Hospital Data Analytics allow doctors, nurses and hospital executives to improve patient outcomes at a lower cost of care. By streaming data from multiple sources—including electronic medical record (EMR) and financial data—healthcare providers and operational staff can focus more time on improving outcomes while successfully lowering costs.
For hospital data analytics software to add value, data must pass through three stages: data capture, data provisioning and data analysis. AcesoCloud’s cloud-based platform with embedded artificial intelligence excels at all three stages to help hospitals maximize value-based care.
Three Hospital Data Analytics Stages: Data Capture Data Provisioning Data Analytics
Health Management Solutions
Clinical variation could be critical in evaluating the efficiency and effectiveness in care delivery. Hospitals that use data analytics to identify variation can improve quality.
Based on the analyze, plan and optimize (APO) model for supporting clinical and operational process improvement initiatives, the healthcare analytics platform offers an effective framework to organize and control process-improvement projects, optimize resources, and re-engineer care pathways.
Hospital Data Analytics Platform
HIPAA compliance transcends information security. Though many cloud-based or hosted-infrastructure providers claim to be HIPAA compliant, they often offer do-it-yourself tools.
The truly HIPAA-compliant infrastructure comprises multiple layers: data-center compliance, cloud infrastructure compliance, disaster recovery compliance and cloud backup compliance. Hospitals can be sure that their applications and data are HIPAA compliant, secure and optimized to deliver sustainably measurable outcomes.