رضا اسدی

Understanding the various strategies used in the Covid-19 pandemic and its consequences can help to benefit better and more effectively in the future and identify its potential challenges and more effective and efficient solutions to deal with the epidemic. Put such things in front of policymakers in the health system. In this study, we intend to do a systematic review of the types of eHealth strategies used in the Povem Covid-19, the implications and weaknesses, and related challenges.

The present study is a scoping review. Keywords have been selected based on MESH and review of related texts in two main dimensions (Covid-19 disease and eHealth. In this study, valid scientific data sources including:PubMed / Medline, Web of Science, Embase, Cochrane Library, searched.

Of the 5,105 search results from databases and other sources, 3,683 records remained after the duplicate results were removed. We reviewed the remaining studies by title and abstract and identified 71 articles for further review of the full text. 21 studies had inclusion criteria. These studies focus on a variety of eHealth strategies, including electronic health record templates, robotic clinical care, virtual intensive care unit, cloud-based system for effective Covid-19 monitoring and control, mobile decision support system, COVID-19 self-assessment tool Web-based, ICU monitoring technology, call tracking, Internet hospitals, identification, screening and diagnosis of patients with Covid-19, and spatial and temporal reporting via network and GPS were centralized.

Such strategies have been successful in controlling hospital infections, reducing the relationship between treatment staff and patients, more accurate and faster diagnosis, providing services to a wide range of patients and providing quality services. However, taking advantage of such strategies in Pendmi Covid-19 has faced challenges such as resource constraints, legal barriers, and privacy. Collaborating with governments and local health forces with the public can greatly facilitate the benefit of eHealth strategies in a pandemic

Hemodialysis (HD) is a life-saving treatment for End Stage Renal Disease (ESRD) patients who have lost both kidneys. Despite that central venous catheter (CVC) placement is a common vascular access to be able to do HD, but risk of cardiovascular diseases, including stroke in patients with ESRD is 5–30 times greater than that in the general population. Specially, cerebrovascular accident (CVA) is one of significant complications after CVC insertion and the average annual stroke incidence is reported 19.5 per 10000 [person-years] in 2019. So, it is important to understand the set of factors that affect the incidence of CVA in this vulnerable population of patients. 

468 HD patients who underwent vascular access surgery over 2013-2018 in Hasheminejad Kidney Center were studied included 368 cuffed tunneled CVC and 100 non-cuffed CVC.

Studied patients aged 12-86 (mean age, 54.85) years, containing 324 females and 144 males, during 5 years. Finally, 19 patients (4.06% of all HD patients) with CVA identified. Of these, more than three fourths, 15 (78.95%) and 12 (63.16%), of them were hypertensive and diabetic, respectively, with an overall proportion 52.63% (10 individuals) of them were males and the remaining were females. One of CVA patients has 37 years and the rest of the patients are 50 to 73 years old (mean = 61). Risk factor of CVA most is happened in HD patients with CVC insertion before AVF (16 of 19 =84.21%).

There was no occasion to emphasize on young or old ages as the warning signs of stroke in HD patients. But it was concluded that “CVC placement before AVF”, “hypertension” and “diabetes mellitus” are CVA risk factors, respectively; and eventually "In ESRD patients, CVC placement can increase Risk of CVA incident" the investigators conclude. Funding: This work was supported by the Iran National Science Foundation (INSF) in post-doctoral course of the first author (MR-NNA-97006815)

The health industry is a competitive and lucrative industry that has attracted many investors. Therefore, hospitals must create competitive advantages to stay in the competitive market. Patient satisfaction with the services provided in hospitals is one of the most basic competitive advantages of this industry. Therefore, identifying and analyzing the factors affecting the increase of patient satisfaction is an undeniable necessity that has been addressed in this study.

Because patient satisfaction characteristics used in hospitals may have a hidden relationship with each other, data mining approaches and tools to analyze patient satisfaction according to the questionnaire used We used the hospital. After preparing the data, the characteristics mentioned in the questionnaire for patients, classification models were applied to the collected and cleared data, and with the feature selection methods, effective characteristics Patients were identified and analyzed for satisfaction or dissatisfaction.

Based on the findings of the present study, it can be concluded that the factors of patient mentality of the physician's expertise and skill, appropriate and patient behavior of the physician and food quality (hoteling) respectively have a higher chance of increasing patient satisfaction with Establish services provided in the hospital.

