Data can be a
great asset to healthcare organizations, but they have to be
first transformed into information. Yet another factor motivating
the use of data mining applications in healthcare is the
realization that data mining can generate information that is
very useful to all parties involved in the healthcare industry.
For example, data mining applications can help healthcare
insurers detect fraud and abuse, and healthcare providers can
gain assistance in making decisions, for example, in customer
relationship management. Data mining applications also can
benefit healthcare providers, such as hospitals, clinics and
physicians, and patients, for example, by identifying effective
treatments and best practices [7,8] The Centers for Medicare
and Medicaid Services has used data mining to develop a prospective
payment system for inpatient rehabilitation [9] The
healthcare industry can benefit greatly from data mining applications.
This review is intended to explore relevant data
mining applications, understand methodologies involved and
their potentials in healthcare and pharmaceutical industry.
Data can be a
great asset to healthcare organizations, but they have to be
first transformed into information. Yet another factor motivating
the use of data mining applications in healthcare is the
realization that data mining can generate information that is
very useful to all parties involved in the healthcare industry.
For example, data mining applications can help healthcare
insurers detect fraud and abuse, and healthcare providers can
gain assistance in making decisions, for example, in customer
relationship management. Data mining applications also can
benefit healthcare providers, such as hospitals, clinics and
physicians, and patients, for example, by identifying effective
treatments and best practices [7,8] The Centers for Medicare
and Medicaid Services has used data mining to develop a prospective
payment system for inpatient rehabilitation [9] The
healthcare industry can benefit greatly from data mining applications.
This review is intended to explore relevant data
mining applications, understand methodologies involved and
their potentials in healthcare and pharmaceutical industry.
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