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Biomedical subjects

F Soliman

Publications and source records attributed to F Soliman.

5 recordsLinked to original sources

Patient Dependency Knowledge-Based Systems.

The ability of Patient Dependency Systems to provide information for staffing decisions and budgetary development has been demonstrated. In addition, they have become powerful tools in modern hospital management. This growing interest in Patient Dependency Systems has renewed calls for their automation. As advances in Information Technology and in particular Knowledge-Based Engineering reach new heights, hospitals can no longer afford to ignore the potential benefits obtainable from developing and implementing Patient Dependency Knowledge-Based Systems. Experience has shown that the vast majority of decisions and rules used in the Patient Dependency method are too complex to capture in the form of a traditional programming language. Furthermore, the conventional Patient Dependency Information System automates the simple and rigid bookkeeping functions. On the other hand Knowledge-Based Systems automate complex decision making and judgmental processes and therefore are the appropriate technology for automating the Patient Dependency method. In this paper a new technique to automate Patient Dependency Systems using knowledge processing is presented. In this approach all Patient Dependency factors have been translated into a set of Decision Rules suitable for use in a Knowledge-Based System. The system is capable of providing the decision-maker with a number of scenarios and their possible outcomes. This paper also presents the development of Patient Dependency Knowledge-Based Systems, which can be used in allocating and evaluating resources and nursing staff in hospitals on the basis of patients' needs.

Accounting

Automation of patient dependency systems.

One of the most challenging decisions in resource allocations in hospitals is: how to allocate nursing duties on the basis of patients' needs? Patient Dependency Systems, in different forms, can be used to provide information for staffing decisions and budgetary developments. That is why Patient Dependency Systems are emerging as powerful tools in hospital management. It is anticipated that their use will grow, as hospitals everywhere come under pressure to reduce cost and improve the delivery and quality of health care to patients. Experience has shown that manual Patient Dependency Systems lack the ability to process and provide information fast enough to handle crisis situations. In addition, manual calculations are inefficient and are not free from human errors. However, the utilization of current advances in computing technology can overcome these disadvantages. Patient Dependency Systems are suitable for automation since their essence is too complex to handle manually. Furthermore, it is essential to automate the Patient Dependency Systems because of their critical role and their inherent complexity. In this paper, the automation of Patient Dependency Systems is presented. The development of Patient Dependency Automated Systems is shown to provide reliable and valid methods for evaluating the needs of patients in terms of the nursing effort required.

Algorithms

Improving resource utilization through patient dependency systems.

Hospitals are striving for funds and at the same time are required to improve the delivery and quality health care to patients. Naturally this strains hospital resources and requires sophistication in planning and in resource utilization. Nursing staff time remains one of the most important resources that require careful planning. Scheduling the time and duties of the nursing staff on the basis of patients' needs could improve the quality of care and ultimately leads to efficient utilization of hospital resources. This paper presents a model for allocating nursing staff duties using a Patient Dependency System. The model was developed using a time motion study conducted in a leading hospital. Resource utilization indexes were compared before and after the model was implemented. Results show significant increase in the efficiency of utilization of resources and improvement in the quality of the care. The model presented as a set of decision making rules suitable for use in a Patient Dependency Knowledge Based System.

Budgets

Physician clinical communication systems--an Australian perspective.

Information systems are increasingly being adopted by both community- and hospital-based providers of health care services. A gap is in linkages between carers both within a hospital and between hospitals and community providers. A range of technologies is available to improve communication of patient clinical data and other information. This paper discusses the benefits and challenges of electronic communications and reports on a successful case of physician use of a hospital communication system (information systems, technology, physicians, health care).

Attitude of Health Personnel

Etiology of catheter-associated sepsis. Correlation with thrombogenicity.

A series of 94 central venous catheters was observed at removal for gross evidence of intraluminal or surface thrombus deposition. All those that were later found to have positive cultures had been noted to display thrombus formation, while catheters having negative cultures were usually free of thrombus. Devices made of a relatively nonthrombogenic material (ethylene acrylic acid) were also relatively free of bacterial contamination.

Acrylates