Mining, knowledge and decision support.

Research output: Contribution to journalArticle

Abstract

Decision support systems (DSS) are software entities that assist the physician in the decision making process. They have found application in medicine due to the large amounts of data (e.g. laboratory measurements such as blood pressure, heart rate, body-mass index) and information (e.g. patient history, population statistics based on age and sex) that must be considered before diagnosing any disease or recommending a therapy. A well known example is the embedded software in defibrillators which allows a 'shock' to be delivered, by analyzing the electrocardiogram for known conditions (heart attack). The shock can restart the heart and timely delivery can resuscitate the patient. As well as assisting in primary diagnosis, a DSS can reduce medical error, assist compliance with clinical guidelines, improve efficiency of care delivery and improve quality of care. Decision support still has significant acceptance issues in clinical routine, but can achieve more prominence, as systems are demonstrated to provide effective knowledge based support. Data mining is often used to provide some insight to a data set and update our accepted knowledge. In this section, we discuss a study which examines where electrocardiographic information should be recorded from a patient's torso in order to increase diagnostic yield.
LanguageEnglish
Pages429-41
JournalTechnology and Health Care
Volume18
Issue number6
Publication statusPublished - 2010

Fingerprint

Shock
Software
Medical Errors
Torso
Defibrillators
Data Mining
Quality of Health Care
Population Characteristics
Decision Making
Electrocardiography
Body Mass Index
Heart Rate
Myocardial Infarction
Medicine
Guidelines
Blood Pressure
Physicians
Therapeutics
Datasets

Cite this

@article{a9d91e0d18764e18aa7f27dc565888cb,
title = "Mining, knowledge and decision support.",
abstract = "Decision support systems (DSS) are software entities that assist the physician in the decision making process. They have found application in medicine due to the large amounts of data (e.g. laboratory measurements such as blood pressure, heart rate, body-mass index) and information (e.g. patient history, population statistics based on age and sex) that must be considered before diagnosing any disease or recommending a therapy. A well known example is the embedded software in defibrillators which allows a 'shock' to be delivered, by analyzing the electrocardiogram for known conditions (heart attack). The shock can restart the heart and timely delivery can resuscitate the patient. As well as assisting in primary diagnosis, a DSS can reduce medical error, assist compliance with clinical guidelines, improve efficiency of care delivery and improve quality of care. Decision support still has significant acceptance issues in clinical routine, but can achieve more prominence, as systems are demonstrated to provide effective knowledge based support. Data mining is often used to provide some insight to a data set and update our accepted knowledge. In this section, we discuss a study which examines where electrocardiographic information should be recorded from a patient's torso in order to increase diagnostic yield.",
author = "D Finlay and CD Nugent and Haiying Wang and Mark Donnelly and PJ McCullagh",
year = "2010",
language = "English",
volume = "18",
pages = "429--41",
journal = "Technology and Health Care",
issn = "0928-7329",
publisher = "IOS Press",
number = "6",

}

Mining, knowledge and decision support. / Finlay, D; Nugent, CD; Wang, Haiying; Donnelly, Mark; McCullagh, PJ.

In: Technology and Health Care, Vol. 18, No. 6, 2010, p. 429-41.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Mining, knowledge and decision support.

AU - Finlay, D

AU - Nugent, CD

AU - Wang, Haiying

AU - Donnelly, Mark

AU - McCullagh, PJ

PY - 2010

Y1 - 2010

N2 - Decision support systems (DSS) are software entities that assist the physician in the decision making process. They have found application in medicine due to the large amounts of data (e.g. laboratory measurements such as blood pressure, heart rate, body-mass index) and information (e.g. patient history, population statistics based on age and sex) that must be considered before diagnosing any disease or recommending a therapy. A well known example is the embedded software in defibrillators which allows a 'shock' to be delivered, by analyzing the electrocardiogram for known conditions (heart attack). The shock can restart the heart and timely delivery can resuscitate the patient. As well as assisting in primary diagnosis, a DSS can reduce medical error, assist compliance with clinical guidelines, improve efficiency of care delivery and improve quality of care. Decision support still has significant acceptance issues in clinical routine, but can achieve more prominence, as systems are demonstrated to provide effective knowledge based support. Data mining is often used to provide some insight to a data set and update our accepted knowledge. In this section, we discuss a study which examines where electrocardiographic information should be recorded from a patient's torso in order to increase diagnostic yield.

AB - Decision support systems (DSS) are software entities that assist the physician in the decision making process. They have found application in medicine due to the large amounts of data (e.g. laboratory measurements such as blood pressure, heart rate, body-mass index) and information (e.g. patient history, population statistics based on age and sex) that must be considered before diagnosing any disease or recommending a therapy. A well known example is the embedded software in defibrillators which allows a 'shock' to be delivered, by analyzing the electrocardiogram for known conditions (heart attack). The shock can restart the heart and timely delivery can resuscitate the patient. As well as assisting in primary diagnosis, a DSS can reduce medical error, assist compliance with clinical guidelines, improve efficiency of care delivery and improve quality of care. Decision support still has significant acceptance issues in clinical routine, but can achieve more prominence, as systems are demonstrated to provide effective knowledge based support. Data mining is often used to provide some insight to a data set and update our accepted knowledge. In this section, we discuss a study which examines where electrocardiographic information should be recorded from a patient's torso in order to increase diagnostic yield.

M3 - Article

VL - 18

SP - 429

EP - 441

JO - Technology and Health Care

T2 - Technology and Health Care

JF - Technology and Health Care

SN - 0928-7329

IS - 6

ER -