A decision tree–based classifier for E-visit service provision
Journal
Informatics for Health and Social Care
Journal Volume
45
Date Issued
2020
Author(s)
Abstract
This study proposes a decision tree-based e-visit classification approach (DTEVCA) to determine clinic visits qualified as e-visits using clinics’ medical records and patients’ demographic data. This study assumes that health care insurance will subsidise e-visit service costs, in which case, identifying patients who benefit most from e-visit service is essential. Using a large data set from Taiwan’s National Health Insurance, this study verifies the efficiency and validity of the DTEVCA. Results indicate that this approach can accurately classify in-office clinic visits that could switch to e-visit services. The straightforward rules of this decision tree also give insurance agencies a clear guideline to understand the circumstances of using e-visits and predict the effects of implementing e-visits in Taiwan. Result of this study can help countries improve the policy formulation process for physicians’ use, or for academic research. The DTEVCA can update classification rules using new data to correct biases and ensure the stability of the e-visit system. In addition, the concept of this approach is feasible not only for e-visit service but also for other ‘new services’ such as new products or new policies. ? 2019 Taylor & Francis Group, LLC.
Subjects
data classification; data mining; decision tree; E-visit; health care insurance; healthcare analytics
Other Subjects
adult; article; classifier; data mining; decision tree; demography; human; medical record; national health insurance; practice guideline; Taiwan; validity; adolescent; aged; ambulatory care; decision support system; factual database; female; health insurance; male; middle aged; telemedicine; young adult; Adolescent; Adult; Aged; Ambulatory Care; Databases, Factual; Decision Making, Computer-Assisted; Decision Trees; Female; Humans; Insurance, Health; Male; Middle Aged; Taiwan; Telemedicine; Young Adult
Publisher
Taylor and Francis Ltd
Type
journal article