GlobeOSS
Healthcare Analytics
Drive digital transformation through advanced analytics with AI/ML. Increase operational efficiencies, increase customer experience and increase new innovative business products.
The healthcare industry is currently facing significant challenges due to the COVID-19 pandemic. As the world transitions towards an endemic phase, GlobeOSS can provide valuable assistance to healthcare industry customers in adapting to the new challenges that arise.
GlobeOSS's analytics capabilities can contribute to driving value-based healthcare. Through advanced analytics, AI, and machine learning, we can assist in improving clinical decision-making. The utilization of IoT analytics will enable our customers to achieve faster time to value. Additionally, leveraging geospatial data science, we can provide our customers with geographical analytics to support both clinical and business decisions.
Healthcare Analytics
Use Cases
Medical Supply Chain
Supply Chain Analytics for medical supply (end to end view of supply chain throughout the organization)
Health Factor Analysis
Disease Surveillance & Prediction (with public data – human mobility, financial data & POIs)
Medical Site Selection
Medical Site Selection (Whether it’s hospitals, primary care, residential homes or dental clinics, selecting optimal locations to serve citizens & clients is fundamental to ensure quality service & profitability.
Patient Insights
Know exactly what your patients 360, when they want it. And make sure they get it.
Branches and location performance Insights
Patient Value Management
Loyalty
Patient Touchpoints analytics
IOT Medical
Air Quality. Temperature Monitoring. Nurse Call System . HVAC Filter . Occupancy . People Flow Calculation . People Counting.
Capacity Planning
Population Health (Analyzing structured and unstructured clinical and operational data) and predict the outcomes through machine learning/AI.
Capacity Planning by branches and beds
Improve success rate of clinical trials (Research, Prevention, Innovation)
Patient Data Platform
Determine patients loyalty state, next best action, customer lifetime value using AI. (Patient Care)
Churn Prediction
Next Best Offer
Clinical Staff Demand Analytics
Forecast demand for clinical staff (predict patient volume)
Workforce planning and performance management (Staffs management)
Healthcare Cost Analytics (Improve hospital operational performance, throughput and capacity)
Claims Management
(Identify potential billing anomalies and detect fraudulent claims, fraud detection etc)
Technology
