Solutions For Healthcare and Scientific Discoveries
For healthcare providers, payer organizations, life sciences companies, and research institutions everywhere, the volume of data only grows more massive each year, as does the expertise and cost to maintain it. This is why care delivery and scientific institutions find it difficult to leverage all of their data for care delivery, discoveries and decision analysis support. Additionally, the legacy systems they depend on are not designed to deliver cloud-based informatics registry solutions.
Gain a 360° view of your patients or research subjects so you can recognize the patterns that lead to meaningful and permanent breakthroughs.
Demands for an integrated, dynamic approach to data collection and analysis since the needs are constantly in flux. For too long, researchers at Academic Medical Centers, Clinical Translational Science Institutes (CTSIs), and national disease or specialty associations have been limited to custom-built clinical data registries that are extremely expensive to build, customize and maintain and still fail to meet researchers’ fundamental needs.
Embrace next-generation, new-technology solutions that provide insight into the clinical practices that affect cost and quality by offering a 360° view of your patients. Integrate data from disparate sources, harmonize data and use powerful data-visualization tools to identify trends in real-time. Recognize patterns in quality data—key drivers that will enable you to make timely adjustments that lead to improved quality outcomes. Identify the practice patterns and other factors that lead to higher quality outcomes—and ensure that those positive patterns are replicated throughout your delivery network to benefit payers, providers, and patients.
Quickly aggregate, map, integrate and analyze claims, cost, and clinical data from widely disparate information systems throughout and across organizations. Recognize patterns in claims data and track outcomes and quality measures in ways never before possible so you can make timely adjustments that reduce costs and increase the quality. Identify the practice patterns and other factors that lead to higher quality outcomes—and ensure that those positive patterns are replicated throughout your delivery network to benefit all stakeholders Empower your stakeholders to analyze and visualize a harmonized data set that provides a real-time, 360° view of patient data for research, quality improvement, or population health management purposes.
Gain a 360° view of your patients, including their epigenetic characteristics, so you can utilize predictive informatics to determine optimal interventions and improve the speed and efficacy of new drugs and devices. Utilize highly configurable next-generation software that integrates and harmonizes data from multiple sites and systems, and allows you to take advantage of flexible and powerful reporting and data-visualization tools. Collect and analyze a broad set of data from healthcare providers and patients to effectively detect, assess, and understand adverse events, and utilize patient registry software that enables cost-effective, high-quality observational studies for effective Pharma co-vigilance.
Research universities, academic laboratories, government-affiliated laboratories, independent research institutes (IRIs), and other researchers all have a need for an integrated research cloud platform that breaks down data silos across campuses and between different laboratory information management systems, electronic lab notebooks, biospecimen management systems, and scientific data management systems.
Providers in the modern era of healthcare are not only providing as-needed patient care, but also managing the ongoing care of an entire population. To do this, hospitals need to segment their populations, proactively assess their needs, identify gaps in the care delivery spectrum, and understand the risk of a patient needing care — in a cost-effective and efficient way. Robust analytics across multiple, often disparate, data sources can help, but many legacy data systems and infrastructure are not up to the task.
Enable cost-effective cross-organizational collaboration. Configure data collection tools and research workflows to researchers’ specific, evolving needs. Enable intelligent queries and visualization of research data to identify undiscovered patterns. Break out of your current innovation cycle by asking research questions faster—in