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Beyond informatics: an electronic community infrastructure for public health.

Public health agencies are in the early stages of building an electronic infrastructure that will link them to each other and eventually to the "information superhighway." Emphasis in planning and development is on data systems and the information and training services that can enhance essential public health services. This article argues for a larger vision of the potential of electronic networks for public health. It discusses the health and other challenges facing public health, the limitations of conventional efforts, and the emerging consensus on public health core functions. Finally, it examines current and potential uses of information technology. The article concludes by proposing that the public health community should develop a collaborative and inclusive vision of public health in an electronic world and provide guidance and support for agency implementation to ensure a stronger system that can meet the health and health equity challenges ahead.

Community Networks↗

Management implications of the Health Insurance Portability and Accountability Act.

Health care professionals are faced with ever-changing rules and regulations and technological advances. Add to this the 1996 Health Insurance Portability and Accountability Act (HIPAA) and the health care manager's list of challenges continues to expand. This article presents an overview of HIPAA requirements and tools for use by health care managers in ensuring their facility is in compliance with the latest rulings.

Computer Communication Networks↗

Nursing the Net.

Explore the source record for details and available documents.

Computer Communication Networks↗

Data Grids: a new computational infrastructure for data-intensive science.

Twenty-first-century scientific and engineering enterprises are increasingly characterized by their geographic dispersion and their reliance on large data archives. These characteristics bring with them unique challenges. First, the increasing size and complexity of modern data collections require significant investments in information technologies to store, retrieve and analyse them. Second, the increased distribution of people and resources in these projects has made resource sharing and collaboration across significant geographic and organizational boundaries critical to their success. In this paper I explore how computing infrastructures based on Data Grids offer data-intensive enterprises a comprehensive, scalable framework for collaboration and resource sharing. A detailed example of a Data Grid framework is presented for a Large Hadron Collider experiment, where a hierarchical set of laboratory and university resources comprising petaflops of processing power and a multi-petabyte data archive must be efficiently used by a global collaboration. The experience gained with these new information systems, providing transparent managed access to massive distributed data collections, will be applicable to large-scale, data-intensive problems in a wide spectrum of scientific and engineering disciplines, and eventually in industry and commerce. Such systems will be needed in the coming decades as a central element of our information-based society.

Computer Communication Networks↗

Computationally intensive econometrics using a distributed matrix-programming language.

This paper reviews the need for powerful computing facilities in econometrics, focusing on concrete problems which arise in financial economics and in macroeconomics. We argue that the profession is being held back by the lack of easy-to-use generic software which is able to exploit the availability of cheap clusters of distributed computers. Our response is to extend, in a number of directions, the well-known matrix-programming interpreted language Ox developed by the first author. We note three possible levels of extensions: (i) Ox with parallelization explicit in the Ox code; (ii) Ox with a parallelized run-time library; and (iii) Ox with a parallelized interpreter. This paper studies and implements the first case, emphasizing the need for deterministic computing in science. We give examples in the context of financial economics and time-series modelling.

Computer Communication Networks↗

Self-organization and complexity: a new age for theory, computation and experiment.

I first describe the notion of self-organization as a property of far-from-equilibrium nonlinear dissipative dynamical systems. Rather than describing such complex systems at a purely phenomenological level, however, I focus attention on the emergent nature of this complexity, by analysing a few examples of physical and physicochemical systems with simple underlying microscopic dynamics yet complex, self-organizing macroscopic properties. These include several mesoscopic models of fluid dynamics as well as a modern approach to nucleation and growth phenomena. Finally, I discuss how the advent of computational grids is set to provide a major boost to the study of such complex, self-organizing systems.

Adaptation, Physiological↗

Synchronized pseudorandom systems and their application to speech communication.

An approach to the synchronization of pseudorandom systems is proposed and applied to secure speech communication. The encoding signal produced by the pseudorandom synchronization scheme passes the random test, and shows much more complex dynamics, better random properties, and greater sensitivity to parameter mismatches than that produced by the active-passive decomposition scheme. Also, two coupled pseudorandom systems can be exactly synchronized despite their different initial states or seeds. Pseudorandom encoding and synchronization may yield great security in communication.

Biophysical Phenomena↗

PACS/information systems interoperability using Enterprise Communication Framework.

Interoperability among healthcare applications goes beyond connectivity to allow components to exchange structured information and work together in a predictable, coordinated fashion. To facilitate building an interoperability infrastructure, an Enterprise Communication Framework (ECF) was developed by the members of the Andover Working Group for Healthcare Interoperability (AWG-OHI). The ECF consists of four models: 1) Use Case Model, 2) Domain Information Model (DIM), 3) Interaction Model, and 4) Message Model. To realize this framework, a software component called the Enterprise Communicator (EC) is used. In this paper, we will demonstrate the use of the framework in interoperating a picture archiving and communication system (PACS) with a radiology information system (RIS).

Computer Communication Networks↗

Teleworks: a CSCW application for remote medical diagnosis support and teleconsultation.

The present paper describes methods for the design of both synchronous and asynchronous computer-supported cooperative work (CSCW) procedures suitable for the medical application area and specifically for the purpose of medical teleconsultation and remote diagnosis support. The experimental implementation of a CSCW system built upon a PC/Windows platform is detailed as an example of a low-cost system suitable for adoption in a wide range of medical teleconsultation applications.

Computer Communication Networks↗