By Laura B. Madsen
Information is taking on in a robust approach, and it is revolutionizing the healthcare undefined. you might have extra facts on hand than ever sooner than, and using the perfect analytics can spur progress. merits expand to sufferers, prone, and board contributors, and the expertise could make centralized sufferer administration a truth. regardless of the possibility of progress, many within the and executive are wondering the worth of information in well-being care, thinking about if it truly is well worth the funding. Data-Driven Healthcare: How Analytics and BI are remodeling the tackles the difficulty and proves why BI isn't just worthy it, yet helpful for development. Healthcare BI guru Laura Madsen demanding situations the proposal that information have little worth in healthcare, and indicates how BI can ease regulatory reporting pressures and streamline the whole procedure because it evolves. Madsen illustrates how a data-driven association is created, and the way it may possibly remodel the undefined.
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Additional info for Data-Driven Healthcare: How Analytics and BI are Transforming the Industry
That’s not my specialty. I do, however, specialize in helping healthcare organizations use their data for the betterment of themselves and ourselves. We have to find a way over these great walls of data, and we should start with our own organizations and by breaking down the walls. First, we have to reduce the silos in which our data sets exist. That includes the EHR and financial accounting systems that hold our data hostage. Regardless of the system and its role in your organization, you must find a way to get data out of proprietary data models and into highly integrated patient‐based data models.
Have we spent our time on the 80 percent only to get 20 percent of the results? During my interview with Donald Mon, I asked him what his perspective was on all the different standards that existed in healthcare data, from LOINC to SNOMED. There is a lack of understanding between LOINC and SNOMED; they are a vocabulary, nomenclatures or coding (such as ICD), classification (such as LOINC), they are complementary. The challenge has been every time that you adopt something like a coding or classification it takes a long time, it’s a big effort for healthcare organizations to develop them and then get them adopted.
That continues to be true, and the impact of investing in the wrong resources continues to be significant. A few months ago I spoke with a professional healthcare association that had spent two years and over a million dollars, and their chief financial officer admitted to me that they had very little to show for it. The one thing that really gets me upset over the current state of healthcare business intelligence is that the failure rate of data warehouses is unreasonably high because we insist on making mistakes that are costly, unnecessary, and often motivated by political positioning rather than what is truly good for the organization and the industry as a whole.
Data-Driven Healthcare: How Analytics and BI are Transforming the Industry by Laura B. Madsen