1,645 research outputs found
Methodologies of Legacy Clinical Decision Support System -A Review
Information technology playing a prominent role in the field of medical by incorporating the Clinical Decision Support System(CDSS) in their routine practices. CDSS is a computer based interactive program to assist the physician to make the right decision at the right time. Now a day's Clinical decision support system is a dynamic research area in the field of computer, but the lack of the knowledge of the understanding as well as the functioning of the system ,make the adoption slow by the physician and patient. The literature review of this paper will focus on the overview of legacy CDSS, the kind of methodologies and classifier employed to prepare such decision support system using a non-technical approach to the physician and the strategy- makers . This study will provide the scope of understanding the clinical decision support along with the gateway to physician ,policy-makers to develop and deploy the decision support system as a healthcare service to make the quick, agile and right decision. Future direction to handle the uncertainties along with the challenges of clinical decision support system are also enlightened in this study
Double Secret Protection: Bridging Federal and State Law To Protect Privacy Rights for Telemental and Mobile Health Users
Mental health care in the United States is plagued by stigma, cost, and access issues that prevent many people from seeking and continuing treatment for mental health conditions. Emergent technology, however, may offer a solution. Through telemental health, patients can connect with providers remotely—avoiding stigmatizing situations that can arise from traditional healthcare delivery, receiving more affordable care, and reaching providers across geographic boundaries. And with mobile health technology, people can use smart phone applications both to self-monitor their mental health and to communicate with their doctors. But people do not want to take advantage of telemental and mobile health unless their privacy is protected. After evaluating the applicability of current health information privacy law to these new forms of treatment, this Note proposes changes to the federal regime to protect privacy rights for telemental and mobile health users
Combining conceptual graphs and argumentation for aiding in the teleexpertise
Current medical information systems are too complex to be meaningfully exploited. Hence there is a need to develop new strategies for maximising the exploitation of medical data to the benefit of medical professionals. It is against this backdrop that we want to propose a tangible contribution by providing a tool which combines conceptual graphs and Dung׳s argumentation system in order to assist medical professionals in their decision making process. The proposed tool allows medical professionals to easily manipulate and visualise queries and answers for making decisions during the practice of teleexpertise. The knowledge modelling is made using an open application programming interface (API) called CoGui, which offers the means for building structured knowledge bases with the dedicated functionalities of graph-based reasoning via retrieved data from different institutions (hospitals, national security centre, and nursing homes). The tool that we have described in this study supports a formal traceable structure of the reasoning with acceptable arguments to elucidate some ethical problems that occur very often in the telemedicine domain
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Intelligent multimedia communication for enhanced medical e-collaboration in back pain treatment
This is the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2004 SAGE PublicationsRemote, multimedia-based, collaboration in back pain treatment is an option which only recently has come to the attention of clinicians and IT providers. The take-up of such applications will inevitably depend on their ability to produce an acceptable level of service over congested and unreliable public networks. However, although the problem of multimedia application-level performance is closely linked to both the user perspective of the experience as well as to the service provided by the underlying network, it is rarely studied from an integrated viewpoint. To alleviate this problem, we propose an intelligent mechanism that integrates user-related requirements with the more technical characterization of quality of service, obtaining a priority order of low-level quality of service parameters, which would ensure that user-centred quality of perception is maintained at an optimum level. We show how our framework is capable of suggesting appropriately tailored transmission protocols, by incorporating user requirements in the remote delivery of e-health solutions
Double Secret Protection: Bridging Federal and State Law To Protect Privacy Rights for Telemental and Mobile Health Users
Mental health care in the United States is plagued by stigma, cost, and access issues that prevent many people from seeking and continuing treatment for mental health conditions. Emergent technology, however, may offer a solution. Through telemental health, patients can connect with providers remotely—avoiding stigmatizing situations that can arise from traditional healthcare delivery, receiving more affordable care, and reaching providers across geographic boundaries. And with mobile health technology, people can use smart phone applications both to self-monitor their mental health and to communicate with their doctors. But people do not want to take advantage of telemental and mobile health unless their privacy is protected. After evaluating the applicability of current health information privacy law to these new forms of treatment, this Note proposes changes to the federal regime to protect privacy rights for telemental and mobile health users
Why are health care interventions delivered over the internet? : a systematic review of the published literature
Background: As Internet use grows, health interventions are increasingly being delivered online. Pioneering researchers are
using the networking potential of the Internet, and several of them have evaluated these interventions.
Objective: The objective was to review the reasons why health interventions have been delivered on the Internet and to reflect
on the work of the pioneers in this field in order to inform future research.
Methods: We conducted a qualitative systematic review of peer-reviewed evaluations of health interventions delivered to a
known client/patient group using networked features of the Internet. Papers were reviewed for the reasons given for using the
Internet, and these reasons were categorized.
Results: We included studies evaluating 28 interventions plus 9 interventions that were evaluated in pilot studies. The interventions
were aimed at a range of health conditions. Reasons for Internet delivery included low cost and resource implications due to the
nature of the technology; reducing cost and increasing convenience for users; reduction of health service costs; overcoming
isolation of users; the need for timely information; stigma reduction; and increased user and supplier control of the intervention.
A small number of studies gave the existence of Internet interventions as the only reason for undertaking an evaluation of this
mode of delivery.
Conclusions: One must remain alert for the unintended effects of Internet delivery of health interventions due to the potential
for reinforcing the problems that the intervention was designed to help. Internet delivery overcomes isolation of time, mobility,
and geography, but it may not be a substitute for face-to-face contact. Future evaluations need to incorporate the evaluation of
cost, not only to the health service but also to users and their social networks. When researchers report the outcomes of
Internet-delivered health care interventions, it is important that they clearly state why they chose to use the Internet, preferably
backing up their decision with theoretical models and exploratory work. Evaluation of the effectiveness of a health care intervention
delivered by the Internet needs to include comparison with more traditional modes of delivery to answer the following question:
What are the added benefits or disadvantages of Internet use that are particular to this mode of delivery
Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges
Chronic diseases are becoming more widespread. Treatment and monitoring of these diseases require going to hospitals frequently, which increases the burdens of hospitals and patients. Presently, advancements in wearable sensors and communication protocol contribute to enriching the healthcare system in a way that will reshape healthcare services shortly. Remote patient monitoring (RPM) is the foremost of these advancements. RPM systems are based on the collection of patient vital signs extracted using invasive and noninvasive techniques, then sending them in real-time to physicians. These data may help physicians in taking the right decision at the right time. The main objective of this paper is to outline research directions on remote patient monitoring, explain the role of AI in building RPM systems, make an overview of the state of the art of RPM, its advantages, its challenges, and its probable future directions. For studying the literature, five databases have been chosen (i.e., science direct, IEEE-Explore, Springer, PubMed, and science.gov). We followed the (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) PRISMA, which is a standard methodology for systematic reviews and meta-analyses. A total of 56 articles are reviewed based on the combination of a set of selected search terms including RPM, data mining, clinical decision support system, electronic health record, cloud computing, internet of things, and wireless body area network. The result of this study approved the effectiveness of RPM in improving healthcare delivery, increase diagnosis speed, and reduce costs. To this end, we also present the chronic disease monitoring system as a case study to provide enhanced solutions for RPMsThis research work was partially supported by the Sejong University Research Faculty Program (20212023)S
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