Objective To settle the "bottleneck" disputes existed in the key aspect of emergency treatment care of emergency department, long delayed time of medical workers or patients, perplexity of first-aid personnel, less standard in medical records. Methods Comparison experiment was carried out with the traditional model of emergency care in contrast with the new model, besides the service attitude was improved,the awareness of responsibility was strengthened and the first-aid technique was increased. Number of nursing errors and disputes, hospitalization time, satisfaction degree of patients and record trace-ability were observed. Results The nursing errors and disputes reduced by 46%, hospitalization time re-duced by an average of (7.2±0.2) minutes, satisfaction degree of patients increased by 10.99%, leaving 1673 record traceability of care. Conclusions The application of new management processes of nursing interface in emergency department can settle the "bottleneck" disputes of key interface, make the green passage of emergency patients more convenient and is conducive to safe care, less mortality, high work effi-ciency, which proves to be a reference for fellows.

Objective To investigate the genetic diversity of MICA, and to analyze the correlation between genetic polymorphisms of MICA and T1DM in population of Han and Li nationalities in Hainan province.Methods This study was performed as a case-control study.Fifty-five individuals with T1DM and Fifty-five healthy controls of Han and Li nationalities from Wuzhishan, Lingshui, Qiongzhong, Baisha, Ledong,Changjiang, Dongfang and Haikou regions in Hainan province(35 Male,20 Female of T1DM of Han;28 Male,27 Female of healthy controls of Han; 33 Male,22 Female of T1DM of Li; 28 Male, 27 Female of healthy controls of Li), were enrolled for the study.MICA allelic variation was analyzed by sequencing-based typing(PCR-SBT).Fisher′s exact test was performed to determine the statistical significance of the distribution and allele frequency of MICA.Results In healthy population,11 MICA-sequence and 5 MICA-STR alleles were found in Han nationality, while 13 MICA-sequence and 5 MICA-STR alleles were detected in Li nationality.The MICA-sequence allele MICA*008:01 and the MICA-STR allele MICA-A5 were most frequently observed in Han nationality[30.85%(29/94)and 41.49%(39/94), respectively],while MICA*002:01 and A4 were the most common in Li nationality[21.57%(22/102) and 36%(36/100), respectively].Among patients with T1DM, 10 MICA-sequence and 5 MICA-STR alleles were detected in Han, and 9 MICA-sequence and 5 MICA-STR alleles were found in Li.MICA*002:01 and A9 were most frequently observed in Han[29%(29/100),29.29%(29/99),respectively], while MICA*012:01, MICA*002:01 and the A4 were the most common in Li[21.15%(22/104), 21.15%(22/104),38.24%(39/102), respectively].The allelic frequency of MICA*002:01, MICA*010, MICA-A5, MICA-A6 and MICA-A9 between the healthy population and T 1DM patients of Han nationality(5.32%,22.34%,41.49 %,9.58%,6.38%, respectively in healthy population;29%,7%, 26.26%,2.02%,29.29%, respectively in T1DM patients), exist significant difference(χ2value were 18.799,9.233,5.218,5.197,16.762, respectively.P value were 0.000,0.002, 0.025,0.024,0.000, respectively.all P<0.05),while no significant difference(all P>0.05)between the healthy population and T1DM patients of Li nationality.Conclusions The most common MICA alleles were MICA*008:01 and MICA-A5 in healthy population of Han nationality, while MICA*002:01 and MICA-A4 in healthy population of Li nationality.MICA*002:01 and MICA-A9 were high frequency in T1DM patients of Han population,while the MICA*010,MICA-A5 and MICA-A6 were low frequency.There was not any MICA alleles associated with T1DM in Li nationality.