Use Of Data Processing Systems Research Articles

Studying Regional Clusters with the Use of Data Processing Systems: The Case of the Biopharmaceutical Cluster

Introduction. The dynamics of the development of the digital economy necessitates introduction of integrated information and analytical systems. This provides integration with the existing statistics for making managerial decisions in the field of public administration of cluster development in Russia. The objective of this study is to develop an information and analytical system, a database, and test it taking the case the biopharmaceutical cluster as an example. Materials and Methods. The study employed materials from the Clusters of Russia’s Regions database as well as statistical tools in accordance with the methodology proposed by the European Cluster Observatory. The tools used made it possible to calculate such factors as ‘coefficient of localization’, ‘size’ and ‘focus’; groups of Russian regions (stable, increasing, and decreasing ones) were identified depending on the state of the cluster under study. Results. Statistical databases containing the number of employees in the constituent entities of the Russian Federation for 2009–2018 have been formed and grouped in accordance with the structure of the core of the biopharmaceutical cluster. The core of the biopharmaceutical cluster includes two codes of the Russian National Classifier of Economic Activities: 24.4 – Manufacture of pharmaceutical products and 24.5 – Manufacture of soap; detergents, cleaning and polishing preparations; perfumes and cosmetic products. Regions of localization of biopharmaceutical clusters in Russia in 2009–2018 have been identified; corresponding cartograms have been developed. Discussion and Conclusion. The developed methodology enables quick monitoring of the concentration of employment in the regions and can be used to assess the effectiveness of managing the cluster development of the territory. The results of the study can be used by the authorities to substantiate the cluster industrial policy of the regions, as well as by researchers analyzing the state of the cluster structure of the regions, and by teachers implementing higher education programs in the field of Economic Geography and State and Municipal Administration.

Die Anwendung der EDV in größeren orthopädischen Kliniken

In a survey of 93 orthopedic clinics or departments conducted in 1985, concerning the use of data processing systems, a total of 64 replies were received. These were not yet affected by the new Federal (German) Hospital Tariffs Regulations and therefore reflect the actual needs of the institutions in question. There is a clear trend toward using data processing for scientific purposes. Data processing systems were already in use in 42 institutions. There are hardly any differences between university clinics and non-university establishments. It is significant that among the key systems used in orthopedic medicine, ICD9 plays a completely subordinate role. This is seen as proof that ICD9 is inadequate for orthopedic purposes. Attention is drawn to a simple diagnostic key used by the Oskar-Helene-Heim. The author also comments on the problems of special documentation departments.

Data processing in prehospital emergency medicine.

Information about the use of data processing systems in prehospital emergency medicine were collected, using a questionnaire sent to all German rescue helicopter bases. Twenty-seven of the 42 German rescue helicopter bases returned the questionnaire. At present, only 15 of them take advantage of electronic data processing. All of them enter their data manually by keyboard, automatic data transfer by means of a bar code reader is available at one base only. The stored data are used for statistical analysis (n = 15), quality assessment (n = 10), administration (n = 10), research (n = 9) and education (n = 7). Based on the data of this survey, one fifth of those who replied use their computer only for administrative purposes, the other also manage patient and mission data with their computer systems. Today, documentation of a rescue mission consists of patient data, vital data, mission data and information about the procedures carried out. The use of a computer system, however, requires more time and work than a handwritten record, when most of the data have to be entered manually using a keyboard. Future developments may include automated data transfer and digitization of handwritten documents to decrease the workload of the staff. For the automation of data transfer, configuration and synchronisation a standardized interface in all medical devices is required. There is a clear need for the use of data processing systems in emergency medicine.

Challenges in purchasing and inventory control

In this concluding installment in a multipart series, issues that should be considered in the improvement of hospital pharmacy purchasing and inventory control systems are presented. Pharmacists must be aware of possible variation in bioavailability among different formulations of the same drug and evaluate new vendors critically. Hospital pharmacists and industry representatives should strive for a cooperative relationship by fostering ongoing dialogue. Pharmacists must continue to demand competitive bid prices on generically equivalent products of equal quality. Firm contact prices cannot be expected if product use estimates are unreliable. It is unethical to encourage additional price reductions on competitive products after a formal bid has been received. Institutions should limit their participation to one group purchasing organization or wholesaler for the competitive bid process. Inventory management through methods such as ABC analysis, economic-order quantities, calculated optimum reorder points, and other quantitative measurements should become commonplace. The use of data processing systems and devices can enable pharmacists to become more proficient at pharmaceutical purchasing and inventory control. The acquisition and distribution of pharmaceuticals in health-care institutions require good management to capture the opportunities in this area for pharmacy to contribute to fiscally sound health care.