Enterprise Business Intelligence and Decision Support for Healthcare: Integrated Health Intelligence

Administrators, clinicians, staff, and analysts in hospitals and healthcare provider organizations are challenged to access and share data because they rely on disparate systems with data spread across multiple applications, which at best only provide information from an individual episode and departmental perspective. Information Builders' Integrated Health Intelligence (iHi) provides an enterprise business intelligence platform for delivering clinical, financial, and operational information across departments, service lines, episodes, and patients to improve patient care and operational efficiency. iHi includes pre-built performance management scorecards and dashboards; secure, self-service operational reporting; advanced visual and ad hoc analytics; and enterprise search on top of a robust data model. Specific capabilities in each area include:

• Clinical performance management – Enables executives and administrators to quickly identify underperforming areas, spot trends, and justify changes in budget, staffing levels, and resource utilization through pre-built dashboards, scorecards, and performance metrics
• Analytics – Provides data-driven, evidence-based decision support with easy-to-use guided ad hoc analytics and pre-built reports. End users with little or no training can examine data across many dimensions - by patient, service, department, provider, payer, and more. This provides end users with the ability to identify best practices, enable smarter service planning, find process improvements, develop ways to increase revenue, and more
• Operational reporting – Extends information to the point-of-care providing self-service operational reporting for clinical staff and administrators. By extending reporting capabilities to everyone who impacts operations, individuals make better-informed decisions, resulting in higher productivity, cost-efficiency, and processes improvement
• Enterprise search – Provides users with a Google-like interface that can search across structured and unstructured data for clinical research. Once records have been identified, the user may leverage intuitive tools to further analyze the results of the search to uncover relationships between symptoms, diagnoses, treatments, outcomes, or various demographic groups that they never knew existed.