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Competition in the healthcare IT space is revving up. Oracle is facing heat as more tier-1 players pile in and domain-specific vendors improve their offerings. So we listened with interest as two contrasting customers at OpenWorld 2015, the Brazilian Ministry of Health (MoH) and a midsized US integrated provider, highlighted the same factors as deal-breakers in their selection of Oracle for major data projects. Product differentiation centered in particular on integration and scale capabilities, standards friendliness, and portfolio breadth and depth. This aligns with Oracle's wider positioning of its "engineered" secure cloud strategy. Customer support manifests itself in different ways: from strong partner relationships to user groups. A historical weak spot for Oracle is cost, but this is changing as Oracle adopts a more modular approach to product sales combined with cloud.

Oracle solutions and support underpin high-stakes patient information engine in Brazilian MoH and enterprise analytics in Los Angeles County's DHS

Brazil tackled its fragmented and error-ridden patient identification process by rolling out a new master patient index (MPI) system as a precursor to a string of e-health developments, including national immunization registries and a national EHR (electronic health record) program. It chose Oracle Healthcare Master Person Index for this deployment and went live in February 2015 with the world's largest MPI implementation. To give an idea of scale: the system holds over 300 million records and processes 76 million transactions per month. CDS, the Ministry of Health's services provider representing the project owner DataSUS, cited Oracle's strong support for standards, algorithm sophistication, and interoperability capabilities as key differentiators.

Oracle also played a key role in the transition to a new information infrastructure for Los Angeles County's Department of Health Services (DHS). The DHS's enterprise patient data repository (EPDR) project is one strand, and standardizing on Cerner EMR (electronic medical record) system is another. While DHS emphasizes just how much this is about a cultural change that heavily depends on staff engagement, it also points to the criticality of a strong technology foundation as analytics ramps up. Standout factors that resulted in the selection of Oracle were the Oracle Healthcare Data Warehouse Foundation and Oracle Healthcare Analytics Data Integration products, and a robust product roadmap that incorporates feedback from customers.


Further reading

Right-Sizing Analytics in Healthcare: Success Factors and Lessons, IT0011-000369 (August 2015)

Right-Sizing Analytics in Healthcare: Market Context and Maturity, IT0011-000370 (August 2015)

Impactful analytics: MD Anderson Cancer Center’s drive for better insights, IT0011-000364 (July 2015)

Enterprise Case Study: Democratizing Insights in the NHS, IT0011-000376 (September 2015)

The Case for Making Analytics a First-Class Citizen in Healthcare, IT0011-000339 (January 2015)

A Practitioner's Guide to Self-Service BI and Analytics, IT0014-002967 (December 2014)

"Making analytics a first-class healthcare citizen: lessons from Oracle customers," IT0011-000335 (November 2014)


Charlotte Davies, Lead Analyst, Health Technology

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