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Brain stroke is one of the three most deadly diseases in humans, especially since the time window from onset to treatment is very short, and this time determines whether the patient can get effective treatment. In addition, although individuals store a large amount of historical medical information in various medical organizations, the information is isolated and does not play its value. In response to the above-mentioned problems, the business needs of the Brain stroke prevention and emergency services have analyzed, and a networked collaborative service system for brain stroke prevention and first aid has been designed and implemented. The services of the brain stroke prevention and first aid networked collaborative service system discover and select candidate services, design service interfaces, and promote the collaborative work of medical organizations. Because the system involves the patient's medical data, it has related to personal privacy. In the following work, this paper needs to further improve the security aspects of the system to ensure the safety and reliability of the patient health information data.INDEX TERMS Brain stroke, medical information, emergency service, networked collaborative service, first aid.
Brain stroke is one of the three most deadly diseases in humans, especially since the time window from onset to treatment is very short, and this time determines whether the patient can get effective treatment. In addition, although individuals store a large amount of historical medical information in various medical organizations, the information is isolated and does not play its value. In response to the above-mentioned problems, the business needs of the Brain stroke prevention and emergency services have analyzed, and a networked collaborative service system for brain stroke prevention and first aid has been designed and implemented. The services of the brain stroke prevention and first aid networked collaborative service system discover and select candidate services, design service interfaces, and promote the collaborative work of medical organizations. Because the system involves the patient's medical data, it has related to personal privacy. In the following work, this paper needs to further improve the security aspects of the system to ensure the safety and reliability of the patient health information data.INDEX TERMS Brain stroke, medical information, emergency service, networked collaborative service, first aid.
Background Prehospital delay is an important contributor to poor outcomes in both acute ischemic stroke (AIS) and acute myocardial infarction (AMI). We aimed to compare the prehospital delay and related factors between AIS and AMI. Methods and Results We identified patients with AIS and AMI who were admitted to the 11 Korean Regional Cardiocerebrovascular Centers via the emergency room between July 2016 and December 2018. Delayed arrival was defined as a prehospital delay of >3 hours, and the generalized linear mixed‐effects model was applied to explore the effects of potential predictors on delayed arrival. This study included 17 895 and 8322 patients with AIS and AMI, respectively. The median value of prehospital delay was 6.05 hours in AIS and 3.00 hours in AMI. The use of emergency medical services was the key determinant of delayed arrival in both groups. Previous history, 1‐person household, weekday presentation, and interhospital transfer had higher odds of delayed arrival in both groups. Age and sex had no or minimal effects on delayed arrival in AIS; however, age and female sex were associated with higher odds of delayed arrival in AMI. More severe symptoms had lower odds of delayed arrival in AIS, whereas no significant effect was observed in AMI. Off‐hour presentation had higher and prehospital awareness had lower odds of delayed arrival; however, the magnitude of their effects differed quantitatively between AIS and AMI. Conclusions The effects of some nonmodifiable and modifiable factors on prehospital delay differed between AIS and AMI. A differentiated strategy might be required to reduce prehospital delay.
Handover between physicians is a high-risk event for communication errors. Using electronic handover platforms has potential to improve the quality of informational transfer and therefore minimise this risk. This systematic review sought to compare the effectiveness of electronic handover methods on patient outcomes. Articles were identified by searching MEDLINE, EMbase, Scopus and CINAHL databases. Studies involving electronic handover between two healthcare personnel or teams, and which described patientspecific outcomes, were included. This search yielded 390 articles, with a total of nine publications included in the analysis. Outcomes reported in studies included length of stay, adverse event rates, time to procedure and handover completeness. This review suggests that e-handover may improve the handover completeness; however, it is unclear at this time if that translates to an improvement in patient care. The lack of reliable evidence highlights the need for further research exploring the effect of e-handovers on patient care.
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