (6-8 weeks).
Is patient data protected according to GDPR?
Yes. Dashboards can be configured to display only patient IDs (not names) if needed. All infrastructure is hosted on EU servers (Germany), with end-to-end encryption and full GDPR compliance. We sign a DPA (Data Processing Agreement) with all clients.
Can we customize which metrics we see on the dashboard?
Absolutely. Each hospital has different priorities. During setup, we define together which KPIs are critical for your case: some prioritize bed management, others prolonged stays, others ED flow. The dashboard is configured according to your specific needs.
How long does implementation take for a 100-150 bed hospital?
Between 6-8 weeks. Weeks 1-2: Data source analysis and connectivity. Weeks 3-4: Integration setup and data quality validation. Weeks 5-6: Dashboard configuration according to your KPIs. Weeks 7-8: Training and go-live with intensive support. Once in production, adjustments and new metrics are added in days.
How were these results achieved?
This organization implemented our 3-Layer Governance System
Implemented Layers:
Products Used:
Discover how each layer connects to create a complete operational governance ecosystem
Explore the 3-Layer SystemClinical Supervision and Real-World Validation
Every solution is designed using the 3-layer methodology and supervised by Dr. Mariano Balaguer to ensure real clinical impact. It's not technology for technology's sake—it's operational governance with medical judgment.
Security and Transparency
100% EU Cloud
Infrastructure in the European Union. Your data never leaves EU territory.
GDPR Compliant
Full compliance with the General Data Protection Regulation.
No Vendor Lock-In
Grafana open-source, fully exportable data. 3-month transition period guaranteed.
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