We provide one accurate view of all relevant healthcare data. Our healthcare-specific data model includes payers, providers, patients, members, locations, plans, employees, and details about the relationships among them. Important healthcare data is captured with comprehensive, well-defined attributes to meet the most common needs of healthcare organizations. The flexible data model can be extended to suit unique clinical and business requirements. The baseline data model has the flexibility to include other types of attributes or healthcare master data.
This scalable and extensible data intelligent data framework, our Healthcare Solutions Platform is the foundation of our approach. We use it to embed persistent, unified up-to-date patient data from many sources that deliver trusted, secure searchable by your stakeholders based on their role in your organization.
Identify physiological decline to proactively rally resources prior to de-compensation or an unplanned transfer to a higher level of care. Identify patients at high risk of readmission at discharge and develop an optimal multidisciplinary post-discharge care plan. Project in-patient staffing needs to optimize resource utilization, improve productivity, and patient safety.
Increase revenue and margins while improving operational inefficiencies. Adapt to the financial impact of the growth in telemedicine. Use predictive models to monitor existing workflows, learn from workflows at scale, and quickly adapt to change. Proactively address incomplete tasks and identify inconsistent information then recommend or automate remediation.
Use predictive analytics to identify patients likely to skip an appointment without advanced notice to improve continuity of care, provider efficiency, cut down on revenue losses, and give organizations the opportunity to offer open slots to other waiting patients, thereby increasing speedy access to care.
