Business intelligence platform.

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Business intelligence platform.

Business intelligence platform.
Business intelligence platform.

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As with the other information systems discussed in this chapter, BI systems may be part of an enterprise system, provided as component software, or employed at application level. Most of the major healthcare information system vendors have BI software imbedded in their products. For example, McKesson has Enterprise Intelligence; Cerner has Knowledge Solutions; and Allscripts has EPSi Integrated Performance Management.

KLAS lists the following vendors in this category of software, but they are not part of an enterprise healthcare information system. Instead, they provide BI solutions intended to support analytics in conjunction with enterprise software or they provide analytics for a segment of the healthcare marketplace.

• Dimensional Insight (www.dimins.com) provides a BI platform specific to healthcare called HealthcareAware BI (www.dimins.com/healthcare-analytics/) and targeted solutions for physician and surgical management, Meaningful Use, and general ledger cost analysis.

• IBM Cognos (www-01.ibm.com/software/analytics/cognos/) offers a tailored line of analytic solutions, with Cognos Analytics providing large-scale capabilities and Cognos Express targeting midsize companies and work groups.

• Information Builders WebFOCUS Business Intelligence and Analytics Platform (www.informationbuilders.com/products/intelligence) advertises capabilities similar to Dimensional Insight and IBM Cognos.

• Greenway Health (www.greenwayhealth.com/solution/analytics-data-insight/) offers analytic solutions for improving the management of ambulatory practices.

Given the cost, time, and complexity of the large-scale implementation of enterprise BI, application-level BI should be employed strategically to address “key processes, functions, or service lines.”42, p. 95Application-level BI software provides some of the data integration and visualization of enterprise packages, analyzes existing data that may be overlooked in traditional reporting, and creates actionable knowledge. However, some caution is necessary. Glaser and Stone note that ad hoc, smaller-scale analysis may lead to the creation of data silos, inefficient or repetitive management of data, and unnecessary duplication.39 These are appropriate cautions, but application-level BI can complement the development of enterprise BI by producing results in the interim as the enterprise capabilities are developed.42