Health Care Provider Processes Analysis

Abstract

Abstract. In every society there is a need for an efficient health care system. This is a case study paper that summarizes process analysis performed at a US provider clinic. This paper provides an analysis of factors (arrival accuracy and no shows) influencing main processes within the clinic. The numerical relations between influencing factors and key processes are exhibited. Moreover, the abilities of a health care provider to deal with variations of arrival time are exhibited. The predicted probabilities for arrival accuracy and no shows are discussed. The paper provides an interesting statistical approach to analyze operations of a health care provider, which can be beneficial for stakeholders of the clinic.

A Data Mining Framework for the Analysis of Patient Arrivals into Healthcare Centers

“…We, on the contrary, accept that Lateness is very much dependent on the attributes of each patient, and focus on coming up with a predictive regression model for characterizing this dependency relation. • [14] predicts arrival time and no shows in outpatient clinics, as we do. However, [14] employs a very different set of independent variables than we do.…”

“…• [14] predicts arrival time and no shows in outpatient clinics, as we do. However, [14] employs a very different set of independent variables than we do. • [15] applies association mining to predict no-shows (patients not showing up at their appointments) and conduct set covering optimization to reduce the vast number of rules to a manageable size.…”

A Data Mining Framework for the Analysis of Patient Arrivals into Healthcare Centers

“…• [14] predicts arrival time and no shows in outpatient clinics, as we do. However, [14] employs a very different set of independent variables than we do.…”