Journal of Health Management and Informatics
Volume:7 Issue: 4, Oct 2020

Information systems enable the managers to access the proper information needed to make decisions. Management decision making based on real information leads to increased efficiency and effectiveness. Problems related to information system will lead to incorrect information and consequently incorrect decisions. Therefore, this study was conducted to investigate and identify the challenges of ISs in healthcare organizations.

This study is a systematic review. PubMed/Medline, Scopus, PMC and Iranian databases such as Magiran and SID were searched from 2013 to 2018. English and Persian studies were searched using keywords including IS, Hospital Information System, Health Information Technology, Health Information System, Medical Information Reporting System, Electronic Medical Record, Electronic Health Record, Medical Informatics, Health Informatics, Nursing Information System, Nursing Informatics, hospital Management Information System, Nursing Clinical Information System, Pharmacy Information System, and Electronic Medical Record System. In the initial search, 300 studies were identified. After screening the studies using the exclusion criteria, 101 of them were selected. Then, through complete reviews of full texts of the studies, 54 of them were excluded from the study. The rest of the articles were coded by Esterberg method and 6 themes of challenges were extracted.

The results showed that the challenges of IS in the health system included structural, manpower, financial/support, security, process, and organizational challenges.

To achieve the success and effectiveness of IS and make the right decisions based on the proper information, it is necessary to eliminate the issues that lead to problems in these systems.

Talent management assures the organizations that competent people with the right skills and right job position are employed. Moreover, paying attention to the performance of universities and the strategic role that they play in advancing the country’s goals is important Is of utmost significance The talent management process of faculty members in talent-based universities is essential to be designed and implemented in a way that the best individuals are considered and employed.The present study was conducted to design the model of talent management process fo Faculty Members for the Universities of Medical Sciences.

This is an applied and mixed method study. In the qualitative part, using semistructured interviews with 17 experts of Ahvaz Jundishapur University of Medical Sciences, the components of talent management were identified and analyzed by content analysis method. Using this interview method, the researcher asked all the respondents the same questions, and the sequence of the questions were predetermined based on the theoretical foundation. In the quantitative part, the statistical population consisted of 615 faculty members of Ahvaz Jundishapur University of Medical Sciences. The sample size was estimated 240 people using Cochrane method (1977) randomly.

Findings of the quantitative section confirmed the structure of talent management process which includes five distinct dimensions, identification and determination of talent needs, acquisition, development of potential abilities, strategic utilization, and maintenance of talents. Finally, a model for talent management process was proposed at Ahvaz University of Medical Sciences based on data from qualitative and quantitative research. According to the main findings of this study, 5 main categories and 14 subcategories show that the cases proposed by the experts are appropriate with the talent management process.

The based-on results, it has showed that talent management model is approved to Ahwaz University of medical sciences. The components of recruiting talented personnel, identifying talented employees, talent development, talent utilization, and talent retention was appropriate for presenting the talent management model.

Highly professional communication could result in the improvement of the quality of care such as reduced mortality, medical error, length of stay, and unplanned readmission. Therefore, the purpose of this study was to determine the nurses' perception of nurse-physician professional relationship in Abu-Ali-Sina organ transplant hospital of Shiraz.

 This is a descriptive study performed cross-sectionally in Abu-Ali-Sina hospital in Shiraz in 2020. The sampling method was the census. All nurses working at Abu-Ali-Sina Organ Transplant Hospital (N=295) participated in the study, so no sampling was applied.  A questionnaire was used to assess the nurses’ perception of the nurse-physician professional relationship that consisted of demographic data and 25 questions with three-point Likert scale about nurse-physician communication. This tool was used in a previous study(1). Data were analyzed using Statistical Package for Social Sciences (SPSS) version 24.

The finding of this study showed that the level of professional nurses- physician relationship was moderate from the nurses' point of view. Reporting of patient issues to physicians (72.2%), physicians' respect (67.8%), and trust (66.1%) to nurses were highly desirable at Abu-Ali-Sina Hospital. However, the nurse’s assertive skills to tell the physicians’ errors (14.2%) and their encouragement by physicians (10.2%) were not favorable.  

 From the results, it is possible to conclude that the nurse-physician professional relationship is at a moderate level in Abu-Ali Sina Transplant Center. Further studies are need to implement intervention for improving the level of physician and nurse’s relationship.

Cardiovascular diseases are one of the most important causes of mortality worldwide, and their prevention needs recognition of the factors affecting its occurrence and prospective planning. The aim of this study was to identify and rank the risk factors of cardiovascular diseases using MICMAC managerial approach. The present study was conducted in two phases. In the first phase, a comprehensive overview of cardiovascular disease risk factors was performed. In the second phase, the identified factors were ranked using MICMAC managerial approach. In the literature review, 16 cardiovascular diseases risk factors including stress, anxiety and depression, nutrition and an unhealthy diet, low physical activity, smoking and drug consumption, hypertension, high blood lipids, overweight and obesity, age, gender, diabetes, family history, alcohol consumption, air and noise pollution, socioeconomic status, ethnicity and race and genetic factors were identified. According to the MICMAC approach and direct effects, three factors including unhealthy diet, obesity, and socioeconomic status were ranked first to third, as the most influential risk factors of cardiovascular diseases, respectively. According to the findings and focusing on the three factors of unhealthy diet, obesity and economic and social status, appropriate educational interventions, notification, and awareness raising among the community using the mass media are suggested.

