In this paper, aconceptual evolutionary framework for aseismic decision support for hospitalsthat attempts to integrate a range of engineering and sociotechnical models is presented. Genetic algorithms are applied to ...In this paper, aconceptual evolutionary framework for aseismic decision support for hospitalsthat attempts to integrate a range of engineering and sociotechnical models is presented. Genetic algorithms are applied to find the optimal decision sets. A case study is completed to demonstrate how the frameworkmay applytoa specific hospital.The simulations show that the proposed evolutionary decision support framework is able to discover robust policy sets in either uncertain or fixed environments. The framework also qualitatively identifies some of the characteristicbehavior of the critical care organization. Thus, by utilizing the proposedframework, the decision makers are able to make more informed decisions, especially toenhance the seismic safety of the hospitals.展开更多
Background: Health information systems (HIS) play a major role in decision-making. The aim is to identify the components of computerized HIS and their relationship to administrative decisions at the main referral hosp...Background: Health information systems (HIS) play a major role in decision-making. The aim is to identify the components of computerized HIS and their relationship to administrative decisions at the main referral hospitals for Sana’a city. Method: This applied research is a descriptive, cross-sectional study in which the HIS of 7 hospitals affiliated with Sana’a city hospitals during “2017-2020”, was evaluated based on Self-administered questionnaires. Data were collected by using Self-administered questionnaires and analyzed in SPSS 16 by using descriptive statistics. Results: A total of 626 users (95.7%) had responded. 73%, 75%, 69%, 70%, 71% of users mentioned that resources were available, for physical, software, human, organizational, and decision computerized HIS, respectively. The study showed a strong relationship between computerized information systems with their physical, software, human and organizational components, and medical and administrative decisions. While the study showed the absence of a relationship between demographic factors and computerized information systems with their hardware, software, human and organizational components, medical and administrative decisions, except for gender with organizational components, age, qualification with hardware and software components, and years of experience with all study variables. Conclusion: The application of HIS at hospitals in decision-making has several challenges, including the lack of updating of hardware and software components Furthermore, the absence of specific, focusing on developing their technical staffs, and mobilizing financial resources to achieve implementation properly. Therefore, establishing the technical management with clear roles and tasks with multi-disciplinary, and increasing the support of the administrative leadership in the process of implementing HIS are recommended.展开更多
基金National Science Foundation Under Grant No.EEC-9701471
文摘In this paper, aconceptual evolutionary framework for aseismic decision support for hospitalsthat attempts to integrate a range of engineering and sociotechnical models is presented. Genetic algorithms are applied to find the optimal decision sets. A case study is completed to demonstrate how the frameworkmay applytoa specific hospital.The simulations show that the proposed evolutionary decision support framework is able to discover robust policy sets in either uncertain or fixed environments. The framework also qualitatively identifies some of the characteristicbehavior of the critical care organization. Thus, by utilizing the proposedframework, the decision makers are able to make more informed decisions, especially toenhance the seismic safety of the hospitals.
文摘Background: Health information systems (HIS) play a major role in decision-making. The aim is to identify the components of computerized HIS and their relationship to administrative decisions at the main referral hospitals for Sana’a city. Method: This applied research is a descriptive, cross-sectional study in which the HIS of 7 hospitals affiliated with Sana’a city hospitals during “2017-2020”, was evaluated based on Self-administered questionnaires. Data were collected by using Self-administered questionnaires and analyzed in SPSS 16 by using descriptive statistics. Results: A total of 626 users (95.7%) had responded. 73%, 75%, 69%, 70%, 71% of users mentioned that resources were available, for physical, software, human, organizational, and decision computerized HIS, respectively. The study showed a strong relationship between computerized information systems with their physical, software, human and organizational components, and medical and administrative decisions. While the study showed the absence of a relationship between demographic factors and computerized information systems with their hardware, software, human and organizational components, medical and administrative decisions, except for gender with organizational components, age, qualification with hardware and software components, and years of experience with all study variables. Conclusion: The application of HIS at hospitals in decision-making has several challenges, including the lack of updating of hardware and software components Furthermore, the absence of specific, focusing on developing their technical staffs, and mobilizing financial resources to achieve implementation properly. Therefore, establishing the technical management with clear roles and tasks with multi-disciplinary, and increasing the support of the administrative leadership in the process of implementing HIS are recommended.
