IBM has announced at HIMSS08 a portfolio of health analytics solutions for health systems. IBM's Enterprise Health Analytics harness the power of information generated by today's healthcare industry by converting it into new, data-driven intelligence.

IBM's Enterprise Health Analytics are a complete suite of services, infrastructure, and tools that can be tailored to the needs of any client -- from entry level, off-the-shelf analytics capabilities to custom-built data warehouses for academic and research settings. The solutions fill a significant void in data integration and intelligent analyses that currently poses a major barrier to transformation in the Healthcare Industry.

"We have witnessed an explosion of data and complexity in the healthcare industry over the past two decades. Hospitals moved to adopt Electronic Medical Records. Technology vendors delivered proprietary applications that captured and integrated discrete data to improve clinical processes. And the demand for clinical and departmental systems accelerated," said Dan Pelino, General Manager, IBM Global Healthcare & Life Sciences Industry. "IBM's Enterprise Health Analytics solutions meet health systems' urgent need to convert this discrete data in ways that meet growing demands from employers, health benefits companies, consumers and governments to publicly report quality, clinical outcomes, cost of care and compliance to standards."

IBM's Enterprise Health Analytics solutions will help health systems report, trend and analyse key organisational, financial and clinical metrics; access information to manage and report the progression and impact of chronic diseases; predict high-risk populations and begin early interventions for wellness management; view and analyse aggregated, specific data sets by specific populations for cohort management, disease registries, clinical guidelines, and patient safety; and prepare for evidence-based medicine, leading to the practice of personalised medicine.

IBM's Enterprise Health Analytics transforms information through a simplified process that integrates and aggregates disparate data from multiple sources for practical use. Data is transformed through a Business Intelligence Reference Architecture that transforms disparate data, making it available in a timely manner for analysis that can solve specific clinical, business and research problems.