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Primary healthcare information system--the cornerstone for the next generation healthcare sector in Republic of Croatia.

At no time in the history of medicine has the growth in knowledge and technologies been so profound [Crossing the Quality Chasm: A New Health System for the 21st Century, Institute of Medicine (IOM), 2001. ISBN 0-309-07280-8]. However, healthcare delivery systems today are not able to keep up with the pace. Studies have shown that it takes an average of about 17 years for new knowledge generated by randomized trials to be incorporated into practice [B. Andrew, S. Boren, Managing clinical knowledge for health care improvement, in: Yearbook of Medical Informatics, National Library of Medicine, Bethesda, MD, 2000, pp. 65-70]. It is safe to say that today healthcare systems "have the data, but not information". In order to provide highest quality patient care, Republic of Croatia has started the process of introducing enterprise information systems to support business processes in the healthcare domain. Two major requirements are in focus: to provide efficient healthcare related data management in support of decision-making processes; and to support continuous process of healthcare resources spending optimization. The first initiated project refers to Primary Healthcare Information System (PHCIS) that provides domain of primary care with state-of-the-art enterprise information system that connects General Practitioners, Pediatricians and Gynecologists offices with the Croatian Institute for Health Insurance and Public Health Institute. In the years to come, PHCIS will serve as the main integration platform for connecting all other stakeholders and levels of healthcare (e.g. hospitals, pharmacies, laboratories) into single enterprise healthcare network. This article gives an overview of PHCIS, explains challenges that were faced in designing and implementing the system, and elaborates PHCIS role as the cornerstone for the next generation healthcare provisioning in Republic of Croatia.

Croatia↗

Quantitative indicators for a healthy city--the Rotterdam local health information system.

STUDY OBJECTIVE: The aim was to develop a local health information system for monitoring health status and for contributing to the development of local health policy. DESIGN: At district or even at neighbourhood level, data are collected on health status and factors related to health, including lifestyle, social and physical and environment, and the health care system. Data are collected from central and municipal Bureaus of Statistics, health care services, regional and municipal institutions, and by means of regularly performed local health surveys. SETTING: The 84 neighbourhoods of the Rotterdam Municipality. MAIN RESULTS: In the local health information system three sorts of data are collected: data on health status, data on health risk factors, and socioeconomic and demographic data. Two examples of data on health status are given (mortality and mental health) which were analysed. These data show differences in health status between several districts in Rotterdam, which can be related to differences in socioeconomic status between these districts. Examples are given of the influence of the project on local health policy in Rotterdam. CONCLUSIONS: The main conclusion is that the local health information system has great promise as an information system to give direction to local health policy. However if this promise is to be fulfilled, it will be necessary to obtain data from more varied sources.

Female↗

Criteria for the selection of a bedside information system for acute care units.

An increasing number of acute care bedside information systems, which automate the patient medical record, are now becoming available. These systems will become an integral part of a clinician's (nurses, physicians, physical therapists, etc.) day. Therefore, the automated system must support the clinician's current documentation process, be highly adaptable to user needs, and provide significant benefits if it is to become accepted by users. It is important that system selectors carefully evaluate each available system to ensure the best purchase. This article defines assessment criteria for the selection of a bedside information system for acute care units. Suggested pre-evaluation tasks for system purchasers are specified. The article provides guidelines and criteria to use when evaluating different bedside systems. These information systems will be major, long-term investments, and an informed and careful selection of a system will ensure a successful selection.

Computer Systems↗

Networking and medical information systems.

A local area communications network (LACN) has been implemented successfully at the University of California, San Francisco (UCSF) Hospital. This technology, developed by the Applied Physics Laboratory of the Johns Hopkins University, facilitates communication among systems previously considered "incompatible". The implication of this experiment is that a modular, evolutionary approach to medical systems will soon be a viable alternative to the "total" single-vendor approach now commonly used. Substantial preparation by a medical center, however, will be required in order to use an LACN properly. This will probably be done in many cases with the assistance of a new type of medical systems vendor, i.e., one having no systems of its own to sell.

Computers↗

An information system for family practice. Part 3: gathering encounter data.

This paper describes the development of a system for recording encounter data in family practice. The system has been developed by the Department of Family Medicine, University of Western Ontario, and came about as a natural addition to a previously reported method for describing and defining a practice population. The system gathers information on each encounter and includes data concerning the patient, the provider, the location, and certain other details concerning the encounter, including all problems dealt with on that occasion. The storage and analysis of these data are carried out by a computer. The uses of such data are many, and some of them will be dealt with in the fourth and last paper in this series.

Family Practice↗

Weaving the Web into legacy information systems.

For many years, client-server systems were developed as the backbone of clinical computing in leading hospitals around the country. Beth Israel Deaconess Medical Center now faces the challenge of bridging the technology gap between such systems and the Internet. While developing Web interfaces to legacy clinical systems gives a taste of the future, it is clear that complete institutional migration to the Web is not imminent. Asking clinicians to utilize two different systems, Web-based and legacy, in the interim phase is just one of the difficulties in such transition. This paper describes "Mbridge", a solution that allows legacy system users to exploit the benefits of the Internet in a fashion that does not interfere with their workflow and is both simple and affordable to implement. The service allows clinicians to work on the legacy platform while context-sensitive clinical content is streamed to the browser without their intervention. Using the system, we can gradually expose clinicians to new Web-based applications and resources without forcing them to operate two computing environments simultaneously. The service achieves these goals by means of linkage and coordination rather than by code-translation, data exchange or replication.

Computer Systems↗