Comparing the approach used in this study with other studies showed that due to the hidden effects of variables on each other and the relatively large number of variables studied, one of the best options for analyzing patient satisfaction questionnaire data, Use of data mining tools and approaches

Despite managerial advances in hospital services, patient admission to ‎hospitals is still one of the problems that in addition to imposing additional treatment costs, ‎consumables and equipment depreciation, wastes time in providing services to New patients and also ‎dissatisfaction of patients and staff. Accordingly, in this study, the effect of each of the factors of ‎patient admission in Hasheminejad hospital has been identified and determined.‎

In order to achieve the purpose of the study, first the files of 314 patients admitted in 2019-‎‎2020 in this hospital were reviewed and the main reasons for patient admission were extracted. Then, ‎by using fuzzy hierarchical analysis, the effect of each of the identified causes was determined. In the ‎next stage, based on the brainstorming techniques with the presence of 20 experts in this field and ‎also the fish bone technique, the identified causes were identified. In the final stage, based on the ‎opinion of experts and brainstorming technique, executive solutions to reduce patient admission were ‎presented and using the approach of fuzzy hierarchical analysis from the point of view of 3 criteria, ‎cost and time required for implementation and feasibility of implementation. Were prioritized.‎

In this study, 5 main causes of disease recurrence, treatment follow-up, nosocomial ‎infections, cancellation of surgeries, disease complications and medication for patient admission were ‎identified in three treatment groups: urology, nephrology and vascular surgery. Based on the output ‎of the hierarchical analysis approach, it was found that: Nosocomial infections with an effect of 0.285 ‎and follow-up treatment with an effect of 0.229 had the highest effect on patients' return to the ‎hospital, also cancellation of surgery had the least effect compared to other factors. In the referral of ‎patients to the hospital, seven practical solutions were presented. Based on the output of fuzzy ‎hierarchical analysis approach, the solutions for recording and tracking hospital infections with the help ‎of the Internet of Things, the development of specialized nutritional training programs by hospital ‎nutrition experts, with scores of 0.182 and 0.165 had the highest executive priority.‎

The use of strategies proposed in this study to reduce patient admission to the hospital is ‎recommended to senior hospital managers.‎

The purpose of this study is to provide a developed model of human resource management and the model of staff evaluation, especially nurses in clinical wards in Shahid Hasheminejad Hospital.

The research method is qualitative-descriptive which has been done in two stages: 1- reviewing the current situation and 2- presenting the developed model. In the first phase, 32 unstructured and open interviews were conducted with officials of different units and senior managers of the hospital. Also, the current evaluation documents of the hospital were reviewed and analyzed using the content analysis technique. In the second stage, were presented, the models using the brainstorming technique in the panel of experts and using the analysis of the previous stage.

According to the presented model, in specialized committees with the presence of officials, based on the needs of the hospital, hospital jobs and positions are defined and a description of the duties of each position and the minimum capabilities required to obtain positions are compiled separately. The description of tasks developed over time, based on the strategic goals of the organization, instructions and programs of superior organizations such as accreditation is variable and dynamic. Human resources manager through superior organizations to attract the appropriate staff. After 3 months of recruiting a pilot, a test is taken to determine whether to continue working with him. According to the presented model, in the clinical wards of Hasheminejad Hospital during the year, 4 types of evaluation, evaluation based on job description, evaluation of the sample employee, general evaluation and end-of-year evaluation are performed. Finally, based on the results of 4 evaluations, educational priorities are determined based on the score of each process and per person, and the educational path is presented and implemented.

Based on the implementation of the model provided in one of the clinical wards of the hospital, it was observed that in addition to comprehensive evaluation of staff, the model provides continuous improvement in staff performance and subsequently increases the quality of services and patient satisfaction. Is. Also, due to the participation of staff in the evaluation, their satisfaction has increased.

Outsourcing has been considered by hospital managers as a model to reduce the financial burden and modify the financial system. The external suppliers must be qualified for the services they ought to provide to the hospitals. The use of the Balance Scorecard and the Analysis of Hierarchical Process can help assessing suppliers' capability to solve existing problems in the field.

This qualitative study was carried out from January to March 2018 in one of the teaching hospital in Tehran city, Iran. The following steps were taken for designing the intended model. First, the Balanced Scorecard (BSC) aspects were adapted to the concept of the health supply chain using the Focus Group method with 10 hospital experts and suppliers. The criteria determined based on the previous studies, strategic objectives of the hospital and the opinions of 5 hospital experts through Delphi method. Then, the identified criteria were classified in four aspects of the BSC. Finally, the hierarchical model was presented in the form of an evaluation balanced scorecard.

The results of the study led to identification of 19 criteria in four aspects of the BSC. In financial section, 5 criteria were identified for internal processes and innovation aspects, and 4 criteria for customers’ aspect. In the next step, a four-level hierarchical model was designed for evaluating performance of the supplier. The first level was evaluation of supplier, the second level contained the BSC aspects, the third level was the determined criteria and, finally, the fourth level encompassed the suppliers’ affaires.

The combination of the supply chain concept and the BSC offers useful and effective criteria for evaluation of suppliers. A hierarchical model is an appropriate tool for evaluating suppliers.