ABSTRACT
Introduction: Documenting nursing reports and recording data are among the first and most important tasks of nurses. Speech recognition technology has been introduced as one of the most effective technologies in nursing documentation, which supports the nursing and patient interaction as well as the training of nurses through saving nurses' time. This study aimed to identify the benefits, barriers and facilitators of using this technology in documenting nursing reports
Methods: In this review study, various studies on the use of speech recognition technology in the field of nursing documentation published from 1990 to 2017 were reviewed at Pubmed, Science Direct, Google Scholar, Magiran, SID databases and, finally, ten papers were included in the review. The inclusion criteria were studies published in Persian or English language and the implementation of the speech recognition system in the field of nursing documentation and reporting
Results: Improvement of workflow, with the highest frequency, was the most important benefit. Reduction of the accuracy of speech recognition software was the first mentioned barrier of using this technology followed by the impact of environmental noises. Sufficient training and use of appropriate tools were found as the most important facilitators of using this technology
Conclusion: This study helps hospital managers, nursing managers and IT managers of hospitals to better manage selection and implementation of speech recognition system for documenting nursing reports. As a result, reducing productivity due to inaccuracy in voice recognition, lack of improvement in the quality of documentation of nursing reports, increasing the workload of nurses and their involvement in indirect care activities can be prevented
ABSTRACT
Studies have indicated that thrombophilic genes polymorphisms are associated with recurrent pregnancy loss [RPL] in the Iranian population. We aimed to evaluate the precise association between thrombophilic genes polymorphisms [MTHFR C677T, MTHFR A1298C, Prothrombin G20210A, FVL G1691A, and PAI-1 4G/5G] and RPL risk in the Iranian population. PubMed, Web of Science, Google Scholar, and ISC were searched for eligible articles published up to April 1, 2017. In total, 37 case-control studies in 18 relevant publications were selected: 1,199, 1,194, 630, 830, and 955 RPL cases and 1,079, 1079, 594, 794, and 499 controls for MTHFR C677T, MTHFR A1298C,Prothrombin G20210A, FVL G1691A, and PAI-1 4G/5G, respectively. The results indicated a significant increased risk of RPL in all genetic models in the population. Also, Prothrombin G20210A and FVL G1691A as well as PAI-1 4G/5G polymorphisms were associated with RPL risk in the Iranian population. Hence, thrombophilic genes polymorphisms are associated with an increased RPL risk in the Iranian population