AI for Dementia
(2019) NEKH02 20182Department of Economics
- Abstract
- The current healthcare system in Sweden suffers from major problems when it comes cost-efficiency and delivery of healthcare services. Unsustainable increase in healthcare cost over the past few decades has led to that Government funding is no longer keeping pace with increasing demand and complexity. There a several ways to address this issue, one is to implement a new healthcare delivery model where healthcare providers better utilize rapidly growing information streams to work with disease prevention supported by advanced technologies such as artificial intelligence to provide more cost-efficient healthcare services. Previous research has explored the possibility of applying artificial intelligence as a tool for clinical decision-making... (More)
- The current healthcare system in Sweden suffers from major problems when it comes cost-efficiency and delivery of healthcare services. Unsustainable increase in healthcare cost over the past few decades has led to that Government funding is no longer keeping pace with increasing demand and complexity. There a several ways to address this issue, one is to implement a new healthcare delivery model where healthcare providers better utilize rapidly growing information streams to work with disease prevention supported by advanced technologies such as artificial intelligence to provide more cost-efficient healthcare services. Previous research has explored the possibility of applying artificial intelligence as a tool for clinical decision-making and initial studies and applications deployed has shown promising results in supporting early detection and treatment of different diseases. Since artificial intelligence in healthcare is a relatively new phenomenon and has not been implemented in any wider clinical perspective, research concerning the economic implications is quite scarce, especially results for specific countries and diseases. Hence, the novelty and relevance of the topic makes it interesting for further research.
The purpose of this essay is to examine how the socioeconomic burden of dementia in Sweden could be affected by an implementation of artificial intelligence in the diagnostic process of the disease. Furthermore, this research aims to examine the potential efficiency gains that an implementation would provide.
By considering previous research on the potential economic effects of implementing artificial intelligence as a tool for clinical decision making for various diseases, this research provides estimations of the effects that it may have on the socioeconomic burden of dementia in Sweden.
The finding from this research showed that an implementation of AI-techniques has good potential to decrease the future socioeconomic burden of dementia in Sweden, as well as the potential to increase the quality of life for those affected and their families. An implementation of these techniques can make the diagnostic process of dementia patient more effective and serve as a helpful tool to assist clinicians in their clinical decision making. However, for this to be realized, major initial investments have to made in order to create an environment were AI-technologies can flourish. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8969279
- author
- Håvik, Jacob LU
- supervisor
- organization
- course
- NEKH02 20182
- year
- 2019
- type
- M2 - Bachelor Degree
- subject
- keywords
- Artifical intelligence, Dementia, Cost-effectiveness, Healthcare.
- language
- English
- id
- 8969279
- date added to LUP
- 2019-02-15 14:53:41
- date last changed
- 2019-02-15 14:53:41
@misc{8969279,
abstract = {{The current healthcare system in Sweden suffers from major problems when it comes cost-efficiency and delivery of healthcare services. Unsustainable increase in healthcare cost over the past few decades has led to that Government funding is no longer keeping pace with increasing demand and complexity. There a several ways to address this issue, one is to implement a new healthcare delivery model where healthcare providers better utilize rapidly growing information streams to work with disease prevention supported by advanced technologies such as artificial intelligence to provide more cost-efficient healthcare services. Previous research has explored the possibility of applying artificial intelligence as a tool for clinical decision-making and initial studies and applications deployed has shown promising results in supporting early detection and treatment of different diseases. Since artificial intelligence in healthcare is a relatively new phenomenon and has not been implemented in any wider clinical perspective, research concerning the economic implications is quite scarce, especially results for specific countries and diseases. Hence, the novelty and relevance of the topic makes it interesting for further research.
The purpose of this essay is to examine how the socioeconomic burden of dementia in Sweden could be affected by an implementation of artificial intelligence in the diagnostic process of the disease. Furthermore, this research aims to examine the potential efficiency gains that an implementation would provide.
By considering previous research on the potential economic effects of implementing artificial intelligence as a tool for clinical decision making for various diseases, this research provides estimations of the effects that it may have on the socioeconomic burden of dementia in Sweden.
The finding from this research showed that an implementation of AI-techniques has good potential to decrease the future socioeconomic burden of dementia in Sweden, as well as the potential to increase the quality of life for those affected and their families. An implementation of these techniques can make the diagnostic process of dementia patient more effective and serve as a helpful tool to assist clinicians in their clinical decision making. However, for this to be realized, major initial investments have to made in order to create an environment were AI-technologies can flourish.}},
author = {{Håvik, Jacob}},
language = {{eng}},
note = {{Student Paper}},
title = {{AI for Dementia}},
year = {{2019}},
}