Proceedings of the first ACM workshop on Security and privacy in medical and home-care systems - SPIMACS '09

2009 ◽  
Keyword(s):  
Home Care ◽  
Security And Privacy ◽  
Care Systems

Intelligent Agent Framework for Secure Patient-Doctor Profiling and Profile Matching

2011 ◽  
pp. 195-213
Author(s):  
Masoud Mohammadian ◽  
Ric Jentzsch
Keyword(s):  
Health Care ◽  
Radio Frequency ◽  
Data Acquisition ◽  
Radio Frequency Identification ◽  
Intelligent Agent ◽  
Patient Data ◽  
Security And Privacy ◽  
Profile Matching ◽  
Care Systems ◽  
Frequency Identification

Radio frequency identification (RFID) is a promising technology for improving services and reduction of cost in health care. Accurate almost real time data acquisition and analysis of patient data and the ability to update such a data is a way to improve patients care and reduce cost in health care systems. This article employs wireless radio frequency identification technology to acquire patient data and integrates wireless technology for fast data acquisition and transmission, while maintaining the security and privacy issues. An intelligent agent framework is proposed to assist in managing patients health care data in a hospital environment. A data classification method based on fuzzy logic is proposed and developed to improve the data security and privacy of data collected and propagated.

Potentiality made workable – exploring logics of care in reablement for older people

2018 ◽  
Vol 39 (9) ◽  
pp. 2018-2041 ◽  
Author(s):  
MALENE NØRSKOV BØDKER
Keyword(s):  
Home Care ◽  
Older People ◽  
Elder Care ◽  
Health Care Systems ◽  
Moral Standards ◽  
Inclusive Approach ◽  
The Face ◽  
Care Systems ◽  
Abstract Notion ◽  
Training Programmes

ABSTRACTIn the face of population ageing, Western health-care systems are currently demonstrating an immense interest in mobilising older people's potentials. With this agenda in mind, several countries have introduced reablement: a type of home care aimed at mobilising older people's potentials for independence by means of short-term training programmes. Based on extensive ethnographic fieldwork conducted in Denmark's home care sector, this paper explores how elder-care professionals translate the abstract notion of ‘potentiality’ into practice. Theoretically, the paper draws on Annemarie Mol's term ‘logic of care’. I demonstrate that professionals draw on two co-existing logics of care: a logic of reablement encapsulating ideals of successful ageing and life-long development; and a logic of retirement, which in contrast allows people at the end of life to retreat and engage in enjoyable activities. Professionals manage to balance these logics in order to live up to policy obligations while at the same time complying with moral standards of good care. However, very little is achieved in terms of increased independence. I argue that by narrowly focusing on bodily and quantifiable potentials, the ‘potentiality paradigm’ holds the risk of deeming older people to lack potential. In conclusion, I therefore encourage a more inclusive approach to elder-care and ageing that recognises the complexities of ageing, including older people's potentials for retreat and leisure.

The national out-of-home care data collection: Where to from here?

2003 ◽  
Vol 28 (2) ◽  
pp. 45-47 ◽  
Author(s):  
Helen Johnstone
Keyword(s):  
Data Collection ◽  
Home Care ◽  
Child Protection ◽  
Current Data ◽  
National Data ◽  
Out Of Home Care ◽  
Australian Institute ◽  
Collection Process ◽  
Data Collection Process ◽  
Care Systems

This paper outlines the parameters of the national out-of-home care data collection managed by the Australian Institute of Health and Welfare. The paper discusses the need for national data, what is included in the national data collection and the current data collection process. In addition possible developments to the national collection are outlined, in particular the proposal to collect the data electronically in unit record format. The benefits of this would include greater flexibility of the data and the ability to analyse how children move through the child protection and out-of-home care systems.

Intelligent Agent Framework for Secure Patient-Doctor Profiling and Profile Matching

2010 ◽  
pp. 782-801
Author(s):  
Masoud Mohammadian ◽  
Ric Jentzsch
Keyword(s):  
Health Care ◽  
Radio Frequency ◽  
Data Acquisition ◽  
Radio Frequency Identification ◽  
Intelligent Agent ◽  
Patient Data ◽  
Security And Privacy ◽  
Profile Matching ◽  
Care Systems ◽  
Frequency Identification

Radio frequency identification (RFID) is a promising technology for improving services and reduction of cost in health care. Accurate almost real time data acquisition and analysis of patient data and the ability to update such a data is a way to improve patient’s care and reduce cost in health care systems. This article employs wireless radio frequency identification technology to acquire patient data and integrates wireless technology for fast data acquisition and transmission, while maintaining the security and privacy issues. An intelligent agent framework is proposed to assist in managing patients’ health care data in a hospital environment. A data classification method based on fuzzy logic is proposed and developed to improve the data security and privacy of data collected and propagated.

Collaborative Environments for the Health Monitoring of Chronically Ill Children

2011 ◽  
pp. 246-254 ◽  
Author(s):  
G. Caniatsas ◽  
K. Starida ◽  
Dimitrios I. Fotiadis
Keyword(s):  
Home Care ◽  
Information Technologies ◽  
Medical Information ◽  
Health Management ◽  
Healthcare Delivery ◽  
Information Provision ◽  
Healthcare Services ◽  
Management Tools ◽  
Asynchronous Collaboration ◽  
Care Systems

A revolution is taking place in the healthcare field with information technology (IT) playing an increasingly important role in its delivery. Healthcare providers are exploring IT opportunities in reducing the overall costs of healthcare delivery while improving the quality of its provision to citizens. Healthcare services have accumulated great benefits from the application of information technologies, telecommunications and management tools. Internet, wireless, and handheld technologies have the capability to affect healthcare by improving quality, efficiency, and cost-effectiveness of work. Healthcare information systems include a wide range of applications ranging from diagnostic tools to health management applications and from inpatient to outpatient monitoring services. Home-care systems address patients and their families and provide the means to manage their health status related to a specific health problem. Home-care systems include a wide variety of offered services such as: (a) directory services (hospital location, doctor specialties), (b) computer patient records (CPR) along with interfaces for interoperability, (c) certified medical information provision, (d) interfacing to specialized medical monitoring devices, and (e) synchronous and asynchronous collaboration services. All these services are offered, most of the time, through secure and seamless networks.

Home Care Systems for the Management of Patients With Mental Disorders

2019 ◽  
pp. 72-101
Author(s):  
Maria Haritou ◽  
Dimitris Koutsouris
Keyword(s):  
Home Care ◽  
Service Oriented Architecture ◽  
Cognitive Stimulation ◽  
Detection Mechanism ◽  
Home Based ◽  
Support Tools ◽  
Care Systems ◽  
Service Oriented ◽  
Informal Carers ◽  
Reliable Solution

This chapter provides an overview of the various aspects involved in the development of a home care system for the management of dementia, based on the experience of ALADDIN implementation. The ALADDIN platform aims to provide a trustworthy and reliable solution supporting patients and their informal carers in the management of the disease from home. Based on a set of monitoring parameters and measuring scales feeding a reconfigurable Event Detection mechanism used for Risk Assessment and Analysis, the system aims to early detect symptoms predicting decline, avoid emergencies and secondary effects and thus prolong the period that patients can remain safely cared at home. Informal carers are also monitored by the system whereas additional features supporting networking, education and cognitive stimulation are also integrated along with decision support tools for the clinicians. It is an open, secure, interoperable, integrated IT-solution designed according to Service Oriented Architecture principles and credible methodologies for patient follow-up, risk detection and adaptive care.

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