Case study on clinical analytics by infovibes

Clinical Analytics

Clinical Analytics Dashboard

Clinical Analytics Dashboard

Clinical Analytics

clinical analytics processes by infovibes

CASE CONTEXT

In the rapidly evolving world of healthcare, leaders are under constant pressure to improve clinical outcomes, optimize resource utilization, and control operational costs — all while maintaining the highest standards of patient care. However, these goals are often difficult to achieve due to fragmented data systems, delayed reporting, and limited visibility into key hospital performance indicators.
A major healthcare group with multiple facilities approached Infovibes with a clear challenge: they needed a real-time analytics solution that could unify patient, clinical, and operational data across hospitals and departments.

Key Operational Challenges

Key Operational Challenges

1.

Delayed Reporting and Decision-Making

Data was compiled manually from multiple hospital systems, resulting in time lags and outdated insights. By the time management received reports, the underlying data had already changed.

2.

Limited Visibility Across Departments

Executives had no unified view of patient flow, bed occupancy, or departmental performance. Key questions such as “Which departments are overburdened?” or “What is the current occupancy rate?” couldn’t be answered in real time.

3.

Inefficient Resource Allocation

Without real-time visibility into occupancy, patient stay duration, and departmental demand, resource planning — including staffing and equipment usage — was reactive rather than strategic.

Our Solution

Infovibes designed and deployed a Clinical Analytics Dashboard built on Qlik Sense, leveraging its advanced visualization and data modeling capabilities to deliver actionable insights to healthcare leaders.

01

Data Integration and Centralization

We integrated data from multiple hospital information systems, including patient records, admissions, billing, and departmental databases. This created a unified data warehouse that consolidated key metrics such as:
● 2,000 patients and 9,500 encounters across facilities
● $23.85 million in total revenue tracked
● 448.8 average bed occupancy across units
● 3.02 days average length of stay per patient

02

Interactive Dashboards and Visual Insights

The Qlik Sense dashboard was built with user-friendly, role-based views to support administrators, department heads, and clinicians.
● Patient Demographics: Segmented by gender, age group, and visit type to identify population trends.
● Departmental Performance: Live dashboards for top departments — Cardiology, ICU, Neurology, and Oncology — displaying patient inflow, average stay, and departmental costs.

03

Predictive and Comparative Analysis

Beyond descriptive insights, the dashboard incorporated predictive capabilities. By analyzing past admission trends, it forecasted upcoming patient volumes and highlighted potential resource bottlenecks. It also enabled comparative analysis across hospitals and departments — allowing management to benchmark performance, identify outliers, and replicate best practices across facilities.

04

User Training and Change Management

To ensure adoption, Infovibes conducted workshops and training sessions for both technical and non-technical staff. The focus was on helping users interpret dashboard insights, customize their views, and integrate data-driven decision-making into daily operations.

Impact Achieved

Impact Achieved

Improved Operational Efficiency:

Manual reporting processes were eliminated, reducing turnaround times for reports from days to minutes. Decision-makers could access live data from any facility, improving responsiveness to emerging challenges.

Case study of Optimizing operational efficiency by infovibes

Impact Achieved

Smarter Resource Allocation:

Real-time visibility into bed occupancy, patient volumes, and departmental workloads enabled better allocation of staff, equipment, and budget resources. Administrators could anticipate demand surges and proactively manage capacity.

A Case Study of Optimizing Smart Resource Allocation by infovibes

Impact Achieved

Cost Optimization per Patient:

The system allowed finance teams to correlate cost-per-patient metrics with operational data, uncovering inefficiencies and areas for savings. By monitoring these insights continuously, hospitals optimized spending without compromising care quality.

A Case Study of cost optimization by infovibes

Impact Achieved

Better Patient Care Insights:

Clinicians gained visibility into patient demographics, length of stay, and readmission patterns, helping identify clinical trends and improve patient outcomes. The ability to correlate operational data with clinical indicators bridged the gap between care delivery and management.

A Case Study of Better Patient Care by infovibes

Impact Achieved

Data-Driven Culture:

The biggest change was cultural — leadership and staff began relying on data rather than intuition. The organization shifted from reactive management to proactive, insight-led decision-making, balancing financial performance with quality care.

A Case Study of Data-Driven Culture by infovibes

Final Conclusion

Our solution successfully addressed the challenges posed by the duplication of systems, manual quotation distribution, and product setup inefficiencies. By implementing a unified Quotation Management system and an automated EDI system, our client experienced improved efficiency, accuracy, and productivity in their business operations. The streamlined processes have positioned the firm for continued success and growth in the dynamic IT consulting landscape.

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