Modeling Technology Transfer in Health Information Systems: Learning From the Experience of Chad

1993 ◽  
Vol 9 (3) ◽  
pp. 346-359 ◽  
Author(s):  
Anne-Marie Foltz

AbstractHealth information systems are complex combinations of methods of organization and computer technologies. They are idiosyncratic to each country. Chad’s design of a national information system followed a process that can serve as a model for sustainable technology transfer—using consensual decision making and reinforcing administrative reforms while providing strong Ministry leadership and using technical assistance.

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I Szilárd

Abstract Background Experts of the high-level Consensus Conference (Pécs, 7-8 October 2019) agreed that there is a need for greater harmonisation and international cooperation on migrant health information systems. In order to facilitate the realization of this goal the formation of a multi-stakeholder scientific task force (TF) was proposed. Objectives The Consensus Conference Follow up Task-Force is an informal, voluntary scientific body, aiming to assist and facilitate the realization of the Statement of the Conference. More specifically: Calling the attention about the needfor reliable, migrants/migration related health, public health and occupational health data;for the harmonisation of the migrants/migration related health information systems;for the establishment of international cooperation;Design and work out unified definitions and technical guidance on taxonomy and methodologies of data collection;Facilitate and assist both individual researchers' and teams' endowers for the international harmonisation of target group variables and indicators in order to ensure comparability of data;Call the attention for and initiate the establishment of a European level migrant health database, and provide scientific and technical assistance for its realization. Results The WHO Collaborating Centre at the University of Pécs Medical School (UPMS) has offered to coordinate this initiative, worked out the Terms of Reference (ToR) of this new body and asked the leading international organizations and individual experts to participate in the work of this innovative endower. WHO, IOM, ECDC and the European Union Agency for Fundamental Rights has appointed delegates and twelve experts joint to the initiative. On 11 February an internet-based conference was organized where participants approved the ToR and with consensus Prof. Dr. Kayvan Bozorgmehr has been elected for president. UPMS runs its secretariat. The work plan of the TF will be presented during the conference.


1998 ◽  
Vol 37 (04/05) ◽  
pp. 518-526 ◽  
Author(s):  
D. Sauquet ◽  
M.-C. Jaulent ◽  
E. Zapletal ◽  
M. Lavril ◽  
P. Degoulet

AbstractRapid development of community health information networks raises the issue of semantic interoperability between distributed and heterogeneous systems. Indeed, operational health information systems originate from heterogeneous teams of independent developers and have to cooperate in order to exchange data and services. A good cooperation is based on a good understanding of the messages exchanged between the systems. The main issue of semantic interoperability is to ensure that the exchange is not only possible but also meaningful. The main objective of this paper is to analyze semantic interoperability from a software engineering point of view. It describes the principles for the design of a semantic mediator (SM) in the framework of a distributed object manager (DOM). The mediator is itself a component that should allow the exchange of messages independently of languages and platforms. The functional architecture of such a SM is detailed. These principles have been partly applied in the context of the HEllOS object-oriented software engineering environment. The resulting service components are presented with their current state of achievement.


1979 ◽  
Vol 18 (04) ◽  
pp. 214-222
Author(s):  
K. Sauter

The problems encountered in achieving data security within computer-supported information systems increased with the development of modern computer systems. The threats are manifold and have to be met by an appropriate set of hardware precautions, organizational procedures and software measures which are the topic of this paper. Design principles and software construction rules are treated first, since the security power of a system is considerably determined by its proper design. A number of software techniques presented may support security mechanisms ranging from user identification and authentication to access control, auditing and threat monitoring. Encryption is a powerful tool for protecting data during physical storage and transmission as well.Since an increasing number of health information systems with information-integrating functions are database-supported, the main issues and terms of database systems and their specific security aspects are summarized in the appendix.


Author(s):  
Muhammad Muaaz ◽  
Ali Chelli ◽  
Martin Wulf Gerdes ◽  
Matthias Pätzold

AbstractA human activity recognition (HAR) system acts as the backbone of many human-centric applications, such as active assisted living and in-home monitoring for elderly and physically impaired people. Although existing Wi-Fi-based human activity recognition methods report good results, their performance is affected by the changes in the ambient environment. In this work, we present Wi-Sense—a human activity recognition system that uses a convolutional neural network (CNN) to recognize human activities based on the environment-independent fingerprints extracted from the Wi-Fi channel state information (CSI). First, Wi-Sense captures the CSI by using a standard Wi-Fi network interface card. Wi-Sense applies the CSI ratio method to reduce the noise and the impact of the phase offset. In addition, it applies the principal component analysis to remove redundant information. This step not only reduces the data dimension but also removes the environmental impact. Thereafter, we compute the processed data spectrogram which reveals environment-independent time-variant micro-Doppler fingerprints of the performed activity. We use these spectrogram images to train a CNN. We evaluate our approach by using a human activity data set collected from nine volunteers in an indoor environment. Our results show that Wi-Sense can recognize these activities with an overall accuracy of 97.78%. To stress on the applicability of the proposed Wi-Sense system, we provide an overview of the standards involved in the health information systems and systematically describe how Wi-Sense HAR system can be integrated into the eHealth infrastructure.


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