Download e-book for iPad: Big Data and Health Analytics by Katherine Marconi, Harold Lehmann

By Katherine Marconi, Harold Lehmann

ISBN-10: 1482229234

ISBN-13: 9781482229233

Data availability is surpassing present paradigms for governing, handling, reading, and analyzing well-being info. Big information and future health Analytics provides frameworks, use instances, and examples that illustrate the position of huge info and analytics in smooth well-being care, together with how public overall healthiness details can tell future health delivery.

Written for overall healthiness care execs and managers, this isn't a technical e-book at the use of information and machine-learning algorithms for extracting wisdom out of information, nor a e-book at the intricacies of database layout. as an alternative, this ebook offers the present contemplating educational and researchers and leaders from round the world.

Using non-technical language, this ebook is on the market to future health care execs who will possibly not have an IT and analytics heritage. It comprises case experiences that illustrate the company approaches underlying using titanic info and future health analytics to enhance wellbeing and fitness care delivery.

Highlighting classes realized from the case stories, the publication offers readers with the root required for extra really expert learn in healthiness analytics and information administration. assurance comprises neighborhood overall healthiness details, info visualization which deals interactive environments and analytic methods that help exploration of EHR facts, the governance constitution required to permit facts analytics and use, federal laws and the restrictions they position on analytics, and knowledge security.

Links to web pages, video clips, articles, and different on-line content material that extend and aid the first studying targets for every significant element of the publication also are incorporated that can assist you strengthen the talents it is important to in attaining caliber advancements in overall healthiness care supply throughout the powerful use of information and analytics.

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Example text

Prescriptive actions influence future outcomes and include patient flow management, accurate costing, and asset management. The logical utility is that it is better to influence results than to react to past events. Let us return to the previously mentioned case study. Health care is ­increasingly under pressure to control costs and improve quality. Industry internal initiatives such as the IOM reports, national policy exemplified by ACA, and market competitive forces demand greater insights into the forces that drive health care outcomes.

The sheer volume of existing facts is overwhelming. The goal is not to acquire more data but to identify relevant data. This can be done by identifying certain patterns within the available information. The first task is to aggregate the data. Extract, transform, and load (ETL) processes extract data from outside sources, transform it to fit operational needs, and load it into the end target (database, operational data store, or data warehouse) (Golfarelli and Rizzi, 2009). The range of target formats is broad, ranging from a single file on a laptop to sophisticated corporatewide repositories (Inmon, 2005).

An index on “Images” would include only the x-ray. Note that the use of the MPI resolves the ambiguities that are introduced by the two different forms of the patient name as well as the differences in the medical record numbers. Essentially, an index enables direct and rapid access to a set of documents with a given tag. Consider the possibility that all encounter notes that contain the words “diabetes mellitus” were indexed. Such an index would enable immediate access to and identification of all patients with diabetes.

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Big Data and Health Analytics by Katherine Marconi, Harold Lehmann


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