The need to improve quality
in healthcare delivery is increasing more than ever. Hospitals, clinicians and
insurance providers are determined to better define and measure quality of
health care delivery. A major factor in the evaluation of quality of health
care delivery is patient satisfaction. Furthermore, patient satisfaction is
critical to how well patients recover; research has identified a clear link
between patient outcomes and patient satisfaction scores.
The healthcare industry faces increasing
pressure to provide complete information to patients to help them make informed
decisions about their healthcare options. The evaluation of patient experience
and satisfaction has emerged as a key area of concern as patient outcomes and patient satisfaction
scores are linked to each other.
Leading healthcare organizations utilize a validated inpatient satisfaction questionnaire to estimate the heath care received by patients admitted to various hospitals. Having factored into distinct domains, this questionnaire creates a score for each to help in the analysis. It evaluates probable predictors of patient satisfaction regarding socio-demographic variables, survey logistics, and history of admissions.
Predictive analytics in healthcare
A healthcare predictive analytics
solution is a tool that can be used to predict HAIs and evaluate patient
satisfaction. Such evaluations of quality of healthcare delivery through
patient satisfaction surveys can be a performance indicator that gives a clear
picture to service providers. Predictive analytics solutions offer a one-stop solution that could be widely used in various ways
to simplify and enhance healthcare delivery.
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