Written by Fatemeh Rangraz Jeddi, Mohsen Adib Hajbaghery, Hossein Akbari, Soheila Esmaili
Parent Category: Year 2016, Volume 8
Category: Volume 8, Issue 9, September 2016
Introduction: A successful implementation of an information system is impossible without sufficient knowledge of available technical resources of an institute. The aim of this study was to determine technical feasibility of a nursing clinical information system (NCIS) in Mazandaran province, Iran, 2015.
Methods: This cross-sectional study was conducted in three steps. In the first step, a data gathering tool was developed through an unsystematic literature review. In the second step, a questionnaire was developed and validity of the tool was confirmed by receiving opinions of faculty members and calculating indices of Content Validity Index (CVI) and Content Validity Ratio (CVR). The questionnaire reliability was confirmed by calculating Cronbach's alpha coefficient (α= 0.72). In the third step, the feasibility of implementation of NCIS was evaluated by forming a panel of IT experts (n= 30), and through a questionnaire. Data were collected by 5-point Likert scale, very low to very high (scoring 1-5). Scores of each item were calculated and score percentage was determined. Chi-square and Fisher Exact tests were used.
Results: Maximum possibility of implementing NCIS were in the hardware area, additional equipment (92.6%), in the area of software, financial software (99.4%), in the area of network equipment, the possibility of integration with other internal systems, (92.6%) and in the area of network security, the possibility of backup version for security purposes (97.4%). Type of employment was statistically significant according to IT experts' opinions (p= 0.014)
Conclusion: Hardware and software infrastructures for implementation of NCIS were desirable. The provision of more portable computers, advanced equipment such as barcode scanner, Radio-frequency identification (RFID), some approaches for increase accessibility of the system and essential databases from other resources and also increase of network lines' speed are necessary.
Keywords: Feasibility, Nursing Clinical Information, Nursing Information System, Technological Feasibility
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Ethics of Publishing Case Reports: Do We Need Ethics Approval and Patient Consent?
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The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
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The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
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About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: