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APAT (Anaesthetic Pre-Operative Assessment Platform): NCI Final Year Project Report

O'Shea, John (2017) APAT (Anaesthetic Pre-Operative Assessment Platform): NCI Final Year Project Report. Undergraduate thesis, Dublin, National College of Ireland.

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The following document outlines the potential applications, scope, plan and requirements of the APAT (Anaesthetic Pre-Operative Assessment Platform), as well as prospective speculation as to how the project may be further developed.

It is estimated that over 97,000 patients undergo inpatient surgical care in the HSE every year. With recent advances in surgical practices, surgery is becoming both safer and increasingly available. However the practice of anaesthesia is often overlooked, despite the fact anaesthetists kill more patients in the operating theatre than surgeons.We undoubtedly live in an ageing population, meaning that the patients proposed for operative management typically have co-morbid medical conditions. While hypertension and a history of acute coronary syndrome have little influence on surgical practice, they greatly influence the management of the patient from an anaesthetic perspective. Increasingly, patients are having their elective surgery canceled on the day of surgery, as they had previously unidentified risk factors or predictors of patient mortality.

APAT aims to provide anaesthetists with a basic assessment and risk stratification of their patients prior to the day of surgery, allowing time for the medical optimisation of these patients in the pre operative period, making surgery and anaesthesia a safer process for all.

Two tertiary and one regional hospital have already expressed interest in this specific platform (Beaumont, Connolly and Naas General Hospital). Unidentified high risk patients incur huge costs for the HSE, such as cancelled operation slots, increased length of stay, and occupancy of intensive care and high dependency beds.

As of December 2016, there are no commercially available online pre operative assessment tools suitable for use in the HSE, despite the obvious demand for such.

Item Type: Thesis (Undergraduate)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
R Medicine > Healthcare Industry
Divisions: School of Computing > Bachelor of Science (Honours) in Computing
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 31 Oct 2017 15:34
Last Modified: 31 Oct 2017 15:36

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