Publications by authors named "Robert Giannini"

Patient safety sitters play a crucial role in observing patients at risk for self-harm or harm to others. This article explores the impact of staffing shortages on patient safety sitters, discussing a review of 163 patient safety events. The findings underscore the need for adequate staffing levels and propose solutions, including alternative measures like tele-sitters and increased family involvement, to mitigate the challenges posed by these shortages and improve overall patient safety and care quality.

View Article and Find Full Text PDF

Background: Patient safety event reports provide valuable insight into systemic safety issues but deriving insights from these reports requires computational tools to efficiently parse through large volumes of qualitative data. Natural language processing (NLP) combined with predictive learning provides an automated approach to evaluating these data and supporting the work of patient safety analysts.

Objectives: The objective of this study was to use NLP and machine learning techniques to develop a generalizable, scalable, and reliable approach to classifying event reports for the purpose of driving improvements in the safety and quality of patient care.

View Article and Find Full Text PDF

This article describes the design, development, and testing of the Health Care Safety Hotline, a prototype consumer reporting system for patient safety events. The prototype was designed and developed with ongoing review by a technical expert panel and feedback obtained during a public comment period. Two health care delivery organizations in one metropolitan area collaborated with the researchers to demonstrate and evaluate the system.

View Article and Find Full Text PDF

Objective: No methodologically robust system exists for capturing consumer-generated patient safety reports. To address this challenge, we developed and pilot-tested a prototype consumer reporting system for patient safety, the Health Care Safety Hotline.

Design: Mixed methods evaluation.

View Article and Find Full Text PDF