This is an 8 page paper that provides an overview of data mining. Speaker notes for a Power Point presentation are given. Bibliography lists 5 sources.
Name of Research Paper File: KW60_KFhcdata.doc
Unformatted Sample Text from the Research Paper:
procedures in order to inform organizational strategy. However, in order to conduct data mining, the organization first has to bring in data from a variety of sources. For instance, if
a health care organization wanted to mine data about infection trends in order to inform its own infection control policy, it might make use of outside research conducted on the
topic. Occasionally, data fed into data mining processes can come from within the organization, such as in the case of sociodemographic data collected by the organization. Slide Two
Outputs for Data - computer database - physical records keeping - patient records - physicians records/folder - transmission to printers and other devices The other side of the
information path utilized in data mining is the output; where does the data go after it has been taken into the organization? In a health care context, this might refer
to the organizational database, but it might also refer to any number of physical destinations. For example, data generated by a nurse checking a patient in might find its way
into the patient records, as well as into the physicians folder; it might also be sent in digital format to a printer or database. All paths of information must be
accounted for, so that these paths and destinations can be secured. Slide Three Uses of information Demographic data - documenting trends - marketing uses Organizational data - improving
processes - providing quality measures Different forms of information and data might be used depending upon context. For instance, in data mining operations related to studying trends within a
given population, demographic forms of data might be used in order to observe and substantiate those trends. For example, records of infection inside the hospital might be correlated with different