HealthcareMetadata

Monitoring and Metrics

Automatic Software Patching

Automated Backups

When considering implementing Operational BI solutions, many implementers first think of copying the operational data to an operational data store (ODS), data warehouse or data mart and analysing it there.  They are immediately faced with the problem of how to update the informational environment fast enough to satisfy the timeliness requirement of the users.  As that approaches real-time, traditional ETL tools begin to struggle.  Furthermore, in the case of the data warehouse, the question arises of the level of consistency among these real-time updates and between the updates and the existing content.  The way MongoDB is used points immediately to an alternative, viable approach--go directly against the operational data.

In the case of Operational BI, however, most experience indicates that the queries are usually relatively simple, and closely related to the primary access paths used operationally for the data concerned.

Unleash Targeted Insights through Advanced Analytics As hospitals and health systems continue to improve the patient experience, it can be more challenging to identify specific initiatives to drive improvement. Press Ganey’s advanced analytics help health care leaders spark new initiatives by viewing opportunities through a new lens. Sophisticated techniques, such as segmentation, text analysis, multi-dimensional modeling and cluster analysis, evaluate multiple dimensions to uncover relationships, patterns and new insights to reveal targeted opportunities to improve

The Press Ganey Improvement Portal (patent pending) provides organizations with insights into the voice of their patients across the continuum of care through easy-to-use online dashboards and reports.

Set targets and view comparative performance based on Press Ganey's proprietary database – the largest real-time HCAHPS and patient satisfaction database in the industry.

The challenge is to identify individuals for whom intervention can make a difference and find intervention opportunities at the right time: before adverse health outcomes escalate medical costs.

Maximizing Care Management Savings through Advanced Total Population Targeting

PREDICTIVE MODELING FOR ACCURATE POPULATION TARGETING • Advanced Methodology, Focused Models) • Targeted Interventions) • Testing and Validation)

guess the probability of an outcome given a set amount of input data

Population health management (PHM)

racle SQL Developer Data Modeler provides a model driven approach for database design and generation, implemented by integrated set of models – Logical, Data types, Dimensional, Relational, Data Flow diagrams and Physical models for supported Oracle Databases, Microsoft SQL Server 2000 and 2005

Cube Views metadata

Dimensional Models   Dedicated full featured Dimensional model – star and snowflake schema easily can be built and expressed on detailed and compact diagrams   Dimensions – support for merging (level can belongs to more than one dimension), shared, fact and role playing dimensions   Hierarchies – value based hierarchies (parent-child), and regular and ragged level based hierarchies   Measures – fully, semi and none additive; different aggregation functions on different dimensions ; fact dimension; calculated measures   Query wizard allows Select statements to be generated from the dimensional model   Support for Oracle OLAP. This includes specifics like cube partitioning, sparse dimensions, and compressed measures   Built-in wizards help to define all required object types and view definitions that enable SQL access to dimensional data in Oracle AW (using the OLAP_TABLE interface)   Bidirectional integration with Oracle physical model - Dimensional model can be created using SQL dimension definitions in physical model or the definitions can be created from the dimensional model

Hyperion adds complementary products to Oracle's business intelligence offerings including a leading enterprise planning solution, world-class financial close and reporting products, and a powerful multi-source OLAP server

Effectively managing data means focusing on operational capture, decision support-oriented consumption, and data governance.

Cameo Data Modeler plugin provides data-related modeling for MagicDraw. It includes entity-relationship, database and XML schema modeling features.