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Applying the object paradigm to a centralized database for a cardiology division.

In order to master the overwhelming quantity of data produced by the different laboratories of our Cardiology Division, we are presently developing a centralized database. Our aim is to improve the quality of diagnoses and therapies by constituting patient centered medical files integrating logically the results of the results of the different examinations and allowing for a rapid access to the patient data. The database has to be accessible from an heterogeneous set of PC, MacIntoshes and UNIX workstations. It must have an ergonomic graphic user interface and generate reports which can be sent to the patient physician. It is well known that the requirements for a medical database make its conceptual analysis very difficult. As medical knowledge continually evolves, the examination protocols change and, therefore, the data sets have to be updated. The maintenance of classical databases is usually expensive because it requires specialized staff to alter the database structure and to adapt the user interface. To allow for flexibility, modularity, code reusability and reliability, the object paradigm was applied to a classical relational database. Thanks to the combination of both data structure and behavior in single entities, it is possible to build generic user interfaces which can be easily tailored to the needs of every laboratory of our Cardiology Division.

Cardiology↗

Evolutionary neural networks for anomaly detection based on the behavior of a program.

The process of learning the behavior of a given program by using machine-learning techniques (based on system-call audit data) is effective to detect intrusions. Rule learning, neural networks, statistics, and hidden Markov models (HMMs) are some of the kinds of representative methods for intrusion detection. Among them, neural networks are known for good performance in learning system-call sequences. In order to apply this knowledge to real-world problems successfully, it is important to determine the structures and weights of these call sequences. However, finding the appropriate structures requires very long time periods because there are no suitable analytical solutions. In this paper, a novel intrusion-detection technique based on evolutionary neural networks (ENNs) is proposed. One advantage of using ENNs is that it takes less time to obtain superior neural networks than when using conventional approaches. This is because they discover the structures and weights of the neural networks simultaneously. Experimental results with the 1999 Defense Advanced Research Projects Agency (DARPA) Intrusion Detection Evaluation (IDEVAL) data confirm that ENNs are promising tools for intrusion detection.

Algorithms↗

Design of CSCW applications for medical teleconsultation and remote diagnosis support.

Recent advances in telecommunication technology have permitted the implementation of tools for Computer Supported Cooperative Work (CSCW) based on real time transmission of different information types between two or more stations. The present paper describes methods for the design of both synchronous and asynchronous CSCW procedures suitable for the medical application area and specifically for the purpose of medical consultation and more generally, remote diagnosis support. The experimental implementation of such a CSCW system built upon a Personal Computer/Windows platform is detailed as an example of such a low-cost system suitable for adoption in a wide-range of medical teleconsultation applications.

Algorithms↗

E-mail security.

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Algorithms↗

PCASSO: a secure architecture for access to clinical data via the Internet.

Patient Centered Access to Secure Systems Online (PCASSO) is a National Information Infrastructure research project funded by the US National Library of Medicine (NLM). PCASSO is specifically designed to address the problem of enabling secure access to health information over the Internet, not just for healthcare providers and medical researchers, but also for patients to view their own medical records. The project is using familiar Web technologies to support the search and retrieval of information, including patient demographics, medications, lab tests, and transcription reports. State-of-the-art security technologies protect patient privacy and the integrity of patient information. This paper describes the security architecture of the PCASSO system.

Computer Security↗

Patient confidentiality in the electronic age.

This article presents an overview of confidentiality issues as they relate to patient information stored or disseminated electronically. The three related issues of confidentiality, privacy, and security are defined, and how those issues have changed with the advent of computerization is discussed. Topic discussed are the risks versus the benefits of computerizing; threats to the organization and the patient; and the legal, organizational, and technological solutions that can and should be implemented to ensure all patient-related information is kept confidential and secure.

Computer Security↗