A Hybrid Methodology for Dental Hospital Quality Performance Gap Using HOQ and Process Analysis

Abstract

A hybrid methodology is described to identify a quality gap in a dental hospital. The research case study illustrates how to implement quality improvement in a real-life context. A combination of an ethnographic, narrative, and phenomenological approach in data collection and observations within the dental hospital validates the case findings. A unique method based on systems study and Taguchi loss function is shown to reduce the service quality gap in a dental hospital. A house of quality (HOQ) combines the correlation between “patient's expectations” and the hospital's “technical” characteristics. The correlation between service quality and technical characteristics measures a patient's expectations gap. Factor analysis helps to group service and technical factors for better patient management. A strategy map correlation analysis is generated to manage the quality gap. The correlation analysis between patient expectations and the hospital's technical characteristics identify areas of immediate attention.

Utilitarian Ethical Triage Bayesian Decisions With Monetary Value During COVID-19 - A Bayesian Probability Analysis

“…A decision tree with expected monetary value (EMV) and triage risk factor sorting can generate decisions to minimize or maximize risk objectives. A Delphi approach (Azam et al, 2017;Ahmed, 2021) can first determine uncertainty with triage decision factors. To qualify the triage factors, we use the if-then risk assessment classification.…”