Recently, smartphones have been vastly utilized in monitoring the daily activities of people to check their health. The main challenge in this procedure is to distinguish similar activities based on signals recorded by using sensors mounted on smartphones and smartwatches.Although deep learning approaches have better addressed the above challenge than alternative methods, their performance may be severely degraded, especially when the mounted sensors receive disturbed signals due to smartphones and smartwatches not being in a fixed position.

In this article, a new deep learning structure is introduced to recognize challenging human activities by using smartphones and smartwatches, even when the recorded signals are noisy due to the sensors being unstable. In the proposed structure, the residual network of residual network (i.e. ROR) is engaged as a new concept inside the deep learning architecture, which provides greater stability against either disturbed or noisy signals.

The performance of the proposed method is evaluated on recorded signals from smartphones and smartwatches and compared with the state of art techniques containing deep learning and classic (non-deep) schemes. The obtained results show that the proposed method may improve the recognition parameters at least 1.79 percent against deep alternatives in distinguishing challenging activities (i.e. downstairs and upstairs). These superiorities reach at least 32.86 percent for classic methods, which are applied on the same data.

The effectiveness of the architecture in recognizing either challenging or non-challenging activities in the presence of unwanted cell phone shocks demonstrates its potential to be used as a mobile application for human activity recognition.

In past research, spirituality is associated with several organisational behaviours, but the factors that generate and bolster spirituality in the workplace are rarely studied. To make the organisation and its staff spiritual, it is necessary to provide a set of conditions in which the employees can play their role peacefully and they can be in utmost alignment with organisational goals. The current research intends to investigate the effect of organisational structure on workplace spirituality. In other words, the main objective of this research is to examine the effect of organisational structure’s dimensions on the spirituality at Qom University of Medical Sciences.

It is an applied cross-sectional research where organisational structure is the independent variable and spirituality in the workplace is the dependent variable. All the employees of Qom University of Medical Sciences, Qom, Iran, formed the population of the study and the whole population was studied. The main instrument of data collection was a questionnaire evaluating both independent and dependent variables.

The results highlighted that parameters like complexity and formalization (two organisational structure dimensions) had significant effects on workplace spirituality, while no relationship was observed between centralisation (another dimension of organisational structure) and workplace spirituality.According to the results, the organizational structure is an effective variable assisting the managers in creating a spiritual workplace.

It is recommended that the organisations should encourage their employees to express spirituality, so as to benefit from advantages of spiritual employees and identify the remedy in their organisational structure.

Nurses have a special position in hospitals due to their specialized, valuable and stressful job. Gender inequality together with the concerns about health inequalities need attention. Therefore, this study aimed to investigate gender equality among nurses in Fars province of Iran and to provide solutions to improve gender equality.

This quantitative-qualitative study was conducted in 2020. In the quantitative phase, the study population included all nurses employed in public and private hospitals of Fars province as well as all nursing students at Fars universities during 2011-2018. In the qualitative phase, 16 semi-structured interviews were conducted. Using SPSS version 23.0, the quantitative data was analyzed by applying descriptive statistics and Chi-squared test. Qualitative data were analyzed with Max QDA by using the framework method.

The majority of hospital nurses (79.81%) and nursing students (65.86%) were female. There were statistically significant relationships between gender and hospital, the type of employment, university, and the type of degree (P=0.00). In addition, 3 main themes including culture building, nursing education and employment as well as 17 sub-themes were identified to improve gender equality among nurses.

Fars province faces challenges such as gender inequality among nurses and the shortage of male nurses. It is essential to invest in the development and implementation of strategies and executive solutions for raising and maintaining the prestige of nursing profession and training qualified nurses with a focus on creating healthcare job opportunities for men and women equally.

Benchmarking, a powerful management approach for implementing excellent practices at the best cost and quality, is a recent concept in the healthcare system.

The ultimate goal of this research project was to describe and map patient care-flow process  at the Emergency Department (ED) in the Humber River Hospital (HRH) as a benchmark and the first full digital hospital in Canada. The motivation of the researcher to select the ED as a research territory was the existence of a massive model and benchmark ED with four zones.

This study was a cross-sectional, case report study. The population under the study was the staff who worked in the ED and were willing to participate in the research study. Informed written consent was obtained from the participants in the study. Several interviews were done to approve the validity of the questions with care providers that were co-investigators. Then, Staff in the ED were interviewed to get an understanding of the terminology and classifications used in the ED.  

The hospital was designed and built on three core principles; Lean, Green and Digital. It uses the best possible technology to support hospital delivery, such as dynamic and smart glass, Ascom phone (connects to Humber Information System and Electronic Medical Record), smart bed technology; robotic technology for certain surgical procedures; automated laboratory processing; automated guided vehicles that deliver medical supplies; and bedside computer screens that allow the patients to control their environments.