Healthcare Analytics
Analytics and Exploration.
Outcome Healthcare delivers a powerful, self-service data analytics environment that enables the healthcare organization to better collaborate, research, and innovate. When data is operationalized, teams surface meaningful insights that drive better patient outcomes, operational processes, and performance improvements across the entire healthcare continuum.
Using Google Big Query, run reports up to 50x faster than traditional data warehouses.
Our data model is well known and well documented, as the Data Warehouse data model is based on the FHIR schema. The data warehouse supports the SQL on FHIR standard which is designed for querying data from FHIR resources. This data model integrates with third-party tools via built in connections, supporting SQL, APIs, and FHIR standards. It facilitates direct access, reporting, and analytics with customizable dashboards and user-friendly interfaces for authorized users. Clients may choose to build reports and charts within the Outcome HIE Platform, as well as outside the platform, using their own tools.
Technology to analyze your clinical and operational data
FHIR Enabled Analytics Allows Healthcare Organizations to:
- View and modify a series of pre-defined reports to enhance efficiency and safety
- Create new analytical reports to surface insights and improve workflows
- Selectively share reports and calculations with other users to monitor business processes
- Analyze the clinical aspects of a healthcare organization to monitor outcomes, coordination, and CMS programs
Our system lets users query over petabytes of data with result sets in seconds to minutes, not hours. For those who have not used a highly scalable technology like this, you will find the speeds shocking. This means new reports can be both developed and ultimately run, in fractions of what a classic database would do.
DYNAMIC INTEGRATION
DYNAMIC INTEGRATION
Advanced administrative, clinical and health outcome analysis and reporting are available with Outcome Healthcare’s Analytics solution. Backed by Google BigQuery, standard format data such as FHIR or the OMOP Common Data Model are analysis ready.
PURPOSE-BUILT FOR HEALTHCARE
PURPOSE-BUILT FOR HEALTHCARE
Outcome Healthcare supports the conversion of data from HL7v2 to FHIR, to then be made accessible to Google BigQuery for deep analysis or processed by TensorFlow models via Cloud ML Engine.
POWERING WHAT WE DO
POWERING WHAT WE DO
Enable disparate teams and encourage collaboration across the enterprise, delivering access the data needed, when its needed, and in the user’s terms. Outcome Healthcare provides a UI that supports data analysis to find healthcare breakthroughs while keeping data secure.
ENABLING INNOVATION
ENABLING INNOVATION
Engage with all data elements using the latest Cloud technologies powered by Google BigQuery and Machine Learning, including clinical and non-clinical patient data, as well as structured and unstructured content. Analyses include easy-to-use filters, categories, events, search capabilities, and dashboards.
Self Service Population Health – Analysis and Insights
Outcome Healthcare’s Analytics solution provides rapid, intuitive, and highly performant access to clinical data for dynamic exploration, analysis, reporting, and actionable outcomes improvement. Moving through the rapid cycle of event-to-data-to-insight enables stakeholders to ask the right questions, discover insights, act on new understandings, measure performance, and share ideas through the network that improve patient health and outcomes.
Trusted with Health Data for Over 15 Years
The Outcome Healthcare Analytics solution provides a dynamic and flexible model to achieve views of operational performance and quality performance across stakeholders, driving engagement and value from data collected and creating a performance-driven culture. Outcome Healthcare facilitates and enables the secure, cross departmental and multi-center prospective, longitudinal analysis needed to improve population health, business performance, and stakeholder communication.
Define Custom Queries and Output to Charts and Tables
Manage and Reference Groups / Sets of Coded Concepts
