Healthcare Business Intelligence, + Website: A Guide to by Laura B. Madsen

By Laura B. Madsen

"This publication might be built as a guidebook for healthcare companies which are trying BI/DW. it's going to deal with the first services of a company intelligence strength and the way BI can ease the expanding regulatory reporting pressures on all healthcare agencies. additionally incorporated can be tables, checklists and some varieties. Tenative bankruptcy contents: bankruptcy 1: what's Healthcare BI? bankruptcy 2: The Five Read more...

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sturdy company intelligence assistance uniquely designed for healthcare companies expanding regulatory pressures on healthcare agencies have created a countrywide dialog on data, Read more...

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Barua, 2011) Simply put, data of high quality in your data warehouse should be error-free (no identification numbers with letters in them), include salient data points (such as diagnosis code for billing), and provide the data within hours or days (not weeks or months) to allow your business users to make decisions. Data Quality Implications for Healthcare The importance of good data quality cannot be underestimated; in a recent study on the value of data quality to organizations, it was found that even a 10 percent increase in the quality of data was attributable to $2 billion in revenue annually for a Fortune 1000 organization (Barua, 2011).

Data warehouses are created to ensure a broader user-base. If you don’t intend on investing in data quality for a warehouse to provide a broader user-base with the data that they can use, then there’s no reason to create a warehouse—a team of analysts can work just fine. However, 19 Trim: 6in × 9in JWBT737-c02 JWBT737-Madsen Printer: Yet to Come June 12, 2012 14:16 Healthcare Business Intelligence keep in mind that data warehouse and BI programs are built for scalability and usage; a team of analysts is not.

Every vendor has a solution; every consultant offers a service that promises to address your data quality concerns. Bad data quality can impact everything that we strive for in business intelligence (BI). It can impact user adoption, perceived value, and the willingness of sponsors to support our efforts; it’s the one thing that can kill a BI program. Data quality is important. Just like seatbelts are important. In other words, you don’t necessarily have to invest in data quality (or wear a seatbelt) but there will likely come a day when you really wish you had and in that moment you will realize it’s too late.

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