DeepAI AI Chat
Log In Sign Up

Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden

02/01/2020
by   Scott McLachlan, et al.
0

Several countries are currently investigating issues of neglect, poor quality care and abuse in the aged care sector. In most cases it is the State who license and monitor aged care providers, which frequently introduces a serious conflict of interest because the State also operate many of the facilities where our most vulnerable peoples are cared for. Where issues are raised with the standard of care being provided, the State are seen by many as a deep-pockets defendant and become the target of high-value lawsuits. This paper draws on cases and circumstances from one jurisdiction based on the English legal tradition, Australia, and proposes a Bayesian solution capable of determining probability for success for citizen plaintiffs who bring negligence claims against a public authority defendant. Use of a Bayesian network trained on case audit data shows that even when the plaintiff case meets all requirements for a successful negligence litigation, success is not often assured. Only in around one-fifth of these cases does the plaintiff succeed against a public authority as defendant.

READ FULL TEXT
03/13/2023

Bandit-supported care planning for older people with complex health and care needs

Long-term care service for old people is in great demand in most of the ...
10/03/2022

Unpacking Cultural Perceptions of Future Elder Care through Design Fiction

We present a case using Design Fiction to unpack cultural perceptions of...
11/20/2017

Subgroup Identification and Interpretation with Bayesian Nonparametric Models in Health Care Claims Data

Inpatient care is a large share of total health care spending, making an...
05/06/2021

Targeted Quality Measurement of Health Care Providers

Motivated by the problem of measuring the quality of cancer care deliver...
10/26/2022

The Global Care Ecosystems of 3D Printed Assistive Devices

The popularity of 3D printed assistive technology has led to the emergen...
07/07/2020

Data-driven Risk Management for Requirements Engineering: An Automated Approach based on Bayesian Networks

Requirements Engineering (RE) is a means to reduce the risk of deliverin...